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📄 api.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. package rekognition import ( "fmt" "time" "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/aws/awsutil" "github.com/aws/aws-sdk-go/aws/request" "github.com/aws/aws-sdk-go/private/protocol" "github.com/aws/aws-sdk-go/private/protocol/jsonrpc" ) const opAssociateFaces = "AssociateFaces" // AssociateFacesRequest generates a "aws/request.Request" representing the // client's request for the AssociateFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See AssociateFaces for more information on using the AssociateFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the AssociateFacesRequest method. // req, resp := client.AssociateFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) AssociateFacesRequest(input AssociateFacesInput) (req request.Request, output AssociateFacesOutput) { op := &request.Operation{ Name: opAssociateFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &AssociateFacesInput{} } output = &AssociateFacesOutput{} req = c.newRequest(op, input, output) return } // AssociateFaces API operation for Amazon Rekognition. // // Associates one or more faces with an existing UserID. Takes an array of FaceIds. // Each FaceId that are present in the FaceIds list is associated with the provided // UserID. The maximum number of total FaceIds per UserID is 100. // // The UserMatchThreshold parameter specifies the minimum user match confidence // required for the face to be associated with a UserID that has at least one // FaceID already associated. This ensures that the FaceIds are associated with // the right UserID. The value ranges from 0-100 and default value is 75. // // If successful, an array of AssociatedFace objects containing the associated // FaceIds is returned. If a given face is already associated with the given // UserID, it will be ignored and will not be returned in the response. If a // given face is already associated to a different UserID, isn't found in the // collection, doesn’t meet the UserMatchThreshold, or there are already 100 // faces associated with the UserID, it will be returned as part of an array // of UnsuccessfulFaceAssociations. // // The UserStatus reflects the status of an operation which updates a UserID // representation with a list of given faces. The UserStatus can be: // // - ACTIVE - All associations or disassociations of FaceID(s) for a UserID // are complete. // // - CREATED - A UserID has been created, but has no FaceID(s) associated // with it. // // - UPDATING - A UserID is being updated and there are current associations // or disassociations of FaceID(s) taking place. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation AssociateFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ConflictException // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. ** // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. func (c Rekognition) AssociateFaces(input AssociateFacesInput) (AssociateFacesOutput, error) { req, out := c.AssociateFacesRequest(input) return out, req.Send() } // AssociateFacesWithContext is the same as AssociateFaces with the addition of // the ability to pass a context and additional request options. // // See AssociateFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) AssociateFacesWithContext(ctx aws.Context, input AssociateFacesInput, opts ...request.Option) (AssociateFacesOutput, error) { req, out := c.AssociateFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCompareFaces = "CompareFaces" // CompareFacesRequest generates a "aws/request.Request" representing the // client's request for the CompareFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CompareFaces for more information on using the CompareFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CompareFacesRequest method. // req, resp := client.CompareFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CompareFacesRequest(input CompareFacesInput) (req request.Request, output CompareFacesOutput) { op := &request.Operation{ Name: opCompareFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CompareFacesInput{} } output = &CompareFacesOutput{} req = c.newRequest(op, input, output) return } // CompareFaces API operation for Amazon Rekognition. // // Compares a face in the source input image with each of the 100 largest faces // detected in the target input image. // // If the source image contains multiple faces, the service detects the largest // face and compares it with each face detected in the target image. // // CompareFaces uses machine learning algorithms, which are probabilistic. A // false negative is an incorrect prediction that a face in the target image // has a low similarity confidence score when compared to the face in the source // image. To reduce the probability of false negatives, we recommend that you // compare the target image against multiple source images. If you plan to use // CompareFaces to make a decision that impacts an individual's rights, privacy, // or access to services, we recommend that you pass the result to a human for // review and further validation before taking action. // // You pass the input and target images either as base64-encoded image bytes // or as references to images in an Amazon S3 bucket. If you use the AWS CLI // to call Amazon Rekognition operations, passing image bytes isn't supported. // The image must be formatted as a PNG or JPEG file. // // In response, the operation returns an array of face matches ordered by similarity // score in descending order. For each face match, the response provides a bounding // box of the face, facial landmarks, pose details (pitch, roll, and yaw), quality // (brightness and sharpness), and confidence value (indicating the level of // confidence that the bounding box contains a face). The response also provides // a similarity score, which indicates how closely the faces match. // // By default, only faces with a similarity score of greater than or equal to // 80% are returned in the response. You can change this value by specifying // the SimilarityThreshold parameter. // // CompareFaces also returns an array of faces that don't match the source image. // For each face, it returns a bounding box, confidence value, landmarks, pose // details, and quality. The response also returns information about the face // in the source image, including the bounding box of the face and confidence // value. // // The QualityFilter input parameter allows you to filter out detected faces // that don’t meet a required quality bar. The quality bar is based on a variety // of common use cases. Use QualityFilter to set the quality bar by specifying // LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify // NONE. The default value is NONE. // // If the image doesn't contain Exif metadata, CompareFaces returns orientation // information for the source and target images. Use these values to display // the images with the correct image orientation. // // If no faces are detected in the source or target images, CompareFaces returns // an InvalidParameterException error. // // This is a stateless API operation. That is, data returned by this operation // doesn't persist. // // For an example, see Comparing Faces in Images in the Amazon Rekognition Developer // Guide. // // This operation requires permissions to perform the rekognition:CompareFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CompareFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) CompareFaces(input CompareFacesInput) (CompareFacesOutput, error) { req, out := c.CompareFacesRequest(input) return out, req.Send() } // CompareFacesWithContext is the same as CompareFaces with the addition of // the ability to pass a context and additional request options. // // See CompareFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CompareFacesWithContext(ctx aws.Context, input CompareFacesInput, opts ...request.Option) (CompareFacesOutput, error) { req, out := c.CompareFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCopyProjectVersion = "CopyProjectVersion" // CopyProjectVersionRequest generates a "aws/request.Request" representing the // client's request for the CopyProjectVersion operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CopyProjectVersion for more information on using the CopyProjectVersion // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CopyProjectVersionRequest method. // req, resp := client.CopyProjectVersionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CopyProjectVersionRequest(input CopyProjectVersionInput) (req request.Request, output CopyProjectVersionOutput) { op := &request.Operation{ Name: opCopyProjectVersion, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CopyProjectVersionInput{} } output = &CopyProjectVersionOutput{} req = c.newRequest(op, input, output) return } // CopyProjectVersion API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Copies a version of an Amazon Rekognition Custom Labels model from a source // project to a destination project. The source and destination projects can // be in different AWS accounts but must be in the same AWS Region. You can't // copy a model to another AWS service. // // To copy a model version to a different AWS account, you need to create a // resource-based policy known as a project policy. You attach the project policy // to the source project by calling PutProjectPolicy. The project policy gives // permission to copy the model version from a trusting AWS account to a trusted // account. // // For more information creating and attaching a project policy, see Attaching // a project policy (SDK) in the Amazon Rekognition Custom Labels Developer // Guide. // // If you are copying a model version to a project in the same AWS account, // you don't need to create a project policy. // // Copying project versions is supported only for Custom Labels models. // // To copy a model, the destination project, source project, and source model // version must already exist. // // Copying a model version takes a while to complete. To get the current status, // call DescribeProjectVersions and check the value of Status in the ProjectVersionDescription // object. The copy operation has finished when the value of Status is COPYING_COMPLETED. // // This operation requires permissions to perform the rekognition:CopyProjectVersion // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CopyProjectVersion for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceInUseException // The specified resource is already being used. func (c Rekognition) CopyProjectVersion(input CopyProjectVersionInput) (CopyProjectVersionOutput, error) { req, out := c.CopyProjectVersionRequest(input) return out, req.Send() } // CopyProjectVersionWithContext is the same as CopyProjectVersion with the addition of // the ability to pass a context and additional request options. // // See CopyProjectVersion for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CopyProjectVersionWithContext(ctx aws.Context, input CopyProjectVersionInput, opts ...request.Option) (CopyProjectVersionOutput, error) { req, out := c.CopyProjectVersionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateCollection = "CreateCollection" // CreateCollectionRequest generates a "aws/request.Request" representing the // client's request for the CreateCollection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateCollection for more information on using the CreateCollection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateCollectionRequest method. // req, resp := client.CreateCollectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateCollectionRequest(input CreateCollectionInput) (req request.Request, output CreateCollectionOutput) { op := &request.Operation{ Name: opCreateCollection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateCollectionInput{} } output = &CreateCollectionOutput{} req = c.newRequest(op, input, output) return } // CreateCollection API operation for Amazon Rekognition. // // Creates a collection in an AWS Region. You can add faces to the collection // using the IndexFaces operation. // // For example, you might create collections, one for each of your application // users. A user can then index faces using the IndexFaces operation and persist // results in a specific collection. Then, a user can search the collection // for faces in the user-specific container. // // When you create a collection, it is associated with the latest version of // the face model version. // // Collection names are case-sensitive. // // This operation requires permissions to perform the rekognition:CreateCollection // action. If you want to tag your collection, you also require permission to // perform the rekognition:TagResource operation. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateCollection for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceAlreadyExistsException // A resource with the specified ID already exists. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. func (c Rekognition) CreateCollection(input CreateCollectionInput) (CreateCollectionOutput, error) { req, out := c.CreateCollectionRequest(input) return out, req.Send() } // CreateCollectionWithContext is the same as CreateCollection with the addition of // the ability to pass a context and additional request options. // // See CreateCollection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateCollectionWithContext(ctx aws.Context, input CreateCollectionInput, opts ...request.Option) (CreateCollectionOutput, error) { req, out := c.CreateCollectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateDataset = "CreateDataset" // CreateDatasetRequest generates a "aws/request.Request" representing the // client's request for the CreateDataset operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateDataset for more information on using the CreateDataset // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateDatasetRequest method. // req, resp := client.CreateDatasetRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateDatasetRequest(input CreateDatasetInput) (req request.Request, output CreateDatasetOutput) { op := &request.Operation{ Name: opCreateDataset, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateDatasetInput{} } output = &CreateDatasetOutput{} req = c.newRequest(op, input, output) return } // CreateDataset API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Creates a new Amazon Rekognition Custom Labels dataset. You can create a // dataset by using an Amazon Sagemaker format manifest file or by copying an // existing Amazon Rekognition Custom Labels dataset. // // To create a training dataset for a project, specify TRAIN for the value of // DatasetType. To create the test dataset for a project, specify TEST for the // value of DatasetType. // // The response from CreateDataset is the Amazon Resource Name (ARN) for the // dataset. Creating a dataset takes a while to complete. Use DescribeDataset // to check the current status. The dataset created successfully if the value // of Status is CREATE_COMPLETE. // // To check if any non-terminal errors occurred, call ListDatasetEntries and // check for the presence of errors lists in the JSON Lines. // // Dataset creation fails if a terminal error occurs (Status = CREATE_FAILED). // Currently, you can't access the terminal error information. // // For more information, see Creating dataset in the Amazon Rekognition Custom // Labels Developer Guide. // // This operation requires permissions to perform the rekognition:CreateDataset // action. If you want to copy an existing dataset, you also require permission // to perform the rekognition:ListDatasetEntries action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateDataset for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - ResourceAlreadyExistsException // A resource with the specified ID already exists. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) CreateDataset(input CreateDatasetInput) (CreateDatasetOutput, error) { req, out := c.CreateDatasetRequest(input) return out, req.Send() } // CreateDatasetWithContext is the same as CreateDataset with the addition of // the ability to pass a context and additional request options. // // See CreateDataset for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateDatasetWithContext(ctx aws.Context, input CreateDatasetInput, opts ...request.Option) (CreateDatasetOutput, error) { req, out := c.CreateDatasetRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateFaceLivenessSession = "CreateFaceLivenessSession" // CreateFaceLivenessSessionRequest generates a "aws/request.Request" representing the // client's request for the CreateFaceLivenessSession operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateFaceLivenessSession for more information on using the CreateFaceLivenessSession // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateFaceLivenessSessionRequest method. // req, resp := client.CreateFaceLivenessSessionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateFaceLivenessSessionRequest(input CreateFaceLivenessSessionInput) (req request.Request, output CreateFaceLivenessSessionOutput) { op := &request.Operation{ Name: opCreateFaceLivenessSession, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateFaceLivenessSessionInput{} } output = &CreateFaceLivenessSessionOutput{} req = c.newRequest(op, input, output) return } // CreateFaceLivenessSession API operation for Amazon Rekognition. // // This API operation initiates a Face Liveness session. It returns a SessionId, // which you can use to start streaming Face Liveness video and get the results // for a Face Liveness session. // // You can use the OutputConfig option in the Settings parameter to provide // an Amazon S3 bucket location. The Amazon S3 bucket stores reference images // and audit images. If no Amazon S3 bucket is defined, raw bytes are sent instead. // // You can use AuditImagesLimit to limit the number of audit images returned // when GetFaceLivenessSessionResults is called. This number is between 0 and // 4. By default, it is set to 0. The limit is best effort and based on the // duration of the selfie-video. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateFaceLivenessSession for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) CreateFaceLivenessSession(input CreateFaceLivenessSessionInput) (CreateFaceLivenessSessionOutput, error) { req, out := c.CreateFaceLivenessSessionRequest(input) return out, req.Send() } // CreateFaceLivenessSessionWithContext is the same as CreateFaceLivenessSession with the addition of // the ability to pass a context and additional request options. // // See CreateFaceLivenessSession for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateFaceLivenessSessionWithContext(ctx aws.Context, input CreateFaceLivenessSessionInput, opts ...request.Option) (CreateFaceLivenessSessionOutput, error) { req, out := c.CreateFaceLivenessSessionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateProject = "CreateProject" // CreateProjectRequest generates a "aws/request.Request" representing the // client's request for the CreateProject operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateProject for more information on using the CreateProject // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateProjectRequest method. // req, resp := client.CreateProjectRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateProjectRequest(input CreateProjectInput) (req request.Request, output CreateProjectOutput) { op := &request.Operation{ Name: opCreateProject, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateProjectInput{} } output = &CreateProjectOutput{} req = c.newRequest(op, input, output) return } // CreateProject API operation for Amazon Rekognition. // // Creates a new Amazon Rekognition project. A project is a group of resources // (datasets, model versions) that you use to create and manage a Amazon Rekognition // Custom Labels Model or custom adapter. You can specify a feature to create // the project with, if no feature is specified then Custom Labels is used by // default. For adapters, you can also choose whether or not to have the project // auto update by using the AutoUpdate argument. This operation requires permissions // to perform the rekognition:CreateProject action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateProject for usage and error information. // // Returned Error Types: // // - ResourceInUseException // The specified resource is already being used. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) CreateProject(input CreateProjectInput) (CreateProjectOutput, error) { req, out := c.CreateProjectRequest(input) return out, req.Send() } // CreateProjectWithContext is the same as CreateProject with the addition of // the ability to pass a context and additional request options. // // See CreateProject for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateProjectWithContext(ctx aws.Context, input CreateProjectInput, opts ...request.Option) (CreateProjectOutput, error) { req, out := c.CreateProjectRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateProjectVersion = "CreateProjectVersion" // CreateProjectVersionRequest generates a "aws/request.Request" representing the // client's request for the CreateProjectVersion operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateProjectVersion for more information on using the CreateProjectVersion // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateProjectVersionRequest method. // req, resp := client.CreateProjectVersionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateProjectVersionRequest(input CreateProjectVersionInput) (req request.Request, output CreateProjectVersionOutput) { op := &request.Operation{ Name: opCreateProjectVersion, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateProjectVersionInput{} } output = &CreateProjectVersionOutput{} req = c.newRequest(op, input, output) return } // CreateProjectVersion API operation for Amazon Rekognition. // // Creates a new version of Amazon Rekognition project (like a Custom Labels // model or a custom adapter) and begins training. Models and adapters are managed // as part of a Rekognition project. The response from CreateProjectVersion // is an Amazon Resource Name (ARN) for the project version. // // The FeatureConfig operation argument allows you to configure specific model // or adapter settings. You can provide a description to the project version // by using the VersionDescription argment. Training can take a while to complete. // You can get the current status by calling DescribeProjectVersions. Training // completed successfully if the value of the Status field is TRAINING_COMPLETED. // Once training has successfully completed, call DescribeProjectVersions to // get the training results and evaluate the model. // // This operation requires permissions to perform the rekognition:CreateProjectVersion // action. // // The following applies only to projects with Amazon Rekognition Custom Labels // as the chosen feature: // // You can train a model in a project that doesn't have associated datasets // by specifying manifest files in the TrainingData and TestingData fields. // // If you open the console after training a model with manifest files, Amazon // Rekognition Custom Labels creates the datasets for you using the most recent // manifest files. You can no longer train a model version for the project by // specifying manifest files. // // Instead of training with a project without associated datasets, we recommend // that you use the manifest files to create training and test datasets for // the project. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateProjectVersion for usage and error information. // // Returned Error Types: // // - ResourceInUseException // The specified resource is already being used. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. func (c Rekognition) CreateProjectVersion(input CreateProjectVersionInput) (CreateProjectVersionOutput, error) { req, out := c.CreateProjectVersionRequest(input) return out, req.Send() } // CreateProjectVersionWithContext is the same as CreateProjectVersion with the addition of // the ability to pass a context and additional request options. // // See CreateProjectVersion for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateProjectVersionWithContext(ctx aws.Context, input CreateProjectVersionInput, opts ...request.Option) (CreateProjectVersionOutput, error) { req, out := c.CreateProjectVersionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateStreamProcessor = "CreateStreamProcessor" // CreateStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the CreateStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateStreamProcessor for more information on using the CreateStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateStreamProcessorRequest method. // req, resp := client.CreateStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateStreamProcessorRequest(input CreateStreamProcessorInput) (req request.Request, output CreateStreamProcessorOutput) { op := &request.Operation{ Name: opCreateStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateStreamProcessorInput{} } output = &CreateStreamProcessorOutput{} req = c.newRequest(op, input, output) return } // CreateStreamProcessor API operation for Amazon Rekognition. // // Creates an Amazon Rekognition stream processor that you can use to detect // and recognize faces or to detect labels in a streaming video. // // Amazon Rekognition Video is a consumer of live video from Amazon Kinesis // Video Streams. There are two different settings for stream processors in // Amazon Rekognition: detecting faces and detecting labels. // // - If you are creating a stream processor for detecting faces, you provide // as input a Kinesis video stream (Input) and a Kinesis data stream (Output) // stream for receiving the output. You must use the FaceSearch option in // Settings, specifying the collection that contains the faces you want to // recognize. After you have finished analyzing a streaming video, use StopStreamProcessor // to stop processing. // // - If you are creating a stream processor to detect labels, you provide // as input a Kinesis video stream (Input), Amazon S3 bucket information // (Output), and an Amazon SNS topic ARN (NotificationChannel). You can also // provide a KMS key ID to encrypt the data sent to your Amazon S3 bucket. // You specify what you want to detect by using the ConnectedHome option // in settings, and selecting one of the following: PERSON, PET, PACKAGE, // ALL You can also specify where in the frame you want Amazon Rekognition // to monitor with RegionsOfInterest. When you run the StartStreamProcessor // operation on a label detection stream processor, you input start and stop // information to determine the length of the processing time. // // Use Name to assign an identifier for the stream processor. You use Name to // manage the stream processor. For example, you can start processing the source // video by calling StartStreamProcessor with the Name field. // // This operation requires permissions to perform the rekognition:CreateStreamProcessor // action. If you want to tag your stream processor, you also require permission // to perform the rekognition:TagResource operation. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ResourceInUseException // The specified resource is already being used. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. func (c Rekognition) CreateStreamProcessor(input CreateStreamProcessorInput) (CreateStreamProcessorOutput, error) { req, out := c.CreateStreamProcessorRequest(input) return out, req.Send() } // CreateStreamProcessorWithContext is the same as CreateStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See CreateStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateStreamProcessorWithContext(ctx aws.Context, input CreateStreamProcessorInput, opts ...request.Option) (CreateStreamProcessorOutput, error) { req, out := c.CreateStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opCreateUser = "CreateUser" // CreateUserRequest generates a "aws/request.Request" representing the // client's request for the CreateUser operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See CreateUser for more information on using the CreateUser // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the CreateUserRequest method. // req, resp := client.CreateUserRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) CreateUserRequest(input CreateUserInput) (req request.Request, output CreateUserOutput) { op := &request.Operation{ Name: opCreateUser, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &CreateUserInput{} } output = &CreateUserOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // CreateUser API operation for Amazon Rekognition. // // Creates a new User within a collection specified by CollectionId. Takes UserId // as a parameter, which is a user provided ID which should be unique within // the collection. The provided UserId will alias the system generated UUID // to make the UserId more user friendly. // // Uses a ClientToken, an idempotency token that ensures a call to CreateUser // completes only once. If the value is not supplied, the AWS SDK generates // an idempotency token for the requests. This prevents retries after a network // error results from making multiple CreateUser calls. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation CreateUser for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ConflictException // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. ** // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) CreateUser(input CreateUserInput) (CreateUserOutput, error) { req, out := c.CreateUserRequest(input) return out, req.Send() } // CreateUserWithContext is the same as CreateUser with the addition of // the ability to pass a context and additional request options. // // See CreateUser for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) CreateUserWithContext(ctx aws.Context, input CreateUserInput, opts ...request.Option) (CreateUserOutput, error) { req, out := c.CreateUserRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteCollection = "DeleteCollection" // DeleteCollectionRequest generates a "aws/request.Request" representing the // client's request for the DeleteCollection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteCollection for more information on using the DeleteCollection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteCollectionRequest method. // req, resp := client.DeleteCollectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteCollectionRequest(input DeleteCollectionInput) (req request.Request, output DeleteCollectionOutput) { op := &request.Operation{ Name: opDeleteCollection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteCollectionInput{} } output = &DeleteCollectionOutput{} req = c.newRequest(op, input, output) return } // DeleteCollection API operation for Amazon Rekognition. // // Deletes the specified collection. Note that this operation removes all faces // in the collection. For an example, see Deleting a collection (https://docs.aws.amazon.com/rekognition/latest/dg/delete-collection-procedure.html). // // This operation requires permissions to perform the rekognition:DeleteCollection // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteCollection for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) DeleteCollection(input DeleteCollectionInput) (DeleteCollectionOutput, error) { req, out := c.DeleteCollectionRequest(input) return out, req.Send() } // DeleteCollectionWithContext is the same as DeleteCollection with the addition of // the ability to pass a context and additional request options. // // See DeleteCollection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteCollectionWithContext(ctx aws.Context, input DeleteCollectionInput, opts ...request.Option) (DeleteCollectionOutput, error) { req, out := c.DeleteCollectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteDataset = "DeleteDataset" // DeleteDatasetRequest generates a "aws/request.Request" representing the // client's request for the DeleteDataset operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteDataset for more information on using the DeleteDataset // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteDatasetRequest method. // req, resp := client.DeleteDatasetRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteDatasetRequest(input DeleteDatasetInput) (req request.Request, output DeleteDatasetOutput) { op := &request.Operation{ Name: opDeleteDataset, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteDatasetInput{} } output = &DeleteDatasetOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // DeleteDataset API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Deletes an existing Amazon Rekognition Custom Labels dataset. Deleting a // dataset might take while. Use DescribeDataset to check the current status. // The dataset is still deleting if the value of Status is DELETE_IN_PROGRESS. // If you try to access the dataset after it is deleted, you get a ResourceNotFoundException // exception. // // You can't delete a dataset while it is creating (Status = CREATE_IN_PROGRESS) // or if the dataset is updating (Status = UPDATE_IN_PROGRESS). // // This operation requires permissions to perform the rekognition:DeleteDataset // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteDataset for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ResourceInUseException // The specified resource is already being used. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) DeleteDataset(input DeleteDatasetInput) (DeleteDatasetOutput, error) { req, out := c.DeleteDatasetRequest(input) return out, req.Send() } // DeleteDatasetWithContext is the same as DeleteDataset with the addition of // the ability to pass a context and additional request options. // // See DeleteDataset for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteDatasetWithContext(ctx aws.Context, input DeleteDatasetInput, opts ...request.Option) (DeleteDatasetOutput, error) { req, out := c.DeleteDatasetRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteFaces = "DeleteFaces" // DeleteFacesRequest generates a "aws/request.Request" representing the // client's request for the DeleteFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteFaces for more information on using the DeleteFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteFacesRequest method. // req, resp := client.DeleteFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteFacesRequest(input DeleteFacesInput) (req request.Request, output DeleteFacesOutput) { op := &request.Operation{ Name: opDeleteFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteFacesInput{} } output = &DeleteFacesOutput{} req = c.newRequest(op, input, output) return } // DeleteFaces API operation for Amazon Rekognition. // // Deletes faces from a collection. You specify a collection ID and an array // of face IDs to remove from the collection. // // This operation requires permissions to perform the rekognition:DeleteFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) DeleteFaces(input DeleteFacesInput) (DeleteFacesOutput, error) { req, out := c.DeleteFacesRequest(input) return out, req.Send() } // DeleteFacesWithContext is the same as DeleteFaces with the addition of // the ability to pass a context and additional request options. // // See DeleteFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteFacesWithContext(ctx aws.Context, input DeleteFacesInput, opts ...request.Option) (DeleteFacesOutput, error) { req, out := c.DeleteFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteProject = "DeleteProject" // DeleteProjectRequest generates a "aws/request.Request" representing the // client's request for the DeleteProject operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteProject for more information on using the DeleteProject // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteProjectRequest method. // req, resp := client.DeleteProjectRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteProjectRequest(input DeleteProjectInput) (req request.Request, output DeleteProjectOutput) { op := &request.Operation{ Name: opDeleteProject, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteProjectInput{} } output = &DeleteProjectOutput{} req = c.newRequest(op, input, output) return } // DeleteProject API operation for Amazon Rekognition. // // Deletes a Amazon Rekognition project. To delete a project you must first // delete all models or adapters associated with the project. To delete a model // or adapter, see DeleteProjectVersion. // // DeleteProject is an asynchronous operation. To check if the project is deleted, // call DescribeProjects. The project is deleted when the project no longer // appears in the response. Be aware that deleting a given project will also // delete any ProjectPolicies associated with that project. // // This operation requires permissions to perform the rekognition:DeleteProject // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteProject for usage and error information. // // Returned Error Types: // // - ResourceInUseException // The specified resource is already being used. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DeleteProject(input DeleteProjectInput) (DeleteProjectOutput, error) { req, out := c.DeleteProjectRequest(input) return out, req.Send() } // DeleteProjectWithContext is the same as DeleteProject with the addition of // the ability to pass a context and additional request options. // // See DeleteProject for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteProjectWithContext(ctx aws.Context, input DeleteProjectInput, opts ...request.Option) (DeleteProjectOutput, error) { req, out := c.DeleteProjectRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteProjectPolicy = "DeleteProjectPolicy" // DeleteProjectPolicyRequest generates a "aws/request.Request" representing the // client's request for the DeleteProjectPolicy operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteProjectPolicy for more information on using the DeleteProjectPolicy // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteProjectPolicyRequest method. // req, resp := client.DeleteProjectPolicyRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteProjectPolicyRequest(input DeleteProjectPolicyInput) (req request.Request, output DeleteProjectPolicyOutput) { op := &request.Operation{ Name: opDeleteProjectPolicy, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteProjectPolicyInput{} } output = &DeleteProjectPolicyOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // DeleteProjectPolicy API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Deletes an existing project policy. // // To get a list of project policies attached to a project, call ListProjectPolicies. // To attach a project policy to a project, call PutProjectPolicy. // // This operation requires permissions to perform the rekognition:DeleteProjectPolicy // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteProjectPolicy for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidPolicyRevisionIdException // The supplied revision id for the project policy is invalid. func (c Rekognition) DeleteProjectPolicy(input DeleteProjectPolicyInput) (DeleteProjectPolicyOutput, error) { req, out := c.DeleteProjectPolicyRequest(input) return out, req.Send() } // DeleteProjectPolicyWithContext is the same as DeleteProjectPolicy with the addition of // the ability to pass a context and additional request options. // // See DeleteProjectPolicy for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteProjectPolicyWithContext(ctx aws.Context, input DeleteProjectPolicyInput, opts ...request.Option) (DeleteProjectPolicyOutput, error) { req, out := c.DeleteProjectPolicyRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteProjectVersion = "DeleteProjectVersion" // DeleteProjectVersionRequest generates a "aws/request.Request" representing the // client's request for the DeleteProjectVersion operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteProjectVersion for more information on using the DeleteProjectVersion // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteProjectVersionRequest method. // req, resp := client.DeleteProjectVersionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteProjectVersionRequest(input DeleteProjectVersionInput) (req request.Request, output DeleteProjectVersionOutput) { op := &request.Operation{ Name: opDeleteProjectVersion, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteProjectVersionInput{} } output = &DeleteProjectVersionOutput{} req = c.newRequest(op, input, output) return } // DeleteProjectVersion API operation for Amazon Rekognition. // // Deletes a Rekognition project model or project version, like a Amazon Rekognition // Custom Labels model or a custom adapter. // // You can't delete a project version if it is running or if it is training. // To check the status of a project version, use the Status field returned from // DescribeProjectVersions. To stop a project version call StopProjectVersion. // If the project version is training, wait until it finishes. // // This operation requires permissions to perform the rekognition:DeleteProjectVersion // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteProjectVersion for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DeleteProjectVersion(input DeleteProjectVersionInput) (DeleteProjectVersionOutput, error) { req, out := c.DeleteProjectVersionRequest(input) return out, req.Send() } // DeleteProjectVersionWithContext is the same as DeleteProjectVersion with the addition of // the ability to pass a context and additional request options. // // See DeleteProjectVersion for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteProjectVersionWithContext(ctx aws.Context, input DeleteProjectVersionInput, opts ...request.Option) (DeleteProjectVersionOutput, error) { req, out := c.DeleteProjectVersionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteStreamProcessor = "DeleteStreamProcessor" // DeleteStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the DeleteStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteStreamProcessor for more information on using the DeleteStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteStreamProcessorRequest method. // req, resp := client.DeleteStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteStreamProcessorRequest(input DeleteStreamProcessorInput) (req request.Request, output DeleteStreamProcessorOutput) { op := &request.Operation{ Name: opDeleteStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteStreamProcessorInput{} } output = &DeleteStreamProcessorOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // DeleteStreamProcessor API operation for Amazon Rekognition. // // Deletes the stream processor identified by Name. You assign the value for // Name when you create the stream processor with CreateStreamProcessor. You // might not be able to use the same name for a stream processor for a few seconds // after calling DeleteStreamProcessor. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DeleteStreamProcessor(input DeleteStreamProcessorInput) (DeleteStreamProcessorOutput, error) { req, out := c.DeleteStreamProcessorRequest(input) return out, req.Send() } // DeleteStreamProcessorWithContext is the same as DeleteStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See DeleteStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteStreamProcessorWithContext(ctx aws.Context, input DeleteStreamProcessorInput, opts ...request.Option) (DeleteStreamProcessorOutput, error) { req, out := c.DeleteStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDeleteUser = "DeleteUser" // DeleteUserRequest generates a "aws/request.Request" representing the // client's request for the DeleteUser operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DeleteUser for more information on using the DeleteUser // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DeleteUserRequest method. // req, resp := client.DeleteUserRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DeleteUserRequest(input DeleteUserInput) (req request.Request, output DeleteUserOutput) { op := &request.Operation{ Name: opDeleteUser, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DeleteUserInput{} } output = &DeleteUserOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // DeleteUser API operation for Amazon Rekognition. // // Deletes the specified UserID within the collection. Faces that are associated // with the UserID are disassociated from the UserID before deleting the specified // UserID. If the specified Collection or UserID is already deleted or not found, // a ResourceNotFoundException will be thrown. If the action is successful with // a 200 response, an empty HTTP body is returned. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DeleteUser for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ConflictException // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. ** // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) DeleteUser(input DeleteUserInput) (DeleteUserOutput, error) { req, out := c.DeleteUserRequest(input) return out, req.Send() } // DeleteUserWithContext is the same as DeleteUser with the addition of // the ability to pass a context and additional request options. // // See DeleteUser for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DeleteUserWithContext(ctx aws.Context, input DeleteUserInput, opts ...request.Option) (DeleteUserOutput, error) { req, out := c.DeleteUserRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDescribeCollection = "DescribeCollection" // DescribeCollectionRequest generates a "aws/request.Request" representing the // client's request for the DescribeCollection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DescribeCollection for more information on using the DescribeCollection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DescribeCollectionRequest method. // req, resp := client.DescribeCollectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DescribeCollectionRequest(input DescribeCollectionInput) (req request.Request, output DescribeCollectionOutput) { op := &request.Operation{ Name: opDescribeCollection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DescribeCollectionInput{} } output = &DescribeCollectionOutput{} req = c.newRequest(op, input, output) return } // DescribeCollection API operation for Amazon Rekognition. // // Describes the specified collection. You can use DescribeCollection to get // information, such as the number of faces indexed into a collection and the // version of the model used by the collection for face detection. // // For more information, see Describing a Collection in the Amazon Rekognition // Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DescribeCollection for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) DescribeCollection(input DescribeCollectionInput) (DescribeCollectionOutput, error) { req, out := c.DescribeCollectionRequest(input) return out, req.Send() } // DescribeCollectionWithContext is the same as DescribeCollection with the addition of // the ability to pass a context and additional request options. // // See DescribeCollection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeCollectionWithContext(ctx aws.Context, input DescribeCollectionInput, opts ...request.Option) (DescribeCollectionOutput, error) { req, out := c.DescribeCollectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDescribeDataset = "DescribeDataset" // DescribeDatasetRequest generates a "aws/request.Request" representing the // client's request for the DescribeDataset operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DescribeDataset for more information on using the DescribeDataset // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DescribeDatasetRequest method. // req, resp := client.DescribeDatasetRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DescribeDatasetRequest(input DescribeDatasetInput) (req request.Request, output DescribeDatasetOutput) { op := &request.Operation{ Name: opDescribeDataset, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DescribeDatasetInput{} } output = &DescribeDatasetOutput{} req = c.newRequest(op, input, output) return } // DescribeDataset API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Describes an Amazon Rekognition Custom Labels dataset. You can get information // such as the current status of a dataset and statistics about the images and // labels in a dataset. // // This operation requires permissions to perform the rekognition:DescribeDataset // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DescribeDataset for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) DescribeDataset(input DescribeDatasetInput) (DescribeDatasetOutput, error) { req, out := c.DescribeDatasetRequest(input) return out, req.Send() } // DescribeDatasetWithContext is the same as DescribeDataset with the addition of // the ability to pass a context and additional request options. // // See DescribeDataset for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeDatasetWithContext(ctx aws.Context, input DescribeDatasetInput, opts ...request.Option) (DescribeDatasetOutput, error) { req, out := c.DescribeDatasetRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDescribeProjectVersions = "DescribeProjectVersions" // DescribeProjectVersionsRequest generates a "aws/request.Request" representing the // client's request for the DescribeProjectVersions operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DescribeProjectVersions for more information on using the DescribeProjectVersions // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DescribeProjectVersionsRequest method. // req, resp := client.DescribeProjectVersionsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DescribeProjectVersionsRequest(input DescribeProjectVersionsInput) (req request.Request, output DescribeProjectVersionsOutput) { op := &request.Operation{ Name: opDescribeProjectVersions, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &DescribeProjectVersionsInput{} } output = &DescribeProjectVersionsOutput{} req = c.newRequest(op, input, output) return } // DescribeProjectVersions API operation for Amazon Rekognition. // // Lists and describes the versions of an Amazon Rekognition project. You can // specify up to 10 model or adapter versions in ProjectVersionArns. If you // don't specify a value, descriptions for all model/adapter versions in the // project are returned. // // This operation requires permissions to perform the rekognition:DescribeProjectVersions // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DescribeProjectVersions for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DescribeProjectVersions(input DescribeProjectVersionsInput) (DescribeProjectVersionsOutput, error) { req, out := c.DescribeProjectVersionsRequest(input) return out, req.Send() } // DescribeProjectVersionsWithContext is the same as DescribeProjectVersions with the addition of // the ability to pass a context and additional request options. // // See DescribeProjectVersions for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeProjectVersionsWithContext(ctx aws.Context, input DescribeProjectVersionsInput, opts ...request.Option) (DescribeProjectVersionsOutput, error) { req, out := c.DescribeProjectVersionsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // DescribeProjectVersionsPages iterates over the pages of a DescribeProjectVersions operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See DescribeProjectVersions method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a DescribeProjectVersions operation. // pageNum := 0 // err := client.DescribeProjectVersionsPages(params, // func(page rekognition.DescribeProjectVersionsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) DescribeProjectVersionsPages(input DescribeProjectVersionsInput, fn func(DescribeProjectVersionsOutput, bool) bool) error { return c.DescribeProjectVersionsPagesWithContext(aws.BackgroundContext(), input, fn) } // DescribeProjectVersionsPagesWithContext same as DescribeProjectVersionsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeProjectVersionsPagesWithContext(ctx aws.Context, input DescribeProjectVersionsInput, fn func(DescribeProjectVersionsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy DescribeProjectVersionsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.DescribeProjectVersionsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(DescribeProjectVersionsOutput), !p.HasNextPage()) { break } } return p.Err() } const opDescribeProjects = "DescribeProjects" // DescribeProjectsRequest generates a "aws/request.Request" representing the // client's request for the DescribeProjects operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DescribeProjects for more information on using the DescribeProjects // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DescribeProjectsRequest method. // req, resp := client.DescribeProjectsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DescribeProjectsRequest(input DescribeProjectsInput) (req request.Request, output DescribeProjectsOutput) { op := &request.Operation{ Name: opDescribeProjects, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &DescribeProjectsInput{} } output = &DescribeProjectsOutput{} req = c.newRequest(op, input, output) return } // DescribeProjects API operation for Amazon Rekognition. // // Gets information about your Rekognition projects. // // This operation requires permissions to perform the rekognition:DescribeProjects // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DescribeProjects for usage and error information. // // Returned Error Types: // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DescribeProjects(input DescribeProjectsInput) (DescribeProjectsOutput, error) { req, out := c.DescribeProjectsRequest(input) return out, req.Send() } // DescribeProjectsWithContext is the same as DescribeProjects with the addition of // the ability to pass a context and additional request options. // // See DescribeProjects for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeProjectsWithContext(ctx aws.Context, input DescribeProjectsInput, opts ...request.Option) (DescribeProjectsOutput, error) { req, out := c.DescribeProjectsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // DescribeProjectsPages iterates over the pages of a DescribeProjects operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See DescribeProjects method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a DescribeProjects operation. // pageNum := 0 // err := client.DescribeProjectsPages(params, // func(page rekognition.DescribeProjectsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) DescribeProjectsPages(input DescribeProjectsInput, fn func(DescribeProjectsOutput, bool) bool) error { return c.DescribeProjectsPagesWithContext(aws.BackgroundContext(), input, fn) } // DescribeProjectsPagesWithContext same as DescribeProjectsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeProjectsPagesWithContext(ctx aws.Context, input DescribeProjectsInput, fn func(DescribeProjectsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy DescribeProjectsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.DescribeProjectsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(DescribeProjectsOutput), !p.HasNextPage()) { break } } return p.Err() } const opDescribeStreamProcessor = "DescribeStreamProcessor" // DescribeStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the DescribeStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DescribeStreamProcessor for more information on using the DescribeStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DescribeStreamProcessorRequest method. // req, resp := client.DescribeStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DescribeStreamProcessorRequest(input DescribeStreamProcessorInput) (req request.Request, output DescribeStreamProcessorOutput) { op := &request.Operation{ Name: opDescribeStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DescribeStreamProcessorInput{} } output = &DescribeStreamProcessorOutput{} req = c.newRequest(op, input, output) return } // DescribeStreamProcessor API operation for Amazon Rekognition. // // Provides information about a stream processor created by CreateStreamProcessor. // You can get information about the input and output streams, the input parameters // for the face recognition being performed, and the current status of the stream // processor. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DescribeStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) DescribeStreamProcessor(input DescribeStreamProcessorInput) (DescribeStreamProcessorOutput, error) { req, out := c.DescribeStreamProcessorRequest(input) return out, req.Send() } // DescribeStreamProcessorWithContext is the same as DescribeStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See DescribeStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DescribeStreamProcessorWithContext(ctx aws.Context, input DescribeStreamProcessorInput, opts ...request.Option) (DescribeStreamProcessorOutput, error) { req, out := c.DescribeStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectCustomLabels = "DetectCustomLabels" // DetectCustomLabelsRequest generates a "aws/request.Request" representing the // client's request for the DetectCustomLabels operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectCustomLabels for more information on using the DetectCustomLabels // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectCustomLabelsRequest method. // req, resp := client.DetectCustomLabelsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectCustomLabelsRequest(input DetectCustomLabelsInput) (req request.Request, output DetectCustomLabelsOutput) { op := &request.Operation{ Name: opDetectCustomLabels, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectCustomLabelsInput{} } output = &DetectCustomLabelsOutput{} req = c.newRequest(op, input, output) return } // DetectCustomLabels API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Detects custom labels in a supplied image by using an Amazon Rekognition // Custom Labels model. // // You specify which version of a model version to use by using the ProjectVersionArn // input parameter. // // You pass the input image as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // For each object that the model version detects on an image, the API returns // a (CustomLabel) object in an array (CustomLabels). Each CustomLabel object // provides the label name (Name), the level of confidence that the image contains // the object (Confidence), and object location information, if it exists, for // the label on the image (Geometry). Note that for the DetectCustomLabelsLabels // operation, Polygons are not returned in the Geometry section of the response. // // To filter labels that are returned, specify a value for MinConfidence. DetectCustomLabelsLabels // only returns labels with a confidence that's higher than the specified value. // The value of MinConfidence maps to the assumed threshold values created during // training. For more information, see Assumed threshold in the Amazon Rekognition // Custom Labels Developer Guide. Amazon Rekognition Custom Labels metrics expresses // an assumed threshold as a floating point value between 0-1. The range of // MinConfidence normalizes the threshold value to a percentage value (0-100). // Confidence responses from DetectCustomLabels are also returned as a percentage. // You can use MinConfidence to change the precision and recall or your model. // For more information, see Analyzing an image in the Amazon Rekognition Custom // Labels Developer Guide. // // If you don't specify a value for MinConfidence, DetectCustomLabels returns // labels based on the assumed threshold of each label. // // This is a stateless API operation. That is, the operation does not persist // any data. // // This operation requires permissions to perform the rekognition:DetectCustomLabels // action. // // For more information, see Analyzing an image in the Amazon Rekognition Custom // Labels Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectCustomLabels for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) DetectCustomLabels(input DetectCustomLabelsInput) (DetectCustomLabelsOutput, error) { req, out := c.DetectCustomLabelsRequest(input) return out, req.Send() } // DetectCustomLabelsWithContext is the same as DetectCustomLabels with the addition of // the ability to pass a context and additional request options. // // See DetectCustomLabels for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectCustomLabelsWithContext(ctx aws.Context, input DetectCustomLabelsInput, opts ...request.Option) (DetectCustomLabelsOutput, error) { req, out := c.DetectCustomLabelsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectFaces = "DetectFaces" // DetectFacesRequest generates a "aws/request.Request" representing the // client's request for the DetectFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectFaces for more information on using the DetectFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectFacesRequest method. // req, resp := client.DetectFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectFacesRequest(input DetectFacesInput) (req request.Request, output DetectFacesOutput) { op := &request.Operation{ Name: opDetectFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectFacesInput{} } output = &DetectFacesOutput{} req = c.newRequest(op, input, output) return } // DetectFaces API operation for Amazon Rekognition. // // Detects faces within an image that is provided as input. // // DetectFaces detects the 100 largest faces in the image. For each face detected, // the operation returns face details. These details include a bounding box // of the face, a confidence value (that the bounding box contains a face), // and a fixed set of attributes such as facial landmarks (for example, coordinates // of eye and mouth), pose, presence of facial occlusion, and so on. // // The face-detection algorithm is most effective on frontal faces. For non-frontal // or obscured faces, the algorithm might not detect the faces or might detect // faces with lower confidence. // // You pass the input image either as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // This is a stateless API operation. That is, the operation does not persist // any data. // // This operation requires permissions to perform the rekognition:DetectFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectFaces for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) DetectFaces(input DetectFacesInput) (DetectFacesOutput, error) { req, out := c.DetectFacesRequest(input) return out, req.Send() } // DetectFacesWithContext is the same as DetectFaces with the addition of // the ability to pass a context and additional request options. // // See DetectFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectFacesWithContext(ctx aws.Context, input DetectFacesInput, opts ...request.Option) (DetectFacesOutput, error) { req, out := c.DetectFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectLabels = "DetectLabels" // DetectLabelsRequest generates a "aws/request.Request" representing the // client's request for the DetectLabels operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectLabels for more information on using the DetectLabels // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectLabelsRequest method. // req, resp := client.DetectLabelsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectLabelsRequest(input DetectLabelsInput) (req request.Request, output DetectLabelsOutput) { op := &request.Operation{ Name: opDetectLabels, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectLabelsInput{} } output = &DetectLabelsOutput{} req = c.newRequest(op, input, output) return } // DetectLabels API operation for Amazon Rekognition. // // Detects instances of real-world entities within an image (JPEG or PNG) provided // as input. This includes objects like flower, tree, and table; events like // wedding, graduation, and birthday party; and concepts like landscape, evening, // and nature. // // For an example, see Analyzing images stored in an Amazon S3 bucket in the // Amazon Rekognition Developer Guide. // // You pass the input image as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // # Optional Parameters // // You can specify one or both of the GENERAL_LABELS and IMAGE_PROPERTIES feature // types when calling the DetectLabels API. Including GENERAL_LABELS will ensure // the response includes the labels detected in the input image, while including // IMAGE_PROPERTIES will ensure the response includes information about the // image quality and color. // // When using GENERAL_LABELS and/or IMAGE_PROPERTIES you can provide filtering // criteria to the Settings parameter. You can filter with sets of individual // labels or with label categories. You can specify inclusive filters, exclusive // filters, or a combination of inclusive and exclusive filters. For more information // on filtering see Detecting Labels in an Image (https://docs.aws.amazon.com/rekognition/latest/dg/labels-detect-labels-image.html). // // When getting labels, you can specify MinConfidence to control the confidence // threshold for the labels returned. The default is 55%. You can also add the // MaxLabels parameter to limit the number of labels returned. The default and // upper limit is 1000 labels. These arguments are only valid when supplying // GENERAL_LABELS as a feature type. // // # Response Elements // // For each object, scene, and concept the API returns one or more labels. The // API returns the following types of information about labels: // // - Name - The name of the detected label. // // - Confidence - The level of confidence in the label assigned to a detected // object. // // - Parents - The ancestor labels for a detected label. DetectLabels returns // a hierarchical taxonomy of detected labels. For example, a detected car // might be assigned the label car. The label car has two parent labels: // Vehicle (its parent) and Transportation (its grandparent). The response // includes the all ancestors for a label, where every ancestor is a unique // label. In the previous example, Car, Vehicle, and Transportation are returned // as unique labels in the response. // // - Aliases - Possible Aliases for the label. // // - Categories - The label categories that the detected label belongs to. // // - BoundingBox — Bounding boxes are described for all instances of detected // common object labels, returned in an array of Instance objects. An Instance // object contains a BoundingBox object, describing the location of the label // on the input image. It also includes the confidence for the accuracy of // the detected bounding box. // // The API returns the following information regarding the image, as part of // the ImageProperties structure: // // - Quality - Information about the Sharpness, Brightness, and Contrast // of the input image, scored between 0 to 100. Image quality is returned // for the entire image, as well as the background and the foreground. // // - Dominant Color - An array of the dominant colors in the image. // // - Foreground - Information about the sharpness, brightness, and dominant // colors of the input image’s foreground. // // - Background - Information about the sharpness, brightness, and dominant // colors of the input image’s background. // // The list of returned labels will include at least one label for every detected // object, along with information about that label. In the following example, // suppose the input image has a lighthouse, the sea, and a rock. The response // includes all three labels, one for each object, as well as the confidence // in the label: // // {Name: lighthouse, Confidence: 98.4629} // // {Name: rock,Confidence: 79.2097} // // {Name: sea,Confidence: 75.061} // // The list of labels can include multiple labels for the same object. For example, // if the input image shows a flower (for example, a tulip), the operation might // return the following three labels. // // {Name: flower,Confidence: 99.0562} // // {Name: plant,Confidence: 99.0562} // // {Name: tulip,Confidence: 99.0562} // // In this example, the detection algorithm more precisely identifies the flower // as a tulip. // // If the object detected is a person, the operation doesn't provide the same // facial details that the DetectFaces operation provides. // // This is a stateless API operation that doesn't return any data. // // This operation requires permissions to perform the rekognition:DetectLabels // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectLabels for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) DetectLabels(input DetectLabelsInput) (DetectLabelsOutput, error) { req, out := c.DetectLabelsRequest(input) return out, req.Send() } // DetectLabelsWithContext is the same as DetectLabels with the addition of // the ability to pass a context and additional request options. // // See DetectLabels for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectLabelsWithContext(ctx aws.Context, input DetectLabelsInput, opts ...request.Option) (DetectLabelsOutput, error) { req, out := c.DetectLabelsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectModerationLabels = "DetectModerationLabels" // DetectModerationLabelsRequest generates a "aws/request.Request" representing the // client's request for the DetectModerationLabels operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectModerationLabels for more information on using the DetectModerationLabels // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectModerationLabelsRequest method. // req, resp := client.DetectModerationLabelsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectModerationLabelsRequest(input DetectModerationLabelsInput) (req request.Request, output DetectModerationLabelsOutput) { op := &request.Operation{ Name: opDetectModerationLabels, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectModerationLabelsInput{} } output = &DetectModerationLabelsOutput{} req = c.newRequest(op, input, output) return } // DetectModerationLabels API operation for Amazon Rekognition. // // Detects unsafe content in a specified JPEG or PNG format image. Use DetectModerationLabels // to moderate images depending on your requirements. For example, you might // want to filter images that contain nudity, but not images containing suggestive // content. // // To filter images, use the labels returned by DetectModerationLabels to determine // which types of content are appropriate. // // For information about moderation labels, see Detecting Unsafe Content in // the Amazon Rekognition Developer Guide. // // You pass the input image either as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // You can specify an adapter to use when retrieving label predictions by providing // a ProjectVersionArn to the ProjectVersion argument. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectModerationLabels for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. // // - HumanLoopQuotaExceededException // The number of in-progress human reviews you have has exceeded the number // allowed. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. func (c Rekognition) DetectModerationLabels(input DetectModerationLabelsInput) (DetectModerationLabelsOutput, error) { req, out := c.DetectModerationLabelsRequest(input) return out, req.Send() } // DetectModerationLabelsWithContext is the same as DetectModerationLabels with the addition of // the ability to pass a context and additional request options. // // See DetectModerationLabels for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectModerationLabelsWithContext(ctx aws.Context, input DetectModerationLabelsInput, opts ...request.Option) (DetectModerationLabelsOutput, error) { req, out := c.DetectModerationLabelsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectProtectiveEquipment = "DetectProtectiveEquipment" // DetectProtectiveEquipmentRequest generates a "aws/request.Request" representing the // client's request for the DetectProtectiveEquipment operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectProtectiveEquipment for more information on using the DetectProtectiveEquipment // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectProtectiveEquipmentRequest method. // req, resp := client.DetectProtectiveEquipmentRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectProtectiveEquipmentRequest(input DetectProtectiveEquipmentInput) (req request.Request, output DetectProtectiveEquipmentOutput) { op := &request.Operation{ Name: opDetectProtectiveEquipment, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectProtectiveEquipmentInput{} } output = &DetectProtectiveEquipmentOutput{} req = c.newRequest(op, input, output) return } // DetectProtectiveEquipment API operation for Amazon Rekognition. // // Detects Personal Protective Equipment (PPE) worn by people detected in an // image. Amazon Rekognition can detect the following types of PPE. // // - Face cover // // - Hand cover // // - Head cover // // You pass the input image as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. The image must be either a PNG or JPG // formatted file. // // DetectProtectiveEquipment detects PPE worn by up to 15 persons detected in // an image. // // For each person detected in the image the API returns an array of body parts // (face, head, left-hand, right-hand). For each body part, an array of detected // items of PPE is returned, including an indicator of whether or not the PPE // covers the body part. The API returns the confidence it has in each detection // (person, PPE, body part and body part coverage). It also returns a bounding // box (BoundingBox) for each detected person and each detected item of PPE. // // You can optionally request a summary of detected PPE items with the SummarizationAttributes // input parameter. The summary provides the following information. // // - The persons detected as wearing all of the types of PPE that you specify. // // - The persons detected as not wearing all of the types PPE that you specify. // // - The persons detected where PPE adornment could not be determined. // // This is a stateless API operation. That is, the operation does not persist // any data. // // This operation requires permissions to perform the rekognition:DetectProtectiveEquipment // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectProtectiveEquipment for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) DetectProtectiveEquipment(input DetectProtectiveEquipmentInput) (DetectProtectiveEquipmentOutput, error) { req, out := c.DetectProtectiveEquipmentRequest(input) return out, req.Send() } // DetectProtectiveEquipmentWithContext is the same as DetectProtectiveEquipment with the addition of // the ability to pass a context and additional request options. // // See DetectProtectiveEquipment for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectProtectiveEquipmentWithContext(ctx aws.Context, input DetectProtectiveEquipmentInput, opts ...request.Option) (DetectProtectiveEquipmentOutput, error) { req, out := c.DetectProtectiveEquipmentRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDetectText = "DetectText" // DetectTextRequest generates a "aws/request.Request" representing the // client's request for the DetectText operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DetectText for more information on using the DetectText // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DetectTextRequest method. // req, resp := client.DetectTextRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DetectTextRequest(input DetectTextInput) (req request.Request, output DetectTextOutput) { op := &request.Operation{ Name: opDetectText, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DetectTextInput{} } output = &DetectTextOutput{} req = c.newRequest(op, input, output) return } // DetectText API operation for Amazon Rekognition. // // Detects text in the input image and converts it into machine-readable text. // // Pass the input image as base64-encoded image bytes or as a reference to an // image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition // operations, you must pass it as a reference to an image in an Amazon S3 bucket. // For the AWS CLI, passing image bytes is not supported. The image must be // either a .png or .jpeg formatted file. // // The DetectText operation returns text in an array of TextDetection elements, // TextDetections. Each TextDetection element provides information about a single // word or line of text that was detected in the image. // // A word is one or more script characters that are not separated by spaces. // DetectText can detect up to 100 words in an image. // // A line is a string of equally spaced words. A line isn't necessarily a complete // sentence. For example, a driver's license number is detected as a line. A // line ends when there is no aligned text after it. Also, a line ends when // there is a large gap between words, relative to the length of the words. // This means, depending on the gap between words, Amazon Rekognition may detect // multiple lines in text aligned in the same direction. Periods don't represent // the end of a line. If a sentence spans multiple lines, the DetectText operation // returns multiple lines. // // To determine whether a TextDetection element is a line of text or a word, // use the TextDetection object Type field. // // To be detected, text must be within +/- 90 degrees orientation of the horizontal // axis. // // For more information, see Detecting text in the Amazon Rekognition Developer // Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DetectText for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) DetectText(input DetectTextInput) (DetectTextOutput, error) { req, out := c.DetectTextRequest(input) return out, req.Send() } // DetectTextWithContext is the same as DetectText with the addition of // the ability to pass a context and additional request options. // // See DetectText for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DetectTextWithContext(ctx aws.Context, input DetectTextInput, opts ...request.Option) (DetectTextOutput, error) { req, out := c.DetectTextRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDisassociateFaces = "DisassociateFaces" // DisassociateFacesRequest generates a "aws/request.Request" representing the // client's request for the DisassociateFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DisassociateFaces for more information on using the DisassociateFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DisassociateFacesRequest method. // req, resp := client.DisassociateFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DisassociateFacesRequest(input DisassociateFacesInput) (req request.Request, output DisassociateFacesOutput) { op := &request.Operation{ Name: opDisassociateFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DisassociateFacesInput{} } output = &DisassociateFacesOutput{} req = c.newRequest(op, input, output) return } // DisassociateFaces API operation for Amazon Rekognition. // // Removes the association between a Face supplied in an array of FaceIds and // the User. If the User is not present already, then a ResourceNotFound exception // is thrown. If successful, an array of faces that are disassociated from the // User is returned. If a given face is already disassociated from the given // UserID, it will be ignored and not be returned in the response. If a given // face is already associated with a different User or not found in the collection // it will be returned as part of UnsuccessfulDisassociations. You can remove // 1 - 100 face IDs from a user at one time. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DisassociateFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ConflictException // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. ** func (c Rekognition) DisassociateFaces(input DisassociateFacesInput) (DisassociateFacesOutput, error) { req, out := c.DisassociateFacesRequest(input) return out, req.Send() } // DisassociateFacesWithContext is the same as DisassociateFaces with the addition of // the ability to pass a context and additional request options. // // See DisassociateFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DisassociateFacesWithContext(ctx aws.Context, input DisassociateFacesInput, opts ...request.Option) (DisassociateFacesOutput, error) { req, out := c.DisassociateFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opDistributeDatasetEntries = "DistributeDatasetEntries" // DistributeDatasetEntriesRequest generates a "aws/request.Request" representing the // client's request for the DistributeDatasetEntries operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See DistributeDatasetEntries for more information on using the DistributeDatasetEntries // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the DistributeDatasetEntriesRequest method. // req, resp := client.DistributeDatasetEntriesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) DistributeDatasetEntriesRequest(input DistributeDatasetEntriesInput) (req request.Request, output DistributeDatasetEntriesOutput) { op := &request.Operation{ Name: opDistributeDatasetEntries, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &DistributeDatasetEntriesInput{} } output = &DistributeDatasetEntriesOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // DistributeDatasetEntries API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Distributes the entries (images) in a training dataset across the training // dataset and the test dataset for a project. DistributeDatasetEntries moves // 20% of the training dataset images to the test dataset. An entry is a JSON // Line that describes an image. // // You supply the Amazon Resource Names (ARN) of a project's training dataset // and test dataset. The training dataset must contain the images that you want // to split. The test dataset must be empty. The datasets must belong to the // same project. To create training and test datasets for a project, call CreateDataset. // // Distributing a dataset takes a while to complete. To check the status call // DescribeDataset. The operation is complete when the Status field for the // training dataset and the test dataset is UPDATE_COMPLETE. If the dataset // split fails, the value of Status is UPDATE_FAILED. // // This operation requires permissions to perform the rekognition:DistributeDatasetEntries // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation DistributeDatasetEntries for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. func (c Rekognition) DistributeDatasetEntries(input DistributeDatasetEntriesInput) (DistributeDatasetEntriesOutput, error) { req, out := c.DistributeDatasetEntriesRequest(input) return out, req.Send() } // DistributeDatasetEntriesWithContext is the same as DistributeDatasetEntries with the addition of // the ability to pass a context and additional request options. // // See DistributeDatasetEntries for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) DistributeDatasetEntriesWithContext(ctx aws.Context, input DistributeDatasetEntriesInput, opts ...request.Option) (DistributeDatasetEntriesOutput, error) { req, out := c.DistributeDatasetEntriesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opGetCelebrityInfo = "GetCelebrityInfo" // GetCelebrityInfoRequest generates a "aws/request.Request" representing the // client's request for the GetCelebrityInfo operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetCelebrityInfo for more information on using the GetCelebrityInfo // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetCelebrityInfoRequest method. // req, resp := client.GetCelebrityInfoRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetCelebrityInfoRequest(input GetCelebrityInfoInput) (req request.Request, output GetCelebrityInfoOutput) { op := &request.Operation{ Name: opGetCelebrityInfo, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &GetCelebrityInfoInput{} } output = &GetCelebrityInfoOutput{} req = c.newRequest(op, input, output) return } // GetCelebrityInfo API operation for Amazon Rekognition. // // Gets the name and additional information about a celebrity based on their // Amazon Rekognition ID. The additional information is returned as an array // of URLs. If there is no additional information about the celebrity, this // list is empty. // // For more information, see Getting information about a celebrity in the Amazon // Rekognition Developer Guide. // // This operation requires permissions to perform the rekognition:GetCelebrityInfo // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetCelebrityInfo for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) GetCelebrityInfo(input GetCelebrityInfoInput) (GetCelebrityInfoOutput, error) { req, out := c.GetCelebrityInfoRequest(input) return out, req.Send() } // GetCelebrityInfoWithContext is the same as GetCelebrityInfo with the addition of // the ability to pass a context and additional request options. // // See GetCelebrityInfo for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetCelebrityInfoWithContext(ctx aws.Context, input GetCelebrityInfoInput, opts ...request.Option) (GetCelebrityInfoOutput, error) { req, out := c.GetCelebrityInfoRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opGetCelebrityRecognition = "GetCelebrityRecognition" // GetCelebrityRecognitionRequest generates a "aws/request.Request" representing the // client's request for the GetCelebrityRecognition operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetCelebrityRecognition for more information on using the GetCelebrityRecognition // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetCelebrityRecognitionRequest method. // req, resp := client.GetCelebrityRecognitionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetCelebrityRecognitionRequest(input GetCelebrityRecognitionInput) (req request.Request, output GetCelebrityRecognitionOutput) { op := &request.Operation{ Name: opGetCelebrityRecognition, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetCelebrityRecognitionInput{} } output = &GetCelebrityRecognitionOutput{} req = c.newRequest(op, input, output) return } // GetCelebrityRecognition API operation for Amazon Rekognition. // // Gets the celebrity recognition results for a Amazon Rekognition Video analysis // started by StartCelebrityRecognition. // // Celebrity recognition in a video is an asynchronous operation. Analysis is // started by a call to StartCelebrityRecognition which returns a job identifier // (JobId). // // When the celebrity recognition operation finishes, Amazon Rekognition Video // publishes a completion status to the Amazon Simple Notification Service topic // registered in the initial call to StartCelebrityRecognition. To get the results // of the celebrity recognition analysis, first check that the status value // published to the Amazon SNS topic is SUCCEEDED. If so, call GetCelebrityDetection // and pass the job identifier (JobId) from the initial call to StartCelebrityDetection. // // For more information, see Working With Stored Videos in the Amazon Rekognition // Developer Guide. // // GetCelebrityRecognition returns detected celebrities and the time(s) they // are detected in an array (Celebrities) of CelebrityRecognition objects. Each // CelebrityRecognition contains information about the celebrity in a CelebrityDetail // object and the time, Timestamp, the celebrity was detected. This CelebrityDetail // object stores information about the detected celebrity's face attributes, // a face bounding box, known gender, the celebrity's name, and a confidence // estimate. // // GetCelebrityRecognition only returns the default facial attributes (BoundingBox, // Confidence, Landmarks, Pose, and Quality). The BoundingBox field only applies // to the detected face instance. The other facial attributes listed in the // Face object of the following response syntax are not returned. For more information, // see FaceDetail in the Amazon Rekognition Developer Guide. // // By default, the Celebrities array is sorted by time (milliseconds from the // start of the video). You can also sort the array by celebrity by specifying // the value ID in the SortBy input parameter. // // The CelebrityDetail object includes the celebrity identifer and additional // information urls. If you don't store the additional information urls, you // can get them later by calling GetCelebrityInfo with the celebrity identifer. // // No information is returned for faces not recognized as celebrities. // // Use MaxResults parameter to limit the number of labels returned. If there // are more results than specified in MaxResults, the value of NextToken in // the operation response contains a pagination token for getting the next set // of results. To get the next page of results, call GetCelebrityDetection and // populate the NextToken request parameter with the token value returned from // the previous call to GetCelebrityRecognition. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetCelebrityRecognition for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetCelebrityRecognition(input GetCelebrityRecognitionInput) (GetCelebrityRecognitionOutput, error) { req, out := c.GetCelebrityRecognitionRequest(input) return out, req.Send() } // GetCelebrityRecognitionWithContext is the same as GetCelebrityRecognition with the addition of // the ability to pass a context and additional request options. // // See GetCelebrityRecognition for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetCelebrityRecognitionWithContext(ctx aws.Context, input GetCelebrityRecognitionInput, opts ...request.Option) (GetCelebrityRecognitionOutput, error) { req, out := c.GetCelebrityRecognitionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetCelebrityRecognitionPages iterates over the pages of a GetCelebrityRecognition operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetCelebrityRecognition method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetCelebrityRecognition operation. // pageNum := 0 // err := client.GetCelebrityRecognitionPages(params, // func(page rekognition.GetCelebrityRecognitionOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetCelebrityRecognitionPages(input GetCelebrityRecognitionInput, fn func(GetCelebrityRecognitionOutput, bool) bool) error { return c.GetCelebrityRecognitionPagesWithContext(aws.BackgroundContext(), input, fn) } // GetCelebrityRecognitionPagesWithContext same as GetCelebrityRecognitionPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetCelebrityRecognitionPagesWithContext(ctx aws.Context, input GetCelebrityRecognitionInput, fn func(GetCelebrityRecognitionOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetCelebrityRecognitionInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetCelebrityRecognitionRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetCelebrityRecognitionOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetContentModeration = "GetContentModeration" // GetContentModerationRequest generates a "aws/request.Request" representing the // client's request for the GetContentModeration operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetContentModeration for more information on using the GetContentModeration // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetContentModerationRequest method. // req, resp := client.GetContentModerationRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetContentModerationRequest(input GetContentModerationInput) (req request.Request, output GetContentModerationOutput) { op := &request.Operation{ Name: opGetContentModeration, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetContentModerationInput{} } output = &GetContentModerationOutput{} req = c.newRequest(op, input, output) return } // GetContentModeration API operation for Amazon Rekognition. // // Gets the inappropriate, unwanted, or offensive content analysis results for // a Amazon Rekognition Video analysis started by StartContentModeration. For // a list of moderation labels in Amazon Rekognition, see Using the image and // video moderation APIs (https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api). // // Amazon Rekognition Video inappropriate or offensive content detection in // a stored video is an asynchronous operation. You start analysis by calling // StartContentModeration which returns a job identifier (JobId). When analysis // finishes, Amazon Rekognition Video publishes a completion status to the Amazon // Simple Notification Service topic registered in the initial call to StartContentModeration. // To get the results of the content analysis, first check that the status value // published to the Amazon SNS topic is SUCCEEDED. If so, call GetContentModeration // and pass the job identifier (JobId) from the initial call to StartContentModeration. // // For more information, see Working with Stored Videos in the Amazon Rekognition // Devlopers Guide. // // GetContentModeration returns detected inappropriate, unwanted, or offensive // content moderation labels, and the time they are detected, in an array, ModerationLabels, // of ContentModerationDetection objects. // // By default, the moderated labels are returned sorted by time, in milliseconds // from the start of the video. You can also sort them by moderated label by // specifying NAME for the SortBy input parameter. // // Since video analysis can return a large number of results, use the MaxResults // parameter to limit the number of labels returned in a single call to GetContentModeration. // If there are more results than specified in MaxResults, the value of NextToken // in the operation response contains a pagination token for getting the next // set of results. To get the next page of results, call GetContentModeration // and populate the NextToken request parameter with the value of NextToken // returned from the previous call to GetContentModeration. // // For more information, see moderating content in the Amazon Rekognition Developer // Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetContentModeration for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetContentModeration(input GetContentModerationInput) (GetContentModerationOutput, error) { req, out := c.GetContentModerationRequest(input) return out, req.Send() } // GetContentModerationWithContext is the same as GetContentModeration with the addition of // the ability to pass a context and additional request options. // // See GetContentModeration for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetContentModerationWithContext(ctx aws.Context, input GetContentModerationInput, opts ...request.Option) (GetContentModerationOutput, error) { req, out := c.GetContentModerationRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetContentModerationPages iterates over the pages of a GetContentModeration operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetContentModeration method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetContentModeration operation. // pageNum := 0 // err := client.GetContentModerationPages(params, // func(page rekognition.GetContentModerationOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetContentModerationPages(input GetContentModerationInput, fn func(GetContentModerationOutput, bool) bool) error { return c.GetContentModerationPagesWithContext(aws.BackgroundContext(), input, fn) } // GetContentModerationPagesWithContext same as GetContentModerationPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetContentModerationPagesWithContext(ctx aws.Context, input GetContentModerationInput, fn func(GetContentModerationOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetContentModerationInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetContentModerationRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetContentModerationOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetFaceDetection = "GetFaceDetection" // GetFaceDetectionRequest generates a "aws/request.Request" representing the // client's request for the GetFaceDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetFaceDetection for more information on using the GetFaceDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetFaceDetectionRequest method. // req, resp := client.GetFaceDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetFaceDetectionRequest(input GetFaceDetectionInput) (req request.Request, output GetFaceDetectionOutput) { op := &request.Operation{ Name: opGetFaceDetection, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetFaceDetectionInput{} } output = &GetFaceDetectionOutput{} req = c.newRequest(op, input, output) return } // GetFaceDetection API operation for Amazon Rekognition. // // Gets face detection results for a Amazon Rekognition Video analysis started // by StartFaceDetection. // // Face detection with Amazon Rekognition Video is an asynchronous operation. // You start face detection by calling StartFaceDetection which returns a job // identifier (JobId). When the face detection operation finishes, Amazon Rekognition // Video publishes a completion status to the Amazon Simple Notification Service // topic registered in the initial call to StartFaceDetection. To get the results // of the face detection operation, first check that the status value published // to the Amazon SNS topic is SUCCEEDED. If so, call GetFaceDetection and pass // the job identifier (JobId) from the initial call to StartFaceDetection. // // GetFaceDetection returns an array of detected faces (Faces) sorted by the // time the faces were detected. // // Use MaxResults parameter to limit the number of labels returned. If there // are more results than specified in MaxResults, the value of NextToken in // the operation response contains a pagination token for getting the next set // of results. To get the next page of results, call GetFaceDetection and populate // the NextToken request parameter with the token value returned from the previous // call to GetFaceDetection. // // Note that for the GetFaceDetection operation, the returned values for FaceOccluded // and EyeDirection will always be "null". // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetFaceDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetFaceDetection(input GetFaceDetectionInput) (GetFaceDetectionOutput, error) { req, out := c.GetFaceDetectionRequest(input) return out, req.Send() } // GetFaceDetectionWithContext is the same as GetFaceDetection with the addition of // the ability to pass a context and additional request options. // // See GetFaceDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetFaceDetectionWithContext(ctx aws.Context, input GetFaceDetectionInput, opts ...request.Option) (GetFaceDetectionOutput, error) { req, out := c.GetFaceDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetFaceDetectionPages iterates over the pages of a GetFaceDetection operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetFaceDetection method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetFaceDetection operation. // pageNum := 0 // err := client.GetFaceDetectionPages(params, // func(page rekognition.GetFaceDetectionOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetFaceDetectionPages(input GetFaceDetectionInput, fn func(GetFaceDetectionOutput, bool) bool) error { return c.GetFaceDetectionPagesWithContext(aws.BackgroundContext(), input, fn) } // GetFaceDetectionPagesWithContext same as GetFaceDetectionPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetFaceDetectionPagesWithContext(ctx aws.Context, input GetFaceDetectionInput, fn func(GetFaceDetectionOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetFaceDetectionInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetFaceDetectionRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetFaceDetectionOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetFaceLivenessSessionResults = "GetFaceLivenessSessionResults" // GetFaceLivenessSessionResultsRequest generates a "aws/request.Request" representing the // client's request for the GetFaceLivenessSessionResults operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetFaceLivenessSessionResults for more information on using the GetFaceLivenessSessionResults // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetFaceLivenessSessionResultsRequest method. // req, resp := client.GetFaceLivenessSessionResultsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetFaceLivenessSessionResultsRequest(input GetFaceLivenessSessionResultsInput) (req request.Request, output GetFaceLivenessSessionResultsOutput) { op := &request.Operation{ Name: opGetFaceLivenessSessionResults, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &GetFaceLivenessSessionResultsInput{} } output = &GetFaceLivenessSessionResultsOutput{} req = c.newRequest(op, input, output) return } // GetFaceLivenessSessionResults API operation for Amazon Rekognition. // // Retrieves the results of a specific Face Liveness session. It requires the // sessionId as input, which was created using CreateFaceLivenessSession. Returns // the corresponding Face Liveness confidence score, a reference image that // includes a face bounding box, and audit images that also contain face bounding // boxes. The Face Liveness confidence score ranges from 0 to 100. // // The number of audit images returned by GetFaceLivenessSessionResults is defined // by the AuditImagesLimit paramater when calling CreateFaceLivenessSession. // Reference images are always returned when possible. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetFaceLivenessSessionResults for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - SessionNotFoundException // Occurs when a given sessionId is not found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) GetFaceLivenessSessionResults(input GetFaceLivenessSessionResultsInput) (GetFaceLivenessSessionResultsOutput, error) { req, out := c.GetFaceLivenessSessionResultsRequest(input) return out, req.Send() } // GetFaceLivenessSessionResultsWithContext is the same as GetFaceLivenessSessionResults with the addition of // the ability to pass a context and additional request options. // // See GetFaceLivenessSessionResults for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetFaceLivenessSessionResultsWithContext(ctx aws.Context, input GetFaceLivenessSessionResultsInput, opts ...request.Option) (GetFaceLivenessSessionResultsOutput, error) { req, out := c.GetFaceLivenessSessionResultsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opGetFaceSearch = "GetFaceSearch" // GetFaceSearchRequest generates a "aws/request.Request" representing the // client's request for the GetFaceSearch operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetFaceSearch for more information on using the GetFaceSearch // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetFaceSearchRequest method. // req, resp := client.GetFaceSearchRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetFaceSearchRequest(input GetFaceSearchInput) (req request.Request, output GetFaceSearchOutput) { op := &request.Operation{ Name: opGetFaceSearch, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetFaceSearchInput{} } output = &GetFaceSearchOutput{} req = c.newRequest(op, input, output) return } // GetFaceSearch API operation for Amazon Rekognition. // // Gets the face search results for Amazon Rekognition Video face search started // by StartFaceSearch. The search returns faces in a collection that match the // faces of persons detected in a video. It also includes the time(s) that faces // are matched in the video. // // Face search in a video is an asynchronous operation. You start face search // by calling to StartFaceSearch which returns a job identifier (JobId). When // the search operation finishes, Amazon Rekognition Video publishes a completion // status to the Amazon Simple Notification Service topic registered in the // initial call to StartFaceSearch. To get the search results, first check that // the status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetFaceSearch and pass the job identifier (JobId) from the initial call to // StartFaceSearch. // // For more information, see Searching Faces in a Collection in the Amazon Rekognition // Developer Guide. // // The search results are retured in an array, Persons, of PersonMatch objects. // EachPersonMatch element contains details about the matching faces in the // input collection, person information (facial attributes, bounding boxes, // and person identifer) for the matched person, and the time the person was // matched in the video. // // GetFaceSearch only returns the default facial attributes (BoundingBox, Confidence, // Landmarks, Pose, and Quality). The other facial attributes listed in the // Face object of the following response syntax are not returned. For more information, // see FaceDetail in the Amazon Rekognition Developer Guide. // // By default, the Persons array is sorted by the time, in milliseconds from // the start of the video, persons are matched. You can also sort by persons // by specifying INDEX for the SORTBY input parameter. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetFaceSearch for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetFaceSearch(input GetFaceSearchInput) (GetFaceSearchOutput, error) { req, out := c.GetFaceSearchRequest(input) return out, req.Send() } // GetFaceSearchWithContext is the same as GetFaceSearch with the addition of // the ability to pass a context and additional request options. // // See GetFaceSearch for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetFaceSearchWithContext(ctx aws.Context, input GetFaceSearchInput, opts ...request.Option) (GetFaceSearchOutput, error) { req, out := c.GetFaceSearchRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetFaceSearchPages iterates over the pages of a GetFaceSearch operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetFaceSearch method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetFaceSearch operation. // pageNum := 0 // err := client.GetFaceSearchPages(params, // func(page rekognition.GetFaceSearchOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetFaceSearchPages(input GetFaceSearchInput, fn func(GetFaceSearchOutput, bool) bool) error { return c.GetFaceSearchPagesWithContext(aws.BackgroundContext(), input, fn) } // GetFaceSearchPagesWithContext same as GetFaceSearchPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetFaceSearchPagesWithContext(ctx aws.Context, input GetFaceSearchInput, fn func(GetFaceSearchOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetFaceSearchInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetFaceSearchRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetFaceSearchOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetLabelDetection = "GetLabelDetection" // GetLabelDetectionRequest generates a "aws/request.Request" representing the // client's request for the GetLabelDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetLabelDetection for more information on using the GetLabelDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetLabelDetectionRequest method. // req, resp := client.GetLabelDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetLabelDetectionRequest(input GetLabelDetectionInput) (req request.Request, output GetLabelDetectionOutput) { op := &request.Operation{ Name: opGetLabelDetection, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetLabelDetectionInput{} } output = &GetLabelDetectionOutput{} req = c.newRequest(op, input, output) return } // GetLabelDetection API operation for Amazon Rekognition. // // Gets the label detection results of a Amazon Rekognition Video analysis started // by StartLabelDetection. // // The label detection operation is started by a call to StartLabelDetection // which returns a job identifier (JobId). When the label detection operation // finishes, Amazon Rekognition publishes a completion status to the Amazon // Simple Notification Service topic registered in the initial call to StartlabelDetection. // // To get the results of the label detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetLabelDetection and pass the job identifier (JobId) from the initial call // to StartLabelDetection. // // GetLabelDetection returns an array of detected labels (Labels) sorted by // the time the labels were detected. You can also sort by the label name by // specifying NAME for the SortBy input parameter. If there is no NAME specified, // the default sort is by timestamp. // // You can select how results are aggregated by using the AggregateBy input // parameter. The default aggregation method is TIMESTAMPS. You can also aggregate // by SEGMENTS, which aggregates all instances of labels detected in a given // segment. // // The returned Labels array may include the following attributes: // // - Name - The name of the detected label. // // - Confidence - The level of confidence in the label assigned to a detected // object. // // - Parents - The ancestor labels for a detected label. GetLabelDetection // returns a hierarchical taxonomy of detected labels. For example, a detected // car might be assigned the label car. The label car has two parent labels: // Vehicle (its parent) and Transportation (its grandparent). The response // includes the all ancestors for a label, where every ancestor is a unique // label. In the previous example, Car, Vehicle, and Transportation are returned // as unique labels in the response. // // - Aliases - Possible Aliases for the label. // // - Categories - The label categories that the detected label belongs to. // // - BoundingBox — Bounding boxes are described for all instances of detected // common object labels, returned in an array of Instance objects. An Instance // object contains a BoundingBox object, describing the location of the label // on the input image. It also includes the confidence for the accuracy of // the detected bounding box. // // - Timestamp - Time, in milliseconds from the start of the video, that // the label was detected. For aggregation by SEGMENTS, the StartTimestampMillis, // EndTimestampMillis, and DurationMillis structures are what define a segment. // Although the “Timestamp” structure is still returned with each label, // its value is set to be the same as StartTimestampMillis. // // Timestamp and Bounding box information are returned for detected Instances, // only if aggregation is done by TIMESTAMPS. If aggregating by SEGMENTS, information // about detected instances isn’t returned. // // The version of the label model used for the detection is also returned. // // Note DominantColors isn't returned for Instances, although it is shown as // part of the response in the sample seen below. // // Use MaxResults parameter to limit the number of labels returned. If there // are more results than specified in MaxResults, the value of NextToken in // the operation response contains a pagination token for getting the next set // of results. To get the next page of results, call GetlabelDetection and populate // the NextToken request parameter with the token value returned from the previous // call to GetLabelDetection. // // If you are retrieving results while using the Amazon Simple Notification // Service, note that you will receive an "ERROR" notification if the job encounters // an issue. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetLabelDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetLabelDetection(input GetLabelDetectionInput) (GetLabelDetectionOutput, error) { req, out := c.GetLabelDetectionRequest(input) return out, req.Send() } // GetLabelDetectionWithContext is the same as GetLabelDetection with the addition of // the ability to pass a context and additional request options. // // See GetLabelDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetLabelDetectionWithContext(ctx aws.Context, input GetLabelDetectionInput, opts ...request.Option) (GetLabelDetectionOutput, error) { req, out := c.GetLabelDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetLabelDetectionPages iterates over the pages of a GetLabelDetection operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetLabelDetection method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetLabelDetection operation. // pageNum := 0 // err := client.GetLabelDetectionPages(params, // func(page rekognition.GetLabelDetectionOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetLabelDetectionPages(input GetLabelDetectionInput, fn func(GetLabelDetectionOutput, bool) bool) error { return c.GetLabelDetectionPagesWithContext(aws.BackgroundContext(), input, fn) } // GetLabelDetectionPagesWithContext same as GetLabelDetectionPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetLabelDetectionPagesWithContext(ctx aws.Context, input GetLabelDetectionInput, fn func(GetLabelDetectionOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetLabelDetectionInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetLabelDetectionRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetLabelDetectionOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetMediaAnalysisJob = "GetMediaAnalysisJob" // GetMediaAnalysisJobRequest generates a "aws/request.Request" representing the // client's request for the GetMediaAnalysisJob operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetMediaAnalysisJob for more information on using the GetMediaAnalysisJob // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetMediaAnalysisJobRequest method. // req, resp := client.GetMediaAnalysisJobRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetMediaAnalysisJobRequest(input GetMediaAnalysisJobInput) (req request.Request, output GetMediaAnalysisJobOutput) { op := &request.Operation{ Name: opGetMediaAnalysisJob, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &GetMediaAnalysisJobInput{} } output = &GetMediaAnalysisJobOutput{} req = c.newRequest(op, input, output) return } // GetMediaAnalysisJob API operation for Amazon Rekognition. // // Retrieves the results for a given media analysis job. Takes a JobId returned // by StartMediaAnalysisJob. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetMediaAnalysisJob for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetMediaAnalysisJob(input GetMediaAnalysisJobInput) (GetMediaAnalysisJobOutput, error) { req, out := c.GetMediaAnalysisJobRequest(input) return out, req.Send() } // GetMediaAnalysisJobWithContext is the same as GetMediaAnalysisJob with the addition of // the ability to pass a context and additional request options. // // See GetMediaAnalysisJob for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetMediaAnalysisJobWithContext(ctx aws.Context, input GetMediaAnalysisJobInput, opts ...request.Option) (GetMediaAnalysisJobOutput, error) { req, out := c.GetMediaAnalysisJobRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opGetPersonTracking = "GetPersonTracking" // GetPersonTrackingRequest generates a "aws/request.Request" representing the // client's request for the GetPersonTracking operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetPersonTracking for more information on using the GetPersonTracking // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetPersonTrackingRequest method. // req, resp := client.GetPersonTrackingRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetPersonTrackingRequest(input GetPersonTrackingInput) (req request.Request, output GetPersonTrackingOutput) { op := &request.Operation{ Name: opGetPersonTracking, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetPersonTrackingInput{} } output = &GetPersonTrackingOutput{} req = c.newRequest(op, input, output) return } // GetPersonTracking API operation for Amazon Rekognition. // // Gets the path tracking results of a Amazon Rekognition Video analysis started // by StartPersonTracking. // // The person path tracking operation is started by a call to StartPersonTracking // which returns a job identifier (JobId). When the operation finishes, Amazon // Rekognition Video publishes a completion status to the Amazon Simple Notification // Service topic registered in the initial call to StartPersonTracking. // // To get the results of the person path tracking operation, first check that // the status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetPersonTracking and pass the job identifier (JobId) from the initial call // to StartPersonTracking. // // GetPersonTracking returns an array, Persons, of tracked persons and the time(s) // their paths were tracked in the video. // // GetPersonTracking only returns the default facial attributes (BoundingBox, // Confidence, Landmarks, Pose, and Quality). The other facial attributes listed // in the Face object of the following response syntax are not returned. // // For more information, see FaceDetail in the Amazon Rekognition Developer // Guide. // // By default, the array is sorted by the time(s) a person's path is tracked // in the video. You can sort by tracked persons by specifying INDEX for the // SortBy input parameter. // // Use the MaxResults parameter to limit the number of items returned. If there // are more results than specified in MaxResults, the value of NextToken in // the operation response contains a pagination token for getting the next set // of results. To get the next page of results, call GetPersonTracking and populate // the NextToken request parameter with the token value returned from the previous // call to GetPersonTracking. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetPersonTracking for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetPersonTracking(input GetPersonTrackingInput) (GetPersonTrackingOutput, error) { req, out := c.GetPersonTrackingRequest(input) return out, req.Send() } // GetPersonTrackingWithContext is the same as GetPersonTracking with the addition of // the ability to pass a context and additional request options. // // See GetPersonTracking for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetPersonTrackingWithContext(ctx aws.Context, input GetPersonTrackingInput, opts ...request.Option) (GetPersonTrackingOutput, error) { req, out := c.GetPersonTrackingRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetPersonTrackingPages iterates over the pages of a GetPersonTracking operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetPersonTracking method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetPersonTracking operation. // pageNum := 0 // err := client.GetPersonTrackingPages(params, // func(page rekognition.GetPersonTrackingOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetPersonTrackingPages(input GetPersonTrackingInput, fn func(GetPersonTrackingOutput, bool) bool) error { return c.GetPersonTrackingPagesWithContext(aws.BackgroundContext(), input, fn) } // GetPersonTrackingPagesWithContext same as GetPersonTrackingPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetPersonTrackingPagesWithContext(ctx aws.Context, input GetPersonTrackingInput, fn func(GetPersonTrackingOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetPersonTrackingInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetPersonTrackingRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetPersonTrackingOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetSegmentDetection = "GetSegmentDetection" // GetSegmentDetectionRequest generates a "aws/request.Request" representing the // client's request for the GetSegmentDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetSegmentDetection for more information on using the GetSegmentDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetSegmentDetectionRequest method. // req, resp := client.GetSegmentDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetSegmentDetectionRequest(input GetSegmentDetectionInput) (req request.Request, output GetSegmentDetectionOutput) { op := &request.Operation{ Name: opGetSegmentDetection, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetSegmentDetectionInput{} } output = &GetSegmentDetectionOutput{} req = c.newRequest(op, input, output) return } // GetSegmentDetection API operation for Amazon Rekognition. // // Gets the segment detection results of a Amazon Rekognition Video analysis // started by StartSegmentDetection. // // Segment detection with Amazon Rekognition Video is an asynchronous operation. // You start segment detection by calling StartSegmentDetection which returns // a job identifier (JobId). When the segment detection operation finishes, // Amazon Rekognition publishes a completion status to the Amazon Simple Notification // Service topic registered in the initial call to StartSegmentDetection. To // get the results of the segment detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. if so, call // GetSegmentDetection and pass the job identifier (JobId) from the initial // call of StartSegmentDetection. // // GetSegmentDetection returns detected segments in an array (Segments) of SegmentDetection // objects. Segments is sorted by the segment types specified in the SegmentTypes // input parameter of StartSegmentDetection. Each element of the array includes // the detected segment, the precentage confidence in the acuracy of the detected // segment, the type of the segment, and the frame in which the segment was // detected. // // Use SelectedSegmentTypes to find out the type of segment detection requested // in the call to StartSegmentDetection. // // Use the MaxResults parameter to limit the number of segment detections returned. // If there are more results than specified in MaxResults, the value of NextToken // in the operation response contains a pagination token for getting the next // set of results. To get the next page of results, call GetSegmentDetection // and populate the NextToken request parameter with the token value returned // from the previous call to GetSegmentDetection. // // For more information, see Detecting video segments in stored video in the // Amazon Rekognition Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetSegmentDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetSegmentDetection(input GetSegmentDetectionInput) (GetSegmentDetectionOutput, error) { req, out := c.GetSegmentDetectionRequest(input) return out, req.Send() } // GetSegmentDetectionWithContext is the same as GetSegmentDetection with the addition of // the ability to pass a context and additional request options. // // See GetSegmentDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetSegmentDetectionWithContext(ctx aws.Context, input GetSegmentDetectionInput, opts ...request.Option) (GetSegmentDetectionOutput, error) { req, out := c.GetSegmentDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetSegmentDetectionPages iterates over the pages of a GetSegmentDetection operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetSegmentDetection method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetSegmentDetection operation. // pageNum := 0 // err := client.GetSegmentDetectionPages(params, // func(page rekognition.GetSegmentDetectionOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetSegmentDetectionPages(input GetSegmentDetectionInput, fn func(GetSegmentDetectionOutput, bool) bool) error { return c.GetSegmentDetectionPagesWithContext(aws.BackgroundContext(), input, fn) } // GetSegmentDetectionPagesWithContext same as GetSegmentDetectionPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetSegmentDetectionPagesWithContext(ctx aws.Context, input GetSegmentDetectionInput, fn func(GetSegmentDetectionOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetSegmentDetectionInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetSegmentDetectionRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetSegmentDetectionOutput), !p.HasNextPage()) { break } } return p.Err() } const opGetTextDetection = "GetTextDetection" // GetTextDetectionRequest generates a "aws/request.Request" representing the // client's request for the GetTextDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See GetTextDetection for more information on using the GetTextDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the GetTextDetectionRequest method. // req, resp := client.GetTextDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) GetTextDetectionRequest(input GetTextDetectionInput) (req request.Request, output GetTextDetectionOutput) { op := &request.Operation{ Name: opGetTextDetection, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &GetTextDetectionInput{} } output = &GetTextDetectionOutput{} req = c.newRequest(op, input, output) return } // GetTextDetection API operation for Amazon Rekognition. // // Gets the text detection results of a Amazon Rekognition Video analysis started // by StartTextDetection. // // Text detection with Amazon Rekognition Video is an asynchronous operation. // You start text detection by calling StartTextDetection which returns a job // identifier (JobId) When the text detection operation finishes, Amazon Rekognition // publishes a completion status to the Amazon Simple Notification Service topic // registered in the initial call to StartTextDetection. To get the results // of the text detection operation, first check that the status value published // to the Amazon SNS topic is SUCCEEDED. if so, call GetTextDetection and pass // the job identifier (JobId) from the initial call of StartLabelDetection. // // GetTextDetection returns an array of detected text (TextDetections) sorted // by the time the text was detected, up to 100 words per frame of video. // // Each element of the array includes the detected text, the precentage confidence // in the acuracy of the detected text, the time the text was detected, bounding // box information for where the text was located, and unique identifiers for // words and their lines. // // Use MaxResults parameter to limit the number of text detections returned. // If there are more results than specified in MaxResults, the value of NextToken // in the operation response contains a pagination token for getting the next // set of results. To get the next page of results, call GetTextDetection and // populate the NextToken request parameter with the token value returned from // the previous call to GetTextDetection. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation GetTextDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) GetTextDetection(input GetTextDetectionInput) (GetTextDetectionOutput, error) { req, out := c.GetTextDetectionRequest(input) return out, req.Send() } // GetTextDetectionWithContext is the same as GetTextDetection with the addition of // the ability to pass a context and additional request options. // // See GetTextDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetTextDetectionWithContext(ctx aws.Context, input GetTextDetectionInput, opts ...request.Option) (GetTextDetectionOutput, error) { req, out := c.GetTextDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // GetTextDetectionPages iterates over the pages of a GetTextDetection operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See GetTextDetection method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a GetTextDetection operation. // pageNum := 0 // err := client.GetTextDetectionPages(params, // func(page rekognition.GetTextDetectionOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) GetTextDetectionPages(input GetTextDetectionInput, fn func(GetTextDetectionOutput, bool) bool) error { return c.GetTextDetectionPagesWithContext(aws.BackgroundContext(), input, fn) } // GetTextDetectionPagesWithContext same as GetTextDetectionPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) GetTextDetectionPagesWithContext(ctx aws.Context, input GetTextDetectionInput, fn func(GetTextDetectionOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy GetTextDetectionInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.GetTextDetectionRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(GetTextDetectionOutput), !p.HasNextPage()) { break } } return p.Err() } const opIndexFaces = "IndexFaces" // IndexFacesRequest generates a "aws/request.Request" representing the // client's request for the IndexFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See IndexFaces for more information on using the IndexFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the IndexFacesRequest method. // req, resp := client.IndexFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) IndexFacesRequest(input IndexFacesInput) (req request.Request, output IndexFacesOutput) { op := &request.Operation{ Name: opIndexFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &IndexFacesInput{} } output = &IndexFacesOutput{} req = c.newRequest(op, input, output) return } // IndexFaces API operation for Amazon Rekognition. // // Detects faces in the input image and adds them to the specified collection. // // Amazon Rekognition doesn't save the actual faces that are detected. Instead, // the underlying detection algorithm first detects the faces in the input image. // For each face, the algorithm extracts facial features into a feature vector, // and stores it in the backend database. Amazon Rekognition uses feature vectors // when it performs face match and search operations using the SearchFaces and // SearchFacesByImage operations. // // For more information, see Adding faces to a collection in the Amazon Rekognition // Developer Guide. // // To get the number of faces in a collection, call DescribeCollection. // // If you're using version 1.0 of the face detection model, IndexFaces indexes // the 15 largest faces in the input image. Later versions of the face detection // model index the 100 largest faces in the input image. // // If you're using version 4 or later of the face model, image orientation information // is not returned in the OrientationCorrection field. // // To determine which version of the model you're using, call DescribeCollection // and supply the collection ID. You can also get the model version from the // value of FaceModelVersion in the response from IndexFaces // // For more information, see Model Versioning in the Amazon Rekognition Developer // Guide. // // If you provide the optional ExternalImageId for the input image you provided, // Amazon Rekognition associates this ID with all faces that it detects. When // you call the ListFaces operation, the response returns the external ID. You // can use this external image ID to create a client-side index to associate // the faces with each image. You can then use the index to find all faces in // an image. // // You can specify the maximum number of faces to index with the MaxFaces input // parameter. This is useful when you want to index the largest faces in an // image and don't want to index smaller faces, such as those belonging to people // standing in the background. // // The QualityFilter input parameter allows you to filter out detected faces // that don’t meet a required quality bar. The quality bar is based on a variety // of common use cases. By default, IndexFaces chooses the quality bar that's // used to filter faces. You can also explicitly choose the quality bar. Use // QualityFilter, to set the quality bar by specifying LOW, MEDIUM, or HIGH. // If you do not want to filter detected faces, specify NONE. // // To use quality filtering, you need a collection associated with version 3 // of the face model or higher. To get the version of the face model associated // with a collection, call DescribeCollection. // // Information about faces detected in an image, but not indexed, is returned // in an array of UnindexedFace objects, UnindexedFaces. Faces aren't indexed // for reasons such as: // // - The number of faces detected exceeds the value of the MaxFaces request // parameter. // // - The face is too small compared to the image dimensions. // // - The face is too blurry. // // - The image is too dark. // // - The face has an extreme pose. // // - The face doesn’t have enough detail to be suitable for face search. // // In response, the IndexFaces operation returns an array of metadata for all // detected faces, FaceRecords. This includes: // // - The bounding box, BoundingBox, of the detected face. // // - A confidence value, Confidence, which indicates the confidence that // the bounding box contains a face. // // - A face ID, FaceId, assigned by the service for each face that's detected // and stored. // // - An image ID, ImageId, assigned by the service for the input image. // // If you request ALL or specific facial attributes (e.g., FACE_OCCLUDED) by // using the detectionAttributes parameter, Amazon Rekognition returns detailed // facial attributes, such as facial landmarks (for example, location of eye // and mouth), facial occlusion, and other facial attributes. // // If you provide the same image, specify the same collection, and use the same // external ID in the IndexFaces operation, Amazon Rekognition doesn't save // duplicate face metadata. // // The input image is passed either as base64-encoded image bytes, or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes isn't supported. The image must // be formatted as a PNG or JPEG file. // // This operation requires permissions to perform the rekognition:IndexFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation IndexFaces for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidImageFormatException // The provided image format is not supported. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. func (c Rekognition) IndexFaces(input IndexFacesInput) (IndexFacesOutput, error) { req, out := c.IndexFacesRequest(input) return out, req.Send() } // IndexFacesWithContext is the same as IndexFaces with the addition of // the ability to pass a context and additional request options. // // See IndexFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) IndexFacesWithContext(ctx aws.Context, input IndexFacesInput, opts ...request.Option) (IndexFacesOutput, error) { req, out := c.IndexFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opListCollections = "ListCollections" // ListCollectionsRequest generates a "aws/request.Request" representing the // client's request for the ListCollections operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListCollections for more information on using the ListCollections // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListCollectionsRequest method. // req, resp := client.ListCollectionsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListCollectionsRequest(input ListCollectionsInput) (req request.Request, output ListCollectionsOutput) { op := &request.Operation{ Name: opListCollections, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListCollectionsInput{} } output = &ListCollectionsOutput{} req = c.newRequest(op, input, output) return } // ListCollections API operation for Amazon Rekognition. // // Returns list of collection IDs in your account. If the result is truncated, // the response also provides a NextToken that you can use in the subsequent // request to fetch the next set of collection IDs. // // For an example, see Listing collections in the Amazon Rekognition Developer // Guide. // // This operation requires permissions to perform the rekognition:ListCollections // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListCollections for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) ListCollections(input ListCollectionsInput) (ListCollectionsOutput, error) { req, out := c.ListCollectionsRequest(input) return out, req.Send() } // ListCollectionsWithContext is the same as ListCollections with the addition of // the ability to pass a context and additional request options. // // See ListCollections for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListCollectionsWithContext(ctx aws.Context, input ListCollectionsInput, opts ...request.Option) (ListCollectionsOutput, error) { req, out := c.ListCollectionsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListCollectionsPages iterates over the pages of a ListCollections operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListCollections method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListCollections operation. // pageNum := 0 // err := client.ListCollectionsPages(params, // func(page rekognition.ListCollectionsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListCollectionsPages(input ListCollectionsInput, fn func(ListCollectionsOutput, bool) bool) error { return c.ListCollectionsPagesWithContext(aws.BackgroundContext(), input, fn) } // ListCollectionsPagesWithContext same as ListCollectionsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListCollectionsPagesWithContext(ctx aws.Context, input ListCollectionsInput, fn func(ListCollectionsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListCollectionsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListCollectionsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListCollectionsOutput), !p.HasNextPage()) { break } } return p.Err() } const opListDatasetEntries = "ListDatasetEntries" // ListDatasetEntriesRequest generates a "aws/request.Request" representing the // client's request for the ListDatasetEntries operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListDatasetEntries for more information on using the ListDatasetEntries // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListDatasetEntriesRequest method. // req, resp := client.ListDatasetEntriesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListDatasetEntriesRequest(input ListDatasetEntriesInput) (req request.Request, output ListDatasetEntriesOutput) { op := &request.Operation{ Name: opListDatasetEntries, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListDatasetEntriesInput{} } output = &ListDatasetEntriesOutput{} req = c.newRequest(op, input, output) return } // ListDatasetEntries API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Lists the entries (images) within a dataset. An entry is a JSON Line that // contains the information for a single image, including the image location, // assigned labels, and object location bounding boxes. For more information, // see Creating a manifest file (https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/md-manifest-files.html). // // JSON Lines in the response include information about non-terminal errors // found in the dataset. Non terminal errors are reported in errors lists within // each JSON Line. The same information is reported in the training and testing // validation result manifests that Amazon Rekognition Custom Labels creates // during model training. // // You can filter the response in variety of ways, such as choosing which labels // to return and returning JSON Lines created after a specific date. // // This operation requires permissions to perform the rekognition:ListDatasetEntries // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListDatasetEntries for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - ResourceInUseException // The specified resource is already being used. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. func (c Rekognition) ListDatasetEntries(input ListDatasetEntriesInput) (ListDatasetEntriesOutput, error) { req, out := c.ListDatasetEntriesRequest(input) return out, req.Send() } // ListDatasetEntriesWithContext is the same as ListDatasetEntries with the addition of // the ability to pass a context and additional request options. // // See ListDatasetEntries for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListDatasetEntriesWithContext(ctx aws.Context, input ListDatasetEntriesInput, opts ...request.Option) (ListDatasetEntriesOutput, error) { req, out := c.ListDatasetEntriesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListDatasetEntriesPages iterates over the pages of a ListDatasetEntries operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListDatasetEntries method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListDatasetEntries operation. // pageNum := 0 // err := client.ListDatasetEntriesPages(params, // func(page rekognition.ListDatasetEntriesOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListDatasetEntriesPages(input ListDatasetEntriesInput, fn func(ListDatasetEntriesOutput, bool) bool) error { return c.ListDatasetEntriesPagesWithContext(aws.BackgroundContext(), input, fn) } // ListDatasetEntriesPagesWithContext same as ListDatasetEntriesPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListDatasetEntriesPagesWithContext(ctx aws.Context, input ListDatasetEntriesInput, fn func(ListDatasetEntriesOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListDatasetEntriesInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListDatasetEntriesRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListDatasetEntriesOutput), !p.HasNextPage()) { break } } return p.Err() } const opListDatasetLabels = "ListDatasetLabels" // ListDatasetLabelsRequest generates a "aws/request.Request" representing the // client's request for the ListDatasetLabels operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListDatasetLabels for more information on using the ListDatasetLabels // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListDatasetLabelsRequest method. // req, resp := client.ListDatasetLabelsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListDatasetLabelsRequest(input ListDatasetLabelsInput) (req request.Request, output ListDatasetLabelsOutput) { op := &request.Operation{ Name: opListDatasetLabels, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListDatasetLabelsInput{} } output = &ListDatasetLabelsOutput{} req = c.newRequest(op, input, output) return } // ListDatasetLabels API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Lists the labels in a dataset. Amazon Rekognition Custom Labels uses labels // to describe images. For more information, see Labeling images (https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/md-labeling-images.html). // // Lists the labels in a dataset. Amazon Rekognition Custom Labels uses labels // to describe images. For more information, see Labeling images in the Amazon // Rekognition Custom Labels Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListDatasetLabels for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - ResourceInUseException // The specified resource is already being used. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. func (c Rekognition) ListDatasetLabels(input ListDatasetLabelsInput) (ListDatasetLabelsOutput, error) { req, out := c.ListDatasetLabelsRequest(input) return out, req.Send() } // ListDatasetLabelsWithContext is the same as ListDatasetLabels with the addition of // the ability to pass a context and additional request options. // // See ListDatasetLabels for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListDatasetLabelsWithContext(ctx aws.Context, input ListDatasetLabelsInput, opts ...request.Option) (ListDatasetLabelsOutput, error) { req, out := c.ListDatasetLabelsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListDatasetLabelsPages iterates over the pages of a ListDatasetLabels operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListDatasetLabels method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListDatasetLabels operation. // pageNum := 0 // err := client.ListDatasetLabelsPages(params, // func(page rekognition.ListDatasetLabelsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListDatasetLabelsPages(input ListDatasetLabelsInput, fn func(ListDatasetLabelsOutput, bool) bool) error { return c.ListDatasetLabelsPagesWithContext(aws.BackgroundContext(), input, fn) } // ListDatasetLabelsPagesWithContext same as ListDatasetLabelsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListDatasetLabelsPagesWithContext(ctx aws.Context, input ListDatasetLabelsInput, fn func(ListDatasetLabelsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListDatasetLabelsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListDatasetLabelsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListDatasetLabelsOutput), !p.HasNextPage()) { break } } return p.Err() } const opListFaces = "ListFaces" // ListFacesRequest generates a "aws/request.Request" representing the // client's request for the ListFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListFaces for more information on using the ListFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListFacesRequest method. // req, resp := client.ListFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListFacesRequest(input ListFacesInput) (req request.Request, output ListFacesOutput) { op := &request.Operation{ Name: opListFaces, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListFacesInput{} } output = &ListFacesOutput{} req = c.newRequest(op, input, output) return } // ListFaces API operation for Amazon Rekognition. // // Returns metadata for faces in the specified collection. This metadata includes // information such as the bounding box coordinates, the confidence (that the // bounding box contains a face), and face ID. For an example, see Listing Faces // in a Collection in the Amazon Rekognition Developer Guide. // // This operation requires permissions to perform the rekognition:ListFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) ListFaces(input ListFacesInput) (ListFacesOutput, error) { req, out := c.ListFacesRequest(input) return out, req.Send() } // ListFacesWithContext is the same as ListFaces with the addition of // the ability to pass a context and additional request options. // // See ListFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListFacesWithContext(ctx aws.Context, input ListFacesInput, opts ...request.Option) (ListFacesOutput, error) { req, out := c.ListFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListFacesPages iterates over the pages of a ListFaces operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListFaces method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListFaces operation. // pageNum := 0 // err := client.ListFacesPages(params, // func(page rekognition.ListFacesOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListFacesPages(input ListFacesInput, fn func(ListFacesOutput, bool) bool) error { return c.ListFacesPagesWithContext(aws.BackgroundContext(), input, fn) } // ListFacesPagesWithContext same as ListFacesPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListFacesPagesWithContext(ctx aws.Context, input ListFacesInput, fn func(ListFacesOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListFacesInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListFacesRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListFacesOutput), !p.HasNextPage()) { break } } return p.Err() } const opListMediaAnalysisJobs = "ListMediaAnalysisJobs" // ListMediaAnalysisJobsRequest generates a "aws/request.Request" representing the // client's request for the ListMediaAnalysisJobs operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListMediaAnalysisJobs for more information on using the ListMediaAnalysisJobs // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListMediaAnalysisJobsRequest method. // req, resp := client.ListMediaAnalysisJobsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListMediaAnalysisJobsRequest(input ListMediaAnalysisJobsInput) (req request.Request, output ListMediaAnalysisJobsOutput) { op := &request.Operation{ Name: opListMediaAnalysisJobs, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListMediaAnalysisJobsInput{} } output = &ListMediaAnalysisJobsOutput{} req = c.newRequest(op, input, output) return } // ListMediaAnalysisJobs API operation for Amazon Rekognition. // // Returns a list of media analysis jobs. Results are sorted by CreationTimestamp // in descending order. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListMediaAnalysisJobs for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) ListMediaAnalysisJobs(input ListMediaAnalysisJobsInput) (ListMediaAnalysisJobsOutput, error) { req, out := c.ListMediaAnalysisJobsRequest(input) return out, req.Send() } // ListMediaAnalysisJobsWithContext is the same as ListMediaAnalysisJobs with the addition of // the ability to pass a context and additional request options. // // See ListMediaAnalysisJobs for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListMediaAnalysisJobsWithContext(ctx aws.Context, input ListMediaAnalysisJobsInput, opts ...request.Option) (ListMediaAnalysisJobsOutput, error) { req, out := c.ListMediaAnalysisJobsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListMediaAnalysisJobsPages iterates over the pages of a ListMediaAnalysisJobs operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListMediaAnalysisJobs method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListMediaAnalysisJobs operation. // pageNum := 0 // err := client.ListMediaAnalysisJobsPages(params, // func(page rekognition.ListMediaAnalysisJobsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListMediaAnalysisJobsPages(input ListMediaAnalysisJobsInput, fn func(ListMediaAnalysisJobsOutput, bool) bool) error { return c.ListMediaAnalysisJobsPagesWithContext(aws.BackgroundContext(), input, fn) } // ListMediaAnalysisJobsPagesWithContext same as ListMediaAnalysisJobsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListMediaAnalysisJobsPagesWithContext(ctx aws.Context, input ListMediaAnalysisJobsInput, fn func(ListMediaAnalysisJobsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListMediaAnalysisJobsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListMediaAnalysisJobsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListMediaAnalysisJobsOutput), !p.HasNextPage()) { break } } return p.Err() } const opListProjectPolicies = "ListProjectPolicies" // ListProjectPoliciesRequest generates a "aws/request.Request" representing the // client's request for the ListProjectPolicies operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListProjectPolicies for more information on using the ListProjectPolicies // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListProjectPoliciesRequest method. // req, resp := client.ListProjectPoliciesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListProjectPoliciesRequest(input ListProjectPoliciesInput) (req request.Request, output ListProjectPoliciesOutput) { op := &request.Operation{ Name: opListProjectPolicies, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListProjectPoliciesInput{} } output = &ListProjectPoliciesOutput{} req = c.newRequest(op, input, output) return } // ListProjectPolicies API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Gets a list of the project policies attached to a project. // // To attach a project policy to a project, call PutProjectPolicy. To remove // a project policy from a project, call DeleteProjectPolicy. // // This operation requires permissions to perform the rekognition:ListProjectPolicies // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListProjectPolicies for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. func (c Rekognition) ListProjectPolicies(input ListProjectPoliciesInput) (ListProjectPoliciesOutput, error) { req, out := c.ListProjectPoliciesRequest(input) return out, req.Send() } // ListProjectPoliciesWithContext is the same as ListProjectPolicies with the addition of // the ability to pass a context and additional request options. // // See ListProjectPolicies for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListProjectPoliciesWithContext(ctx aws.Context, input ListProjectPoliciesInput, opts ...request.Option) (ListProjectPoliciesOutput, error) { req, out := c.ListProjectPoliciesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListProjectPoliciesPages iterates over the pages of a ListProjectPolicies operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListProjectPolicies method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListProjectPolicies operation. // pageNum := 0 // err := client.ListProjectPoliciesPages(params, // func(page rekognition.ListProjectPoliciesOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListProjectPoliciesPages(input ListProjectPoliciesInput, fn func(ListProjectPoliciesOutput, bool) bool) error { return c.ListProjectPoliciesPagesWithContext(aws.BackgroundContext(), input, fn) } // ListProjectPoliciesPagesWithContext same as ListProjectPoliciesPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListProjectPoliciesPagesWithContext(ctx aws.Context, input ListProjectPoliciesInput, fn func(ListProjectPoliciesOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListProjectPoliciesInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListProjectPoliciesRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListProjectPoliciesOutput), !p.HasNextPage()) { break } } return p.Err() } const opListStreamProcessors = "ListStreamProcessors" // ListStreamProcessorsRequest generates a "aws/request.Request" representing the // client's request for the ListStreamProcessors operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListStreamProcessors for more information on using the ListStreamProcessors // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListStreamProcessorsRequest method. // req, resp := client.ListStreamProcessorsRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListStreamProcessorsRequest(input ListStreamProcessorsInput) (req request.Request, output ListStreamProcessorsOutput) { op := &request.Operation{ Name: opListStreamProcessors, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListStreamProcessorsInput{} } output = &ListStreamProcessorsOutput{} req = c.newRequest(op, input, output) return } // ListStreamProcessors API operation for Amazon Rekognition. // // Gets a list of stream processors that you have created with CreateStreamProcessor. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListStreamProcessors for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) ListStreamProcessors(input ListStreamProcessorsInput) (ListStreamProcessorsOutput, error) { req, out := c.ListStreamProcessorsRequest(input) return out, req.Send() } // ListStreamProcessorsWithContext is the same as ListStreamProcessors with the addition of // the ability to pass a context and additional request options. // // See ListStreamProcessors for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListStreamProcessorsWithContext(ctx aws.Context, input ListStreamProcessorsInput, opts ...request.Option) (ListStreamProcessorsOutput, error) { req, out := c.ListStreamProcessorsRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListStreamProcessorsPages iterates over the pages of a ListStreamProcessors operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListStreamProcessors method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListStreamProcessors operation. // pageNum := 0 // err := client.ListStreamProcessorsPages(params, // func(page rekognition.ListStreamProcessorsOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListStreamProcessorsPages(input ListStreamProcessorsInput, fn func(ListStreamProcessorsOutput, bool) bool) error { return c.ListStreamProcessorsPagesWithContext(aws.BackgroundContext(), input, fn) } // ListStreamProcessorsPagesWithContext same as ListStreamProcessorsPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListStreamProcessorsPagesWithContext(ctx aws.Context, input ListStreamProcessorsInput, fn func(ListStreamProcessorsOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListStreamProcessorsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListStreamProcessorsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListStreamProcessorsOutput), !p.HasNextPage()) { break } } return p.Err() } const opListTagsForResource = "ListTagsForResource" // ListTagsForResourceRequest generates a "aws/request.Request" representing the // client's request for the ListTagsForResource operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListTagsForResource for more information on using the ListTagsForResource // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListTagsForResourceRequest method. // req, resp := client.ListTagsForResourceRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListTagsForResourceRequest(input ListTagsForResourceInput) (req request.Request, output ListTagsForResourceOutput) { op := &request.Operation{ Name: opListTagsForResource, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &ListTagsForResourceInput{} } output = &ListTagsForResourceOutput{} req = c.newRequest(op, input, output) return } // ListTagsForResource API operation for Amazon Rekognition. // // Returns a list of tags in an Amazon Rekognition collection, stream processor, // or Custom Labels model. // // This operation requires permissions to perform the rekognition:ListTagsForResource // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListTagsForResource for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) ListTagsForResource(input ListTagsForResourceInput) (ListTagsForResourceOutput, error) { req, out := c.ListTagsForResourceRequest(input) return out, req.Send() } // ListTagsForResourceWithContext is the same as ListTagsForResource with the addition of // the ability to pass a context and additional request options. // // See ListTagsForResource for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListTagsForResourceWithContext(ctx aws.Context, input ListTagsForResourceInput, opts ...request.Option) (ListTagsForResourceOutput, error) { req, out := c.ListTagsForResourceRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opListUsers = "ListUsers" // ListUsersRequest generates a "aws/request.Request" representing the // client's request for the ListUsers operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See ListUsers for more information on using the ListUsers // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the ListUsersRequest method. // req, resp := client.ListUsersRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) ListUsersRequest(input ListUsersInput) (req request.Request, output ListUsersOutput) { op := &request.Operation{ Name: opListUsers, HTTPMethod: "POST", HTTPPath: "/", Paginator: &request.Paginator{ InputTokens: []string{"NextToken"}, OutputTokens: []string{"NextToken"}, LimitToken: "MaxResults", TruncationToken: "", }, } if input == nil { input = &ListUsersInput{} } output = &ListUsersOutput{} req = c.newRequest(op, input, output) return } // ListUsers API operation for Amazon Rekognition. // // Returns metadata of the User such as UserID in the specified collection. // Anonymous User (to reserve faces without any identity) is not returned as // part of this request. The results are sorted by system generated primary // key ID. If the response is truncated, NextToken is returned in the response // that can be used in the subsequent request to retrieve the next set of identities. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation ListUsers for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidPaginationTokenException // Pagination token in the request is not valid. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) ListUsers(input ListUsersInput) (ListUsersOutput, error) { req, out := c.ListUsersRequest(input) return out, req.Send() } // ListUsersWithContext is the same as ListUsers with the addition of // the ability to pass a context and additional request options. // // See ListUsers for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListUsersWithContext(ctx aws.Context, input ListUsersInput, opts ...request.Option) (ListUsersOutput, error) { req, out := c.ListUsersRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // ListUsersPages iterates over the pages of a ListUsers operation, // calling the "fn" function with the response data for each page. To stop // iterating, return false from the fn function. // // See ListUsers method for more information on how to use this operation. // // Note: This operation can generate multiple requests to a service. // // // Example iterating over at most 3 pages of a ListUsers operation. // pageNum := 0 // err := client.ListUsersPages(params, // func(page rekognition.ListUsersOutput, lastPage bool) bool { // pageNum++ // fmt.Println(page) // return pageNum <= 3 // }) func (c Rekognition) ListUsersPages(input ListUsersInput, fn func(ListUsersOutput, bool) bool) error { return c.ListUsersPagesWithContext(aws.BackgroundContext(), input, fn) } // ListUsersPagesWithContext same as ListUsersPages except // it takes a Context and allows setting request options on the pages. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) ListUsersPagesWithContext(ctx aws.Context, input ListUsersInput, fn func(ListUsersOutput, bool) bool, opts ...request.Option) error { p := request.Pagination{ NewRequest: func() (request.Request, error) { var inCpy ListUsersInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.ListUsersRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } for p.Next() { if !fn(p.Page().(ListUsersOutput), !p.HasNextPage()) { break } } return p.Err() } const opPutProjectPolicy = "PutProjectPolicy" // PutProjectPolicyRequest generates a "aws/request.Request" representing the // client's request for the PutProjectPolicy operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See PutProjectPolicy for more information on using the PutProjectPolicy // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the PutProjectPolicyRequest method. // req, resp := client.PutProjectPolicyRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) PutProjectPolicyRequest(input PutProjectPolicyInput) (req request.Request, output PutProjectPolicyOutput) { op := &request.Operation{ Name: opPutProjectPolicy, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &PutProjectPolicyInput{} } output = &PutProjectPolicyOutput{} req = c.newRequest(op, input, output) return } // PutProjectPolicy API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Attaches a project policy to a Amazon Rekognition Custom Labels project in // a trusting AWS account. A project policy specifies that a trusted AWS account // can copy a model version from a trusting AWS account to a project in the // trusted AWS account. To copy a model version you use the CopyProjectVersion // operation. Only applies to Custom Labels projects. // // For more information about the format of a project policy document, see Attaching // a project policy (SDK) in the Amazon Rekognition Custom Labels Developer // Guide. // // The response from PutProjectPolicy is a revision ID for the project policy. // You can attach multiple project policies to a project. You can also update // an existing project policy by specifying the policy revision ID of the existing // policy. // // To remove a project policy from a project, call DeleteProjectPolicy. To get // a list of project policies attached to a project, call ListProjectPolicies. // // You copy a model version by calling CopyProjectVersion. // // This operation requires permissions to perform the rekognition:PutProjectPolicy // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation PutProjectPolicy for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidPolicyRevisionIdException // The supplied revision id for the project policy is invalid. // // - MalformedPolicyDocumentException // The format of the project policy document that you supplied to PutProjectPolicy // is incorrect. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceAlreadyExistsException // A resource with the specified ID already exists. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. func (c Rekognition) PutProjectPolicy(input PutProjectPolicyInput) (PutProjectPolicyOutput, error) { req, out := c.PutProjectPolicyRequest(input) return out, req.Send() } // PutProjectPolicyWithContext is the same as PutProjectPolicy with the addition of // the ability to pass a context and additional request options. // // See PutProjectPolicy for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) PutProjectPolicyWithContext(ctx aws.Context, input PutProjectPolicyInput, opts ...request.Option) (PutProjectPolicyOutput, error) { req, out := c.PutProjectPolicyRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opRecognizeCelebrities = "RecognizeCelebrities" // RecognizeCelebritiesRequest generates a "aws/request.Request" representing the // client's request for the RecognizeCelebrities operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See RecognizeCelebrities for more information on using the RecognizeCelebrities // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the RecognizeCelebritiesRequest method. // req, resp := client.RecognizeCelebritiesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) RecognizeCelebritiesRequest(input RecognizeCelebritiesInput) (req request.Request, output RecognizeCelebritiesOutput) { op := &request.Operation{ Name: opRecognizeCelebrities, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &RecognizeCelebritiesInput{} } output = &RecognizeCelebritiesOutput{} req = c.newRequest(op, input, output) return } // RecognizeCelebrities API operation for Amazon Rekognition. // // Returns an array of celebrities recognized in the input image. For more information, // see Recognizing celebrities in the Amazon Rekognition Developer Guide. // // RecognizeCelebrities returns the 64 largest faces in the image. It lists // the recognized celebrities in the CelebrityFaces array and any unrecognized // faces in the UnrecognizedFaces array. RecognizeCelebrities doesn't return // celebrities whose faces aren't among the largest 64 faces in the image. // // For each celebrity recognized, RecognizeCelebrities returns a Celebrity object. // The Celebrity object contains the celebrity name, ID, URL links to additional // information, match confidence, and a ComparedFace object that you can use // to locate the celebrity's face on the image. // // Amazon Rekognition doesn't retain information about which images a celebrity // has been recognized in. Your application must store this information and // use the Celebrity ID property as a unique identifier for the celebrity. If // you don't store the celebrity name or additional information URLs returned // by RecognizeCelebrities, you will need the ID to identify the celebrity in // a call to the GetCelebrityInfo operation. // // You pass the input image either as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // For an example, see Recognizing celebrities in an image in the Amazon Rekognition // Developer Guide. // // This operation requires permissions to perform the rekognition:RecognizeCelebrities // operation. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation RecognizeCelebrities for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidImageFormatException // The provided image format is not supported. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) RecognizeCelebrities(input RecognizeCelebritiesInput) (RecognizeCelebritiesOutput, error) { req, out := c.RecognizeCelebritiesRequest(input) return out, req.Send() } // RecognizeCelebritiesWithContext is the same as RecognizeCelebrities with the addition of // the ability to pass a context and additional request options. // // See RecognizeCelebrities for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) RecognizeCelebritiesWithContext(ctx aws.Context, input RecognizeCelebritiesInput, opts ...request.Option) (RecognizeCelebritiesOutput, error) { req, out := c.RecognizeCelebritiesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opSearchFaces = "SearchFaces" // SearchFacesRequest generates a "aws/request.Request" representing the // client's request for the SearchFaces operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See SearchFaces for more information on using the SearchFaces // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the SearchFacesRequest method. // req, resp := client.SearchFacesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) SearchFacesRequest(input SearchFacesInput) (req request.Request, output SearchFacesOutput) { op := &request.Operation{ Name: opSearchFaces, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &SearchFacesInput{} } output = &SearchFacesOutput{} req = c.newRequest(op, input, output) return } // SearchFaces API operation for Amazon Rekognition. // // For a given input face ID, searches for matching faces in the collection // the face belongs to. You get a face ID when you add a face to the collection // using the IndexFaces operation. The operation compares the features of the // input face with faces in the specified collection. // // You can also search faces without indexing faces by using the SearchFacesByImage // operation. // // The operation response returns an array of faces that match, ordered by similarity // score with the highest similarity first. More specifically, it is an array // of metadata for each face match that is found. Along with the metadata, the // response also includes a confidence value for each face match, indicating // the confidence that the specific face matches the input face. // // For an example, see Searching for a face using its face ID in the Amazon // Rekognition Developer Guide. // // This operation requires permissions to perform the rekognition:SearchFaces // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation SearchFaces for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) SearchFaces(input SearchFacesInput) (SearchFacesOutput, error) { req, out := c.SearchFacesRequest(input) return out, req.Send() } // SearchFacesWithContext is the same as SearchFaces with the addition of // the ability to pass a context and additional request options. // // See SearchFaces for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) SearchFacesWithContext(ctx aws.Context, input SearchFacesInput, opts ...request.Option) (SearchFacesOutput, error) { req, out := c.SearchFacesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opSearchFacesByImage = "SearchFacesByImage" // SearchFacesByImageRequest generates a "aws/request.Request" representing the // client's request for the SearchFacesByImage operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See SearchFacesByImage for more information on using the SearchFacesByImage // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the SearchFacesByImageRequest method. // req, resp := client.SearchFacesByImageRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) SearchFacesByImageRequest(input SearchFacesByImageInput) (req request.Request, output SearchFacesByImageOutput) { op := &request.Operation{ Name: opSearchFacesByImage, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &SearchFacesByImageInput{} } output = &SearchFacesByImageOutput{} req = c.newRequest(op, input, output) return } // SearchFacesByImage API operation for Amazon Rekognition. // // For a given input image, first detects the largest face in the image, and // then searches the specified collection for matching faces. The operation // compares the features of the input face with faces in the specified collection. // // To search for all faces in an input image, you might first call the IndexFaces // operation, and then use the face IDs returned in subsequent calls to the // SearchFaces operation. // // You can also call the DetectFaces operation and use the bounding boxes in // the response to make face crops, which then you can pass in to the SearchFacesByImage // operation. // // You pass the input image either as base64-encoded image bytes or as a reference // to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon // Rekognition operations, passing image bytes is not supported. The image must // be either a PNG or JPEG formatted file. // // The response returns an array of faces that match, ordered by similarity // score with the highest similarity first. More specifically, it is an array // of metadata for each face match found. Along with the metadata, the response // also includes a similarity indicating how similar the face is to the input // face. In the response, the operation also returns the bounding box (and a // confidence level that the bounding box contains a face) of the face that // Amazon Rekognition used for the input image. // // If no faces are detected in the input image, SearchFacesByImage returns an // InvalidParameterException error. // // For an example, Searching for a Face Using an Image in the Amazon Rekognition // Developer Guide. // // The QualityFilter input parameter allows you to filter out detected faces // that don’t meet a required quality bar. The quality bar is based on a variety // of common use cases. Use QualityFilter to set the quality bar for filtering // by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected // faces, specify NONE. The default value is NONE. // // To use quality filtering, you need a collection associated with version 3 // of the face model or higher. To get the version of the face model associated // with a collection, call DescribeCollection. // // This operation requires permissions to perform the rekognition:SearchFacesByImage // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation SearchFacesByImage for usage and error information. // // Returned Error Types: // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidImageFormatException // The provided image format is not supported. func (c Rekognition) SearchFacesByImage(input SearchFacesByImageInput) (SearchFacesByImageOutput, error) { req, out := c.SearchFacesByImageRequest(input) return out, req.Send() } // SearchFacesByImageWithContext is the same as SearchFacesByImage with the addition of // the ability to pass a context and additional request options. // // See SearchFacesByImage for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) SearchFacesByImageWithContext(ctx aws.Context, input SearchFacesByImageInput, opts ...request.Option) (SearchFacesByImageOutput, error) { req, out := c.SearchFacesByImageRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opSearchUsers = "SearchUsers" // SearchUsersRequest generates a "aws/request.Request" representing the // client's request for the SearchUsers operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See SearchUsers for more information on using the SearchUsers // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the SearchUsersRequest method. // req, resp := client.SearchUsersRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) SearchUsersRequest(input SearchUsersInput) (req request.Request, output SearchUsersOutput) { op := &request.Operation{ Name: opSearchUsers, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &SearchUsersInput{} } output = &SearchUsersOutput{} req = c.newRequest(op, input, output) return } // SearchUsers API operation for Amazon Rekognition. // // Searches for UserIDs within a collection based on a FaceId or UserId. This // API can be used to find the closest UserID (with a highest similarity) to // associate a face. The request must be provided with either FaceId or UserId. // The operation returns an array of UserID that match the FaceId or UserId, // ordered by similarity score with the highest similarity first. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation SearchUsers for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) SearchUsers(input SearchUsersInput) (SearchUsersOutput, error) { req, out := c.SearchUsersRequest(input) return out, req.Send() } // SearchUsersWithContext is the same as SearchUsers with the addition of // the ability to pass a context and additional request options. // // See SearchUsers for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) SearchUsersWithContext(ctx aws.Context, input SearchUsersInput, opts ...request.Option) (SearchUsersOutput, error) { req, out := c.SearchUsersRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opSearchUsersByImage = "SearchUsersByImage" // SearchUsersByImageRequest generates a "aws/request.Request" representing the // client's request for the SearchUsersByImage operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See SearchUsersByImage for more information on using the SearchUsersByImage // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the SearchUsersByImageRequest method. // req, resp := client.SearchUsersByImageRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) SearchUsersByImageRequest(input SearchUsersByImageInput) (req request.Request, output SearchUsersByImageOutput) { op := &request.Operation{ Name: opSearchUsersByImage, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &SearchUsersByImageInput{} } output = &SearchUsersByImageOutput{} req = c.newRequest(op, input, output) return } // SearchUsersByImage API operation for Amazon Rekognition. // // Searches for UserIDs using a supplied image. It first detects the largest // face in the image, and then searches a specified collection for matching // UserIDs. // // The operation returns an array of UserIDs that match the face in the supplied // image, ordered by similarity score with the highest similarity first. It // also returns a bounding box for the face found in the input image. // // Information about faces detected in the supplied image, but not used for // the search, is returned in an array of UnsearchedFace objects. If no valid // face is detected in the image, the response will contain an empty UserMatches // list and no SearchedFace object. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation SearchUsersByImage for usage and error information. // // Returned Error Types: // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidImageFormatException // The provided image format is not supported. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - ImageTooLargeException // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) SearchUsersByImage(input SearchUsersByImageInput) (SearchUsersByImageOutput, error) { req, out := c.SearchUsersByImageRequest(input) return out, req.Send() } // SearchUsersByImageWithContext is the same as SearchUsersByImage with the addition of // the ability to pass a context and additional request options. // // See SearchUsersByImage for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) SearchUsersByImageWithContext(ctx aws.Context, input SearchUsersByImageInput, opts ...request.Option) (SearchUsersByImageOutput, error) { req, out := c.SearchUsersByImageRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartCelebrityRecognition = "StartCelebrityRecognition" // StartCelebrityRecognitionRequest generates a "aws/request.Request" representing the // client's request for the StartCelebrityRecognition operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartCelebrityRecognition for more information on using the StartCelebrityRecognition // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartCelebrityRecognitionRequest method. // req, resp := client.StartCelebrityRecognitionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartCelebrityRecognitionRequest(input StartCelebrityRecognitionInput) (req request.Request, output StartCelebrityRecognitionOutput) { op := &request.Operation{ Name: opStartCelebrityRecognition, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartCelebrityRecognitionInput{} } output = &StartCelebrityRecognitionOutput{} req = c.newRequest(op, input, output) return } // StartCelebrityRecognition API operation for Amazon Rekognition. // // Starts asynchronous recognition of celebrities in a stored video. // // Amazon Rekognition Video can detect celebrities in a video must be stored // in an Amazon S3 bucket. Use Video to specify the bucket name and the filename // of the video. StartCelebrityRecognition returns a job identifier (JobId) // which you use to get the results of the analysis. When celebrity recognition // analysis is finished, Amazon Rekognition Video publishes a completion status // to the Amazon Simple Notification Service topic that you specify in NotificationChannel. // To get the results of the celebrity recognition analysis, first check that // the status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetCelebrityRecognition and pass the job identifier (JobId) from the initial // call to StartCelebrityRecognition. // // For more information, see Recognizing celebrities in the Amazon Rekognition // Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartCelebrityRecognition for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartCelebrityRecognition(input StartCelebrityRecognitionInput) (StartCelebrityRecognitionOutput, error) { req, out := c.StartCelebrityRecognitionRequest(input) return out, req.Send() } // StartCelebrityRecognitionWithContext is the same as StartCelebrityRecognition with the addition of // the ability to pass a context and additional request options. // // See StartCelebrityRecognition for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartCelebrityRecognitionWithContext(ctx aws.Context, input StartCelebrityRecognitionInput, opts ...request.Option) (StartCelebrityRecognitionOutput, error) { req, out := c.StartCelebrityRecognitionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartContentModeration = "StartContentModeration" // StartContentModerationRequest generates a "aws/request.Request" representing the // client's request for the StartContentModeration operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartContentModeration for more information on using the StartContentModeration // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartContentModerationRequest method. // req, resp := client.StartContentModerationRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartContentModerationRequest(input StartContentModerationInput) (req request.Request, output StartContentModerationOutput) { op := &request.Operation{ Name: opStartContentModeration, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartContentModerationInput{} } output = &StartContentModerationOutput{} req = c.newRequest(op, input, output) return } // StartContentModeration API operation for Amazon Rekognition. // // Starts asynchronous detection of inappropriate, unwanted, or offensive content // in a stored video. For a list of moderation labels in Amazon Rekognition, // see Using the image and video moderation APIs (https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api). // // Amazon Rekognition Video can moderate content in a video stored in an Amazon // S3 bucket. Use Video to specify the bucket name and the filename of the video. // StartContentModeration returns a job identifier (JobId) which you use to // get the results of the analysis. When content analysis is finished, Amazon // Rekognition Video publishes a completion status to the Amazon Simple Notification // Service topic that you specify in NotificationChannel. // // To get the results of the content analysis, first check that the status value // published to the Amazon SNS topic is SUCCEEDED. If so, call GetContentModeration // and pass the job identifier (JobId) from the initial call to StartContentModeration. // // For more information, see Moderating content in the Amazon Rekognition Developer // Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartContentModeration for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartContentModeration(input StartContentModerationInput) (StartContentModerationOutput, error) { req, out := c.StartContentModerationRequest(input) return out, req.Send() } // StartContentModerationWithContext is the same as StartContentModeration with the addition of // the ability to pass a context and additional request options. // // See StartContentModeration for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartContentModerationWithContext(ctx aws.Context, input StartContentModerationInput, opts ...request.Option) (StartContentModerationOutput, error) { req, out := c.StartContentModerationRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartFaceDetection = "StartFaceDetection" // StartFaceDetectionRequest generates a "aws/request.Request" representing the // client's request for the StartFaceDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartFaceDetection for more information on using the StartFaceDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartFaceDetectionRequest method. // req, resp := client.StartFaceDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartFaceDetectionRequest(input StartFaceDetectionInput) (req request.Request, output StartFaceDetectionOutput) { op := &request.Operation{ Name: opStartFaceDetection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartFaceDetectionInput{} } output = &StartFaceDetectionOutput{} req = c.newRequest(op, input, output) return } // StartFaceDetection API operation for Amazon Rekognition. // // Starts asynchronous detection of faces in a stored video. // // Amazon Rekognition Video can detect faces in a video stored in an Amazon // S3 bucket. Use Video to specify the bucket name and the filename of the video. // StartFaceDetection returns a job identifier (JobId) that you use to get the // results of the operation. When face detection is finished, Amazon Rekognition // Video publishes a completion status to the Amazon Simple Notification Service // topic that you specify in NotificationChannel. To get the results of the // face detection operation, first check that the status value published to // the Amazon SNS topic is SUCCEEDED. If so, call GetFaceDetection and pass // the job identifier (JobId) from the initial call to StartFaceDetection. // // For more information, see Detecting faces in a stored video in the Amazon // Rekognition Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartFaceDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartFaceDetection(input StartFaceDetectionInput) (StartFaceDetectionOutput, error) { req, out := c.StartFaceDetectionRequest(input) return out, req.Send() } // StartFaceDetectionWithContext is the same as StartFaceDetection with the addition of // the ability to pass a context and additional request options. // // See StartFaceDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartFaceDetectionWithContext(ctx aws.Context, input StartFaceDetectionInput, opts ...request.Option) (StartFaceDetectionOutput, error) { req, out := c.StartFaceDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartFaceSearch = "StartFaceSearch" // StartFaceSearchRequest generates a "aws/request.Request" representing the // client's request for the StartFaceSearch operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartFaceSearch for more information on using the StartFaceSearch // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartFaceSearchRequest method. // req, resp := client.StartFaceSearchRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartFaceSearchRequest(input StartFaceSearchInput) (req request.Request, output StartFaceSearchOutput) { op := &request.Operation{ Name: opStartFaceSearch, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartFaceSearchInput{} } output = &StartFaceSearchOutput{} req = c.newRequest(op, input, output) return } // StartFaceSearch API operation for Amazon Rekognition. // // Starts the asynchronous search for faces in a collection that match the faces // of persons detected in a stored video. // // The video must be stored in an Amazon S3 bucket. Use Video to specify the // bucket name and the filename of the video. StartFaceSearch returns a job // identifier (JobId) which you use to get the search results once the search // has completed. When searching is finished, Amazon Rekognition Video publishes // a completion status to the Amazon Simple Notification Service topic that // you specify in NotificationChannel. To get the search results, first check // that the status value published to the Amazon SNS topic is SUCCEEDED. If // so, call GetFaceSearch and pass the job identifier (JobId) from the initial // call to StartFaceSearch. For more information, see Searching stored videos // for faces (https://docs.aws.amazon.com/rekognition/latest/dg/procedure-person-search-videos.html). // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartFaceSearch for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartFaceSearch(input StartFaceSearchInput) (StartFaceSearchOutput, error) { req, out := c.StartFaceSearchRequest(input) return out, req.Send() } // StartFaceSearchWithContext is the same as StartFaceSearch with the addition of // the ability to pass a context and additional request options. // // See StartFaceSearch for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartFaceSearchWithContext(ctx aws.Context, input StartFaceSearchInput, opts ...request.Option) (StartFaceSearchOutput, error) { req, out := c.StartFaceSearchRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartLabelDetection = "StartLabelDetection" // StartLabelDetectionRequest generates a "aws/request.Request" representing the // client's request for the StartLabelDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartLabelDetection for more information on using the StartLabelDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartLabelDetectionRequest method. // req, resp := client.StartLabelDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartLabelDetectionRequest(input StartLabelDetectionInput) (req request.Request, output StartLabelDetectionOutput) { op := &request.Operation{ Name: opStartLabelDetection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartLabelDetectionInput{} } output = &StartLabelDetectionOutput{} req = c.newRequest(op, input, output) return } // StartLabelDetection API operation for Amazon Rekognition. // // Starts asynchronous detection of labels in a stored video. // // Amazon Rekognition Video can detect labels in a video. Labels are instances // of real-world entities. This includes objects like flower, tree, and table; // events like wedding, graduation, and birthday party; concepts like landscape, // evening, and nature; and activities like a person getting out of a car or // a person skiing. // // The video must be stored in an Amazon S3 bucket. Use Video to specify the // bucket name and the filename of the video. StartLabelDetection returns a // job identifier (JobId) which you use to get the results of the operation. // When label detection is finished, Amazon Rekognition Video publishes a completion // status to the Amazon Simple Notification Service topic that you specify in // NotificationChannel. // // To get the results of the label detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetLabelDetection and pass the job identifier (JobId) from the initial call // to StartLabelDetection. // // # Optional Parameters // // StartLabelDetection has the GENERAL_LABELS Feature applied by default. This // feature allows you to provide filtering criteria to the Settings parameter. // You can filter with sets of individual labels or with label categories. You // can specify inclusive filters, exclusive filters, or a combination of inclusive // and exclusive filters. For more information on filtering, see Detecting labels // in a video (https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html). // // You can specify MinConfidence to control the confidence threshold for the // labels returned. The default is 50. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartLabelDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartLabelDetection(input StartLabelDetectionInput) (StartLabelDetectionOutput, error) { req, out := c.StartLabelDetectionRequest(input) return out, req.Send() } // StartLabelDetectionWithContext is the same as StartLabelDetection with the addition of // the ability to pass a context and additional request options. // // See StartLabelDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartLabelDetectionWithContext(ctx aws.Context, input StartLabelDetectionInput, opts ...request.Option) (StartLabelDetectionOutput, error) { req, out := c.StartLabelDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartMediaAnalysisJob = "StartMediaAnalysisJob" // StartMediaAnalysisJobRequest generates a "aws/request.Request" representing the // client's request for the StartMediaAnalysisJob operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartMediaAnalysisJob for more information on using the StartMediaAnalysisJob // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartMediaAnalysisJobRequest method. // req, resp := client.StartMediaAnalysisJobRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartMediaAnalysisJobRequest(input StartMediaAnalysisJobInput) (req request.Request, output StartMediaAnalysisJobOutput) { op := &request.Operation{ Name: opStartMediaAnalysisJob, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartMediaAnalysisJobInput{} } output = &StartMediaAnalysisJobOutput{} req = c.newRequest(op, input, output) return } // StartMediaAnalysisJob API operation for Amazon Rekognition. // // Initiates a new media analysis job. Accepts a manifest file in an Amazon // S3 bucket. The output is a manifest file and a summary of the manifest stored // in the Amazon S3 bucket. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartMediaAnalysisJob for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidManifestException // Indicates that a provided manifest file is empty or larger than the allowed // limit. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceNotReadyException // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. func (c Rekognition) StartMediaAnalysisJob(input StartMediaAnalysisJobInput) (StartMediaAnalysisJobOutput, error) { req, out := c.StartMediaAnalysisJobRequest(input) return out, req.Send() } // StartMediaAnalysisJobWithContext is the same as StartMediaAnalysisJob with the addition of // the ability to pass a context and additional request options. // // See StartMediaAnalysisJob for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartMediaAnalysisJobWithContext(ctx aws.Context, input StartMediaAnalysisJobInput, opts ...request.Option) (StartMediaAnalysisJobOutput, error) { req, out := c.StartMediaAnalysisJobRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartPersonTracking = "StartPersonTracking" // StartPersonTrackingRequest generates a "aws/request.Request" representing the // client's request for the StartPersonTracking operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartPersonTracking for more information on using the StartPersonTracking // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartPersonTrackingRequest method. // req, resp := client.StartPersonTrackingRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartPersonTrackingRequest(input StartPersonTrackingInput) (req request.Request, output StartPersonTrackingOutput) { op := &request.Operation{ Name: opStartPersonTracking, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartPersonTrackingInput{} } output = &StartPersonTrackingOutput{} req = c.newRequest(op, input, output) return } // StartPersonTracking API operation for Amazon Rekognition. // // Starts the asynchronous tracking of a person's path in a stored video. // // Amazon Rekognition Video can track the path of people in a video stored in // an Amazon S3 bucket. Use Video to specify the bucket name and the filename // of the video. StartPersonTracking returns a job identifier (JobId) which // you use to get the results of the operation. When label detection is finished, // Amazon Rekognition publishes a completion status to the Amazon Simple Notification // Service topic that you specify in NotificationChannel. // // To get the results of the person detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. If so, call // GetPersonTracking and pass the job identifier (JobId) from the initial call // to StartPersonTracking. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartPersonTracking for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartPersonTracking(input StartPersonTrackingInput) (StartPersonTrackingOutput, error) { req, out := c.StartPersonTrackingRequest(input) return out, req.Send() } // StartPersonTrackingWithContext is the same as StartPersonTracking with the addition of // the ability to pass a context and additional request options. // // See StartPersonTracking for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartPersonTrackingWithContext(ctx aws.Context, input StartPersonTrackingInput, opts ...request.Option) (StartPersonTrackingOutput, error) { req, out := c.StartPersonTrackingRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartProjectVersion = "StartProjectVersion" // StartProjectVersionRequest generates a "aws/request.Request" representing the // client's request for the StartProjectVersion operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartProjectVersion for more information on using the StartProjectVersion // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartProjectVersionRequest method. // req, resp := client.StartProjectVersionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartProjectVersionRequest(input StartProjectVersionInput) (req request.Request, output StartProjectVersionOutput) { op := &request.Operation{ Name: opStartProjectVersion, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartProjectVersionInput{} } output = &StartProjectVersionOutput{} req = c.newRequest(op, input, output) return } // StartProjectVersion API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Starts the running of the version of a model. Starting a model takes a while // to complete. To check the current state of the model, use DescribeProjectVersions. // // Once the model is running, you can detect custom labels in new images by // calling DetectCustomLabels. // // You are charged for the amount of time that the model is running. To stop // a running model, call StopProjectVersion. // // This operation requires permissions to perform the rekognition:StartProjectVersion // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartProjectVersion for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) StartProjectVersion(input StartProjectVersionInput) (StartProjectVersionOutput, error) { req, out := c.StartProjectVersionRequest(input) return out, req.Send() } // StartProjectVersionWithContext is the same as StartProjectVersion with the addition of // the ability to pass a context and additional request options. // // See StartProjectVersion for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartProjectVersionWithContext(ctx aws.Context, input StartProjectVersionInput, opts ...request.Option) (StartProjectVersionOutput, error) { req, out := c.StartProjectVersionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartSegmentDetection = "StartSegmentDetection" // StartSegmentDetectionRequest generates a "aws/request.Request" representing the // client's request for the StartSegmentDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartSegmentDetection for more information on using the StartSegmentDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartSegmentDetectionRequest method. // req, resp := client.StartSegmentDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartSegmentDetectionRequest(input StartSegmentDetectionInput) (req request.Request, output StartSegmentDetectionOutput) { op := &request.Operation{ Name: opStartSegmentDetection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartSegmentDetectionInput{} } output = &StartSegmentDetectionOutput{} req = c.newRequest(op, input, output) return } // StartSegmentDetection API operation for Amazon Rekognition. // // Starts asynchronous detection of segment detection in a stored video. // // Amazon Rekognition Video can detect segments in a video stored in an Amazon // S3 bucket. Use Video to specify the bucket name and the filename of the video. // StartSegmentDetection returns a job identifier (JobId) which you use to get // the results of the operation. When segment detection is finished, Amazon // Rekognition Video publishes a completion status to the Amazon Simple Notification // Service topic that you specify in NotificationChannel. // // You can use the Filters (StartSegmentDetectionFilters) input parameter to // specify the minimum detection confidence returned in the response. Within // Filters, use ShotFilter (StartShotDetectionFilter) to filter detected shots. // Use TechnicalCueFilter (StartTechnicalCueDetectionFilter) to filter technical // cues. // // To get the results of the segment detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. if so, call // GetSegmentDetection and pass the job identifier (JobId) from the initial // call to StartSegmentDetection. // // For more information, see Detecting video segments in stored video in the // Amazon Rekognition Developer Guide. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartSegmentDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartSegmentDetection(input StartSegmentDetectionInput) (StartSegmentDetectionOutput, error) { req, out := c.StartSegmentDetectionRequest(input) return out, req.Send() } // StartSegmentDetectionWithContext is the same as StartSegmentDetection with the addition of // the ability to pass a context and additional request options. // // See StartSegmentDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartSegmentDetectionWithContext(ctx aws.Context, input StartSegmentDetectionInput, opts ...request.Option) (StartSegmentDetectionOutput, error) { req, out := c.StartSegmentDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartStreamProcessor = "StartStreamProcessor" // StartStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the StartStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartStreamProcessor for more information on using the StartStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartStreamProcessorRequest method. // req, resp := client.StartStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartStreamProcessorRequest(input StartStreamProcessorInput) (req request.Request, output StartStreamProcessorOutput) { op := &request.Operation{ Name: opStartStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartStreamProcessorInput{} } output = &StartStreamProcessorOutput{} req = c.newRequest(op, input, output) return } // StartStreamProcessor API operation for Amazon Rekognition. // // Starts processing a stream processor. You create a stream processor by calling // CreateStreamProcessor. To tell StartStreamProcessor which stream processor // to start, use the value of the Name field specified in the call to CreateStreamProcessor. // // If you are using a label detection stream processor to detect labels, you // need to provide a Start selector and a Stop selector to determine the length // of the stream processing time. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) StartStreamProcessor(input StartStreamProcessorInput) (StartStreamProcessorOutput, error) { req, out := c.StartStreamProcessorRequest(input) return out, req.Send() } // StartStreamProcessorWithContext is the same as StartStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See StartStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartStreamProcessorWithContext(ctx aws.Context, input StartStreamProcessorInput, opts ...request.Option) (StartStreamProcessorOutput, error) { req, out := c.StartStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStartTextDetection = "StartTextDetection" // StartTextDetectionRequest generates a "aws/request.Request" representing the // client's request for the StartTextDetection operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StartTextDetection for more information on using the StartTextDetection // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StartTextDetectionRequest method. // req, resp := client.StartTextDetectionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StartTextDetectionRequest(input StartTextDetectionInput) (req request.Request, output StartTextDetectionOutput) { op := &request.Operation{ Name: opStartTextDetection, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StartTextDetectionInput{} } output = &StartTextDetectionOutput{} req = c.newRequest(op, input, output) return } // StartTextDetection API operation for Amazon Rekognition. // // Starts asynchronous detection of text in a stored video. // // Amazon Rekognition Video can detect text in a video stored in an Amazon S3 // bucket. Use Video to specify the bucket name and the filename of the video. // StartTextDetection returns a job identifier (JobId) which you use to get // the results of the operation. When text detection is finished, Amazon Rekognition // Video publishes a completion status to the Amazon Simple Notification Service // topic that you specify in NotificationChannel. // // To get the results of the text detection operation, first check that the // status value published to the Amazon SNS topic is SUCCEEDED. if so, call // GetTextDetection and pass the job identifier (JobId) from the initial call // to StartTextDetection. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StartTextDetection for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - IdempotentParameterMismatchException // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - InvalidS3ObjectException // Amazon Rekognition is unable to access the S3 object specified in the request. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - VideoTooLargeException // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. func (c Rekognition) StartTextDetection(input StartTextDetectionInput) (StartTextDetectionOutput, error) { req, out := c.StartTextDetectionRequest(input) return out, req.Send() } // StartTextDetectionWithContext is the same as StartTextDetection with the addition of // the ability to pass a context and additional request options. // // See StartTextDetection for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StartTextDetectionWithContext(ctx aws.Context, input StartTextDetectionInput, opts ...request.Option) (StartTextDetectionOutput, error) { req, out := c.StartTextDetectionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStopProjectVersion = "StopProjectVersion" // StopProjectVersionRequest generates a "aws/request.Request" representing the // client's request for the StopProjectVersion operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StopProjectVersion for more information on using the StopProjectVersion // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StopProjectVersionRequest method. // req, resp := client.StopProjectVersionRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StopProjectVersionRequest(input StopProjectVersionInput) (req request.Request, output StopProjectVersionOutput) { op := &request.Operation{ Name: opStopProjectVersion, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StopProjectVersionInput{} } output = &StopProjectVersionOutput{} req = c.newRequest(op, input, output) return } // StopProjectVersion API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Stops a running model. The operation might take a while to complete. To check // the current status, call DescribeProjectVersions. Only applies to Custom // Labels projects. // // This operation requires permissions to perform the rekognition:StopProjectVersion // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StopProjectVersion for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) StopProjectVersion(input StopProjectVersionInput) (StopProjectVersionOutput, error) { req, out := c.StopProjectVersionRequest(input) return out, req.Send() } // StopProjectVersionWithContext is the same as StopProjectVersion with the addition of // the ability to pass a context and additional request options. // // See StopProjectVersion for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StopProjectVersionWithContext(ctx aws.Context, input StopProjectVersionInput, opts ...request.Option) (StopProjectVersionOutput, error) { req, out := c.StopProjectVersionRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opStopStreamProcessor = "StopStreamProcessor" // StopStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the StopStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See StopStreamProcessor for more information on using the StopStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the StopStreamProcessorRequest method. // req, resp := client.StopStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) StopStreamProcessorRequest(input StopStreamProcessorInput) (req request.Request, output StopStreamProcessorOutput) { op := &request.Operation{ Name: opStopStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &StopStreamProcessorInput{} } output = &StopStreamProcessorOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // StopStreamProcessor API operation for Amazon Rekognition. // // Stops a running stream processor that was created by CreateStreamProcessor. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation StopStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ResourceInUseException // The specified resource is already being used. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) StopStreamProcessor(input StopStreamProcessorInput) (StopStreamProcessorOutput, error) { req, out := c.StopStreamProcessorRequest(input) return out, req.Send() } // StopStreamProcessorWithContext is the same as StopStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See StopStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) StopStreamProcessorWithContext(ctx aws.Context, input StopStreamProcessorInput, opts ...request.Option) (StopStreamProcessorOutput, error) { req, out := c.StopStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opTagResource = "TagResource" // TagResourceRequest generates a "aws/request.Request" representing the // client's request for the TagResource operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See TagResource for more information on using the TagResource // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the TagResourceRequest method. // req, resp := client.TagResourceRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) TagResourceRequest(input TagResourceInput) (req request.Request, output TagResourceOutput) { op := &request.Operation{ Name: opTagResource, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &TagResourceInput{} } output = &TagResourceOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // TagResource API operation for Amazon Rekognition. // // Adds one or more key-value tags to an Amazon Rekognition collection, stream // processor, or Custom Labels model. For more information, see Tagging AWS // Resources (https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html). // // This operation requires permissions to perform the rekognition:TagResource // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation TagResource for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ServiceQuotaExceededException // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) TagResource(input TagResourceInput) (TagResourceOutput, error) { req, out := c.TagResourceRequest(input) return out, req.Send() } // TagResourceWithContext is the same as TagResource with the addition of // the ability to pass a context and additional request options. // // See TagResource for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) TagResourceWithContext(ctx aws.Context, input TagResourceInput, opts ...request.Option) (TagResourceOutput, error) { req, out := c.TagResourceRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opUntagResource = "UntagResource" // UntagResourceRequest generates a "aws/request.Request" representing the // client's request for the UntagResource operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See UntagResource for more information on using the UntagResource // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the UntagResourceRequest method. // req, resp := client.UntagResourceRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) UntagResourceRequest(input UntagResourceInput) (req request.Request, output UntagResourceOutput) { op := &request.Operation{ Name: opUntagResource, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &UntagResourceInput{} } output = &UntagResourceOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // UntagResource API operation for Amazon Rekognition. // // Removes one or more tags from an Amazon Rekognition collection, stream processor, // or Custom Labels model. // // This operation requires permissions to perform the rekognition:UntagResource // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation UntagResource for usage and error information. // // Returned Error Types: // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. func (c Rekognition) UntagResource(input UntagResourceInput) (UntagResourceOutput, error) { req, out := c.UntagResourceRequest(input) return out, req.Send() } // UntagResourceWithContext is the same as UntagResource with the addition of // the ability to pass a context and additional request options. // // See UntagResource for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) UntagResourceWithContext(ctx aws.Context, input UntagResourceInput, opts ...request.Option) (UntagResourceOutput, error) { req, out := c.UntagResourceRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opUpdateDatasetEntries = "UpdateDatasetEntries" // UpdateDatasetEntriesRequest generates a "aws/request.Request" representing the // client's request for the UpdateDatasetEntries operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See UpdateDatasetEntries for more information on using the UpdateDatasetEntries // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the UpdateDatasetEntriesRequest method. // req, resp := client.UpdateDatasetEntriesRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) UpdateDatasetEntriesRequest(input UpdateDatasetEntriesInput) (req request.Request, output UpdateDatasetEntriesOutput) { op := &request.Operation{ Name: opUpdateDatasetEntries, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &UpdateDatasetEntriesInput{} } output = &UpdateDatasetEntriesOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // UpdateDatasetEntries API operation for Amazon Rekognition. // // This operation applies only to Amazon Rekognition Custom Labels. // // Adds or updates one or more entries (images) in a dataset. An entry is a // JSON Line which contains the information for a single image, including the // image location, assigned labels, and object location bounding boxes. For // more information, see Image-Level labels in manifest files and Object localization // in manifest files in the Amazon Rekognition Custom Labels Developer Guide. // // If the source-ref field in the JSON line references an existing image, the // existing image in the dataset is updated. If source-ref field doesn't reference // an existing image, the image is added as a new image to the dataset. // // You specify the changes that you want to make in the Changes input parameter. // There isn't a limit to the number JSON Lines that you can change, but the // size of Changes must be less than 5MB. // // UpdateDatasetEntries returns immediatly, but the dataset update might take // a while to complete. Use DescribeDataset to check the current status. The // dataset updated successfully if the value of Status is UPDATE_COMPLETE. // // To check if any non-terminal errors occured, call ListDatasetEntries and // check for the presence of errors lists in the JSON Lines. // // Dataset update fails if a terminal error occurs (Status = UPDATE_FAILED). // Currently, you can't access the terminal error information from the Amazon // Rekognition Custom Labels SDK. // // This operation requires permissions to perform the rekognition:UpdateDatasetEntries // action. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation UpdateDatasetEntries for usage and error information. // // Returned Error Types: // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - AccessDeniedException // You are not authorized to perform the action. // // - LimitExceededException // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. // // - ResourceInUseException // The specified resource is already being used. // // - ResourceNotFoundException // The resource specified in the request cannot be found. func (c Rekognition) UpdateDatasetEntries(input UpdateDatasetEntriesInput) (UpdateDatasetEntriesOutput, error) { req, out := c.UpdateDatasetEntriesRequest(input) return out, req.Send() } // UpdateDatasetEntriesWithContext is the same as UpdateDatasetEntries with the addition of // the ability to pass a context and additional request options. // // See UpdateDatasetEntries for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) UpdateDatasetEntriesWithContext(ctx aws.Context, input UpdateDatasetEntriesInput, opts ...request.Option) (UpdateDatasetEntriesOutput, error) { req, out := c.UpdateDatasetEntriesRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } const opUpdateStreamProcessor = "UpdateStreamProcessor" // UpdateStreamProcessorRequest generates a "aws/request.Request" representing the // client's request for the UpdateStreamProcessor operation. The "output" return // value will be populated with the request's response once the request completes // successfully. // // Use "Send" method on the returned Request to send the API call to the service. // the "output" return value is not valid until after Send returns without error. // // See UpdateStreamProcessor for more information on using the UpdateStreamProcessor // API call, and error handling. // // This method is useful when you want to inject custom logic or configuration // into the SDK's request lifecycle. Such as custom headers, or retry logic. // // // Example sending a request using the UpdateStreamProcessorRequest method. // req, resp := client.UpdateStreamProcessorRequest(params) // // err := req.Send() // if err == nil { // resp is now filled // fmt.Println(resp) // } func (c Rekognition) UpdateStreamProcessorRequest(input UpdateStreamProcessorInput) (req request.Request, output UpdateStreamProcessorOutput) { op := &request.Operation{ Name: opUpdateStreamProcessor, HTTPMethod: "POST", HTTPPath: "/", } if input == nil { input = &UpdateStreamProcessorInput{} } output = &UpdateStreamProcessorOutput{} req = c.newRequest(op, input, output) req.Handlers.Unmarshal.Swap(jsonrpc.UnmarshalHandler.Name, protocol.UnmarshalDiscardBodyHandler) return } // UpdateStreamProcessor API operation for Amazon Rekognition. // // Allows you to update a stream processor. You can change some settings and // regions of interest and delete certain parameters. // // Returns awserr.Error for service API and SDK errors. Use runtime type assertions // with awserr.Error's Code and Message methods to get detailed information about // the error. // // See the AWS API reference guide for Amazon Rekognition's // API operation UpdateStreamProcessor for usage and error information. // // Returned Error Types: // // - AccessDeniedException // You are not authorized to perform the action. // // - InternalServerError // Amazon Rekognition experienced a service issue. Try your call again. // // - ThrottlingException // Amazon Rekognition is temporarily unable to process the request. Try your // call again. // // - InvalidParameterException // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. // // - ResourceNotFoundException // The resource specified in the request cannot be found. // // - ProvisionedThroughputExceededException // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. // // - ResourceInUseException // The specified resource is already being used. func (c Rekognition) UpdateStreamProcessor(input UpdateStreamProcessorInput) (UpdateStreamProcessorOutput, error) { req, out := c.UpdateStreamProcessorRequest(input) return out, req.Send() } // UpdateStreamProcessorWithContext is the same as UpdateStreamProcessor with the addition of // the ability to pass a context and additional request options. // // See UpdateStreamProcessor for details on how to use this API operation. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) UpdateStreamProcessorWithContext(ctx aws.Context, input UpdateStreamProcessorInput, opts ...request.Option) (UpdateStreamProcessorOutput, error) { req, out := c.UpdateStreamProcessorRequest(input) req.SetContext(ctx) req.ApplyOptions(opts...) return out, req.Send() } // You are not authorized to perform the action. type AccessDeniedException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AccessDeniedException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AccessDeniedException) GoString() string { return s.String() } func newErrorAccessDeniedException(v protocol.ResponseMetadata) error { return &AccessDeniedException{ RespMetadata: v, } } // Code returns the exception type name. func (s AccessDeniedException) Code() string { return "AccessDeniedException" } // Message returns the exception's message. func (s AccessDeniedException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s AccessDeniedException) OrigErr() error { return nil } func (s AccessDeniedException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s AccessDeniedException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s AccessDeniedException) RequestID() string { return s.RespMetadata.RequestID } // Structure containing the estimated age range, in years, for a face. // // Amazon Rekognition estimates an age range for faces detected in the input // image. Estimated age ranges can overlap. A face of a 5-year-old might have // an estimated range of 4-6, while the face of a 6-year-old might have an estimated // range of 4-8. type AgeRange struct { _ struct{} `type:"structure"` // The highest estimated age. High int64 `type:"integer"` // The lowest estimated age. Low int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AgeRange) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AgeRange) GoString() string { return s.String() } // SetHigh sets the High field's value. func (s AgeRange) SetHigh(v int64) AgeRange { s.High = &v return s } // SetLow sets the Low field's value. func (s AgeRange) SetLow(v int64) AgeRange { s.Low = &v return s } // Assets are the images that you use to train and evaluate a model version. // Assets can also contain validation information that you use to debug a failed // model training. type Asset struct { _ struct{} `type:"structure"` // The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest // file. GroundTruthManifest GroundTruthManifest `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Asset) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Asset) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s Asset) Validate() error { invalidParams := request.ErrInvalidParams{Context: "Asset"} if s.GroundTruthManifest != nil { if err := s.GroundTruthManifest.Validate(); err != nil { invalidParams.AddNested("GroundTruthManifest", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetGroundTruthManifest sets the GroundTruthManifest field's value. func (s Asset) SetGroundTruthManifest(v GroundTruthManifest) Asset { s.GroundTruthManifest = v return s } type AssociateFacesInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the request to AssociateFaces. If you use // the same token with multiple AssociateFaces requests, the same response is // returned. Use ClientRequestToken to prevent the same request from being processed // more than once. ClientRequestToken string `min:"1" type:"string" idempotencyToken:"true"` // The ID of an existing collection containing the UserID. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // An array of FaceIDs to associate with the UserID. // // FaceIds is a required field FaceIds []string `min:"1" type:"list" required:"true"` // The ID for the existing UserID. // // UserId is a required field UserId string `min:"1" type:"string" required:"true"` // An optional value specifying the minimum confidence in the UserID match to // return. The default value is 75. UserMatchThreshold float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociateFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociateFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s AssociateFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "AssociateFacesInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.FaceIds == nil { invalidParams.Add(request.NewErrParamRequired("FaceIds")) } if s.FaceIds != nil && len(s.FaceIds) < 1 { invalidParams.Add(request.NewErrParamMinLen("FaceIds", 1)) } if s.UserId == nil { invalidParams.Add(request.NewErrParamRequired("UserId")) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s AssociateFacesInput) SetClientRequestToken(v string) AssociateFacesInput { s.ClientRequestToken = &v return s } // SetCollectionId sets the CollectionId field's value. func (s AssociateFacesInput) SetCollectionId(v string) AssociateFacesInput { s.CollectionId = &v return s } // SetFaceIds sets the FaceIds field's value. func (s AssociateFacesInput) SetFaceIds(v []string) AssociateFacesInput { s.FaceIds = v return s } // SetUserId sets the UserId field's value. func (s AssociateFacesInput) SetUserId(v string) AssociateFacesInput { s.UserId = &v return s } // SetUserMatchThreshold sets the UserMatchThreshold field's value. func (s AssociateFacesInput) SetUserMatchThreshold(v float64) AssociateFacesInput { s.UserMatchThreshold = &v return s } type AssociateFacesOutput struct { _ struct{} `type:"structure"` // An array of AssociatedFace objects containing FaceIDs that have been successfully // associated with the UserID. Returned if the AssociateFaces action is successful. AssociatedFaces []AssociatedFace `type:"list"` // An array of UnsuccessfulAssociation objects containing FaceIDs that are not // successfully associated along with the reasons. Returned if the AssociateFaces // action is successful. UnsuccessfulFaceAssociations []UnsuccessfulFaceAssociation `type:"list"` // The status of an update made to a UserID. Reflects if the UserID has been // updated for every requested change. UserStatus string `type:"string" enum:"UserStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociateFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociateFacesOutput) GoString() string { return s.String() } // SetAssociatedFaces sets the AssociatedFaces field's value. func (s AssociateFacesOutput) SetAssociatedFaces(v []AssociatedFace) AssociateFacesOutput { s.AssociatedFaces = v return s } // SetUnsuccessfulFaceAssociations sets the UnsuccessfulFaceAssociations field's value. func (s AssociateFacesOutput) SetUnsuccessfulFaceAssociations(v []UnsuccessfulFaceAssociation) AssociateFacesOutput { s.UnsuccessfulFaceAssociations = v return s } // SetUserStatus sets the UserStatus field's value. func (s AssociateFacesOutput) SetUserStatus(v string) AssociateFacesOutput { s.UserStatus = &v return s } // Provides face metadata for the faces that are associated to a specific UserID. type AssociatedFace struct { _ struct{} `type:"structure"` // Unique identifier assigned to the face. FaceId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociatedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AssociatedFace) GoString() string { return s.String() } // SetFaceId sets the FaceId field's value. func (s AssociatedFace) SetFaceId(v string) AssociatedFace { s.FaceId = &v return s } // Metadata information about an audio stream. An array of AudioMetadata objects // for the audio streams found in a stored video is returned by GetSegmentDetection. type AudioMetadata struct { _ struct{} `type:"structure"` // The audio codec used to encode or decode the audio stream. Codec string `type:"string"` // The duration of the audio stream in milliseconds. DurationMillis int64 `type:"long"` // The number of audio channels in the segment. NumberOfChannels int64 `type:"long"` // The sample rate for the audio stream. SampleRate int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AudioMetadata) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AudioMetadata) GoString() string { return s.String() } // SetCodec sets the Codec field's value. func (s AudioMetadata) SetCodec(v string) AudioMetadata { s.Codec = &v return s } // SetDurationMillis sets the DurationMillis field's value. func (s AudioMetadata) SetDurationMillis(v int64) AudioMetadata { s.DurationMillis = &v return s } // SetNumberOfChannels sets the NumberOfChannels field's value. func (s AudioMetadata) SetNumberOfChannels(v int64) AudioMetadata { s.NumberOfChannels = &v return s } // SetSampleRate sets the SampleRate field's value. func (s AudioMetadata) SetSampleRate(v int64) AudioMetadata { s.SampleRate = &v return s } // An image that is picked from the Face Liveness video and returned for audit // trail purposes, returned as Base64-encoded bytes. type AuditImage struct { _ struct{} `type:"structure"` // Identifies the bounding box around the label, face, text, object of interest, // or personal protective equipment. The left (x-coordinate) and top (y-coordinate) // are coordinates representing the top and left sides of the bounding box. // Note that the upper-left corner of the image is the origin (0,0). // // The top and left values returned are ratios of the overall image size. For // example, if the input image is 700x200 pixels, and the top-left coordinate // of the bounding box is 350x50 pixels, the API returns a left value of 0.5 // (350/700) and a top value of 0.25 (50/200). // // The width and height values represent the dimensions of the bounding box // as a ratio of the overall image dimension. For example, if the input image // is 700x200 pixels, and the bounding box width is 70 pixels, the width returned // is 0.1. // // The bounding box coordinates can have negative values. For example, if Amazon // Rekognition is able to detect a face that is at the image edge and is only // partially visible, the service can return coordinates that are outside the // image bounds and, depending on the image edge, you might get negative values // or values greater than 1 for the left or top values. BoundingBox BoundingBox `type:"structure"` // The Base64-encoded bytes representing an image selected from the Face Liveness // video and returned for audit purposes. // // Bytes is a sensitive parameter and its value will be // replaced with "sensitive" in string returned by AuditImage's // String and GoString methods. // // Bytes is automatically base64 encoded/decoded by the SDK. Bytes []byte `min:"1" type:"blob" sensitive:"true"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AuditImage) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s AuditImage) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s AuditImage) SetBoundingBox(v BoundingBox) AuditImage { s.BoundingBox = v return s } // SetBytes sets the Bytes field's value. func (s AuditImage) SetBytes(v []byte) AuditImage { s.Bytes = v return s } // SetS3Object sets the S3Object field's value. func (s AuditImage) SetS3Object(v S3Object) AuditImage { s.S3Object = v return s } // Indicates whether or not the face has a beard, and the confidence level in // the determination. type Beard struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the face has beard or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Beard) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Beard) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Beard) SetConfidence(v float64) Beard { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Beard) SetValue(v bool) Beard { s.Value = &v return s } // A filter that allows you to control the black frame detection by specifying // the black levels and pixel coverage of black pixels in a frame. As videos // can come from multiple sources, formats, and time periods, they may contain // different standards and varying noise levels for black frames that need to // be accounted for. For more information, see StartSegmentDetection. type BlackFrame struct { _ struct{} `type:"structure"` // A threshold used to determine the maximum luminance value for a pixel to // be considered black. In a full color range video, luminance values range // from 0-255. A pixel value of 0 is pure black, and the most strict filter. // The maximum black pixel value is computed as follows: max_black_pixel_value // = minimum_luminance + MaxPixelThreshold luminance_range. // // For example, for a full range video with BlackPixelThreshold = 0.1, max_black_pixel_value // is 0 + 0.1 * (255-0) = 25.5. // // The default value of MaxPixelThreshold is 0.2, which maps to a max_black_pixel_value // of 51 for a full range video. You can lower this threshold to be more strict // on black levels. MaxPixelThreshold float64 `type:"float"` // The minimum percentage of pixels in a frame that need to have a luminance // below the max_black_pixel_value for a frame to be considered a black frame. // Luminance is calculated using the BT.709 matrix. // // The default value is 99, which means at least 99% of all pixels in the frame // are black pixels as per the MaxPixelThreshold set. You can reduce this value // to allow more noise on the black frame. MinCoveragePercentage float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s BlackFrame) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s BlackFrame) GoString() string { return s.String() } // SetMaxPixelThreshold sets the MaxPixelThreshold field's value. func (s BlackFrame) SetMaxPixelThreshold(v float64) BlackFrame { s.MaxPixelThreshold = &v return s } // SetMinCoveragePercentage sets the MinCoveragePercentage field's value. func (s BlackFrame) SetMinCoveragePercentage(v float64) BlackFrame { s.MinCoveragePercentage = &v return s } // Identifies the bounding box around the label, face, text, object of interest, // or personal protective equipment. The left (x-coordinate) and top (y-coordinate) // are coordinates representing the top and left sides of the bounding box. // Note that the upper-left corner of the image is the origin (0,0). // // The top and left values returned are ratios of the overall image size. For // example, if the input image is 700x200 pixels, and the top-left coordinate // of the bounding box is 350x50 pixels, the API returns a left value of 0.5 // (350/700) and a top value of 0.25 (50/200). // // The width and height values represent the dimensions of the bounding box // as a ratio of the overall image dimension. For example, if the input image // is 700x200 pixels, and the bounding box width is 70 pixels, the width returned // is 0.1. // // The bounding box coordinates can have negative values. For example, if Amazon // Rekognition is able to detect a face that is at the image edge and is only // partially visible, the service can return coordinates that are outside the // image bounds and, depending on the image edge, you might get negative values // or values greater than 1 for the left or top values. type BoundingBox struct { _ struct{} `type:"structure"` // Height of the bounding box as a ratio of the overall image height. Height float64 `type:"float"` // Left coordinate of the bounding box as a ratio of overall image width. Left float64 `type:"float"` // Top coordinate of the bounding box as a ratio of overall image height. Top float64 `type:"float"` // Width of the bounding box as a ratio of the overall image width. Width float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s BoundingBox) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s BoundingBox) GoString() string { return s.String() } // SetHeight sets the Height field's value. func (s BoundingBox) SetHeight(v float64) BoundingBox { s.Height = &v return s } // SetLeft sets the Left field's value. func (s BoundingBox) SetLeft(v float64) BoundingBox { s.Left = &v return s } // SetTop sets the Top field's value. func (s BoundingBox) SetTop(v float64) BoundingBox { s.Top = &v return s } // SetWidth sets the Width field's value. func (s BoundingBox) SetWidth(v float64) BoundingBox { s.Width = &v return s } // Provides information about a celebrity recognized by the RecognizeCelebrities // operation. type Celebrity struct { _ struct{} `type:"structure"` // Provides information about the celebrity's face, such as its location on // the image. Face ComparedFace `type:"structure"` // A unique identifier for the celebrity. Id string `type:"string"` // The known gender identity for the celebrity that matches the provided ID. // The known gender identity can be Male, Female, Nonbinary, or Unlisted. KnownGender KnownGender `type:"structure"` // The confidence, in percentage, that Amazon Rekognition has that the recognized // face is the celebrity. MatchConfidence float64 `type:"float"` // The name of the celebrity. Name string `type:"string"` // An array of URLs pointing to additional information about the celebrity. // If there is no additional information about the celebrity, this list is empty. Urls []string `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Celebrity) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Celebrity) GoString() string { return s.String() } // SetFace sets the Face field's value. func (s Celebrity) SetFace(v ComparedFace) Celebrity { s.Face = v return s } // SetId sets the Id field's value. func (s Celebrity) SetId(v string) Celebrity { s.Id = &v return s } // SetKnownGender sets the KnownGender field's value. func (s Celebrity) SetKnownGender(v KnownGender) Celebrity { s.KnownGender = v return s } // SetMatchConfidence sets the MatchConfidence field's value. func (s Celebrity) SetMatchConfidence(v float64) Celebrity { s.MatchConfidence = &v return s } // SetName sets the Name field's value. func (s Celebrity) SetName(v string) Celebrity { s.Name = &v return s } // SetUrls sets the Urls field's value. func (s Celebrity) SetUrls(v []string) Celebrity { s.Urls = v return s } // Information about a recognized celebrity. type CelebrityDetail struct { _ struct{} `type:"structure"` // Bounding box around the body of a celebrity. BoundingBox BoundingBox `type:"structure"` // The confidence, in percentage, that Amazon Rekognition has that the recognized // face is the celebrity. Confidence float64 `type:"float"` // Face details for the recognized celebrity. Face FaceDetail `type:"structure"` // The unique identifier for the celebrity. Id string `type:"string"` // Retrieves the known gender for the celebrity. KnownGender KnownGender `type:"structure"` // The name of the celebrity. Name string `type:"string"` // An array of URLs pointing to additional celebrity information. Urls []string `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CelebrityDetail) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CelebrityDetail) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s CelebrityDetail) SetBoundingBox(v BoundingBox) CelebrityDetail { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s CelebrityDetail) SetConfidence(v float64) CelebrityDetail { s.Confidence = &v return s } // SetFace sets the Face field's value. func (s CelebrityDetail) SetFace(v FaceDetail) CelebrityDetail { s.Face = v return s } // SetId sets the Id field's value. func (s CelebrityDetail) SetId(v string) CelebrityDetail { s.Id = &v return s } // SetKnownGender sets the KnownGender field's value. func (s CelebrityDetail) SetKnownGender(v KnownGender) CelebrityDetail { s.KnownGender = v return s } // SetName sets the Name field's value. func (s CelebrityDetail) SetName(v string) CelebrityDetail { s.Name = &v return s } // SetUrls sets the Urls field's value. func (s CelebrityDetail) SetUrls(v []string) CelebrityDetail { s.Urls = v return s } // Information about a detected celebrity and the time the celebrity was detected // in a stored video. For more information, see GetCelebrityRecognition in the // Amazon Rekognition Developer Guide. type CelebrityRecognition struct { _ struct{} `type:"structure"` // Information about a recognized celebrity. Celebrity CelebrityDetail `type:"structure"` // The time, in milliseconds from the start of the video, that the celebrity // was recognized. Note that Timestamp is not guaranteed to be accurate to the // individual frame where the celebrity first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CelebrityRecognition) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CelebrityRecognition) GoString() string { return s.String() } // SetCelebrity sets the Celebrity field's value. func (s CelebrityRecognition) SetCelebrity(v CelebrityDetail) CelebrityRecognition { s.Celebrity = v return s } // SetTimestamp sets the Timestamp field's value. func (s CelebrityRecognition) SetTimestamp(v int64) CelebrityRecognition { s.Timestamp = &v return s } type CompareFacesInput struct { _ struct{} `type:"structure"` // A filter that specifies a quality bar for how much filtering is done to identify // faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition // chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes // all faces that don’t meet the chosen quality bar. The quality bar is based // on a variety of common use cases. Low-quality detections can occur for a // number of reasons. Some examples are an object that's misidentified as a // face, a face that's too blurry, or a face with a pose that's too extreme // to use. If you specify NONE, no filtering is performed. The default value // is NONE. // // To use quality filtering, the collection you are using must be associated // with version 3 of the face model or higher. QualityFilter string `type:"string" enum:"QualityFilter"` // The minimum level of confidence in the face matches that a match must meet // to be included in the FaceMatches array. SimilarityThreshold float64 `type:"float"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // SourceImage is a required field SourceImage Image `type:"structure" required:"true"` // The target image as base64-encoded bytes or an S3 object. If you use the // AWS CLI to call Amazon Rekognition operations, passing base64-encoded image // bytes is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // TargetImage is a required field TargetImage Image `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CompareFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CompareFacesInput"} if s.SourceImage == nil { invalidParams.Add(request.NewErrParamRequired("SourceImage")) } if s.TargetImage == nil { invalidParams.Add(request.NewErrParamRequired("TargetImage")) } if s.SourceImage != nil { if err := s.SourceImage.Validate(); err != nil { invalidParams.AddNested("SourceImage", err.(request.ErrInvalidParams)) } } if s.TargetImage != nil { if err := s.TargetImage.Validate(); err != nil { invalidParams.AddNested("TargetImage", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetQualityFilter sets the QualityFilter field's value. func (s CompareFacesInput) SetQualityFilter(v string) CompareFacesInput { s.QualityFilter = &v return s } // SetSimilarityThreshold sets the SimilarityThreshold field's value. func (s CompareFacesInput) SetSimilarityThreshold(v float64) CompareFacesInput { s.SimilarityThreshold = &v return s } // SetSourceImage sets the SourceImage field's value. func (s CompareFacesInput) SetSourceImage(v Image) CompareFacesInput { s.SourceImage = v return s } // SetTargetImage sets the TargetImage field's value. func (s CompareFacesInput) SetTargetImage(v Image) CompareFacesInput { s.TargetImage = v return s } // Provides information about a face in a target image that matches the source // image face analyzed by CompareFaces. The Face property contains the bounding // box of the face in the target image. The Similarity property is the confidence // that the source image face matches the face in the bounding box. type CompareFacesMatch struct { _ struct{} `type:"structure"` // Provides face metadata (bounding box and confidence that the bounding box // actually contains a face). Face ComparedFace `type:"structure"` // Level of confidence that the faces match. Similarity float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesMatch) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesMatch) GoString() string { return s.String() } // SetFace sets the Face field's value. func (s CompareFacesMatch) SetFace(v ComparedFace) CompareFacesMatch { s.Face = v return s } // SetSimilarity sets the Similarity field's value. func (s CompareFacesMatch) SetSimilarity(v float64) CompareFacesMatch { s.Similarity = &v return s } type CompareFacesOutput struct { _ struct{} `type:"structure"` // An array of faces in the target image that match the source image face. Each // CompareFacesMatch object provides the bounding box, the confidence level // that the bounding box contains a face, and the similarity score for the face // in the bounding box and the face in the source image. FaceMatches []CompareFacesMatch `type:"list"` // The face in the source image that was used for comparison. SourceImageFace ComparedSourceImageFace `type:"structure"` // The value of SourceImageOrientationCorrection is always null. // // If the input image is in .jpeg format, it might contain exchangeable image // file format (Exif) metadata that includes the image's orientation. Amazon // Rekognition uses this orientation information to perform image correction. // The bounding box coordinates are translated to represent object locations // after the orientation information in the Exif metadata is used to correct // the image orientation. Images in .png format don't contain Exif metadata. // // Amazon Rekognition doesn’t perform image correction for images in .png // format and .jpeg images without orientation information in the image Exif // metadata. The bounding box coordinates aren't translated and represent the // object locations before the image is rotated. SourceImageOrientationCorrection string `type:"string" enum:"OrientationCorrection"` // The value of TargetImageOrientationCorrection is always null. // // If the input image is in .jpeg format, it might contain exchangeable image // file format (Exif) metadata that includes the image's orientation. Amazon // Rekognition uses this orientation information to perform image correction. // The bounding box coordinates are translated to represent object locations // after the orientation information in the Exif metadata is used to correct // the image orientation. Images in .png format don't contain Exif metadata. // // Amazon Rekognition doesn’t perform image correction for images in .png // format and .jpeg images without orientation information in the image Exif // metadata. The bounding box coordinates aren't translated and represent the // object locations before the image is rotated. TargetImageOrientationCorrection string `type:"string" enum:"OrientationCorrection"` // An array of faces in the target image that did not match the source image // face. UnmatchedFaces []ComparedFace `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CompareFacesOutput) GoString() string { return s.String() } // SetFaceMatches sets the FaceMatches field's value. func (s CompareFacesOutput) SetFaceMatches(v []CompareFacesMatch) CompareFacesOutput { s.FaceMatches = v return s } // SetSourceImageFace sets the SourceImageFace field's value. func (s CompareFacesOutput) SetSourceImageFace(v ComparedSourceImageFace) CompareFacesOutput { s.SourceImageFace = v return s } // SetSourceImageOrientationCorrection sets the SourceImageOrientationCorrection field's value. func (s CompareFacesOutput) SetSourceImageOrientationCorrection(v string) CompareFacesOutput { s.SourceImageOrientationCorrection = &v return s } // SetTargetImageOrientationCorrection sets the TargetImageOrientationCorrection field's value. func (s CompareFacesOutput) SetTargetImageOrientationCorrection(v string) CompareFacesOutput { s.TargetImageOrientationCorrection = &v return s } // SetUnmatchedFaces sets the UnmatchedFaces field's value. func (s CompareFacesOutput) SetUnmatchedFaces(v []ComparedFace) CompareFacesOutput { s.UnmatchedFaces = v return s } // Provides face metadata for target image faces that are analyzed by CompareFaces // and RecognizeCelebrities. type ComparedFace struct { _ struct{} `type:"structure"` // Bounding box of the face. BoundingBox BoundingBox `type:"structure"` // Level of confidence that what the bounding box contains is a face. Confidence float64 `type:"float"` // The emotions that appear to be expressed on the face, and the confidence // level in the determination. Valid values include "Happy", "Sad", "Angry", // "Confused", "Disgusted", "Surprised", "Calm", "Unknown", and "Fear". Emotions []Emotion `type:"list"` // An array of facial landmarks. Landmarks []Landmark `type:"list"` // Indicates the pose of the face as determined by its pitch, roll, and yaw. Pose Pose `type:"structure"` // Identifies face image brightness and sharpness. Quality ImageQuality `type:"structure"` // Indicates whether or not the face is smiling, and the confidence level in // the determination. Smile Smile `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ComparedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ComparedFace) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s ComparedFace) SetBoundingBox(v BoundingBox) ComparedFace { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s ComparedFace) SetConfidence(v float64) ComparedFace { s.Confidence = &v return s } // SetEmotions sets the Emotions field's value. func (s ComparedFace) SetEmotions(v []Emotion) ComparedFace { s.Emotions = v return s } // SetLandmarks sets the Landmarks field's value. func (s ComparedFace) SetLandmarks(v []Landmark) ComparedFace { s.Landmarks = v return s } // SetPose sets the Pose field's value. func (s ComparedFace) SetPose(v Pose) ComparedFace { s.Pose = v return s } // SetQuality sets the Quality field's value. func (s ComparedFace) SetQuality(v ImageQuality) ComparedFace { s.Quality = v return s } // SetSmile sets the Smile field's value. func (s ComparedFace) SetSmile(v Smile) ComparedFace { s.Smile = v return s } // Type that describes the face Amazon Rekognition chose to compare with the // faces in the target. This contains a bounding box for the selected face and // confidence level that the bounding box contains a face. Note that Amazon // Rekognition selects the largest face in the source image for this comparison. type ComparedSourceImageFace struct { _ struct{} `type:"structure"` // Bounding box of the face. BoundingBox BoundingBox `type:"structure"` // Confidence level that the selected bounding box contains a face. Confidence float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ComparedSourceImageFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ComparedSourceImageFace) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s ComparedSourceImageFace) SetBoundingBox(v BoundingBox) ComparedSourceImageFace { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s ComparedSourceImageFace) SetConfidence(v float64) ComparedSourceImageFace { s.Confidence = &v return s } // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. * type ConflictException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConflictException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConflictException) GoString() string { return s.String() } func newErrorConflictException(v protocol.ResponseMetadata) error { return &ConflictException{ RespMetadata: v, } } // Code returns the exception type name. func (s ConflictException) Code() string { return "ConflictException" } // Message returns the exception's message. func (s ConflictException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ConflictException) OrigErr() error { return nil } func (s ConflictException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ConflictException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ConflictException) RequestID() string { return s.RespMetadata.RequestID } // Label detection settings to use on a streaming video. Defining the settings // is required in the request parameter for CreateStreamProcessor. Including // this setting in the CreateStreamProcessor request enables you to use the // stream processor for label detection. You can then select what you want the // stream processor to detect, such as people or pets. When the stream processor // has started, one notification is sent for each object class specified. For // example, if packages and pets are selected, one SNS notification is published // the first time a package is detected and one SNS notification is published // the first time a pet is detected, as well as an end-of-session summary. type ConnectedHomeSettings struct { _ struct{} `type:"structure"` // Specifies what you want to detect in the video, such as people, packages, // or pets. The current valid labels you can include in this list are: "PERSON", // "PET", "PACKAGE", and "ALL". // // Labels is a required field Labels []string `min:"1" type:"list" required:"true"` // The minimum confidence required to label an object in the video. MinConfidence float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConnectedHomeSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConnectedHomeSettings) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ConnectedHomeSettings) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ConnectedHomeSettings"} if s.Labels == nil { invalidParams.Add(request.NewErrParamRequired("Labels")) } if s.Labels != nil && len(s.Labels) < 1 { invalidParams.Add(request.NewErrParamMinLen("Labels", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetLabels sets the Labels field's value. func (s ConnectedHomeSettings) SetLabels(v []string) ConnectedHomeSettings { s.Labels = v return s } // SetMinConfidence sets the MinConfidence field's value. func (s ConnectedHomeSettings) SetMinConfidence(v float64) ConnectedHomeSettings { s.MinConfidence = &v return s } // The label detection settings you want to use in your stream processor. This // includes the labels you want the stream processor to detect and the minimum // confidence level allowed to label objects. type ConnectedHomeSettingsForUpdate struct { _ struct{} `type:"structure"` // Specifies what you want to detect in the video, such as people, packages, // or pets. The current valid labels you can include in this list are: "PERSON", // "PET", "PACKAGE", and "ALL". Labels []string `min:"1" type:"list"` // The minimum confidence required to label an object in the video. MinConfidence float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConnectedHomeSettingsForUpdate) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ConnectedHomeSettingsForUpdate) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ConnectedHomeSettingsForUpdate) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ConnectedHomeSettingsForUpdate"} if s.Labels != nil && len(s.Labels) < 1 { invalidParams.Add(request.NewErrParamMinLen("Labels", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetLabels sets the Labels field's value. func (s ConnectedHomeSettingsForUpdate) SetLabels(v []string) ConnectedHomeSettingsForUpdate { s.Labels = v return s } // SetMinConfidence sets the MinConfidence field's value. func (s ConnectedHomeSettingsForUpdate) SetMinConfidence(v float64) ConnectedHomeSettingsForUpdate { s.MinConfidence = &v return s } // Information about an inappropriate, unwanted, or offensive content label // detection in a stored video. type ContentModerationDetection struct { _ struct{} `type:"structure"` // A list of predicted results for the type of content an image contains. For // example, the image content might be from animation, sports, or a video game. ContentTypes []ContentType `type:"list"` // The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis // to EndTimestampMillis. DurationMillis int64 `type:"long"` // The time in milliseconds defining the end of the timeline segment containing // a continuously detected moderation label. EndTimestampMillis int64 `type:"long"` // The content moderation label detected by in the stored video. ModerationLabel ModerationLabel `type:"structure"` // The time in milliseconds defining the start of the timeline segment containing // a continuously detected moderation label. StartTimestampMillis int64 `type:"long"` // Time, in milliseconds from the beginning of the video, that the content moderation // label was detected. Note that Timestamp is not guaranteed to be accurate // to the individual frame where the moderated content first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ContentModerationDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ContentModerationDetection) GoString() string { return s.String() } // SetContentTypes sets the ContentTypes field's value. func (s ContentModerationDetection) SetContentTypes(v []ContentType) ContentModerationDetection { s.ContentTypes = v return s } // SetDurationMillis sets the DurationMillis field's value. func (s ContentModerationDetection) SetDurationMillis(v int64) ContentModerationDetection { s.DurationMillis = &v return s } // SetEndTimestampMillis sets the EndTimestampMillis field's value. func (s ContentModerationDetection) SetEndTimestampMillis(v int64) ContentModerationDetection { s.EndTimestampMillis = &v return s } // SetModerationLabel sets the ModerationLabel field's value. func (s ContentModerationDetection) SetModerationLabel(v ModerationLabel) ContentModerationDetection { s.ModerationLabel = v return s } // SetStartTimestampMillis sets the StartTimestampMillis field's value. func (s ContentModerationDetection) SetStartTimestampMillis(v int64) ContentModerationDetection { s.StartTimestampMillis = &v return s } // SetTimestamp sets the Timestamp field's value. func (s ContentModerationDetection) SetTimestamp(v int64) ContentModerationDetection { s.Timestamp = &v return s } // Contains information regarding the confidence and name of a detected content // type. type ContentType struct { _ struct{} `type:"structure"` // The confidence level of the label given Confidence float64 `type:"float"` // The name of the label Name string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ContentType) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ContentType) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s ContentType) SetConfidence(v float64) ContentType { s.Confidence = &v return s } // SetName sets the Name field's value. func (s ContentType) SetName(v string) ContentType { s.Name = &v return s } type CopyProjectVersionInput struct { _ struct{} `type:"structure"` // The ARN of the project in the trusted AWS account that you want to copy the // model version to. // // DestinationProjectArn is a required field DestinationProjectArn string `min:"20" type:"string" required:"true"` // The identifier for your AWS Key Management Service key (AWS KMS key). You // can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your // KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt // training results and manifest files written to the output Amazon S3 bucket // (OutputConfig). // // If you choose to use your own KMS key, you need the following permissions // on the KMS key. // // kms:CreateGrant // // * kms:DescribeKey // // * kms:GenerateDataKey // // * kms:Decrypt // // If you don't specify a value for KmsKeyId, images copied into the service // are encrypted using a key that AWS owns and manages. KmsKeyId string `min:"1" type:"string"` // The S3 bucket and folder location where the training output for the source // model version is placed. // // OutputConfig is a required field OutputConfig OutputConfig `type:"structure" required:"true"` // The ARN of the source project in the trusting AWS account. // // SourceProjectArn is a required field SourceProjectArn string `min:"20" type:"string" required:"true"` // The ARN of the model version in the source project that you want to copy // to a destination project. // // SourceProjectVersionArn is a required field SourceProjectVersionArn string `min:"20" type:"string" required:"true"` // The key-value tags to assign to the model version. Tags map[string]string `type:"map"` // A name for the version of the model that's copied to the destination project. // // VersionName is a required field VersionName string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CopyProjectVersionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CopyProjectVersionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CopyProjectVersionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CopyProjectVersionInput"} if s.DestinationProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("DestinationProjectArn")) } if s.DestinationProjectArn != nil && len(s.DestinationProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DestinationProjectArn", 20)) } if s.KmsKeyId != nil && len(s.KmsKeyId) < 1 { invalidParams.Add(request.NewErrParamMinLen("KmsKeyId", 1)) } if s.OutputConfig == nil { invalidParams.Add(request.NewErrParamRequired("OutputConfig")) } if s.SourceProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("SourceProjectArn")) } if s.SourceProjectArn != nil && len(s.SourceProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("SourceProjectArn", 20)) } if s.SourceProjectVersionArn == nil { invalidParams.Add(request.NewErrParamRequired("SourceProjectVersionArn")) } if s.SourceProjectVersionArn != nil && len(s.SourceProjectVersionArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("SourceProjectVersionArn", 20)) } if s.VersionName == nil { invalidParams.Add(request.NewErrParamRequired("VersionName")) } if s.VersionName != nil && len(s.VersionName) < 1 { invalidParams.Add(request.NewErrParamMinLen("VersionName", 1)) } if s.OutputConfig != nil { if err := s.OutputConfig.Validate(); err != nil { invalidParams.AddNested("OutputConfig", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDestinationProjectArn sets the DestinationProjectArn field's value. func (s CopyProjectVersionInput) SetDestinationProjectArn(v string) CopyProjectVersionInput { s.DestinationProjectArn = &v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s CopyProjectVersionInput) SetKmsKeyId(v string) CopyProjectVersionInput { s.KmsKeyId = &v return s } // SetOutputConfig sets the OutputConfig field's value. func (s CopyProjectVersionInput) SetOutputConfig(v OutputConfig) CopyProjectVersionInput { s.OutputConfig = v return s } // SetSourceProjectArn sets the SourceProjectArn field's value. func (s CopyProjectVersionInput) SetSourceProjectArn(v string) CopyProjectVersionInput { s.SourceProjectArn = &v return s } // SetSourceProjectVersionArn sets the SourceProjectVersionArn field's value. func (s CopyProjectVersionInput) SetSourceProjectVersionArn(v string) CopyProjectVersionInput { s.SourceProjectVersionArn = &v return s } // SetTags sets the Tags field's value. func (s CopyProjectVersionInput) SetTags(v map[string]string) CopyProjectVersionInput { s.Tags = v return s } // SetVersionName sets the VersionName field's value. func (s CopyProjectVersionInput) SetVersionName(v string) CopyProjectVersionInput { s.VersionName = &v return s } type CopyProjectVersionOutput struct { _ struct{} `type:"structure"` // The ARN of the copied model version in the destination project. ProjectVersionArn string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CopyProjectVersionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CopyProjectVersionOutput) GoString() string { return s.String() } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s CopyProjectVersionOutput) SetProjectVersionArn(v string) CopyProjectVersionOutput { s.ProjectVersionArn = &v return s } // Information about an item of Personal Protective Equipment covering a corresponding // body part. For more information, see DetectProtectiveEquipment. type CoversBodyPart struct { _ struct{} `type:"structure"` // The confidence that Amazon Rekognition has in the value of Value. Confidence float64 `type:"float"` // True if the PPE covers the corresponding body part, otherwise false. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CoversBodyPart) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CoversBodyPart) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s CoversBodyPart) SetConfidence(v float64) CoversBodyPart { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s CoversBodyPart) SetValue(v bool) CoversBodyPart { s.Value = &v return s } type CreateCollectionInput struct { _ struct{} `type:"structure"` // ID for the collection that you are creating. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // A set of tags (key-value pairs) that you want to attach to the collection. Tags map[string]string `type:"map"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateCollectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateCollectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateCollectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateCollectionInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s CreateCollectionInput) SetCollectionId(v string) CreateCollectionInput { s.CollectionId = &v return s } // SetTags sets the Tags field's value. func (s CreateCollectionInput) SetTags(v map[string]string) CreateCollectionInput { s.Tags = v return s } type CreateCollectionOutput struct { _ struct{} `type:"structure"` // Amazon Resource Name (ARN) of the collection. You can use this to manage // permissions on your resources. CollectionArn string `type:"string"` // Version number of the face detection model associated with the collection // you are creating. FaceModelVersion string `type:"string"` // HTTP status code indicating the result of the operation. StatusCode int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateCollectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateCollectionOutput) GoString() string { return s.String() } // SetCollectionArn sets the CollectionArn field's value. func (s CreateCollectionOutput) SetCollectionArn(v string) CreateCollectionOutput { s.CollectionArn = &v return s } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s CreateCollectionOutput) SetFaceModelVersion(v string) CreateCollectionOutput { s.FaceModelVersion = &v return s } // SetStatusCode sets the StatusCode field's value. func (s CreateCollectionOutput) SetStatusCode(v int64) CreateCollectionOutput { s.StatusCode = &v return s } type CreateDatasetInput struct { _ struct{} `type:"structure"` // The source files for the dataset. You can specify the ARN of an existing // dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format // manifest file. If you don't specify datasetSource, an empty dataset is created. // To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries. DatasetSource DatasetSource `type:"structure"` // The type of the dataset. Specify TRAIN to create a training dataset. Specify // TEST to create a test dataset. // // DatasetType is a required field DatasetType string `type:"string" required:"true" enum:"DatasetType"` // The ARN of the Amazon Rekognition Custom Labels project to which you want // to asssign the dataset. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` // A set of tags (key-value pairs) that you want to attach to the dataset. Tags map[string]string `type:"map"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateDatasetInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateDatasetInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateDatasetInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateDatasetInput"} if s.DatasetType == nil { invalidParams.Add(request.NewErrParamRequired("DatasetType")) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if s.DatasetSource != nil { if err := s.DatasetSource.Validate(); err != nil { invalidParams.AddNested("DatasetSource", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasetSource sets the DatasetSource field's value. func (s CreateDatasetInput) SetDatasetSource(v DatasetSource) CreateDatasetInput { s.DatasetSource = v return s } // SetDatasetType sets the DatasetType field's value. func (s CreateDatasetInput) SetDatasetType(v string) CreateDatasetInput { s.DatasetType = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s CreateDatasetInput) SetProjectArn(v string) CreateDatasetInput { s.ProjectArn = &v return s } // SetTags sets the Tags field's value. func (s CreateDatasetInput) SetTags(v map[string]string) CreateDatasetInput { s.Tags = v return s } type CreateDatasetOutput struct { _ struct{} `type:"structure"` // The ARN of the created Amazon Rekognition Custom Labels dataset. DatasetArn string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateDatasetOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateDatasetOutput) GoString() string { return s.String() } // SetDatasetArn sets the DatasetArn field's value. func (s CreateDatasetOutput) SetDatasetArn(v string) CreateDatasetOutput { s.DatasetArn = &v return s } type CreateFaceLivenessSessionInput struct { _ struct{} `type:"structure"` // Idempotent token is used to recognize the Face Liveness request. If the same // token is used with multiple CreateFaceLivenessSession requests, the same // session is returned. This token is employed to avoid unintentionally creating // the same session multiple times. ClientRequestToken string `min:"1" type:"string"` // The identifier for your AWS Key Management Service key (AWS KMS key). Used // to encrypt audit images and reference images. KmsKeyId string `min:"1" type:"string"` // A session settings object. It contains settings for the operation to be performed. // For Face Liveness, it accepts OutputConfig and AuditImagesLimit. Settings CreateFaceLivenessSessionRequestSettings `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateFaceLivenessSessionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateFaceLivenessSessionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.KmsKeyId != nil && len(s.KmsKeyId) < 1 { invalidParams.Add(request.NewErrParamMinLen("KmsKeyId", 1)) } if s.Settings != nil { if err := s.Settings.Validate(); err != nil { invalidParams.AddNested("Settings", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s CreateFaceLivenessSessionInput) SetClientRequestToken(v string) CreateFaceLivenessSessionInput { s.ClientRequestToken = &v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s CreateFaceLivenessSessionInput) SetKmsKeyId(v string) CreateFaceLivenessSessionInput { s.KmsKeyId = &v return s } // SetSettings sets the Settings field's value. func (s CreateFaceLivenessSessionInput) SetSettings(v CreateFaceLivenessSessionRequestSettings) CreateFaceLivenessSessionInput { s.Settings = v return s } type CreateFaceLivenessSessionOutput struct { _ struct{} `type:"structure"` // A unique 128-bit UUID identifying a Face Liveness session. A new sessionID // must be used for every Face Liveness check. If a given sessionID is used // for subsequent Face Liveness checks, the checks will fail. Additionally, // a SessionId expires 3 minutes after it's sent, making all Liveness data associated // with the session (e.g., sessionID, reference image, audit images, etc.) unavailable. // // SessionId is a required field SessionId string `min:"36" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionOutput) GoString() string { return s.String() } // SetSessionId sets the SessionId field's value. func (s CreateFaceLivenessSessionOutput) SetSessionId(v string) CreateFaceLivenessSessionOutput { s.SessionId = &v return s } // A session settings object. It contains settings for the operation to be performed. // It accepts arguments for OutputConfig and AuditImagesLimit. type CreateFaceLivenessSessionRequestSettings struct { _ struct{} `type:"structure"` // Number of audit images to be returned back. Takes an integer between 0-4. // Any integer less than 0 will return 0, any integer above 4 will return 4 // images in the response. By default, it is set to 0. The limit is best effort // and is based on the actual duration of the selfie-video. AuditImagesLimit int64 `type:"integer"` // Can specify the location of an Amazon S3 bucket, where reference and audit // images will be stored. Note that the Amazon S3 bucket must be located in // the caller's AWS account and in the same region as the Face Liveness end-point. // Additionally, the Amazon S3 object keys are auto-generated by the Face Liveness // system. Requires that the caller has the s3:PutObject permission on the Amazon // S3 bucket. OutputConfig LivenessOutputConfig `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionRequestSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateFaceLivenessSessionRequestSettings) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateFaceLivenessSessionRequestSettings) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateFaceLivenessSessionRequestSettings"} if s.OutputConfig != nil { if err := s.OutputConfig.Validate(); err != nil { invalidParams.AddNested("OutputConfig", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAuditImagesLimit sets the AuditImagesLimit field's value. func (s CreateFaceLivenessSessionRequestSettings) SetAuditImagesLimit(v int64) CreateFaceLivenessSessionRequestSettings { s.AuditImagesLimit = &v return s } // SetOutputConfig sets the OutputConfig field's value. func (s CreateFaceLivenessSessionRequestSettings) SetOutputConfig(v LivenessOutputConfig) CreateFaceLivenessSessionRequestSettings { s.OutputConfig = v return s } type CreateProjectInput struct { _ struct{} `type:"structure"` // Specifies whether automatic retraining should be attempted for the versions // of the project. Automatic retraining is done as a best effort. Required argument // for Content Moderation. Applicable only to adapters. AutoUpdate string `type:"string" enum:"ProjectAutoUpdate"` // Specifies feature that is being customized. If no value is provided CUSTOM_LABELS // is used as a default. Feature string `type:"string" enum:"CustomizationFeature"` // The name of the project to create. // // ProjectName is a required field ProjectName string `min:"1" type:"string" required:"true"` // A set of tags (key-value pairs) that you want to attach to the project. Tags map[string]string `type:"map"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateProjectInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateProjectInput"} if s.ProjectName == nil { invalidParams.Add(request.NewErrParamRequired("ProjectName")) } if s.ProjectName != nil && len(s.ProjectName) < 1 { invalidParams.Add(request.NewErrParamMinLen("ProjectName", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAutoUpdate sets the AutoUpdate field's value. func (s CreateProjectInput) SetAutoUpdate(v string) CreateProjectInput { s.AutoUpdate = &v return s } // SetFeature sets the Feature field's value. func (s CreateProjectInput) SetFeature(v string) CreateProjectInput { s.Feature = &v return s } // SetProjectName sets the ProjectName field's value. func (s CreateProjectInput) SetProjectName(v string) CreateProjectInput { s.ProjectName = &v return s } // SetTags sets the Tags field's value. func (s CreateProjectInput) SetTags(v map[string]string) CreateProjectInput { s.Tags = v return s } type CreateProjectOutput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the new project. You can use the ARN to // configure IAM access to the project. ProjectArn string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectOutput) GoString() string { return s.String() } // SetProjectArn sets the ProjectArn field's value. func (s CreateProjectOutput) SetProjectArn(v string) CreateProjectOutput { s.ProjectArn = &v return s } type CreateProjectVersionInput struct { _ struct{} `type:"structure"` // Feature-specific configuration of the training job. If the job configuration // does not match the feature type associated with the project, an InvalidParameterException // is returned. FeatureConfig CustomizationFeatureConfig `type:"structure"` // The identifier for your AWS Key Management Service key (AWS KMS key). You // can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your // KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt // training images, test images, and manifest files copied into the service // for the project version. Your source images are unaffected. The key is also // used to encrypt training results and manifest files written to the output // Amazon S3 bucket (OutputConfig). // // If you choose to use your own KMS key, you need the following permissions // on the KMS key. // // kms:CreateGrant // // * kms:DescribeKey // // * kms:GenerateDataKey // // * kms:Decrypt // // If you don't specify a value for KmsKeyId, images copied into the service // are encrypted using a key that AWS owns and manages. KmsKeyId string `min:"1" type:"string"` // The Amazon S3 bucket location to store the results of training. The bucket // can be any S3 bucket in your AWS account. You need s3:PutObject permission // on the bucket. // // OutputConfig is a required field OutputConfig OutputConfig `type:"structure" required:"true"` // The ARN of the Amazon Rekognition project that will manage the project version // you want to train. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` // A set of tags (key-value pairs) that you want to attach to the project version. Tags map[string]string `type:"map"` // Specifies an external manifest that the service uses to test the project // version. If you specify TestingData you must also specify TrainingData. The // project must not have any associated datasets. TestingData TestingData `type:"structure"` // Specifies an external manifest that the services uses to train the project // version. If you specify TrainingData you must also specify TestingData. The // project must not have any associated datasets. TrainingData TrainingData `type:"structure"` // A description applied to the project version being created. VersionDescription string `min:"1" type:"string"` // A name for the version of the project version. This value must be unique. // // VersionName is a required field VersionName string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectVersionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectVersionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateProjectVersionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateProjectVersionInput"} if s.KmsKeyId != nil && len(s.KmsKeyId) < 1 { invalidParams.Add(request.NewErrParamMinLen("KmsKeyId", 1)) } if s.OutputConfig == nil { invalidParams.Add(request.NewErrParamRequired("OutputConfig")) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if s.VersionDescription != nil && len(s.VersionDescription) < 1 { invalidParams.Add(request.NewErrParamMinLen("VersionDescription", 1)) } if s.VersionName == nil { invalidParams.Add(request.NewErrParamRequired("VersionName")) } if s.VersionName != nil && len(s.VersionName) < 1 { invalidParams.Add(request.NewErrParamMinLen("VersionName", 1)) } if s.OutputConfig != nil { if err := s.OutputConfig.Validate(); err != nil { invalidParams.AddNested("OutputConfig", err.(request.ErrInvalidParams)) } } if s.TestingData != nil { if err := s.TestingData.Validate(); err != nil { invalidParams.AddNested("TestingData", err.(request.ErrInvalidParams)) } } if s.TrainingData != nil { if err := s.TrainingData.Validate(); err != nil { invalidParams.AddNested("TrainingData", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetFeatureConfig sets the FeatureConfig field's value. func (s CreateProjectVersionInput) SetFeatureConfig(v CustomizationFeatureConfig) CreateProjectVersionInput { s.FeatureConfig = v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s CreateProjectVersionInput) SetKmsKeyId(v string) CreateProjectVersionInput { s.KmsKeyId = &v return s } // SetOutputConfig sets the OutputConfig field's value. func (s CreateProjectVersionInput) SetOutputConfig(v OutputConfig) CreateProjectVersionInput { s.OutputConfig = v return s } // SetProjectArn sets the ProjectArn field's value. func (s CreateProjectVersionInput) SetProjectArn(v string) CreateProjectVersionInput { s.ProjectArn = &v return s } // SetTags sets the Tags field's value. func (s CreateProjectVersionInput) SetTags(v map[string]string) CreateProjectVersionInput { s.Tags = v return s } // SetTestingData sets the TestingData field's value. func (s CreateProjectVersionInput) SetTestingData(v TestingData) CreateProjectVersionInput { s.TestingData = v return s } // SetTrainingData sets the TrainingData field's value. func (s CreateProjectVersionInput) SetTrainingData(v TrainingData) CreateProjectVersionInput { s.TrainingData = v return s } // SetVersionDescription sets the VersionDescription field's value. func (s CreateProjectVersionInput) SetVersionDescription(v string) CreateProjectVersionInput { s.VersionDescription = &v return s } // SetVersionName sets the VersionName field's value. func (s CreateProjectVersionInput) SetVersionName(v string) CreateProjectVersionInput { s.VersionName = &v return s } type CreateProjectVersionOutput struct { _ struct{} `type:"structure"` // The ARN of the model or the project version that was created. Use DescribeProjectVersion // to get the current status of the training operation. ProjectVersionArn string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectVersionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateProjectVersionOutput) GoString() string { return s.String() } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s CreateProjectVersionOutput) SetProjectVersionArn(v string) CreateProjectVersionOutput { s.ProjectVersionArn = &v return s } type CreateStreamProcessorInput struct { _ struct{} `type:"structure"` // Shows whether you are sharing data with Rekognition to improve model performance. // You can choose this option at the account level or on a per-stream basis. // Note that if you opt out at the account level this setting is ignored on // individual streams. DataSharingPreference StreamProcessorDataSharingPreference `type:"structure"` // Kinesis video stream stream that provides the source streaming video. If // you are using the AWS CLI, the parameter name is StreamProcessorInput. This // is required for both face search and label detection stream processors. // // Input is a required field Input StreamProcessorInput `type:"structure" required:"true"` // The identifier for your AWS Key Management Service key (AWS KMS key). This // is an optional parameter for label detection stream processors and should // not be used to create a face search stream processor. You can supply the // Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias // for your KMS key, or an alias ARN. The key is used to encrypt results and // data published to your Amazon S3 bucket, which includes image frames and // hero images. Your source images are unaffected. KmsKeyId string `min:"1" type:"string"` // An identifier you assign to the stream processor. You can use Name to manage // the stream processor. For example, you can get the current status of the // stream processor by calling DescribeStreamProcessor. Name is idempotent. // This is required for both face search and label detection stream processors. // // Name is a required field Name string `min:"1" type:"string" required:"true"` // The Amazon Simple Notification Service topic to which Amazon Rekognition // publishes the object detection results and completion status of a video analysis // operation. // // Amazon Rekognition publishes a notification the first time an object of interest // or a person is detected in the video stream. For example, if Amazon Rekognition // detects a person at second 2, a pet at second 4, and a person again at second // 5, Amazon Rekognition sends 2 object class detected notifications, one for // a person at second 2 and one for a pet at second 4. // // Amazon Rekognition also publishes an an end-of-session notification with // a summary when the stream processing session is complete. NotificationChannel StreamProcessorNotificationChannel `type:"structure"` // Kinesis data stream stream or Amazon S3 bucket location to which Amazon Rekognition // Video puts the analysis results. If you are using the AWS CLI, the parameter // name is StreamProcessorOutput. This must be a S3Destination of an Amazon // S3 bucket that you own for a label detection stream processor or a Kinesis // data stream ARN for a face search stream processor. // // Output is a required field Output StreamProcessorOutput `type:"structure" required:"true"` // Specifies locations in the frames where Amazon Rekognition checks for objects // or people. You can specify up to 10 regions of interest, and each region // has either a polygon or a bounding box. This is an optional parameter for // label detection stream processors and should not be used to create a face // search stream processor. RegionsOfInterest []RegionOfInterest `type:"list"` // The Amazon Resource Number (ARN) of the IAM role that allows access to the // stream processor. The IAM role provides Rekognition read permissions for // a Kinesis stream. It also provides write permissions to an Amazon S3 bucket // and Amazon Simple Notification Service topic for a label detection stream // processor. This is required for both face search and label detection stream // processors. // // RoleArn is a required field RoleArn string `type:"string" required:"true"` // Input parameters used in a streaming video analyzed by a stream processor. // You can use FaceSearch to recognize faces in a streaming video, or you can // use ConnectedHome to detect labels. // // Settings is a required field Settings StreamProcessorSettings `type:"structure" required:"true"` // A set of tags (key-value pairs) that you want to attach to the stream processor. Tags map[string]string `type:"map"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateStreamProcessorInput"} if s.Input == nil { invalidParams.Add(request.NewErrParamRequired("Input")) } if s.KmsKeyId != nil && len(s.KmsKeyId) < 1 { invalidParams.Add(request.NewErrParamMinLen("KmsKeyId", 1)) } if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if s.Output == nil { invalidParams.Add(request.NewErrParamRequired("Output")) } if s.RoleArn == nil { invalidParams.Add(request.NewErrParamRequired("RoleArn")) } if s.Settings == nil { invalidParams.Add(request.NewErrParamRequired("Settings")) } if s.DataSharingPreference != nil { if err := s.DataSharingPreference.Validate(); err != nil { invalidParams.AddNested("DataSharingPreference", err.(request.ErrInvalidParams)) } } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Output != nil { if err := s.Output.Validate(); err != nil { invalidParams.AddNested("Output", err.(request.ErrInvalidParams)) } } if s.Settings != nil { if err := s.Settings.Validate(); err != nil { invalidParams.AddNested("Settings", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDataSharingPreference sets the DataSharingPreference field's value. func (s CreateStreamProcessorInput) SetDataSharingPreference(v StreamProcessorDataSharingPreference) CreateStreamProcessorInput { s.DataSharingPreference = v return s } // SetInput sets the Input field's value. func (s CreateStreamProcessorInput) SetInput(v StreamProcessorInput) CreateStreamProcessorInput { s.Input = v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s CreateStreamProcessorInput) SetKmsKeyId(v string) CreateStreamProcessorInput { s.KmsKeyId = &v return s } // SetName sets the Name field's value. func (s CreateStreamProcessorInput) SetName(v string) CreateStreamProcessorInput { s.Name = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s CreateStreamProcessorInput) SetNotificationChannel(v StreamProcessorNotificationChannel) CreateStreamProcessorInput { s.NotificationChannel = v return s } // SetOutput sets the Output field's value. func (s CreateStreamProcessorInput) SetOutput(v StreamProcessorOutput) CreateStreamProcessorInput { s.Output = v return s } // SetRegionsOfInterest sets the RegionsOfInterest field's value. func (s CreateStreamProcessorInput) SetRegionsOfInterest(v []RegionOfInterest) CreateStreamProcessorInput { s.RegionsOfInterest = v return s } // SetRoleArn sets the RoleArn field's value. func (s CreateStreamProcessorInput) SetRoleArn(v string) CreateStreamProcessorInput { s.RoleArn = &v return s } // SetSettings sets the Settings field's value. func (s CreateStreamProcessorInput) SetSettings(v StreamProcessorSettings) CreateStreamProcessorInput { s.Settings = v return s } // SetTags sets the Tags field's value. func (s CreateStreamProcessorInput) SetTags(v map[string]string) CreateStreamProcessorInput { s.Tags = v return s } type CreateStreamProcessorOutput struct { _ struct{} `type:"structure"` // Amazon Resource Number for the newly created stream processor. StreamProcessorArn string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateStreamProcessorOutput) GoString() string { return s.String() } // SetStreamProcessorArn sets the StreamProcessorArn field's value. func (s CreateStreamProcessorOutput) SetStreamProcessorArn(v string) CreateStreamProcessorOutput { s.StreamProcessorArn = &v return s } type CreateUserInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the request to CreateUser. If you use the // same token with multiple CreateUser requests, the same response is returned. // Use ClientRequestToken to prevent the same request from being processed more // than once. ClientRequestToken string `min:"1" type:"string" idempotencyToken:"true"` // The ID of an existing collection to which the new UserID needs to be created. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // ID for the UserID to be created. This ID needs to be unique within the collection. // // UserId is a required field UserId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateUserInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateUserInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s CreateUserInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "CreateUserInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.UserId == nil { invalidParams.Add(request.NewErrParamRequired("UserId")) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s CreateUserInput) SetClientRequestToken(v string) CreateUserInput { s.ClientRequestToken = &v return s } // SetCollectionId sets the CollectionId field's value. func (s CreateUserInput) SetCollectionId(v string) CreateUserInput { s.CollectionId = &v return s } // SetUserId sets the UserId field's value. func (s CreateUserInput) SetUserId(v string) CreateUserInput { s.UserId = &v return s } type CreateUserOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateUserOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CreateUserOutput) GoString() string { return s.String() } // A custom label detected in an image by a call to DetectCustomLabels. type CustomLabel struct { _ struct{} `type:"structure"` // The confidence that the model has in the detection of the custom label. The // range is 0-100. A higher value indicates a higher confidence. Confidence float64 `type:"float"` // The location of the detected object on the image that corresponds to the // custom label. Includes an axis aligned coarse bounding box surrounding the // object and a finer grain polygon for more accurate spatial information. Geometry Geometry `type:"structure"` // The name of the custom label. Name string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomLabel) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomLabel) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s CustomLabel) SetConfidence(v float64) CustomLabel { s.Confidence = &v return s } // SetGeometry sets the Geometry field's value. func (s CustomLabel) SetGeometry(v Geometry) CustomLabel { s.Geometry = v return s } // SetName sets the Name field's value. func (s CustomLabel) SetName(v string) CustomLabel { s.Name = &v return s } // Feature specific configuration for the training job. Configuration provided // for the job must match the feature type parameter associated with project. // If configuration and feature type do not match an InvalidParameterException // is returned. type CustomizationFeatureConfig struct { _ struct{} `type:"structure"` // Configuration options for Custom Moderation training. ContentModeration CustomizationFeatureContentModerationConfig `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomizationFeatureConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomizationFeatureConfig) GoString() string { return s.String() } // SetContentModeration sets the ContentModeration field's value. func (s CustomizationFeatureConfig) SetContentModeration(v CustomizationFeatureContentModerationConfig) CustomizationFeatureConfig { s.ContentModeration = v return s } // Configuration options for Content Moderation training. type CustomizationFeatureContentModerationConfig struct { _ struct{} `type:"structure"` // The confidence level you plan to use to identify if unsafe content is present // during inference. ConfidenceThreshold float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomizationFeatureContentModerationConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s CustomizationFeatureContentModerationConfig) GoString() string { return s.String() } // SetConfidenceThreshold sets the ConfidenceThreshold field's value. func (s CustomizationFeatureContentModerationConfig) SetConfidenceThreshold(v float64) CustomizationFeatureContentModerationConfig { s.ConfidenceThreshold = &v return s } // Describes updates or additions to a dataset. A Single update or addition // is an entry (JSON Line) that provides information about a single image. To // update an existing entry, you match the source-ref field of the update entry // with the source-ref filed of the entry that you want to update. If the source-ref // field doesn't match an existing entry, the entry is added to dataset as a // new entry. type DatasetChanges struct { _ struct{} `type:"structure"` // A Base64-encoded binary data object containing one or JSON lines that either // update the dataset or are additions to the dataset. You change a dataset // by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, // you don't need to encode Changes as the SDK encodes the data for you. // // For example JSON lines, see Image-Level labels in manifest files and and // Object localization in manifest files in the Amazon Rekognition Custom Labels // Developer Guide. // GroundTruth is automatically base64 encoded/decoded by the SDK. // // GroundTruth is a required field GroundTruth []byte `min:"1" type:"blob" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetChanges) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetChanges) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DatasetChanges) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DatasetChanges"} if s.GroundTruth == nil { invalidParams.Add(request.NewErrParamRequired("GroundTruth")) } if s.GroundTruth != nil && len(s.GroundTruth) < 1 { invalidParams.Add(request.NewErrParamMinLen("GroundTruth", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetGroundTruth sets the GroundTruth field's value. func (s DatasetChanges) SetGroundTruth(v []byte) DatasetChanges { s.GroundTruth = v return s } // A description for a dataset. For more information, see DescribeDataset. // // The status fields Status, StatusMessage, and StatusMessageCode reflect the // last operation on the dataset. type DatasetDescription struct { _ struct{} `type:"structure"` // The Unix timestamp for the time and date that the dataset was created. CreationTimestamp time.Time `type:"timestamp"` // The status message code for the dataset. DatasetStats DatasetStats `type:"structure"` // The Unix timestamp for the date and time that the dataset was last updated. LastUpdatedTimestamp time.Time `type:"timestamp"` // The status of the dataset. Status string `type:"string" enum:"DatasetStatus"` // The status message for the dataset. StatusMessage string `type:"string"` // The status message code for the dataset operation. If a service error occurs, // try the API call again later. If a client error occurs, check the input parameters // to the dataset API call that failed. StatusMessageCode string `type:"string" enum:"DatasetStatusMessageCode"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetDescription) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetDescription) GoString() string { return s.String() } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s DatasetDescription) SetCreationTimestamp(v time.Time) DatasetDescription { s.CreationTimestamp = &v return s } // SetDatasetStats sets the DatasetStats field's value. func (s DatasetDescription) SetDatasetStats(v DatasetStats) DatasetDescription { s.DatasetStats = v return s } // SetLastUpdatedTimestamp sets the LastUpdatedTimestamp field's value. func (s DatasetDescription) SetLastUpdatedTimestamp(v time.Time) DatasetDescription { s.LastUpdatedTimestamp = &v return s } // SetStatus sets the Status field's value. func (s DatasetDescription) SetStatus(v string) DatasetDescription { s.Status = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s DatasetDescription) SetStatusMessage(v string) DatasetDescription { s.StatusMessage = &v return s } // SetStatusMessageCode sets the StatusMessageCode field's value. func (s DatasetDescription) SetStatusMessageCode(v string) DatasetDescription { s.StatusMessageCode = &v return s } // Describes a dataset label. For more information, see ListDatasetLabels. type DatasetLabelDescription struct { _ struct{} `type:"structure"` // The name of the label. LabelName string `min:"1" type:"string"` // Statistics about the label. LabelStats DatasetLabelStats `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetLabelDescription) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetLabelDescription) GoString() string { return s.String() } // SetLabelName sets the LabelName field's value. func (s DatasetLabelDescription) SetLabelName(v string) DatasetLabelDescription { s.LabelName = &v return s } // SetLabelStats sets the LabelStats field's value. func (s DatasetLabelDescription) SetLabelStats(v DatasetLabelStats) DatasetLabelDescription { s.LabelStats = v return s } // Statistics about a label used in a dataset. For more information, see DatasetLabelDescription. type DatasetLabelStats struct { _ struct{} `type:"structure"` // The total number of images that have the label assigned to a bounding box. BoundingBoxCount int64 `type:"integer"` // The total number of images that use the label. EntryCount int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetLabelStats) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetLabelStats) GoString() string { return s.String() } // SetBoundingBoxCount sets the BoundingBoxCount field's value. func (s DatasetLabelStats) SetBoundingBoxCount(v int64) DatasetLabelStats { s.BoundingBoxCount = &v return s } // SetEntryCount sets the EntryCount field's value. func (s DatasetLabelStats) SetEntryCount(v int64) DatasetLabelStats { s.EntryCount = &v return s } // Summary information for an Amazon Rekognition Custom Labels dataset. For // more information, see ProjectDescription. type DatasetMetadata struct { _ struct{} `type:"structure"` // The Unix timestamp for the date and time that the dataset was created. CreationTimestamp time.Time `type:"timestamp"` // The Amazon Resource Name (ARN) for the dataset. DatasetArn string `min:"20" type:"string"` // The type of the dataset. DatasetType string `type:"string" enum:"DatasetType"` // The status for the dataset. Status string `type:"string" enum:"DatasetStatus"` // The status message for the dataset. StatusMessage string `type:"string"` // The status message code for the dataset operation. If a service error occurs, // try the API call again later. If a client error occurs, check the input parameters // to the dataset API call that failed. StatusMessageCode string `type:"string" enum:"DatasetStatusMessageCode"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetMetadata) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetMetadata) GoString() string { return s.String() } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s DatasetMetadata) SetCreationTimestamp(v time.Time) DatasetMetadata { s.CreationTimestamp = &v return s } // SetDatasetArn sets the DatasetArn field's value. func (s DatasetMetadata) SetDatasetArn(v string) DatasetMetadata { s.DatasetArn = &v return s } // SetDatasetType sets the DatasetType field's value. func (s DatasetMetadata) SetDatasetType(v string) DatasetMetadata { s.DatasetType = &v return s } // SetStatus sets the Status field's value. func (s DatasetMetadata) SetStatus(v string) DatasetMetadata { s.Status = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s DatasetMetadata) SetStatusMessage(v string) DatasetMetadata { s.StatusMessage = &v return s } // SetStatusMessageCode sets the StatusMessageCode field's value. func (s DatasetMetadata) SetStatusMessageCode(v string) DatasetMetadata { s.StatusMessageCode = &v return s } // The source that Amazon Rekognition Custom Labels uses to create a dataset. // To use an Amazon Sagemaker format manifest file, specify the S3 bucket location // in the GroundTruthManifest field. The S3 bucket must be in your AWS account. // To create a copy of an existing dataset, specify the Amazon Resource Name // (ARN) of an existing dataset in DatasetArn. // // You need to specify a value for DatasetArn or GroundTruthManifest, but not // both. if you supply both values, or if you don't specify any values, an InvalidParameterException // exception occurs. // // For more information, see CreateDataset. type DatasetSource struct { _ struct{} `type:"structure"` // The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy. DatasetArn string `min:"20" type:"string"` // The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest // file. GroundTruthManifest GroundTruthManifest `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetSource) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetSource) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DatasetSource) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DatasetSource"} if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if s.GroundTruthManifest != nil { if err := s.GroundTruthManifest.Validate(); err != nil { invalidParams.AddNested("GroundTruthManifest", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasetArn sets the DatasetArn field's value. func (s DatasetSource) SetDatasetArn(v string) DatasetSource { s.DatasetArn = &v return s } // SetGroundTruthManifest sets the GroundTruthManifest field's value. func (s DatasetSource) SetGroundTruthManifest(v GroundTruthManifest) DatasetSource { s.GroundTruthManifest = v return s } // Provides statistics about a dataset. For more information, see DescribeDataset. type DatasetStats struct { _ struct{} `type:"structure"` // The total number of entries that contain at least one error. ErrorEntries int64 `type:"integer"` // The total number of images in the dataset that have labels. LabeledEntries int64 `type:"integer"` // The total number of images in the dataset. TotalEntries int64 `type:"integer"` // The total number of labels declared in the dataset. TotalLabels int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetStats) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DatasetStats) GoString() string { return s.String() } // SetErrorEntries sets the ErrorEntries field's value. func (s DatasetStats) SetErrorEntries(v int64) DatasetStats { s.ErrorEntries = &v return s } // SetLabeledEntries sets the LabeledEntries field's value. func (s DatasetStats) SetLabeledEntries(v int64) DatasetStats { s.LabeledEntries = &v return s } // SetTotalEntries sets the TotalEntries field's value. func (s DatasetStats) SetTotalEntries(v int64) DatasetStats { s.TotalEntries = &v return s } // SetTotalLabels sets the TotalLabels field's value. func (s DatasetStats) SetTotalLabels(v int64) DatasetStats { s.TotalLabels = &v return s } type DeleteCollectionInput struct { _ struct{} `type:"structure"` // ID of the collection to delete. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteCollectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteCollectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteCollectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteCollectionInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s DeleteCollectionInput) SetCollectionId(v string) DeleteCollectionInput { s.CollectionId = &v return s } type DeleteCollectionOutput struct { _ struct{} `type:"structure"` // HTTP status code that indicates the result of the operation. StatusCode int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteCollectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteCollectionOutput) GoString() string { return s.String() } // SetStatusCode sets the StatusCode field's value. func (s DeleteCollectionOutput) SetStatusCode(v int64) DeleteCollectionOutput { s.StatusCode = &v return s } type DeleteDatasetInput struct { _ struct{} `type:"structure"` // The ARN of the Amazon Rekognition Custom Labels dataset that you want to // delete. // // DatasetArn is a required field DatasetArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteDatasetInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteDatasetInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteDatasetInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteDatasetInput"} if s.DatasetArn == nil { invalidParams.Add(request.NewErrParamRequired("DatasetArn")) } if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasetArn sets the DatasetArn field's value. func (s DeleteDatasetInput) SetDatasetArn(v string) DeleteDatasetInput { s.DatasetArn = &v return s } type DeleteDatasetOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteDatasetOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteDatasetOutput) GoString() string { return s.String() } type DeleteFacesInput struct { _ struct{} `type:"structure"` // Collection from which to remove the specific faces. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // An array of face IDs to delete. // // FaceIds is a required field FaceIds []string `min:"1" type:"list" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteFacesInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.FaceIds == nil { invalidParams.Add(request.NewErrParamRequired("FaceIds")) } if s.FaceIds != nil && len(s.FaceIds) < 1 { invalidParams.Add(request.NewErrParamMinLen("FaceIds", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s DeleteFacesInput) SetCollectionId(v string) DeleteFacesInput { s.CollectionId = &v return s } // SetFaceIds sets the FaceIds field's value. func (s DeleteFacesInput) SetFaceIds(v []string) DeleteFacesInput { s.FaceIds = v return s } type DeleteFacesOutput struct { _ struct{} `type:"structure"` // An array of strings (face IDs) of the faces that were deleted. DeletedFaces []string `min:"1" type:"list"` // An array of any faces that weren't deleted. UnsuccessfulFaceDeletions []UnsuccessfulFaceDeletion `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteFacesOutput) GoString() string { return s.String() } // SetDeletedFaces sets the DeletedFaces field's value. func (s DeleteFacesOutput) SetDeletedFaces(v []string) DeleteFacesOutput { s.DeletedFaces = v return s } // SetUnsuccessfulFaceDeletions sets the UnsuccessfulFaceDeletions field's value. func (s DeleteFacesOutput) SetUnsuccessfulFaceDeletions(v []UnsuccessfulFaceDeletion) DeleteFacesOutput { s.UnsuccessfulFaceDeletions = v return s } type DeleteProjectInput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the project that you want to delete. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteProjectInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteProjectInput"} if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetProjectArn sets the ProjectArn field's value. func (s DeleteProjectInput) SetProjectArn(v string) DeleteProjectInput { s.ProjectArn = &v return s } type DeleteProjectOutput struct { _ struct{} `type:"structure"` // The current status of the delete project operation. Status string `type:"string" enum:"ProjectStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectOutput) GoString() string { return s.String() } // SetStatus sets the Status field's value. func (s DeleteProjectOutput) SetStatus(v string) DeleteProjectOutput { s.Status = &v return s } type DeleteProjectPolicyInput struct { _ struct{} `type:"structure"` // The name of the policy that you want to delete. // // PolicyName is a required field PolicyName string `min:"1" type:"string" required:"true"` // The ID of the project policy revision that you want to delete. PolicyRevisionId string `type:"string"` // The Amazon Resource Name (ARN) of the project that the project policy you // want to delete is attached to. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectPolicyInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectPolicyInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteProjectPolicyInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteProjectPolicyInput"} if s.PolicyName == nil { invalidParams.Add(request.NewErrParamRequired("PolicyName")) } if s.PolicyName != nil && len(s.PolicyName) < 1 { invalidParams.Add(request.NewErrParamMinLen("PolicyName", 1)) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetPolicyName sets the PolicyName field's value. func (s DeleteProjectPolicyInput) SetPolicyName(v string) DeleteProjectPolicyInput { s.PolicyName = &v return s } // SetPolicyRevisionId sets the PolicyRevisionId field's value. func (s DeleteProjectPolicyInput) SetPolicyRevisionId(v string) DeleteProjectPolicyInput { s.PolicyRevisionId = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s DeleteProjectPolicyInput) SetProjectArn(v string) DeleteProjectPolicyInput { s.ProjectArn = &v return s } type DeleteProjectPolicyOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectPolicyOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectPolicyOutput) GoString() string { return s.String() } type DeleteProjectVersionInput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the project version that you want to delete. // // ProjectVersionArn is a required field ProjectVersionArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectVersionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectVersionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteProjectVersionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteProjectVersionInput"} if s.ProjectVersionArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectVersionArn")) } if s.ProjectVersionArn != nil && len(s.ProjectVersionArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersionArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s DeleteProjectVersionInput) SetProjectVersionArn(v string) DeleteProjectVersionInput { s.ProjectVersionArn = &v return s } type DeleteProjectVersionOutput struct { _ struct{} `type:"structure"` // The status of the deletion operation. Status string `type:"string" enum:"ProjectVersionStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectVersionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteProjectVersionOutput) GoString() string { return s.String() } // SetStatus sets the Status field's value. func (s DeleteProjectVersionOutput) SetStatus(v string) DeleteProjectVersionOutput { s.Status = &v return s } type DeleteStreamProcessorInput struct { _ struct{} `type:"structure"` // The name of the stream processor you want to delete. // // Name is a required field Name string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteStreamProcessorInput"} if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetName sets the Name field's value. func (s DeleteStreamProcessorInput) SetName(v string) DeleteStreamProcessorInput { s.Name = &v return s } type DeleteStreamProcessorOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteStreamProcessorOutput) GoString() string { return s.String() } type DeleteUserInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the request to DeleteUser. If you use the // same token with multiple DeleteUser requests, the same response is returned. // Use ClientRequestToken to prevent the same request from being processed more // than once. ClientRequestToken string `min:"1" type:"string" idempotencyToken:"true"` // The ID of an existing collection from which the UserID needs to be deleted. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // ID for the UserID to be deleted. // // UserId is a required field UserId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteUserInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteUserInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DeleteUserInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DeleteUserInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.UserId == nil { invalidParams.Add(request.NewErrParamRequired("UserId")) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s DeleteUserInput) SetClientRequestToken(v string) DeleteUserInput { s.ClientRequestToken = &v return s } // SetCollectionId sets the CollectionId field's value. func (s DeleteUserInput) SetCollectionId(v string) DeleteUserInput { s.CollectionId = &v return s } // SetUserId sets the UserId field's value. func (s DeleteUserInput) SetUserId(v string) DeleteUserInput { s.UserId = &v return s } type DeleteUserOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteUserOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DeleteUserOutput) GoString() string { return s.String() } type DescribeCollectionInput struct { _ struct{} `type:"structure"` // The ID of the collection to describe. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeCollectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeCollectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DescribeCollectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DescribeCollectionInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s DescribeCollectionInput) SetCollectionId(v string) DescribeCollectionInput { s.CollectionId = &v return s } type DescribeCollectionOutput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the collection. CollectionARN string `type:"string"` // The number of milliseconds since the Unix epoch time until the creation of // the collection. The Unix epoch time is 00:00:00 Coordinated Universal Time // (UTC), Thursday, 1 January 1970. CreationTimestamp time.Time `type:"timestamp"` // The number of faces that are indexed into the collection. To index faces // into a collection, use IndexFaces. FaceCount int64 `type:"long"` // The version of the face model that's used by the collection for face detection. // // For more information, see Model versioning in the Amazon Rekognition Developer // Guide. FaceModelVersion string `type:"string"` // The number of UserIDs assigned to the specified colleciton. UserCount int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeCollectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeCollectionOutput) GoString() string { return s.String() } // SetCollectionARN sets the CollectionARN field's value. func (s DescribeCollectionOutput) SetCollectionARN(v string) DescribeCollectionOutput { s.CollectionARN = &v return s } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s DescribeCollectionOutput) SetCreationTimestamp(v time.Time) DescribeCollectionOutput { s.CreationTimestamp = &v return s } // SetFaceCount sets the FaceCount field's value. func (s DescribeCollectionOutput) SetFaceCount(v int64) DescribeCollectionOutput { s.FaceCount = &v return s } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s DescribeCollectionOutput) SetFaceModelVersion(v string) DescribeCollectionOutput { s.FaceModelVersion = &v return s } // SetUserCount sets the UserCount field's value. func (s DescribeCollectionOutput) SetUserCount(v int64) DescribeCollectionOutput { s.UserCount = &v return s } type DescribeDatasetInput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the dataset that you want to describe. // // DatasetArn is a required field DatasetArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeDatasetInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeDatasetInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DescribeDatasetInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DescribeDatasetInput"} if s.DatasetArn == nil { invalidParams.Add(request.NewErrParamRequired("DatasetArn")) } if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasetArn sets the DatasetArn field's value. func (s DescribeDatasetInput) SetDatasetArn(v string) DescribeDatasetInput { s.DatasetArn = &v return s } type DescribeDatasetOutput struct { _ struct{} `type:"structure"` // The description for the dataset. DatasetDescription DatasetDescription `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeDatasetOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeDatasetOutput) GoString() string { return s.String() } // SetDatasetDescription sets the DatasetDescription field's value. func (s DescribeDatasetOutput) SetDatasetDescription(v DatasetDescription) DescribeDatasetOutput { s.DatasetDescription = v return s } type DescribeProjectVersionsInput struct { _ struct{} `type:"structure"` // The maximum number of results to return per paginated call. The largest value // you can specify is 100. If you specify a value greater than 100, a ValidationException // error occurs. The default value is 100. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition returns a pagination token in the response. // You can use this pagination token to retrieve the next set of results. NextToken string `type:"string"` // The Amazon Resource Name (ARN) of the project that contains the model/adapter // you want to describe. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` // A list of model or project version names that you want to describe. You can // add up to 10 model or project version names to the list. If you don't specify // a value, all project version descriptions are returned. A version name is // part of a project version ARN. For example, my-model.2020-01-21T09.10.15 // is the version name in the following ARN. arn:aws:rekognition:us-east-1:123456789012:project/getting-started/version/my-model.2020-01-21T09.10.15/1234567890123. VersionNames []string `min:"1" type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectVersionsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectVersionsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DescribeProjectVersionsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DescribeProjectVersionsInput"} if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if s.VersionNames != nil && len(s.VersionNames) < 1 { invalidParams.Add(request.NewErrParamMinLen("VersionNames", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxResults sets the MaxResults field's value. func (s DescribeProjectVersionsInput) SetMaxResults(v int64) DescribeProjectVersionsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s DescribeProjectVersionsInput) SetNextToken(v string) DescribeProjectVersionsInput { s.NextToken = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s DescribeProjectVersionsInput) SetProjectArn(v string) DescribeProjectVersionsInput { s.ProjectArn = &v return s } // SetVersionNames sets the VersionNames field's value. func (s DescribeProjectVersionsInput) SetVersionNames(v []string) DescribeProjectVersionsInput { s.VersionNames = v return s } type DescribeProjectVersionsOutput struct { _ struct{} `type:"structure"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition returns a pagination token in the response. // You can use this pagination token to retrieve the next set of results. NextToken string `type:"string"` // A list of project version descriptions. The list is sorted by the creation // date and time of the project versions, latest to earliest. ProjectVersionDescriptions []ProjectVersionDescription `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectVersionsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectVersionsOutput) GoString() string { return s.String() } // SetNextToken sets the NextToken field's value. func (s DescribeProjectVersionsOutput) SetNextToken(v string) DescribeProjectVersionsOutput { s.NextToken = &v return s } // SetProjectVersionDescriptions sets the ProjectVersionDescriptions field's value. func (s DescribeProjectVersionsOutput) SetProjectVersionDescriptions(v []ProjectVersionDescription) DescribeProjectVersionsOutput { s.ProjectVersionDescriptions = v return s } type DescribeProjectsInput struct { _ struct{} `type:"structure"` // Specifies the type of customization to filter projects by. If no value is // specified, CUSTOM_LABELS is used as a default. Features []string `min:"1" type:"list" enum:"CustomizationFeature"` // The maximum number of results to return per paginated call. The largest value // you can specify is 100. If you specify a value greater than 100, a ValidationException // error occurs. The default value is 100. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more results to // retrieve), Rekognition returns a pagination token in the response. You can // use this pagination token to retrieve the next set of results. NextToken string `type:"string"` // A list of the projects that you want Rekognition to describe. If you don't // specify a value, the response includes descriptions for all the projects // in your AWS account. ProjectNames []string `min:"1" type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DescribeProjectsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DescribeProjectsInput"} if s.Features != nil && len(s.Features) < 1 { invalidParams.Add(request.NewErrParamMinLen("Features", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if s.ProjectNames != nil && len(s.ProjectNames) < 1 { invalidParams.Add(request.NewErrParamMinLen("ProjectNames", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetFeatures sets the Features field's value. func (s DescribeProjectsInput) SetFeatures(v []string) DescribeProjectsInput { s.Features = v return s } // SetMaxResults sets the MaxResults field's value. func (s DescribeProjectsInput) SetMaxResults(v int64) DescribeProjectsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s DescribeProjectsInput) SetNextToken(v string) DescribeProjectsInput { s.NextToken = &v return s } // SetProjectNames sets the ProjectNames field's value. func (s DescribeProjectsInput) SetProjectNames(v []string) DescribeProjectsInput { s.ProjectNames = v return s } type DescribeProjectsOutput struct { _ struct{} `type:"structure"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition returns a pagination token in the response. // You can use this pagination token to retrieve the next set of results. NextToken string `type:"string"` // A list of project descriptions. The list is sorted by the date and time the // projects are created. ProjectDescriptions []ProjectDescription `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeProjectsOutput) GoString() string { return s.String() } // SetNextToken sets the NextToken field's value. func (s DescribeProjectsOutput) SetNextToken(v string) DescribeProjectsOutput { s.NextToken = &v return s } // SetProjectDescriptions sets the ProjectDescriptions field's value. func (s DescribeProjectsOutput) SetProjectDescriptions(v []ProjectDescription) DescribeProjectsOutput { s.ProjectDescriptions = v return s } type DescribeStreamProcessorInput struct { _ struct{} `type:"structure"` // Name of the stream processor for which you want information. // // Name is a required field Name string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DescribeStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DescribeStreamProcessorInput"} if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetName sets the Name field's value. func (s DescribeStreamProcessorInput) SetName(v string) DescribeStreamProcessorInput { s.Name = &v return s } type DescribeStreamProcessorOutput struct { _ struct{} `type:"structure"` // Date and time the stream processor was created CreationTimestamp time.Time `type:"timestamp"` // Shows whether you are sharing data with Rekognition to improve model performance. // You can choose this option at the account level or on a per-stream basis. // Note that if you opt out at the account level this setting is ignored on // individual streams. DataSharingPreference StreamProcessorDataSharingPreference `type:"structure"` // Kinesis video stream that provides the source streaming video. Input StreamProcessorInput `type:"structure"` // The identifier for your AWS Key Management Service key (AWS KMS key). This // is an optional parameter for label detection stream processors. KmsKeyId string `min:"1" type:"string"` // The time, in Unix format, the stream processor was last updated. For example, // when the stream processor moves from a running state to a failed state, or // when the user starts or stops the stream processor. LastUpdateTimestamp time.Time `type:"timestamp"` // Name of the stream processor. Name string `min:"1" type:"string"` // The Amazon Simple Notification Service topic to which Amazon Rekognition // publishes the object detection results and completion status of a video analysis // operation. // // Amazon Rekognition publishes a notification the first time an object of interest // or a person is detected in the video stream. For example, if Amazon Rekognition // detects a person at second 2, a pet at second 4, and a person again at second // 5, Amazon Rekognition sends 2 object class detected notifications, one for // a person at second 2 and one for a pet at second 4. // // Amazon Rekognition also publishes an an end-of-session notification with // a summary when the stream processing session is complete. NotificationChannel StreamProcessorNotificationChannel `type:"structure"` // Kinesis data stream to which Amazon Rekognition Video puts the analysis results. Output StreamProcessorOutput `type:"structure"` // Specifies locations in the frames where Amazon Rekognition checks for objects // or people. This is an optional parameter for label detection stream processors. RegionsOfInterest []RegionOfInterest `type:"list"` // ARN of the IAM role that allows access to the stream processor. RoleArn string `type:"string"` // Input parameters used in a streaming video analyzed by a stream processor. // You can use FaceSearch to recognize faces in a streaming video, or you can // use ConnectedHome to detect labels. Settings StreamProcessorSettings `type:"structure"` // Current status of the stream processor. Status string `type:"string" enum:"StreamProcessorStatus"` // Detailed status message about the stream processor. StatusMessage string `type:"string"` // ARN of the stream processor. StreamProcessorArn string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DescribeStreamProcessorOutput) GoString() string { return s.String() } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s DescribeStreamProcessorOutput) SetCreationTimestamp(v time.Time) DescribeStreamProcessorOutput { s.CreationTimestamp = &v return s } // SetDataSharingPreference sets the DataSharingPreference field's value. func (s DescribeStreamProcessorOutput) SetDataSharingPreference(v StreamProcessorDataSharingPreference) DescribeStreamProcessorOutput { s.DataSharingPreference = v return s } // SetInput sets the Input field's value. func (s DescribeStreamProcessorOutput) SetInput(v StreamProcessorInput) DescribeStreamProcessorOutput { s.Input = v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s DescribeStreamProcessorOutput) SetKmsKeyId(v string) DescribeStreamProcessorOutput { s.KmsKeyId = &v return s } // SetLastUpdateTimestamp sets the LastUpdateTimestamp field's value. func (s DescribeStreamProcessorOutput) SetLastUpdateTimestamp(v time.Time) DescribeStreamProcessorOutput { s.LastUpdateTimestamp = &v return s } // SetName sets the Name field's value. func (s DescribeStreamProcessorOutput) SetName(v string) DescribeStreamProcessorOutput { s.Name = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s DescribeStreamProcessorOutput) SetNotificationChannel(v StreamProcessorNotificationChannel) DescribeStreamProcessorOutput { s.NotificationChannel = v return s } // SetOutput sets the Output field's value. func (s DescribeStreamProcessorOutput) SetOutput(v StreamProcessorOutput) DescribeStreamProcessorOutput { s.Output = v return s } // SetRegionsOfInterest sets the RegionsOfInterest field's value. func (s DescribeStreamProcessorOutput) SetRegionsOfInterest(v []RegionOfInterest) DescribeStreamProcessorOutput { s.RegionsOfInterest = v return s } // SetRoleArn sets the RoleArn field's value. func (s DescribeStreamProcessorOutput) SetRoleArn(v string) DescribeStreamProcessorOutput { s.RoleArn = &v return s } // SetSettings sets the Settings field's value. func (s DescribeStreamProcessorOutput) SetSettings(v StreamProcessorSettings) DescribeStreamProcessorOutput { s.Settings = v return s } // SetStatus sets the Status field's value. func (s DescribeStreamProcessorOutput) SetStatus(v string) DescribeStreamProcessorOutput { s.Status = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s DescribeStreamProcessorOutput) SetStatusMessage(v string) DescribeStreamProcessorOutput { s.StatusMessage = &v return s } // SetStreamProcessorArn sets the StreamProcessorArn field's value. func (s DescribeStreamProcessorOutput) SetStreamProcessorArn(v string) DescribeStreamProcessorOutput { s.StreamProcessorArn = &v return s } type DetectCustomLabelsInput struct { _ struct{} `type:"structure"` // Provides the input image either as bytes or an S3 object. // // You pass image bytes to an Amazon Rekognition API operation by using the // Bytes property. For example, you would use the Bytes property to pass an // image loaded from a local file system. Image bytes passed by using the Bytes // property must be base64-encoded. Your code may not need to encode image bytes // if you are using an AWS SDK to call Amazon Rekognition API operations. // // For more information, see Analyzing an Image Loaded from a Local File System // in the Amazon Rekognition Developer Guide. // // You pass images stored in an S3 bucket to an Amazon Rekognition API operation // by using the S3Object property. Images stored in an S3 bucket do not need // to be base64-encoded. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // If you use the AWS CLI to call Amazon Rekognition operations, passing image // bytes using the Bytes property is not supported. You must first upload the // image to an Amazon S3 bucket and then call the operation using the S3Object // property. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. // // Image is a required field Image Image `type:"structure" required:"true"` // Maximum number of results you want the service to return in the response. // The service returns the specified number of highest confidence labels ranked // from highest confidence to lowest. MaxResults int64 `type:"integer"` // Specifies the minimum confidence level for the labels to return. DetectCustomLabels // doesn't return any labels with a confidence value that's lower than this // specified value. If you specify a value of 0, DetectCustomLabels returns // all labels, regardless of the assumed threshold applied to each label. If // you don't specify a value for MinConfidence, DetectCustomLabels returns labels // based on the assumed threshold of each label. MinConfidence float64 `type:"float"` // The ARN of the model version that you want to use. Only models associated // with Custom Labels projects accepted by the operation. If a provided ARN // refers to a model version associated with a project for a different feature // type, then an InvalidParameterException is returned. // // ProjectVersionArn is a required field ProjectVersionArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectCustomLabelsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectCustomLabelsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectCustomLabelsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectCustomLabelsInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.ProjectVersionArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectVersionArn")) } if s.ProjectVersionArn != nil && len(s.ProjectVersionArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersionArn", 20)) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetImage sets the Image field's value. func (s DetectCustomLabelsInput) SetImage(v Image) DetectCustomLabelsInput { s.Image = v return s } // SetMaxResults sets the MaxResults field's value. func (s DetectCustomLabelsInput) SetMaxResults(v int64) DetectCustomLabelsInput { s.MaxResults = &v return s } // SetMinConfidence sets the MinConfidence field's value. func (s DetectCustomLabelsInput) SetMinConfidence(v float64) DetectCustomLabelsInput { s.MinConfidence = &v return s } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s DetectCustomLabelsInput) SetProjectVersionArn(v string) DetectCustomLabelsInput { s.ProjectVersionArn = &v return s } type DetectCustomLabelsOutput struct { _ struct{} `type:"structure"` // An array of custom labels detected in the input image. CustomLabels []CustomLabel `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectCustomLabelsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectCustomLabelsOutput) GoString() string { return s.String() } // SetCustomLabels sets the CustomLabels field's value. func (s DetectCustomLabelsOutput) SetCustomLabels(v []CustomLabel) DetectCustomLabelsOutput { s.CustomLabels = v return s } type DetectFacesInput struct { _ struct{} `type:"structure"` // An array of facial attributes you want to be returned. A DEFAULT subset of // facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks // - will always be returned. You can request for specific facial attributes // (in addition to the default list) - by using ["DEFAULT", "FACE_OCCLUDED"] // or just ["FACE_OCCLUDED"]. You can request for all facial attributes by using // ["ALL"]. Requesting more attributes may increase response time. // // If you provide both, ["ALL", "DEFAULT"], the service uses a logical "AND" // operator to determine which attributes to return (in this case, all attributes). // // Note that while the FaceOccluded and EyeDirection attributes are supported // when using DetectFaces, they aren't supported when analyzing videos with // StartFaceDetection and GetFaceDetection. Attributes []string `type:"list" enum:"Attribute"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectFacesInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAttributes sets the Attributes field's value. func (s DetectFacesInput) SetAttributes(v []string) DetectFacesInput { s.Attributes = v return s } // SetImage sets the Image field's value. func (s DetectFacesInput) SetImage(v Image) DetectFacesInput { s.Image = v return s } type DetectFacesOutput struct { _ struct{} `type:"structure"` // Details of each face found in the image. FaceDetails []FaceDetail `type:"list"` // The value of OrientationCorrection is always null. // // If the input image is in .jpeg format, it might contain exchangeable image // file format (Exif) metadata that includes the image's orientation. Amazon // Rekognition uses this orientation information to perform image correction. // The bounding box coordinates are translated to represent object locations // after the orientation information in the Exif metadata is used to correct // the image orientation. Images in .png format don't contain Exif metadata. // // Amazon Rekognition doesn’t perform image correction for images in .png // format and .jpeg images without orientation information in the image Exif // metadata. The bounding box coordinates aren't translated and represent the // object locations before the image is rotated. OrientationCorrection string `type:"string" enum:"OrientationCorrection"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectFacesOutput) GoString() string { return s.String() } // SetFaceDetails sets the FaceDetails field's value. func (s DetectFacesOutput) SetFaceDetails(v []FaceDetail) DetectFacesOutput { s.FaceDetails = v return s } // SetOrientationCorrection sets the OrientationCorrection field's value. func (s DetectFacesOutput) SetOrientationCorrection(v string) DetectFacesOutput { s.OrientationCorrection = &v return s } // The background of the image with regard to image quality and dominant colors. type DetectLabelsImageBackground struct { _ struct{} `type:"structure"` // The dominant colors found in the background of an image, defined with RGB // values, CSS color name, simplified color name, and PixelPercentage (the percentage // of image pixels that have a particular color). DominantColors []DominantColor `type:"list"` // The quality of the image background as defined by brightness and sharpness. Quality DetectLabelsImageQuality `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageBackground) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageBackground) GoString() string { return s.String() } // SetDominantColors sets the DominantColors field's value. func (s DetectLabelsImageBackground) SetDominantColors(v []DominantColor) DetectLabelsImageBackground { s.DominantColors = v return s } // SetQuality sets the Quality field's value. func (s DetectLabelsImageBackground) SetQuality(v DetectLabelsImageQuality) DetectLabelsImageBackground { s.Quality = v return s } // The foreground of the image with regard to image quality and dominant colors. type DetectLabelsImageForeground struct { _ struct{} `type:"structure"` // The dominant colors found in the foreground of an image, defined with RGB // values, CSS color name, simplified color name, and PixelPercentage (the percentage // of image pixels that have a particular color). DominantColors []DominantColor `type:"list"` // The quality of the image foreground as defined by brightness and sharpness. Quality DetectLabelsImageQuality `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageForeground) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageForeground) GoString() string { return s.String() } // SetDominantColors sets the DominantColors field's value. func (s DetectLabelsImageForeground) SetDominantColors(v []DominantColor) DetectLabelsImageForeground { s.DominantColors = v return s } // SetQuality sets the Quality field's value. func (s DetectLabelsImageForeground) SetQuality(v DetectLabelsImageQuality) DetectLabelsImageForeground { s.Quality = v return s } // Information about the quality and dominant colors of an input image. Quality // and color information is returned for the entire image, foreground, and background. type DetectLabelsImageProperties struct { _ struct{} `type:"structure"` // Information about the properties of an image’s background, including the // background’s quality and dominant colors, including the quality and dominant // colors of the image. Background DetectLabelsImageBackground `type:"structure"` // Information about the dominant colors found in an image, described with RGB // values, CSS color name, simplified color name, and PixelPercentage (the percentage // of image pixels that have a particular color). DominantColors []DominantColor `type:"list"` // Information about the properties of an image’s foreground, including the // foreground’s quality and dominant colors, including the quality and dominant // colors of the image. Foreground DetectLabelsImageForeground `type:"structure"` // Information about the quality of the image foreground as defined by brightness, // sharpness, and contrast. The higher the value the greater the brightness, // sharpness, and contrast respectively. Quality DetectLabelsImageQuality `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageProperties) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageProperties) GoString() string { return s.String() } // SetBackground sets the Background field's value. func (s DetectLabelsImageProperties) SetBackground(v DetectLabelsImageBackground) DetectLabelsImageProperties { s.Background = v return s } // SetDominantColors sets the DominantColors field's value. func (s DetectLabelsImageProperties) SetDominantColors(v []DominantColor) DetectLabelsImageProperties { s.DominantColors = v return s } // SetForeground sets the Foreground field's value. func (s DetectLabelsImageProperties) SetForeground(v DetectLabelsImageForeground) DetectLabelsImageProperties { s.Foreground = v return s } // SetQuality sets the Quality field's value. func (s DetectLabelsImageProperties) SetQuality(v DetectLabelsImageQuality) DetectLabelsImageProperties { s.Quality = v return s } // Settings for the IMAGE_PROPERTIES feature type. type DetectLabelsImagePropertiesSettings struct { _ struct{} `type:"structure"` // The maximum number of dominant colors to return when detecting labels in // an image. The default value is 10. MaxDominantColors int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImagePropertiesSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImagePropertiesSettings) GoString() string { return s.String() } // SetMaxDominantColors sets the MaxDominantColors field's value. func (s DetectLabelsImagePropertiesSettings) SetMaxDominantColors(v int64) DetectLabelsImagePropertiesSettings { s.MaxDominantColors = &v return s } // The quality of an image provided for label detection, with regard to brightness, // sharpness, and contrast. type DetectLabelsImageQuality struct { _ struct{} `type:"structure"` // The brightness of an image provided for label detection. Brightness float64 `type:"float"` // The contrast of an image provided for label detection. Contrast float64 `type:"float"` // The sharpness of an image provided for label detection. Sharpness float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageQuality) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsImageQuality) GoString() string { return s.String() } // SetBrightness sets the Brightness field's value. func (s DetectLabelsImageQuality) SetBrightness(v float64) DetectLabelsImageQuality { s.Brightness = &v return s } // SetContrast sets the Contrast field's value. func (s DetectLabelsImageQuality) SetContrast(v float64) DetectLabelsImageQuality { s.Contrast = &v return s } // SetSharpness sets the Sharpness field's value. func (s DetectLabelsImageQuality) SetSharpness(v float64) DetectLabelsImageQuality { s.Sharpness = &v return s } type DetectLabelsInput struct { _ struct{} `type:"structure"` // A list of the types of analysis to perform. Specifying GENERAL_LABELS uses // the label detection feature, while specifying IMAGE_PROPERTIES returns information // regarding image color and quality. If no option is specified GENERAL_LABELS // is used by default. Features []string `type:"list" enum:"DetectLabelsFeatureName"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing image bytes is not supported. // Images stored in an S3 Bucket do not need to be base64-encoded. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` // Maximum number of labels you want the service to return in the response. // The service returns the specified number of highest confidence labels. Only // valid when GENERAL_LABELS is specified as a feature type in the Feature input // parameter. MaxLabels int64 `type:"integer"` // Specifies the minimum confidence level for the labels to return. Amazon Rekognition // doesn't return any labels with confidence lower than this specified value. // // If MinConfidence is not specified, the operation returns labels with a confidence // values greater than or equal to 55 percent. Only valid when GENERAL_LABELS // is specified as a feature type in the Feature input parameter. MinConfidence float64 `type:"float"` // A list of the filters to be applied to returned detected labels and image // properties. Specified filters can be inclusive, exclusive, or a combination // of both. Filters can be used for individual labels or label categories. The // exact label names or label categories must be supplied. For a full list of // labels and label categories, see Detecting labels (https://docs.aws.amazon.com/rekognition/latest/dg/labels.html). Settings DetectLabelsSettings `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectLabelsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectLabelsInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetFeatures sets the Features field's value. func (s DetectLabelsInput) SetFeatures(v []string) DetectLabelsInput { s.Features = v return s } // SetImage sets the Image field's value. func (s DetectLabelsInput) SetImage(v Image) DetectLabelsInput { s.Image = v return s } // SetMaxLabels sets the MaxLabels field's value. func (s DetectLabelsInput) SetMaxLabels(v int64) DetectLabelsInput { s.MaxLabels = &v return s } // SetMinConfidence sets the MinConfidence field's value. func (s DetectLabelsInput) SetMinConfidence(v float64) DetectLabelsInput { s.MinConfidence = &v return s } // SetSettings sets the Settings field's value. func (s DetectLabelsInput) SetSettings(v DetectLabelsSettings) DetectLabelsInput { s.Settings = v return s } type DetectLabelsOutput struct { _ struct{} `type:"structure"` // Information about the properties of the input image, such as brightness, // sharpness, contrast, and dominant colors. ImageProperties DetectLabelsImageProperties `type:"structure"` // Version number of the label detection model that was used to detect labels. LabelModelVersion string `type:"string"` // An array of labels for the real-world objects detected. Labels []Label `type:"list"` // The value of OrientationCorrection is always null. // // If the input image is in .jpeg format, it might contain exchangeable image // file format (Exif) metadata that includes the image's orientation. Amazon // Rekognition uses this orientation information to perform image correction. // The bounding box coordinates are translated to represent object locations // after the orientation information in the Exif metadata is used to correct // the image orientation. Images in .png format don't contain Exif metadata. // // Amazon Rekognition doesn’t perform image correction for images in .png // format and .jpeg images without orientation information in the image Exif // metadata. The bounding box coordinates aren't translated and represent the // object locations before the image is rotated. OrientationCorrection string `type:"string" enum:"OrientationCorrection"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsOutput) GoString() string { return s.String() } // SetImageProperties sets the ImageProperties field's value. func (s DetectLabelsOutput) SetImageProperties(v DetectLabelsImageProperties) DetectLabelsOutput { s.ImageProperties = v return s } // SetLabelModelVersion sets the LabelModelVersion field's value. func (s DetectLabelsOutput) SetLabelModelVersion(v string) DetectLabelsOutput { s.LabelModelVersion = &v return s } // SetLabels sets the Labels field's value. func (s DetectLabelsOutput) SetLabels(v []Label) DetectLabelsOutput { s.Labels = v return s } // SetOrientationCorrection sets the OrientationCorrection field's value. func (s DetectLabelsOutput) SetOrientationCorrection(v string) DetectLabelsOutput { s.OrientationCorrection = &v return s } // Settings for the DetectLabels request. Settings can include filters for both // GENERAL_LABELS and IMAGE_PROPERTIES. GENERAL_LABELS filters can be inclusive // or exclusive and applied to individual labels or label categories. IMAGE_PROPERTIES // filters allow specification of a maximum number of dominant colors. type DetectLabelsSettings struct { _ struct{} `type:"structure"` // Contains the specified filters for GENERAL_LABELS. GeneralLabels GeneralLabelsSettings `type:"structure"` // Contains the chosen number of maximum dominant colors in an image. ImageProperties DetectLabelsImagePropertiesSettings `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectLabelsSettings) GoString() string { return s.String() } // SetGeneralLabels sets the GeneralLabels field's value. func (s DetectLabelsSettings) SetGeneralLabels(v GeneralLabelsSettings) DetectLabelsSettings { s.GeneralLabels = v return s } // SetImageProperties sets the ImageProperties field's value. func (s DetectLabelsSettings) SetImageProperties(v DetectLabelsImagePropertiesSettings) DetectLabelsSettings { s.ImageProperties = v return s } type DetectModerationLabelsInput struct { _ struct{} `type:"structure"` // Sets up the configuration for human evaluation, including the FlowDefinition // the image will be sent to. HumanLoopConfig HumanLoopConfig `type:"structure"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` // Specifies the minimum confidence level for the labels to return. Amazon Rekognition // doesn't return any labels with a confidence level lower than this specified // value. // // If you don't specify MinConfidence, the operation returns labels with confidence // values greater than or equal to 50 percent. MinConfidence float64 `type:"float"` // Identifier for the custom adapter. Expects the ProjectVersionArn as a value. // Use the CreateProject or CreateProjectVersion APIs to create a custom adapter. ProjectVersion string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectModerationLabelsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectModerationLabelsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectModerationLabelsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectModerationLabelsInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.ProjectVersion != nil && len(s.ProjectVersion) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersion", 20)) } if s.HumanLoopConfig != nil { if err := s.HumanLoopConfig.Validate(); err != nil { invalidParams.AddNested("HumanLoopConfig", err.(request.ErrInvalidParams)) } } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetHumanLoopConfig sets the HumanLoopConfig field's value. func (s DetectModerationLabelsInput) SetHumanLoopConfig(v HumanLoopConfig) DetectModerationLabelsInput { s.HumanLoopConfig = v return s } // SetImage sets the Image field's value. func (s DetectModerationLabelsInput) SetImage(v Image) DetectModerationLabelsInput { s.Image = v return s } // SetMinConfidence sets the MinConfidence field's value. func (s DetectModerationLabelsInput) SetMinConfidence(v float64) DetectModerationLabelsInput { s.MinConfidence = &v return s } // SetProjectVersion sets the ProjectVersion field's value. func (s DetectModerationLabelsInput) SetProjectVersion(v string) DetectModerationLabelsInput { s.ProjectVersion = &v return s } type DetectModerationLabelsOutput struct { _ struct{} `type:"structure"` // A list of predicted results for the type of content an image contains. For // example, the image content might be from animation, sports, or a video game. ContentTypes []ContentType `type:"list"` // Shows the results of the human in the loop evaluation. HumanLoopActivationOutput HumanLoopActivationOutput `type:"structure"` // Array of detected Moderation labels. For video operations, this includes // the time, in milliseconds from the start of the video, they were detected. ModerationLabels []ModerationLabel `type:"list"` // Version number of the base moderation detection model that was used to detect // unsafe content. ModerationModelVersion string `type:"string"` // Identifier of the custom adapter that was used during inference. If during // inference the adapter was EXPIRED, then the parameter will not be returned, // indicating that a base moderation detection project version was used. ProjectVersion string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectModerationLabelsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectModerationLabelsOutput) GoString() string { return s.String() } // SetContentTypes sets the ContentTypes field's value. func (s DetectModerationLabelsOutput) SetContentTypes(v []ContentType) DetectModerationLabelsOutput { s.ContentTypes = v return s } // SetHumanLoopActivationOutput sets the HumanLoopActivationOutput field's value. func (s DetectModerationLabelsOutput) SetHumanLoopActivationOutput(v HumanLoopActivationOutput) DetectModerationLabelsOutput { s.HumanLoopActivationOutput = v return s } // SetModerationLabels sets the ModerationLabels field's value. func (s DetectModerationLabelsOutput) SetModerationLabels(v []ModerationLabel) DetectModerationLabelsOutput { s.ModerationLabels = v return s } // SetModerationModelVersion sets the ModerationModelVersion field's value. func (s DetectModerationLabelsOutput) SetModerationModelVersion(v string) DetectModerationLabelsOutput { s.ModerationModelVersion = &v return s } // SetProjectVersion sets the ProjectVersion field's value. func (s DetectModerationLabelsOutput) SetProjectVersion(v string) DetectModerationLabelsOutput { s.ProjectVersion = &v return s } type DetectProtectiveEquipmentInput struct { _ struct{} `type:"structure"` // The image in which you want to detect PPE on detected persons. The image // can be passed as image bytes or you can reference an image stored in an Amazon // S3 bucket. // // Image is a required field Image Image `type:"structure" required:"true"` // An array of PPE types that you want to summarize. SummarizationAttributes ProtectiveEquipmentSummarizationAttributes `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectProtectiveEquipmentInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectProtectiveEquipmentInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectProtectiveEquipmentInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectProtectiveEquipmentInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if s.SummarizationAttributes != nil { if err := s.SummarizationAttributes.Validate(); err != nil { invalidParams.AddNested("SummarizationAttributes", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetImage sets the Image field's value. func (s DetectProtectiveEquipmentInput) SetImage(v Image) DetectProtectiveEquipmentInput { s.Image = v return s } // SetSummarizationAttributes sets the SummarizationAttributes field's value. func (s DetectProtectiveEquipmentInput) SetSummarizationAttributes(v ProtectiveEquipmentSummarizationAttributes) DetectProtectiveEquipmentInput { s.SummarizationAttributes = v return s } type DetectProtectiveEquipmentOutput struct { _ struct{} `type:"structure"` // An array of persons detected in the image (including persons not wearing // PPE). Persons []ProtectiveEquipmentPerson `type:"list"` // The version number of the PPE detection model used to detect PPE in the image. ProtectiveEquipmentModelVersion string `type:"string"` // Summary information for the types of PPE specified in the SummarizationAttributes // input parameter. Summary ProtectiveEquipmentSummary `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectProtectiveEquipmentOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectProtectiveEquipmentOutput) GoString() string { return s.String() } // SetPersons sets the Persons field's value. func (s DetectProtectiveEquipmentOutput) SetPersons(v []ProtectiveEquipmentPerson) DetectProtectiveEquipmentOutput { s.Persons = v return s } // SetProtectiveEquipmentModelVersion sets the ProtectiveEquipmentModelVersion field's value. func (s DetectProtectiveEquipmentOutput) SetProtectiveEquipmentModelVersion(v string) DetectProtectiveEquipmentOutput { s.ProtectiveEquipmentModelVersion = &v return s } // SetSummary sets the Summary field's value. func (s DetectProtectiveEquipmentOutput) SetSummary(v ProtectiveEquipmentSummary) DetectProtectiveEquipmentOutput { s.Summary = v return s } // A set of optional parameters that you can use to set the criteria that the // text must meet to be included in your response. WordFilter looks at a word’s // height, width, and minimum confidence. RegionOfInterest lets you set a specific // region of the image to look for text in. type DetectTextFilters struct { _ struct{} `type:"structure"` // A Filter focusing on a certain area of the image. Uses a BoundingBox object // to set the region of the image. RegionsOfInterest []RegionOfInterest `type:"list"` // A set of parameters that allow you to filter out certain results from your // returned results. WordFilter DetectionFilter `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextFilters) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextFilters) GoString() string { return s.String() } // SetRegionsOfInterest sets the RegionsOfInterest field's value. func (s DetectTextFilters) SetRegionsOfInterest(v []RegionOfInterest) DetectTextFilters { s.RegionsOfInterest = v return s } // SetWordFilter sets the WordFilter field's value. func (s DetectTextFilters) SetWordFilter(v DetectionFilter) DetectTextFilters { s.WordFilter = v return s } type DetectTextInput struct { _ struct{} `type:"structure"` // Optional parameters that let you set the criteria that the text must meet // to be included in your response. Filters DetectTextFilters `type:"structure"` // The input image as base64-encoded bytes or an Amazon S3 object. If you use // the AWS CLI to call Amazon Rekognition operations, you can't pass image bytes. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DetectTextInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DetectTextInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetFilters sets the Filters field's value. func (s DetectTextInput) SetFilters(v DetectTextFilters) DetectTextInput { s.Filters = v return s } // SetImage sets the Image field's value. func (s DetectTextInput) SetImage(v Image) DetectTextInput { s.Image = v return s } type DetectTextOutput struct { _ struct{} `type:"structure"` // An array of text that was detected in the input image. TextDetections []TextDetection `type:"list"` // The model version used to detect text. TextModelVersion string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectTextOutput) GoString() string { return s.String() } // SetTextDetections sets the TextDetections field's value. func (s DetectTextOutput) SetTextDetections(v []TextDetection) DetectTextOutput { s.TextDetections = v return s } // SetTextModelVersion sets the TextModelVersion field's value. func (s DetectTextOutput) SetTextModelVersion(v string) DetectTextOutput { s.TextModelVersion = &v return s } // A set of parameters that allow you to filter out certain results from your // returned results. type DetectionFilter struct { _ struct{} `type:"structure"` // Sets the minimum height of the word bounding box. Words with bounding box // heights lesser than this value will be excluded from the result. Value is // relative to the video frame height. MinBoundingBoxHeight float64 `type:"float"` // Sets the minimum width of the word bounding box. Words with bounding boxes // widths lesser than this value will be excluded from the result. Value is // relative to the video frame width. MinBoundingBoxWidth float64 `type:"float"` // Sets the confidence of word detection. Words with detection confidence below // this will be excluded from the result. Values should be between 0 and 100. // The default MinConfidence is 80. MinConfidence float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectionFilter) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DetectionFilter) GoString() string { return s.String() } // SetMinBoundingBoxHeight sets the MinBoundingBoxHeight field's value. func (s DetectionFilter) SetMinBoundingBoxHeight(v float64) DetectionFilter { s.MinBoundingBoxHeight = &v return s } // SetMinBoundingBoxWidth sets the MinBoundingBoxWidth field's value. func (s DetectionFilter) SetMinBoundingBoxWidth(v float64) DetectionFilter { s.MinBoundingBoxWidth = &v return s } // SetMinConfidence sets the MinConfidence field's value. func (s DetectionFilter) SetMinConfidence(v float64) DetectionFilter { s.MinConfidence = &v return s } type DisassociateFacesInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the request to DisassociateFaces. If you // use the same token with multiple DisassociateFaces requests, the same response // is returned. Use ClientRequestToken to prevent the same request from being // processed more than once. ClientRequestToken string `min:"1" type:"string" idempotencyToken:"true"` // The ID of an existing collection containing the UserID. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // An array of face IDs to disassociate from the UserID. // // FaceIds is a required field FaceIds []string `min:"1" type:"list" required:"true"` // ID for the existing UserID. // // UserId is a required field UserId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociateFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociateFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DisassociateFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DisassociateFacesInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.FaceIds == nil { invalidParams.Add(request.NewErrParamRequired("FaceIds")) } if s.FaceIds != nil && len(s.FaceIds) < 1 { invalidParams.Add(request.NewErrParamMinLen("FaceIds", 1)) } if s.UserId == nil { invalidParams.Add(request.NewErrParamRequired("UserId")) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s DisassociateFacesInput) SetClientRequestToken(v string) DisassociateFacesInput { s.ClientRequestToken = &v return s } // SetCollectionId sets the CollectionId field's value. func (s DisassociateFacesInput) SetCollectionId(v string) DisassociateFacesInput { s.CollectionId = &v return s } // SetFaceIds sets the FaceIds field's value. func (s DisassociateFacesInput) SetFaceIds(v []string) DisassociateFacesInput { s.FaceIds = v return s } // SetUserId sets the UserId field's value. func (s DisassociateFacesInput) SetUserId(v string) DisassociateFacesInput { s.UserId = &v return s } type DisassociateFacesOutput struct { _ struct{} `type:"structure"` // An array of DissociatedFace objects containing FaceIds that are successfully // disassociated with the UserID is returned. Returned if the DisassociatedFaces // action is successful. DisassociatedFaces []DisassociatedFace `type:"list"` // An array of UnsuccessfulDisassociation objects containing FaceIds that are // not successfully associated, along with the reasons for the failure to associate. // Returned if the DisassociateFaces action is successful. UnsuccessfulFaceDisassociations []UnsuccessfulFaceDisassociation `type:"list"` // The status of an update made to a User. Reflects if the User has been updated // for every requested change. UserStatus string `type:"string" enum:"UserStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociateFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociateFacesOutput) GoString() string { return s.String() } // SetDisassociatedFaces sets the DisassociatedFaces field's value. func (s DisassociateFacesOutput) SetDisassociatedFaces(v []DisassociatedFace) DisassociateFacesOutput { s.DisassociatedFaces = v return s } // SetUnsuccessfulFaceDisassociations sets the UnsuccessfulFaceDisassociations field's value. func (s DisassociateFacesOutput) SetUnsuccessfulFaceDisassociations(v []UnsuccessfulFaceDisassociation) DisassociateFacesOutput { s.UnsuccessfulFaceDisassociations = v return s } // SetUserStatus sets the UserStatus field's value. func (s DisassociateFacesOutput) SetUserStatus(v string) DisassociateFacesOutput { s.UserStatus = &v return s } // Provides face metadata for the faces that are disassociated from a specific // UserID. type DisassociatedFace struct { _ struct{} `type:"structure"` // Unique identifier assigned to the face. FaceId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociatedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DisassociatedFace) GoString() string { return s.String() } // SetFaceId sets the FaceId field's value. func (s DisassociatedFace) SetFaceId(v string) DisassociatedFace { s.FaceId = &v return s } // A training dataset or a test dataset used in a dataset distribution operation. // For more information, see DistributeDatasetEntries. type DistributeDataset struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the dataset that you want to use. // // Arn is a required field Arn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDataset) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDataset) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DistributeDataset) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DistributeDataset"} if s.Arn == nil { invalidParams.Add(request.NewErrParamRequired("Arn")) } if s.Arn != nil && len(s.Arn) < 20 { invalidParams.Add(request.NewErrParamMinLen("Arn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetArn sets the Arn field's value. func (s DistributeDataset) SetArn(v string) DistributeDataset { s.Arn = &v return s } type DistributeDatasetEntriesInput struct { _ struct{} `type:"structure"` // The ARNS for the training dataset and test dataset that you want to use. // The datasets must belong to the same project. The test dataset must be empty. // // Datasets is a required field Datasets []DistributeDataset `min:"2" type:"list" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDatasetEntriesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDatasetEntriesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s DistributeDatasetEntriesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "DistributeDatasetEntriesInput"} if s.Datasets == nil { invalidParams.Add(request.NewErrParamRequired("Datasets")) } if s.Datasets != nil && len(s.Datasets) < 2 { invalidParams.Add(request.NewErrParamMinLen("Datasets", 2)) } if s.Datasets != nil { for i, v := range s.Datasets { if v == nil { continue } if err := v.Validate(); err != nil { invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Datasets", i), err.(request.ErrInvalidParams)) } } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasets sets the Datasets field's value. func (s DistributeDatasetEntriesInput) SetDatasets(v []DistributeDataset) DistributeDatasetEntriesInput { s.Datasets = v return s } type DistributeDatasetEntriesOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDatasetEntriesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DistributeDatasetEntriesOutput) GoString() string { return s.String() } // A description of the dominant colors in an image. type DominantColor struct { _ struct{} `type:"structure"` // The Blue RGB value for a dominant color. Blue int64 `type:"integer"` // The CSS color name of a dominant color. CSSColor string `type:"string"` // The Green RGB value for a dominant color. Green int64 `type:"integer"` // The Hex code equivalent of the RGB values for a dominant color. HexCode string `type:"string"` // The percentage of image pixels that have a given dominant color. PixelPercent float64 `type:"float"` // The Red RGB value for a dominant color. Red int64 `type:"integer"` // One of 12 simplified color names applied to a dominant color. SimplifiedColor string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DominantColor) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s DominantColor) GoString() string { return s.String() } // SetBlue sets the Blue field's value. func (s DominantColor) SetBlue(v int64) DominantColor { s.Blue = &v return s } // SetCSSColor sets the CSSColor field's value. func (s DominantColor) SetCSSColor(v string) DominantColor { s.CSSColor = &v return s } // SetGreen sets the Green field's value. func (s DominantColor) SetGreen(v int64) DominantColor { s.Green = &v return s } // SetHexCode sets the HexCode field's value. func (s DominantColor) SetHexCode(v string) DominantColor { s.HexCode = &v return s } // SetPixelPercent sets the PixelPercent field's value. func (s DominantColor) SetPixelPercent(v float64) DominantColor { s.PixelPercent = &v return s } // SetRed sets the Red field's value. func (s DominantColor) SetRed(v int64) DominantColor { s.Red = &v return s } // SetSimplifiedColor sets the SimplifiedColor field's value. func (s DominantColor) SetSimplifiedColor(v string) DominantColor { s.SimplifiedColor = &v return s } // The emotions that appear to be expressed on the face, and the confidence // level in the determination. The API is only making a determination of the // physical appearance of a person's face. It is not a determination of the // person’s internal emotional state and should not be used in such a way. // For example, a person pretending to have a sad face might not be sad emotionally. type Emotion struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Type of emotion detected. Type string `type:"string" enum:"EmotionName"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Emotion) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Emotion) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Emotion) SetConfidence(v float64) Emotion { s.Confidence = &v return s } // SetType sets the Type field's value. func (s Emotion) SetType(v string) Emotion { s.Type = &v return s } // Information about an item of Personal Protective Equipment (PPE) detected // by DetectProtectiveEquipment. For more information, see DetectProtectiveEquipment. type EquipmentDetection struct { _ struct{} `type:"structure"` // A bounding box surrounding the item of detected PPE. BoundingBox BoundingBox `type:"structure"` // The confidence that Amazon Rekognition has that the bounding box (BoundingBox) // contains an item of PPE. Confidence float64 `type:"float"` // Information about the body part covered by the detected PPE. CoversBodyPart CoversBodyPart `type:"structure"` // The type of detected PPE. Type string `type:"string" enum:"ProtectiveEquipmentType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EquipmentDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EquipmentDetection) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s EquipmentDetection) SetBoundingBox(v BoundingBox) EquipmentDetection { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s EquipmentDetection) SetConfidence(v float64) EquipmentDetection { s.Confidence = &v return s } // SetCoversBodyPart sets the CoversBodyPart field's value. func (s EquipmentDetection) SetCoversBodyPart(v CoversBodyPart) EquipmentDetection { s.CoversBodyPart = v return s } // SetType sets the Type field's value. func (s EquipmentDetection) SetType(v string) EquipmentDetection { s.Type = &v return s } // The evaluation results for the training of a model. type EvaluationResult struct { _ struct{} `type:"structure"` // The F1 score for the evaluation of all labels. The F1 score metric evaluates // the overall precision and recall performance of the model as a single value. // A higher value indicates better precision and recall performance. A lower // score indicates that precision, recall, or both are performing poorly. F1Score float64 `type:"float"` // The S3 bucket that contains the training summary. Summary Summary `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EvaluationResult) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EvaluationResult) GoString() string { return s.String() } // SetF1Score sets the F1Score field's value. func (s EvaluationResult) SetF1Score(v float64) EvaluationResult { s.F1Score = &v return s } // SetSummary sets the Summary field's value. func (s EvaluationResult) SetSummary(v Summary) EvaluationResult { s.Summary = v return s } // Indicates the direction the eyes are gazing in (independent of the head pose) // as determined by its pitch and yaw. type EyeDirection struct { _ struct{} `type:"structure"` // The confidence that the service has in its predicted eye direction. Confidence float64 `type:"float"` // Value representing eye direction on the pitch axis. Pitch float64 `type:"float"` // Value representing eye direction on the yaw axis. Yaw float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EyeDirection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EyeDirection) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s EyeDirection) SetConfidence(v float64) EyeDirection { s.Confidence = &v return s } // SetPitch sets the Pitch field's value. func (s EyeDirection) SetPitch(v float64) EyeDirection { s.Pitch = &v return s } // SetYaw sets the Yaw field's value. func (s EyeDirection) SetYaw(v float64) EyeDirection { s.Yaw = &v return s } // Indicates whether or not the eyes on the face are open, and the confidence // level in the determination. type EyeOpen struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the eyes on the face are open. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EyeOpen) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s EyeOpen) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s EyeOpen) SetConfidence(v float64) EyeOpen { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s EyeOpen) SetValue(v bool) EyeOpen { s.Value = &v return s } // Indicates whether or not the face is wearing eye glasses, and the confidence // level in the determination. type Eyeglasses struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the face is wearing eye glasses or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Eyeglasses) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Eyeglasses) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Eyeglasses) SetConfidence(v float64) Eyeglasses { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Eyeglasses) SetValue(v bool) Eyeglasses { s.Value = &v return s } // Describes the face properties such as the bounding box, face ID, image ID // of the input image, and external image ID that you assigned. type Face struct { _ struct{} `type:"structure"` // Bounding box of the face. BoundingBox BoundingBox `type:"structure"` // Confidence level that the bounding box contains a face (and not a different // object such as a tree). Confidence float64 `type:"float"` // Identifier that you assign to all the faces in the input image. ExternalImageId string `min:"1" type:"string"` // Unique identifier that Amazon Rekognition assigns to the face. FaceId string `type:"string"` // Unique identifier that Amazon Rekognition assigns to the input image. ImageId string `type:"string"` // The version of the face detect and storage model that was used when indexing // the face vector. IndexFacesModelVersion string `type:"string"` // Unique identifier assigned to the user. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Face) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Face) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s Face) SetBoundingBox(v BoundingBox) Face { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s Face) SetConfidence(v float64) Face { s.Confidence = &v return s } // SetExternalImageId sets the ExternalImageId field's value. func (s Face) SetExternalImageId(v string) Face { s.ExternalImageId = &v return s } // SetFaceId sets the FaceId field's value. func (s Face) SetFaceId(v string) Face { s.FaceId = &v return s } // SetImageId sets the ImageId field's value. func (s Face) SetImageId(v string) Face { s.ImageId = &v return s } // SetIndexFacesModelVersion sets the IndexFacesModelVersion field's value. func (s Face) SetIndexFacesModelVersion(v string) Face { s.IndexFacesModelVersion = &v return s } // SetUserId sets the UserId field's value. func (s Face) SetUserId(v string) Face { s.UserId = &v return s } // Structure containing attributes of the face that the algorithm detected. // // A FaceDetail object contains either the default facial attributes or all // facial attributes. The default attributes are BoundingBox, Confidence, Landmarks, // Pose, and Quality. // // GetFaceDetection is the only Amazon Rekognition Video stored video operation // that can return a FaceDetail object with all attributes. To specify which // attributes to return, use the FaceAttributes input parameter for StartFaceDetection. // The following Amazon Rekognition Video operations return only the default // attributes. The corresponding Start operations don't have a FaceAttributes // input parameter: // // - GetCelebrityRecognition // // - GetPersonTracking // // - GetFaceSearch // // The Amazon Rekognition Image DetectFaces and IndexFaces operations can return // all facial attributes. To specify which attributes to return, use the Attributes // input parameter for DetectFaces. For IndexFaces, use the DetectAttributes // input parameter. type FaceDetail struct { _ struct{} `type:"structure"` // The estimated age range, in years, for the face. Low represents the lowest // estimated age and High represents the highest estimated age. AgeRange AgeRange `type:"structure"` // Indicates whether or not the face has a beard, and the confidence level in // the determination. Beard Beard `type:"structure"` // Bounding box of the face. Default attribute. BoundingBox BoundingBox `type:"structure"` // Confidence level that the bounding box contains a face (and not a different // object such as a tree). Default attribute. Confidence float64 `type:"float"` // The emotions that appear to be expressed on the face, and the confidence // level in the determination. The API is only making a determination of the // physical appearance of a person's face. It is not a determination of the // person’s internal emotional state and should not be used in such a way. // For example, a person pretending to have a sad face might not be sad emotionally. Emotions []Emotion `type:"list"` // Indicates the direction the eyes are gazing in, as defined by pitch and yaw. EyeDirection EyeDirection `type:"structure"` // Indicates whether or not the face is wearing eye glasses, and the confidence // level in the determination. Eyeglasses Eyeglasses `type:"structure"` // Indicates whether or not the eyes on the face are open, and the confidence // level in the determination. EyesOpen EyeOpen `type:"structure"` // FaceOccluded should return "true" with a high confidence score if a detected // face’s eyes, nose, and mouth are partially captured or if they are covered // by masks, dark sunglasses, cell phones, hands, or other objects. FaceOccluded // should return "false" with a high confidence score if common occurrences // that do not impact face verification are detected, such as eye glasses, lightly // tinted sunglasses, strands of hair, and others. FaceOccluded FaceOccluded `type:"structure"` // The predicted gender of a detected face. Gender Gender `type:"structure"` // Indicates the location of landmarks on the face. Default attribute. Landmarks []Landmark `type:"list"` // Indicates whether or not the mouth on the face is open, and the confidence // level in the determination. MouthOpen MouthOpen `type:"structure"` // Indicates whether or not the face has a mustache, and the confidence level // in the determination. Mustache Mustache `type:"structure"` // Indicates the pose of the face as determined by its pitch, roll, and yaw. // Default attribute. Pose Pose `type:"structure"` // Identifies image brightness and sharpness. Default attribute. Quality ImageQuality `type:"structure"` // Indicates whether or not the face is smiling, and the confidence level in // the determination. Smile Smile `type:"structure"` // Indicates whether or not the face is wearing sunglasses, and the confidence // level in the determination. Sunglasses Sunglasses `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceDetail) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceDetail) GoString() string { return s.String() } // SetAgeRange sets the AgeRange field's value. func (s FaceDetail) SetAgeRange(v AgeRange) FaceDetail { s.AgeRange = v return s } // SetBeard sets the Beard field's value. func (s FaceDetail) SetBeard(v Beard) FaceDetail { s.Beard = v return s } // SetBoundingBox sets the BoundingBox field's value. func (s FaceDetail) SetBoundingBox(v BoundingBox) FaceDetail { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s FaceDetail) SetConfidence(v float64) FaceDetail { s.Confidence = &v return s } // SetEmotions sets the Emotions field's value. func (s FaceDetail) SetEmotions(v []Emotion) FaceDetail { s.Emotions = v return s } // SetEyeDirection sets the EyeDirection field's value. func (s FaceDetail) SetEyeDirection(v EyeDirection) FaceDetail { s.EyeDirection = v return s } // SetEyeglasses sets the Eyeglasses field's value. func (s FaceDetail) SetEyeglasses(v Eyeglasses) FaceDetail { s.Eyeglasses = v return s } // SetEyesOpen sets the EyesOpen field's value. func (s FaceDetail) SetEyesOpen(v EyeOpen) FaceDetail { s.EyesOpen = v return s } // SetFaceOccluded sets the FaceOccluded field's value. func (s FaceDetail) SetFaceOccluded(v FaceOccluded) FaceDetail { s.FaceOccluded = v return s } // SetGender sets the Gender field's value. func (s FaceDetail) SetGender(v Gender) FaceDetail { s.Gender = v return s } // SetLandmarks sets the Landmarks field's value. func (s FaceDetail) SetLandmarks(v []Landmark) FaceDetail { s.Landmarks = v return s } // SetMouthOpen sets the MouthOpen field's value. func (s FaceDetail) SetMouthOpen(v MouthOpen) FaceDetail { s.MouthOpen = v return s } // SetMustache sets the Mustache field's value. func (s FaceDetail) SetMustache(v Mustache) FaceDetail { s.Mustache = v return s } // SetPose sets the Pose field's value. func (s FaceDetail) SetPose(v Pose) FaceDetail { s.Pose = v return s } // SetQuality sets the Quality field's value. func (s FaceDetail) SetQuality(v ImageQuality) FaceDetail { s.Quality = v return s } // SetSmile sets the Smile field's value. func (s FaceDetail) SetSmile(v Smile) FaceDetail { s.Smile = v return s } // SetSunglasses sets the Sunglasses field's value. func (s FaceDetail) SetSunglasses(v Sunglasses) FaceDetail { s.Sunglasses = v return s } // Information about a face detected in a video analysis request and the time // the face was detected in the video. type FaceDetection struct { _ struct{} `type:"structure"` // The face properties for the detected face. Face FaceDetail `type:"structure"` // Time, in milliseconds from the start of the video, that the face was detected. // Note that Timestamp is not guaranteed to be accurate to the individual frame // where the face first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceDetection) GoString() string { return s.String() } // SetFace sets the Face field's value. func (s FaceDetection) SetFace(v FaceDetail) FaceDetection { s.Face = v return s } // SetTimestamp sets the Timestamp field's value. func (s FaceDetection) SetTimestamp(v int64) FaceDetection { s.Timestamp = &v return s } // Provides face metadata. In addition, it also provides the confidence in the // match of this face with the input face. type FaceMatch struct { _ struct{} `type:"structure"` // Describes the face properties such as the bounding box, face ID, image ID // of the source image, and external image ID that you assigned. Face Face `type:"structure"` // Confidence in the match of this face with the input face. Similarity float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceMatch) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceMatch) GoString() string { return s.String() } // SetFace sets the Face field's value. func (s FaceMatch) SetFace(v Face) FaceMatch { s.Face = v return s } // SetSimilarity sets the Similarity field's value. func (s FaceMatch) SetSimilarity(v float64) FaceMatch { s.Similarity = &v return s } // FaceOccluded should return "true" with a high confidence score if a detected // face’s eyes, nose, and mouth are partially captured or if they are covered // by masks, dark sunglasses, cell phones, hands, or other objects. FaceOccluded // should return "false" with a high confidence score if common occurrences // that do not impact face verification are detected, such as eye glasses, lightly // tinted sunglasses, strands of hair, and others. // // You can use FaceOccluded to determine if an obstruction on a face negatively // impacts using the image for face matching. type FaceOccluded struct { _ struct{} `type:"structure"` // The confidence that the service has detected the presence of a face occlusion. Confidence float64 `type:"float"` // True if a detected face’s eyes, nose, and mouth are partially captured // or if they are covered by masks, dark sunglasses, cell phones, hands, or // other objects. False if common occurrences that do not impact face verification // are detected, such as eye glasses, lightly tinted sunglasses, strands of // hair, and others. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceOccluded) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceOccluded) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s FaceOccluded) SetConfidence(v float64) FaceOccluded { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s FaceOccluded) SetValue(v bool) FaceOccluded { s.Value = &v return s } // Object containing both the face metadata (stored in the backend database), // and facial attributes that are detected but aren't stored in the database. type FaceRecord struct { _ struct{} `type:"structure"` // Describes the face properties such as the bounding box, face ID, image ID // of the input image, and external image ID that you assigned. Face Face `type:"structure"` // Structure containing attributes of the face that the algorithm detected. FaceDetail FaceDetail `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceRecord) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceRecord) GoString() string { return s.String() } // SetFace sets the Face field's value. func (s FaceRecord) SetFace(v Face) FaceRecord { s.Face = v return s } // SetFaceDetail sets the FaceDetail field's value. func (s FaceRecord) SetFaceDetail(v FaceDetail) FaceRecord { s.FaceDetail = v return s } // Input face recognition parameters for an Amazon Rekognition stream processor. // Includes the collection to use for face recognition and the face attributes // to detect. Defining the settings is required in the request parameter for // CreateStreamProcessor. type FaceSearchSettings struct { _ struct{} `type:"structure"` // The ID of a collection that contains faces that you want to search for. CollectionId string `min:"1" type:"string"` // Minimum face match confidence score that must be met to return a result for // a recognized face. The default is 80. 0 is the lowest confidence. 100 is // the highest confidence. Values between 0 and 100 are accepted, and values // lower than 80 are set to 80. FaceMatchThreshold float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceSearchSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s FaceSearchSettings) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s FaceSearchSettings) Validate() error { invalidParams := request.ErrInvalidParams{Context: "FaceSearchSettings"} if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s FaceSearchSettings) SetCollectionId(v string) FaceSearchSettings { s.CollectionId = &v return s } // SetFaceMatchThreshold sets the FaceMatchThreshold field's value. func (s FaceSearchSettings) SetFaceMatchThreshold(v float64) FaceSearchSettings { s.FaceMatchThreshold = &v return s } // The predicted gender of a detected face. // // Amazon Rekognition makes gender binary (male/female) predictions based on // the physical appearance of a face in a particular image. This kind of prediction // is not designed to categorize a person’s gender identity, and you shouldn't // use Amazon Rekognition to make such a determination. For example, a male // actor wearing a long-haired wig and earrings for a role might be predicted // as female. // // Using Amazon Rekognition to make gender binary predictions is best suited // for use cases where aggregate gender distribution statistics need to be analyzed // without identifying specific users. For example, the percentage of female // users compared to male users on a social media platform. // // We don't recommend using gender binary predictions to make decisions that // impact an individual's rights, privacy, or access to services. type Gender struct { _ struct{} `type:"structure"` // Level of confidence in the prediction. Confidence float64 `type:"float"` // The predicted gender of the face. Value string `type:"string" enum:"GenderType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Gender) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Gender) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Gender) SetConfidence(v float64) Gender { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Gender) SetValue(v string) Gender { s.Value = &v return s } // Contains filters for the object labels returned by DetectLabels. Filters // can be inclusive, exclusive, or a combination of both and can be applied // to individual labels or entire label categories. To see a list of label categories, // see Detecting Labels (https://docs.aws.amazon.com/rekognition/latest/dg/labels.html). type GeneralLabelsSettings struct { _ struct{} `type:"structure"` // The label categories that should be excluded from the return from DetectLabels. LabelCategoryExclusionFilters []string `type:"list"` // The label categories that should be included in the return from DetectLabels. LabelCategoryInclusionFilters []string `type:"list"` // The labels that should be excluded from the return from DetectLabels. LabelExclusionFilters []string `type:"list"` // The labels that should be included in the return from DetectLabels. LabelInclusionFilters []string `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GeneralLabelsSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GeneralLabelsSettings) GoString() string { return s.String() } // SetLabelCategoryExclusionFilters sets the LabelCategoryExclusionFilters field's value. func (s GeneralLabelsSettings) SetLabelCategoryExclusionFilters(v []string) GeneralLabelsSettings { s.LabelCategoryExclusionFilters = v return s } // SetLabelCategoryInclusionFilters sets the LabelCategoryInclusionFilters field's value. func (s GeneralLabelsSettings) SetLabelCategoryInclusionFilters(v []string) GeneralLabelsSettings { s.LabelCategoryInclusionFilters = v return s } // SetLabelExclusionFilters sets the LabelExclusionFilters field's value. func (s GeneralLabelsSettings) SetLabelExclusionFilters(v []string) GeneralLabelsSettings { s.LabelExclusionFilters = v return s } // SetLabelInclusionFilters sets the LabelInclusionFilters field's value. func (s GeneralLabelsSettings) SetLabelInclusionFilters(v []string) GeneralLabelsSettings { s.LabelInclusionFilters = v return s } // Information about where an object (DetectCustomLabels) or text (DetectText) // is located on an image. type Geometry struct { _ struct{} `type:"structure"` // An axis-aligned coarse representation of the detected item's location on // the image. BoundingBox BoundingBox `type:"structure"` // Within the bounding box, a fine-grained polygon around the detected item. Polygon []Point `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Geometry) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Geometry) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s Geometry) SetBoundingBox(v BoundingBox) Geometry { s.BoundingBox = v return s } // SetPolygon sets the Polygon field's value. func (s Geometry) SetPolygon(v []Point) Geometry { s.Polygon = v return s } type GetCelebrityInfoInput struct { _ struct{} `type:"structure"` // The ID for the celebrity. You get the celebrity ID from a call to the RecognizeCelebrities // operation, which recognizes celebrities in an image. // // Id is a required field Id string `type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityInfoInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityInfoInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetCelebrityInfoInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetCelebrityInfoInput"} if s.Id == nil { invalidParams.Add(request.NewErrParamRequired("Id")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetId sets the Id field's value. func (s GetCelebrityInfoInput) SetId(v string) GetCelebrityInfoInput { s.Id = &v return s } type GetCelebrityInfoOutput struct { _ struct{} `type:"structure"` // Retrieves the known gender for the celebrity. KnownGender KnownGender `type:"structure"` // The name of the celebrity. Name string `type:"string"` // An array of URLs pointing to additional celebrity information. Urls []string `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityInfoOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityInfoOutput) GoString() string { return s.String() } // SetKnownGender sets the KnownGender field's value. func (s GetCelebrityInfoOutput) SetKnownGender(v KnownGender) GetCelebrityInfoOutput { s.KnownGender = v return s } // SetName sets the Name field's value. func (s GetCelebrityInfoOutput) SetName(v string) GetCelebrityInfoOutput { s.Name = &v return s } // SetUrls sets the Urls field's value. func (s GetCelebrityInfoOutput) SetUrls(v []string) GetCelebrityInfoOutput { s.Urls = v return s } type GetCelebrityRecognitionInput struct { _ struct{} `type:"structure"` // Job identifier for the required celebrity recognition analysis. You can get // the job identifer from a call to StartCelebrityRecognition. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more recognized // celebrities to retrieve), Amazon Rekognition Video returns a pagination token // in the response. You can use this pagination token to retrieve the next set // of celebrities. NextToken string `type:"string"` // Sort to use for celebrities returned in Celebrities field. Specify ID to // sort by the celebrity identifier, specify TIMESTAMP to sort by the time the // celebrity was recognized. SortBy string `type:"string" enum:"CelebrityRecognitionSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityRecognitionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityRecognitionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetCelebrityRecognitionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetCelebrityRecognitionInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetCelebrityRecognitionInput) SetJobId(v string) GetCelebrityRecognitionInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetCelebrityRecognitionInput) SetMaxResults(v int64) GetCelebrityRecognitionInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetCelebrityRecognitionInput) SetNextToken(v string) GetCelebrityRecognitionInput { s.NextToken = &v return s } // SetSortBy sets the SortBy field's value. func (s GetCelebrityRecognitionInput) SetSortBy(v string) GetCelebrityRecognitionInput { s.SortBy = &v return s } type GetCelebrityRecognitionOutput struct { _ struct{} `type:"structure"` // Array of celebrities recognized in the video. Celebrities []CelebrityRecognition `type:"list"` // Job identifier for the celebrity recognition operation for which you want // to obtain results. The job identifer is returned by an initial call to StartCelebrityRecognition. JobId string `min:"1" type:"string"` // The current status of the celebrity recognition job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartCelebrityRecognition and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of celebrities. NextToken string `type:"string"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition Video analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // Video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityRecognitionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetCelebrityRecognitionOutput) GoString() string { return s.String() } // SetCelebrities sets the Celebrities field's value. func (s GetCelebrityRecognitionOutput) SetCelebrities(v []CelebrityRecognition) GetCelebrityRecognitionOutput { s.Celebrities = v return s } // SetJobId sets the JobId field's value. func (s GetCelebrityRecognitionOutput) SetJobId(v string) GetCelebrityRecognitionOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetCelebrityRecognitionOutput) SetJobStatus(v string) GetCelebrityRecognitionOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetCelebrityRecognitionOutput) SetJobTag(v string) GetCelebrityRecognitionOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetCelebrityRecognitionOutput) SetNextToken(v string) GetCelebrityRecognitionOutput { s.NextToken = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetCelebrityRecognitionOutput) SetStatusMessage(v string) GetCelebrityRecognitionOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetCelebrityRecognitionOutput) SetVideo(v Video) GetCelebrityRecognitionOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetCelebrityRecognitionOutput) SetVideoMetadata(v VideoMetadata) GetCelebrityRecognitionOutput { s.VideoMetadata = v return s } type GetContentModerationInput struct { _ struct{} `type:"structure"` // Defines how to aggregate results of the StartContentModeration request. Default // aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels // over time. AggregateBy string `type:"string" enum:"ContentModerationAggregateBy"` // The identifier for the inappropriate, unwanted, or offensive content moderation // job. Use JobId to identify the job in a subsequent call to GetContentModeration. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more data to retrieve), // Amazon Rekognition returns a pagination token in the response. You can use // this pagination token to retrieve the next set of content moderation labels. NextToken string `type:"string"` // Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP // to sort array elements by the time labels are detected. Use NAME to alphabetically // group elements for a label together. Within each label group, the array element // are sorted by detection confidence. The default sort is by TIMESTAMP. SortBy string `type:"string" enum:"ContentModerationSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetContentModerationInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetContentModerationInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAggregateBy sets the AggregateBy field's value. func (s GetContentModerationInput) SetAggregateBy(v string) GetContentModerationInput { s.AggregateBy = &v return s } // SetJobId sets the JobId field's value. func (s GetContentModerationInput) SetJobId(v string) GetContentModerationInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetContentModerationInput) SetMaxResults(v int64) GetContentModerationInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetContentModerationInput) SetNextToken(v string) GetContentModerationInput { s.NextToken = &v return s } // SetSortBy sets the SortBy field's value. func (s GetContentModerationInput) SetSortBy(v string) GetContentModerationInput { s.SortBy = &v return s } type GetContentModerationOutput struct { _ struct{} `type:"structure"` // Information about the paramters used when getting a response. Includes information // on aggregation and sorting methods. GetRequestMetadata GetContentModerationRequestMetadata `type:"structure"` // Job identifier for the content moderation operation for which you want to // obtain results. The job identifer is returned by an initial call to StartContentModeration. JobId string `min:"1" type:"string"` // The current status of the content moderation analysis job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartContentModeration and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // The detected inappropriate, unwanted, or offensive content moderation labels // and the time(s) they were detected. ModerationLabels []ContentModerationDetection `type:"list"` // Version number of the moderation detection model that was used to detect // inappropriate, unwanted, or offensive content. ModerationModelVersion string `type:"string"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of content // moderation labels. NextToken string `type:"string"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition analyzed. Videometadata // is returned in every page of paginated responses from GetContentModeration. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationOutput) GoString() string { return s.String() } // SetGetRequestMetadata sets the GetRequestMetadata field's value. func (s GetContentModerationOutput) SetGetRequestMetadata(v GetContentModerationRequestMetadata) GetContentModerationOutput { s.GetRequestMetadata = v return s } // SetJobId sets the JobId field's value. func (s GetContentModerationOutput) SetJobId(v string) GetContentModerationOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetContentModerationOutput) SetJobStatus(v string) GetContentModerationOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetContentModerationOutput) SetJobTag(v string) GetContentModerationOutput { s.JobTag = &v return s } // SetModerationLabels sets the ModerationLabels field's value. func (s GetContentModerationOutput) SetModerationLabels(v []ContentModerationDetection) GetContentModerationOutput { s.ModerationLabels = v return s } // SetModerationModelVersion sets the ModerationModelVersion field's value. func (s GetContentModerationOutput) SetModerationModelVersion(v string) GetContentModerationOutput { s.ModerationModelVersion = &v return s } // SetNextToken sets the NextToken field's value. func (s GetContentModerationOutput) SetNextToken(v string) GetContentModerationOutput { s.NextToken = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetContentModerationOutput) SetStatusMessage(v string) GetContentModerationOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetContentModerationOutput) SetVideo(v Video) GetContentModerationOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetContentModerationOutput) SetVideoMetadata(v VideoMetadata) GetContentModerationOutput { s.VideoMetadata = v return s } // Contains metadata about a content moderation request, including the SortBy // and AggregateBy options. type GetContentModerationRequestMetadata struct { _ struct{} `type:"structure"` // The aggregation method chosen for a GetContentModeration request. AggregateBy string `type:"string" enum:"ContentModerationAggregateBy"` // The sorting method chosen for a GetContentModeration request. SortBy string `type:"string" enum:"ContentModerationSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationRequestMetadata) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetContentModerationRequestMetadata) GoString() string { return s.String() } // SetAggregateBy sets the AggregateBy field's value. func (s GetContentModerationRequestMetadata) SetAggregateBy(v string) GetContentModerationRequestMetadata { s.AggregateBy = &v return s } // SetSortBy sets the SortBy field's value. func (s GetContentModerationRequestMetadata) SetSortBy(v string) GetContentModerationRequestMetadata { s.SortBy = &v return s } type GetFaceDetectionInput struct { _ struct{} `type:"structure"` // Unique identifier for the face detection job. The JobId is returned from // StartFaceDetection. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there are more faces to // retrieve), Amazon Rekognition Video returns a pagination token in the response. // You can use this pagination token to retrieve the next set of faces. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetFaceDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetFaceDetectionInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetFaceDetectionInput) SetJobId(v string) GetFaceDetectionInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetFaceDetectionInput) SetMaxResults(v int64) GetFaceDetectionInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetFaceDetectionInput) SetNextToken(v string) GetFaceDetectionInput { s.NextToken = &v return s } type GetFaceDetectionOutput struct { _ struct{} `type:"structure"` // An array of faces detected in the video. Each element contains a detected // face's details and the time, in milliseconds from the start of the video, // the face was detected. Faces []FaceDetection `type:"list"` // Job identifier for the face detection operation for which you want to obtain // results. The job identifer is returned by an initial call to StartFaceDetection. JobId string `min:"1" type:"string"` // The current status of the face detection job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartFaceDetection and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // If the response is truncated, Amazon Rekognition returns this token that // you can use in the subsequent request to retrieve the next set of faces. NextToken string `type:"string"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition Video analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceDetectionOutput) GoString() string { return s.String() } // SetFaces sets the Faces field's value. func (s GetFaceDetectionOutput) SetFaces(v []FaceDetection) GetFaceDetectionOutput { s.Faces = v return s } // SetJobId sets the JobId field's value. func (s GetFaceDetectionOutput) SetJobId(v string) GetFaceDetectionOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetFaceDetectionOutput) SetJobStatus(v string) GetFaceDetectionOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetFaceDetectionOutput) SetJobTag(v string) GetFaceDetectionOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetFaceDetectionOutput) SetNextToken(v string) GetFaceDetectionOutput { s.NextToken = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetFaceDetectionOutput) SetStatusMessage(v string) GetFaceDetectionOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetFaceDetectionOutput) SetVideo(v Video) GetFaceDetectionOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetFaceDetectionOutput) SetVideoMetadata(v VideoMetadata) GetFaceDetectionOutput { s.VideoMetadata = v return s } type GetFaceLivenessSessionResultsInput struct { _ struct{} `type:"structure"` // A unique 128-bit UUID. This is used to uniquely identify the session and // also acts as an idempotency token for all operations associated with the // session. // // SessionId is a required field SessionId string `min:"36" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceLivenessSessionResultsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceLivenessSessionResultsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetFaceLivenessSessionResultsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetFaceLivenessSessionResultsInput"} if s.SessionId == nil { invalidParams.Add(request.NewErrParamRequired("SessionId")) } if s.SessionId != nil && len(s.SessionId) < 36 { invalidParams.Add(request.NewErrParamMinLen("SessionId", 36)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetSessionId sets the SessionId field's value. func (s GetFaceLivenessSessionResultsInput) SetSessionId(v string) GetFaceLivenessSessionResultsInput { s.SessionId = &v return s } type GetFaceLivenessSessionResultsOutput struct { _ struct{} `type:"structure"` // A set of images from the Face Liveness video that can be used for audit purposes. // It includes a bounding box of the face and the Base64-encoded bytes that // return an image. If the CreateFaceLivenessSession request included an OutputConfig // argument, the image will be uploaded to an S3Object specified in the output // configuration. If no Amazon S3 bucket is defined, raw bytes are sent instead. AuditImages []AuditImage `type:"list"` // Probabalistic confidence score for if the person in the given video was live, // represented as a float value between 0 to 100. Confidence float64 `type:"float"` // A high-quality image from the Face Liveness video that can be used for face // comparison or search. It includes a bounding box of the face and the Base64-encoded // bytes that return an image. If the CreateFaceLivenessSession request included // an OutputConfig argument, the image will be uploaded to an S3Object specified // in the output configuration. In case the reference image is not returned, // it's recommended to retry the Liveness check. ReferenceImage AuditImage `type:"structure"` // The sessionId for which this request was called. // // SessionId is a required field SessionId string `min:"36" type:"string" required:"true"` // Represents a status corresponding to the state of the session. Possible statuses // are: CREATED, IN_PROGRESS, SUCCEEDED, FAILED, EXPIRED. // // Status is a required field Status string `type:"string" required:"true" enum:"LivenessSessionStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceLivenessSessionResultsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceLivenessSessionResultsOutput) GoString() string { return s.String() } // SetAuditImages sets the AuditImages field's value. func (s GetFaceLivenessSessionResultsOutput) SetAuditImages(v []AuditImage) GetFaceLivenessSessionResultsOutput { s.AuditImages = v return s } // SetConfidence sets the Confidence field's value. func (s GetFaceLivenessSessionResultsOutput) SetConfidence(v float64) GetFaceLivenessSessionResultsOutput { s.Confidence = &v return s } // SetReferenceImage sets the ReferenceImage field's value. func (s GetFaceLivenessSessionResultsOutput) SetReferenceImage(v AuditImage) GetFaceLivenessSessionResultsOutput { s.ReferenceImage = v return s } // SetSessionId sets the SessionId field's value. func (s GetFaceLivenessSessionResultsOutput) SetSessionId(v string) GetFaceLivenessSessionResultsOutput { s.SessionId = &v return s } // SetStatus sets the Status field's value. func (s GetFaceLivenessSessionResultsOutput) SetStatus(v string) GetFaceLivenessSessionResultsOutput { s.Status = &v return s } type GetFaceSearchInput struct { _ struct{} `type:"structure"` // The job identifer for the search request. You get the job identifier from // an initial call to StartFaceSearch. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more search results // to retrieve), Amazon Rekognition Video returns a pagination token in the // response. You can use this pagination token to retrieve the next set of search // results. NextToken string `type:"string"` // Sort to use for grouping faces in the response. Use TIMESTAMP to group faces // by the time that they are recognized. Use INDEX to sort by recognized faces. SortBy string `type:"string" enum:"FaceSearchSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceSearchInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceSearchInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetFaceSearchInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetFaceSearchInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetFaceSearchInput) SetJobId(v string) GetFaceSearchInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetFaceSearchInput) SetMaxResults(v int64) GetFaceSearchInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetFaceSearchInput) SetNextToken(v string) GetFaceSearchInput { s.NextToken = &v return s } // SetSortBy sets the SortBy field's value. func (s GetFaceSearchInput) SetSortBy(v string) GetFaceSearchInput { s.SortBy = &v return s } type GetFaceSearchOutput struct { _ struct{} `type:"structure"` // Job identifier for the face search operation for which you want to obtain // results. The job identifer is returned by an initial call to StartFaceSearch. JobId string `min:"1" type:"string"` // The current status of the face search job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartFaceSearch and returned in // the job completion notification sent to your Amazon Simple Notification Service // topic. JobTag string `min:"1" type:"string"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of search // results. NextToken string `type:"string"` // An array of persons, PersonMatch, in the video whose face(s) match the face(s) // in an Amazon Rekognition collection. It also includes time information for // when persons are matched in the video. You specify the input collection in // an initial call to StartFaceSearch. Each Persons element includes a time // the person was matched, face match details (FaceMatches) for matching faces // in the collection, and person information (Person) for the matched person. Persons []PersonMatch `type:"list"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // Video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceSearchOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetFaceSearchOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s GetFaceSearchOutput) SetJobId(v string) GetFaceSearchOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetFaceSearchOutput) SetJobStatus(v string) GetFaceSearchOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetFaceSearchOutput) SetJobTag(v string) GetFaceSearchOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetFaceSearchOutput) SetNextToken(v string) GetFaceSearchOutput { s.NextToken = &v return s } // SetPersons sets the Persons field's value. func (s GetFaceSearchOutput) SetPersons(v []PersonMatch) GetFaceSearchOutput { s.Persons = v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetFaceSearchOutput) SetStatusMessage(v string) GetFaceSearchOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetFaceSearchOutput) SetVideo(v Video) GetFaceSearchOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetFaceSearchOutput) SetVideoMetadata(v VideoMetadata) GetFaceSearchOutput { s.VideoMetadata = v return s } type GetLabelDetectionInput struct { _ struct{} `type:"structure"` // Defines how to aggregate the returned results. Results can be aggregated // by timestamps or segments. AggregateBy string `type:"string" enum:"LabelDetectionAggregateBy"` // Job identifier for the label detection operation for which you want results // returned. You get the job identifer from an initial call to StartlabelDetection. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there are more labels to // retrieve), Amazon Rekognition Video returns a pagination token in the response. // You can use this pagination token to retrieve the next set of labels. NextToken string `type:"string"` // Sort to use for elements in the Labels array. Use TIMESTAMP to sort array // elements by the time labels are detected. Use NAME to alphabetically group // elements for a label together. Within each label group, the array element // are sorted by detection confidence. The default sort is by TIMESTAMP. SortBy string `type:"string" enum:"LabelDetectionSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetLabelDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetLabelDetectionInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAggregateBy sets the AggregateBy field's value. func (s GetLabelDetectionInput) SetAggregateBy(v string) GetLabelDetectionInput { s.AggregateBy = &v return s } // SetJobId sets the JobId field's value. func (s GetLabelDetectionInput) SetJobId(v string) GetLabelDetectionInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetLabelDetectionInput) SetMaxResults(v int64) GetLabelDetectionInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetLabelDetectionInput) SetNextToken(v string) GetLabelDetectionInput { s.NextToken = &v return s } // SetSortBy sets the SortBy field's value. func (s GetLabelDetectionInput) SetSortBy(v string) GetLabelDetectionInput { s.SortBy = &v return s } type GetLabelDetectionOutput struct { _ struct{} `type:"structure"` // Information about the paramters used when getting a response. Includes information // on aggregation and sorting methods. GetRequestMetadata GetLabelDetectionRequestMetadata `type:"structure"` // Job identifier for the label detection operation for which you want to obtain // results. The job identifer is returned by an initial call to StartLabelDetection. JobId string `min:"1" type:"string"` // The current status of the label detection job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartLabelDetection and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // Version number of the label detection model that was used to detect labels. LabelModelVersion string `type:"string"` // An array of labels detected in the video. Each element contains the detected // label and the time, in milliseconds from the start of the video, that the // label was detected. Labels []LabelDetection `type:"list"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of labels. NextToken string `type:"string"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition Video analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionOutput) GoString() string { return s.String() } // SetGetRequestMetadata sets the GetRequestMetadata field's value. func (s GetLabelDetectionOutput) SetGetRequestMetadata(v GetLabelDetectionRequestMetadata) GetLabelDetectionOutput { s.GetRequestMetadata = v return s } // SetJobId sets the JobId field's value. func (s GetLabelDetectionOutput) SetJobId(v string) GetLabelDetectionOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetLabelDetectionOutput) SetJobStatus(v string) GetLabelDetectionOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetLabelDetectionOutput) SetJobTag(v string) GetLabelDetectionOutput { s.JobTag = &v return s } // SetLabelModelVersion sets the LabelModelVersion field's value. func (s GetLabelDetectionOutput) SetLabelModelVersion(v string) GetLabelDetectionOutput { s.LabelModelVersion = &v return s } // SetLabels sets the Labels field's value. func (s GetLabelDetectionOutput) SetLabels(v []LabelDetection) GetLabelDetectionOutput { s.Labels = v return s } // SetNextToken sets the NextToken field's value. func (s GetLabelDetectionOutput) SetNextToken(v string) GetLabelDetectionOutput { s.NextToken = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetLabelDetectionOutput) SetStatusMessage(v string) GetLabelDetectionOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetLabelDetectionOutput) SetVideo(v Video) GetLabelDetectionOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetLabelDetectionOutput) SetVideoMetadata(v VideoMetadata) GetLabelDetectionOutput { s.VideoMetadata = v return s } // Contains metadata about a label detection request, including the SortBy and // AggregateBy options. type GetLabelDetectionRequestMetadata struct { _ struct{} `type:"structure"` // The aggregation method chosen for a GetLabelDetection request. AggregateBy string `type:"string" enum:"LabelDetectionAggregateBy"` // The sorting method chosen for a GetLabelDetection request. SortBy string `type:"string" enum:"LabelDetectionSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionRequestMetadata) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetLabelDetectionRequestMetadata) GoString() string { return s.String() } // SetAggregateBy sets the AggregateBy field's value. func (s GetLabelDetectionRequestMetadata) SetAggregateBy(v string) GetLabelDetectionRequestMetadata { s.AggregateBy = &v return s } // SetSortBy sets the SortBy field's value. func (s GetLabelDetectionRequestMetadata) SetSortBy(v string) GetLabelDetectionRequestMetadata { s.SortBy = &v return s } type GetMediaAnalysisJobInput struct { _ struct{} `type:"structure"` // Unique identifier for the media analysis job for which you want to retrieve // results. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetMediaAnalysisJobInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetMediaAnalysisJobInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetMediaAnalysisJobInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetMediaAnalysisJobInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetMediaAnalysisJobInput) SetJobId(v string) GetMediaAnalysisJobInput { s.JobId = &v return s } type GetMediaAnalysisJobOutput struct { _ struct{} `type:"structure"` // The Unix date and time when the job finished. CompletionTimestamp time.Time `type:"timestamp"` // The Unix date and time when the job was started. // // CreationTimestamp is a required field CreationTimestamp time.Time `type:"timestamp" required:"true"` // Details about the error that resulted in failure of the job. FailureDetails MediaAnalysisJobFailureDetails `type:"structure"` // Reference to the input manifest that was provided in the job creation request. // // Input is a required field Input MediaAnalysisInput_ `type:"structure" required:"true"` // The identifier for the media analysis job. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // The name of the media analysis job. JobName string `min:"1" type:"string"` // KMS Key that was provided in the creation request. KmsKeyId string `min:"1" type:"string"` // The summary manifest provides statistics on input manifest and errors identified // in the input manifest. ManifestSummary MediaAnalysisManifestSummary `type:"structure"` // Operation configurations that were provided during job creation. // // OperationsConfig is a required field OperationsConfig MediaAnalysisOperationsConfig `type:"structure" required:"true"` // Output configuration that was provided in the creation request. // // OutputConfig is a required field OutputConfig MediaAnalysisOutputConfig `type:"structure" required:"true"` // Output manifest that contains prediction results. Results MediaAnalysisResults `type:"structure"` // The current status of the media analysis job. // // Status is a required field Status string `type:"string" required:"true" enum:"MediaAnalysisJobStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetMediaAnalysisJobOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetMediaAnalysisJobOutput) GoString() string { return s.String() } // SetCompletionTimestamp sets the CompletionTimestamp field's value. func (s GetMediaAnalysisJobOutput) SetCompletionTimestamp(v time.Time) GetMediaAnalysisJobOutput { s.CompletionTimestamp = &v return s } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s GetMediaAnalysisJobOutput) SetCreationTimestamp(v time.Time) GetMediaAnalysisJobOutput { s.CreationTimestamp = &v return s } // SetFailureDetails sets the FailureDetails field's value. func (s GetMediaAnalysisJobOutput) SetFailureDetails(v MediaAnalysisJobFailureDetails) GetMediaAnalysisJobOutput { s.FailureDetails = v return s } // SetInput sets the Input field's value. func (s GetMediaAnalysisJobOutput) SetInput(v MediaAnalysisInput_) GetMediaAnalysisJobOutput { s.Input = v return s } // SetJobId sets the JobId field's value. func (s GetMediaAnalysisJobOutput) SetJobId(v string) GetMediaAnalysisJobOutput { s.JobId = &v return s } // SetJobName sets the JobName field's value. func (s GetMediaAnalysisJobOutput) SetJobName(v string) GetMediaAnalysisJobOutput { s.JobName = &v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s GetMediaAnalysisJobOutput) SetKmsKeyId(v string) GetMediaAnalysisJobOutput { s.KmsKeyId = &v return s } // SetManifestSummary sets the ManifestSummary field's value. func (s GetMediaAnalysisJobOutput) SetManifestSummary(v MediaAnalysisManifestSummary) GetMediaAnalysisJobOutput { s.ManifestSummary = v return s } // SetOperationsConfig sets the OperationsConfig field's value. func (s GetMediaAnalysisJobOutput) SetOperationsConfig(v MediaAnalysisOperationsConfig) GetMediaAnalysisJobOutput { s.OperationsConfig = v return s } // SetOutputConfig sets the OutputConfig field's value. func (s GetMediaAnalysisJobOutput) SetOutputConfig(v MediaAnalysisOutputConfig) GetMediaAnalysisJobOutput { s.OutputConfig = v return s } // SetResults sets the Results field's value. func (s GetMediaAnalysisJobOutput) SetResults(v MediaAnalysisResults) GetMediaAnalysisJobOutput { s.Results = v return s } // SetStatus sets the Status field's value. func (s GetMediaAnalysisJobOutput) SetStatus(v string) GetMediaAnalysisJobOutput { s.Status = &v return s } type GetPersonTrackingInput struct { _ struct{} `type:"structure"` // The identifier for a job that tracks persons in a video. You get the JobId // from a call to StartPersonTracking. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. If you specify a value greater than 1000, a maximum // of 1000 results is returned. The default value is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there are more persons to // retrieve), Amazon Rekognition Video returns a pagination token in the response. // You can use this pagination token to retrieve the next set of persons. NextToken string `type:"string"` // Sort to use for elements in the Persons array. Use TIMESTAMP to sort array // elements by the time persons are detected. Use INDEX to sort by the tracked // persons. If you sort by INDEX, the array elements for each person are sorted // by detection confidence. The default sort is by TIMESTAMP. SortBy string `type:"string" enum:"PersonTrackingSortBy"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetPersonTrackingInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetPersonTrackingInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetPersonTrackingInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetPersonTrackingInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetPersonTrackingInput) SetJobId(v string) GetPersonTrackingInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetPersonTrackingInput) SetMaxResults(v int64) GetPersonTrackingInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetPersonTrackingInput) SetNextToken(v string) GetPersonTrackingInput { s.NextToken = &v return s } // SetSortBy sets the SortBy field's value. func (s GetPersonTrackingInput) SetSortBy(v string) GetPersonTrackingInput { s.SortBy = &v return s } type GetPersonTrackingOutput struct { _ struct{} `type:"structure"` // Job identifier for the person tracking operation for which you want to obtain // results. The job identifer is returned by an initial call to StartPersonTracking. JobId string `min:"1" type:"string"` // The current status of the person tracking job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartCelebrityRecognition and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of persons. NextToken string `type:"string"` // An array of the persons detected in the video and the time(s) their path // was tracked throughout the video. An array element will exist for each time // a person's path is tracked. Persons []PersonDetection `type:"list"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition Video analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // Video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetPersonTrackingOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetPersonTrackingOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s GetPersonTrackingOutput) SetJobId(v string) GetPersonTrackingOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetPersonTrackingOutput) SetJobStatus(v string) GetPersonTrackingOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetPersonTrackingOutput) SetJobTag(v string) GetPersonTrackingOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetPersonTrackingOutput) SetNextToken(v string) GetPersonTrackingOutput { s.NextToken = &v return s } // SetPersons sets the Persons field's value. func (s GetPersonTrackingOutput) SetPersons(v []PersonDetection) GetPersonTrackingOutput { s.Persons = v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetPersonTrackingOutput) SetStatusMessage(v string) GetPersonTrackingOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetPersonTrackingOutput) SetVideo(v Video) GetPersonTrackingOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetPersonTrackingOutput) SetVideoMetadata(v VideoMetadata) GetPersonTrackingOutput { s.VideoMetadata = v return s } type GetSegmentDetectionInput struct { _ struct{} `type:"structure"` // Job identifier for the text detection operation for which you want results // returned. You get the job identifer from an initial call to StartSegmentDetection. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. MaxResults int64 `min:"1" type:"integer"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of text. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetSegmentDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetSegmentDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetSegmentDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetSegmentDetectionInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetSegmentDetectionInput) SetJobId(v string) GetSegmentDetectionInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetSegmentDetectionInput) SetMaxResults(v int64) GetSegmentDetectionInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetSegmentDetectionInput) SetNextToken(v string) GetSegmentDetectionInput { s.NextToken = &v return s } type GetSegmentDetectionOutput struct { _ struct{} `type:"structure"` // An array of objects. There can be multiple audio streams. Each AudioMetadata // object contains metadata for a single audio stream. Audio information in // an AudioMetadata objects includes the audio codec, the number of audio channels, // the duration of the audio stream, and the sample rate. Audio metadata is // returned in each page of information returned by GetSegmentDetection. AudioMetadata []AudioMetadata `type:"list"` // Job identifier for the segment detection operation for which you want to // obtain results. The job identifer is returned by an initial call to StartSegmentDetection. JobId string `min:"1" type:"string"` // Current status of the segment detection job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartSegmentDetection and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // If the previous response was incomplete (because there are more labels to // retrieve), Amazon Rekognition Video returns a pagination token in the response. // You can use this pagination token to retrieve the next set of text. NextToken string `type:"string"` // An array of segments detected in a video. The array is sorted by the segment // types (TECHNICAL_CUE or SHOT) specified in the SegmentTypes input parameter // of StartSegmentDetection. Within each segment type the array is sorted by // timestamp values. Segments []SegmentDetection `type:"list"` // An array containing the segment types requested in the call to StartSegmentDetection. SelectedSegmentTypes []SegmentTypeInfo `type:"list"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Currently, Amazon Rekognition Video returns a single object in the VideoMetadata // array. The object contains information about the video stream in the input // file that Amazon Rekognition Video chose to analyze. The VideoMetadata object // includes the video codec, video format and other information. Video metadata // is returned in each page of information returned by GetSegmentDetection. VideoMetadata []VideoMetadata `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetSegmentDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetSegmentDetectionOutput) GoString() string { return s.String() } // SetAudioMetadata sets the AudioMetadata field's value. func (s GetSegmentDetectionOutput) SetAudioMetadata(v []AudioMetadata) GetSegmentDetectionOutput { s.AudioMetadata = v return s } // SetJobId sets the JobId field's value. func (s GetSegmentDetectionOutput) SetJobId(v string) GetSegmentDetectionOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetSegmentDetectionOutput) SetJobStatus(v string) GetSegmentDetectionOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetSegmentDetectionOutput) SetJobTag(v string) GetSegmentDetectionOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetSegmentDetectionOutput) SetNextToken(v string) GetSegmentDetectionOutput { s.NextToken = &v return s } // SetSegments sets the Segments field's value. func (s GetSegmentDetectionOutput) SetSegments(v []SegmentDetection) GetSegmentDetectionOutput { s.Segments = v return s } // SetSelectedSegmentTypes sets the SelectedSegmentTypes field's value. func (s GetSegmentDetectionOutput) SetSelectedSegmentTypes(v []SegmentTypeInfo) GetSegmentDetectionOutput { s.SelectedSegmentTypes = v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetSegmentDetectionOutput) SetStatusMessage(v string) GetSegmentDetectionOutput { s.StatusMessage = &v return s } // SetVideo sets the Video field's value. func (s GetSegmentDetectionOutput) SetVideo(v Video) GetSegmentDetectionOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetSegmentDetectionOutput) SetVideoMetadata(v []VideoMetadata) GetSegmentDetectionOutput { s.VideoMetadata = v return s } type GetTextDetectionInput struct { _ struct{} `type:"structure"` // Job identifier for the text detection operation for which you want results // returned. You get the job identifer from an initial call to StartTextDetection. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // Maximum number of results to return per paginated call. The largest value // you can specify is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there are more labels to // retrieve), Amazon Rekognition Video returns a pagination token in the response. // You can use this pagination token to retrieve the next set of text. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetTextDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetTextDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GetTextDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GetTextDetectionInput"} if s.JobId == nil { invalidParams.Add(request.NewErrParamRequired("JobId")) } if s.JobId != nil && len(s.JobId) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetJobId sets the JobId field's value. func (s GetTextDetectionInput) SetJobId(v string) GetTextDetectionInput { s.JobId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s GetTextDetectionInput) SetMaxResults(v int64) GetTextDetectionInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s GetTextDetectionInput) SetNextToken(v string) GetTextDetectionInput { s.NextToken = &v return s } type GetTextDetectionOutput struct { _ struct{} `type:"structure"` // Job identifier for the text detection operation for which you want to obtain // results. The job identifer is returned by an initial call to StartTextDetection. JobId string `min:"1" type:"string"` // Current status of the text detection job. JobStatus string `type:"string" enum:"VideoJobStatus"` // A job identifier specified in the call to StartTextDetection and returned // in the job completion notification sent to your Amazon Simple Notification // Service topic. JobTag string `min:"1" type:"string"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of text. NextToken string `type:"string"` // If the job fails, StatusMessage provides a descriptive error message. StatusMessage string `type:"string"` // An array of text detected in the video. Each element contains the detected // text, the time in milliseconds from the start of the video that the text // was detected, and where it was detected on the screen. TextDetections []TextDetectionResult `type:"list"` // Version number of the text detection model that was used to detect text. TextModelVersion string `type:"string"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. Video Video `type:"structure"` // Information about a video that Amazon Rekognition analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // video operation. VideoMetadata VideoMetadata `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetTextDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GetTextDetectionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s GetTextDetectionOutput) SetJobId(v string) GetTextDetectionOutput { s.JobId = &v return s } // SetJobStatus sets the JobStatus field's value. func (s GetTextDetectionOutput) SetJobStatus(v string) GetTextDetectionOutput { s.JobStatus = &v return s } // SetJobTag sets the JobTag field's value. func (s GetTextDetectionOutput) SetJobTag(v string) GetTextDetectionOutput { s.JobTag = &v return s } // SetNextToken sets the NextToken field's value. func (s GetTextDetectionOutput) SetNextToken(v string) GetTextDetectionOutput { s.NextToken = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s GetTextDetectionOutput) SetStatusMessage(v string) GetTextDetectionOutput { s.StatusMessage = &v return s } // SetTextDetections sets the TextDetections field's value. func (s GetTextDetectionOutput) SetTextDetections(v []TextDetectionResult) GetTextDetectionOutput { s.TextDetections = v return s } // SetTextModelVersion sets the TextModelVersion field's value. func (s GetTextDetectionOutput) SetTextModelVersion(v string) GetTextDetectionOutput { s.TextModelVersion = &v return s } // SetVideo sets the Video field's value. func (s GetTextDetectionOutput) SetVideo(v Video) GetTextDetectionOutput { s.Video = v return s } // SetVideoMetadata sets the VideoMetadata field's value. func (s GetTextDetectionOutput) SetVideoMetadata(v VideoMetadata) GetTextDetectionOutput { s.VideoMetadata = v return s } // The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest // file. type GroundTruthManifest struct { _ struct{} `type:"structure"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GroundTruthManifest) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s GroundTruthManifest) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s GroundTruthManifest) Validate() error { invalidParams := request.ErrInvalidParams{Context: "GroundTruthManifest"} if s.S3Object != nil { if err := s.S3Object.Validate(); err != nil { invalidParams.AddNested("S3Object", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Object sets the S3Object field's value. func (s GroundTruthManifest) SetS3Object(v S3Object) GroundTruthManifest { s.S3Object = v return s } // Shows the results of the human in the loop evaluation. If there is no HumanLoopArn, // the input did not trigger human review. type HumanLoopActivationOutput struct { _ struct{} `type:"structure"` // Shows the result of condition evaluations, including those conditions which // activated a human review. HumanLoopActivationConditionsEvaluationResults aws.JSONValue `type:"jsonvalue"` // Shows if and why human review was needed. HumanLoopActivationReasons []string `min:"1" type:"list"` // The Amazon Resource Name (ARN) of the HumanLoop created. HumanLoopArn string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopActivationOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopActivationOutput) GoString() string { return s.String() } // SetHumanLoopActivationConditionsEvaluationResults sets the HumanLoopActivationConditionsEvaluationResults field's value. func (s HumanLoopActivationOutput) SetHumanLoopActivationConditionsEvaluationResults(v aws.JSONValue) HumanLoopActivationOutput { s.HumanLoopActivationConditionsEvaluationResults = v return s } // SetHumanLoopActivationReasons sets the HumanLoopActivationReasons field's value. func (s HumanLoopActivationOutput) SetHumanLoopActivationReasons(v []string) HumanLoopActivationOutput { s.HumanLoopActivationReasons = v return s } // SetHumanLoopArn sets the HumanLoopArn field's value. func (s HumanLoopActivationOutput) SetHumanLoopArn(v string) HumanLoopActivationOutput { s.HumanLoopArn = &v return s } // Sets up the flow definition the image will be sent to if one of the conditions // is met. You can also set certain attributes of the image before review. type HumanLoopConfig struct { _ struct{} `type:"structure"` // Sets attributes of the input data. DataAttributes HumanLoopDataAttributes `type:"structure"` // The Amazon Resource Name (ARN) of the flow definition. You can create a flow // definition by using the Amazon Sagemaker CreateFlowDefinition (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateFlowDefinition.html) // Operation. // // FlowDefinitionArn is a required field FlowDefinitionArn string `type:"string" required:"true"` // The name of the human review used for this image. This should be kept unique // within a region. // // HumanLoopName is a required field HumanLoopName string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s HumanLoopConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "HumanLoopConfig"} if s.FlowDefinitionArn == nil { invalidParams.Add(request.NewErrParamRequired("FlowDefinitionArn")) } if s.HumanLoopName == nil { invalidParams.Add(request.NewErrParamRequired("HumanLoopName")) } if s.HumanLoopName != nil && len(s.HumanLoopName) < 1 { invalidParams.Add(request.NewErrParamMinLen("HumanLoopName", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDataAttributes sets the DataAttributes field's value. func (s HumanLoopConfig) SetDataAttributes(v HumanLoopDataAttributes) HumanLoopConfig { s.DataAttributes = v return s } // SetFlowDefinitionArn sets the FlowDefinitionArn field's value. func (s HumanLoopConfig) SetFlowDefinitionArn(v string) HumanLoopConfig { s.FlowDefinitionArn = &v return s } // SetHumanLoopName sets the HumanLoopName field's value. func (s HumanLoopConfig) SetHumanLoopName(v string) HumanLoopConfig { s.HumanLoopName = &v return s } // Allows you to set attributes of the image. Currently, you can declare an // image as free of personally identifiable information. type HumanLoopDataAttributes struct { _ struct{} `type:"structure"` // Sets whether the input image is free of personally identifiable information. ContentClassifiers []string `type:"list" enum:"ContentClassifier"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopDataAttributes) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopDataAttributes) GoString() string { return s.String() } // SetContentClassifiers sets the ContentClassifiers field's value. func (s HumanLoopDataAttributes) SetContentClassifiers(v []string) HumanLoopDataAttributes { s.ContentClassifiers = v return s } // The number of in-progress human reviews you have has exceeded the number // allowed. type HumanLoopQuotaExceededException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` // The quota code. QuotaCode string `type:"string"` // The resource type. ResourceType string `type:"string"` // The service code. ServiceCode string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopQuotaExceededException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s HumanLoopQuotaExceededException) GoString() string { return s.String() } func newErrorHumanLoopQuotaExceededException(v protocol.ResponseMetadata) error { return &HumanLoopQuotaExceededException{ RespMetadata: v, } } // Code returns the exception type name. func (s HumanLoopQuotaExceededException) Code() string { return "HumanLoopQuotaExceededException" } // Message returns the exception's message. func (s HumanLoopQuotaExceededException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s HumanLoopQuotaExceededException) OrigErr() error { return nil } func (s HumanLoopQuotaExceededException) Error() string { return fmt.Sprintf("%s: %s\n%s", s.Code(), s.Message(), s.String()) } // Status code returns the HTTP status code for the request's response error. func (s HumanLoopQuotaExceededException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s HumanLoopQuotaExceededException) RequestID() string { return s.RespMetadata.RequestID } // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. type IdempotentParameterMismatchException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IdempotentParameterMismatchException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IdempotentParameterMismatchException) GoString() string { return s.String() } func newErrorIdempotentParameterMismatchException(v protocol.ResponseMetadata) error { return &IdempotentParameterMismatchException{ RespMetadata: v, } } // Code returns the exception type name. func (s IdempotentParameterMismatchException) Code() string { return "IdempotentParameterMismatchException" } // Message returns the exception's message. func (s IdempotentParameterMismatchException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s IdempotentParameterMismatchException) OrigErr() error { return nil } func (s IdempotentParameterMismatchException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s IdempotentParameterMismatchException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s IdempotentParameterMismatchException) RequestID() string { return s.RespMetadata.RequestID } // Provides the input image either as bytes or an S3 object. // // You pass image bytes to an Amazon Rekognition API operation by using the // Bytes property. For example, you would use the Bytes property to pass an // image loaded from a local file system. Image bytes passed by using the Bytes // property must be base64-encoded. Your code may not need to encode image bytes // if you are using an AWS SDK to call Amazon Rekognition API operations. // // For more information, see Analyzing an Image Loaded from a Local File System // in the Amazon Rekognition Developer Guide. // // You pass images stored in an S3 bucket to an Amazon Rekognition API operation // by using the S3Object property. Images stored in an S3 bucket do not need // to be base64-encoded. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // If you use the AWS CLI to call Amazon Rekognition operations, passing image // bytes using the Bytes property is not supported. You must first upload the // image to an Amazon S3 bucket and then call the operation using the S3Object // property. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. type Image struct { _ struct{} `type:"structure"` // Blob of image bytes up to 5 MBs. Note that the maximum image size you can // pass to DetectCustomLabels is 4MB. // Bytes is automatically base64 encoded/decoded by the SDK. Bytes []byte `min:"1" type:"blob"` // Identifies an S3 object as the image source. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Image) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Image) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s Image) Validate() error { invalidParams := request.ErrInvalidParams{Context: "Image"} if s.Bytes != nil && len(s.Bytes) < 1 { invalidParams.Add(request.NewErrParamMinLen("Bytes", 1)) } if s.S3Object != nil { if err := s.S3Object.Validate(); err != nil { invalidParams.AddNested("S3Object", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetBytes sets the Bytes field's value. func (s Image) SetBytes(v []byte) Image { s.Bytes = v return s } // SetS3Object sets the S3Object field's value. func (s Image) SetS3Object(v S3Object) Image { s.S3Object = v return s } // Identifies face image brightness and sharpness. type ImageQuality struct { _ struct{} `type:"structure"` // Value representing brightness of the face. The service returns a value between // 0 and 100 (inclusive). A higher value indicates a brighter face image. Brightness float64 `type:"float"` // Value representing sharpness of the face. The service returns a value between // 0 and 100 (inclusive). A higher value indicates a sharper face image. Sharpness float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ImageQuality) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ImageQuality) GoString() string { return s.String() } // SetBrightness sets the Brightness field's value. func (s ImageQuality) SetBrightness(v float64) ImageQuality { s.Brightness = &v return s } // SetSharpness sets the Sharpness field's value. func (s ImageQuality) SetSharpness(v float64) ImageQuality { s.Sharpness = &v return s } // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. type ImageTooLargeException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ImageTooLargeException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ImageTooLargeException) GoString() string { return s.String() } func newErrorImageTooLargeException(v protocol.ResponseMetadata) error { return &ImageTooLargeException{ RespMetadata: v, } } // Code returns the exception type name. func (s ImageTooLargeException) Code() string { return "ImageTooLargeException" } // Message returns the exception's message. func (s ImageTooLargeException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ImageTooLargeException) OrigErr() error { return nil } func (s ImageTooLargeException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ImageTooLargeException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ImageTooLargeException) RequestID() string { return s.RespMetadata.RequestID } type IndexFacesInput struct { _ struct{} `type:"structure"` // The ID of an existing collection to which you want to add the faces that // are detected in the input images. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // An array of facial attributes you want to be returned. A DEFAULT subset of // facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks // - will always be returned. You can request for specific facial attributes // (in addition to the default list) - by using ["DEFAULT", "FACE_OCCLUDED"] // or just ["FACE_OCCLUDED"]. You can request for all facial attributes by using // ["ALL"]. Requesting more attributes may increase response time. // // If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator // to determine which attributes to return (in this case, all attributes). DetectionAttributes []string `type:"list" enum:"Attribute"` // The ID you want to assign to all the faces detected in the image. ExternalImageId string `min:"1" type:"string"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // isn't supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` // The maximum number of faces to index. The value of MaxFaces must be greater // than or equal to 1. IndexFaces returns no more than 100 detected faces in // an image, even if you specify a larger value for MaxFaces. // // If IndexFaces detects more faces than the value of MaxFaces, the faces with // the lowest quality are filtered out first. If there are still more faces // than the value of MaxFaces, the faces with the smallest bounding boxes are // filtered out (up to the number that's needed to satisfy the value of MaxFaces). // Information about the unindexed faces is available in the UnindexedFaces // array. // // The faces that are returned by IndexFaces are sorted by the largest face // bounding box size to the smallest size, in descending order. // // MaxFaces can be used with a collection associated with any version of the // face model. MaxFaces int64 `min:"1" type:"integer"` // A filter that specifies a quality bar for how much filtering is done to identify // faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition // chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes // all faces that don’t meet the chosen quality bar. The default value is // AUTO. The quality bar is based on a variety of common use cases. Low-quality // detections can occur for a number of reasons. Some examples are an object // that's misidentified as a face, a face that's too blurry, or a face with // a pose that's too extreme to use. If you specify NONE, no filtering is performed. // // To use quality filtering, the collection you are using must be associated // with version 3 of the face model or higher. QualityFilter string `type:"string" enum:"QualityFilter"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IndexFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IndexFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s IndexFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "IndexFacesInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.ExternalImageId != nil && len(s.ExternalImageId) < 1 { invalidParams.Add(request.NewErrParamMinLen("ExternalImageId", 1)) } if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.MaxFaces != nil && s.MaxFaces < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxFaces", 1)) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s IndexFacesInput) SetCollectionId(v string) IndexFacesInput { s.CollectionId = &v return s } // SetDetectionAttributes sets the DetectionAttributes field's value. func (s IndexFacesInput) SetDetectionAttributes(v []string) IndexFacesInput { s.DetectionAttributes = v return s } // SetExternalImageId sets the ExternalImageId field's value. func (s IndexFacesInput) SetExternalImageId(v string) IndexFacesInput { s.ExternalImageId = &v return s } // SetImage sets the Image field's value. func (s IndexFacesInput) SetImage(v Image) IndexFacesInput { s.Image = v return s } // SetMaxFaces sets the MaxFaces field's value. func (s IndexFacesInput) SetMaxFaces(v int64) IndexFacesInput { s.MaxFaces = &v return s } // SetQualityFilter sets the QualityFilter field's value. func (s IndexFacesInput) SetQualityFilter(v string) IndexFacesInput { s.QualityFilter = &v return s } type IndexFacesOutput struct { _ struct{} `type:"structure"` // The version number of the face detection model that's associated with the // input collection (CollectionId). FaceModelVersion string `type:"string"` // An array of faces detected and added to the collection. For more information, // see Searching Faces in a Collection in the Amazon Rekognition Developer Guide. FaceRecords []FaceRecord `type:"list"` // If your collection is associated with a face detection model that's later // than version 3.0, the value of OrientationCorrection is always null and no // orientation information is returned. // // If your collection is associated with a face detection model that's version // 3.0 or earlier, the following applies: // // * If the input image is in .jpeg format, it might contain exchangeable // image file format (Exif) metadata that includes the image's orientation. // Amazon Rekognition uses this orientation information to perform image // correction - the bounding box coordinates are translated to represent // object locations after the orientation information in the Exif metadata // is used to correct the image orientation. Images in .png format don't // contain Exif metadata. The value of OrientationCorrection is null. // // * If the image doesn't contain orientation information in its Exif metadata, // Amazon Rekognition returns an estimated orientation (ROTATE_0, ROTATE_90, // ROTATE_180, ROTATE_270). Amazon Rekognition doesn’t perform image correction // for images. The bounding box coordinates aren't translated and represent // the object locations before the image is rotated. // // Bounding box information is returned in the FaceRecords array. You can get // the version of the face detection model by calling DescribeCollection. OrientationCorrection string `type:"string" enum:"OrientationCorrection"` // An array of faces that were detected in the image but weren't indexed. They // weren't indexed because the quality filter identified them as low quality, // or the MaxFaces request parameter filtered them out. To use the quality filter, // you specify the QualityFilter request parameter. UnindexedFaces []UnindexedFace `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IndexFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s IndexFacesOutput) GoString() string { return s.String() } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s IndexFacesOutput) SetFaceModelVersion(v string) IndexFacesOutput { s.FaceModelVersion = &v return s } // SetFaceRecords sets the FaceRecords field's value. func (s IndexFacesOutput) SetFaceRecords(v []FaceRecord) IndexFacesOutput { s.FaceRecords = v return s } // SetOrientationCorrection sets the OrientationCorrection field's value. func (s IndexFacesOutput) SetOrientationCorrection(v string) IndexFacesOutput { s.OrientationCorrection = &v return s } // SetUnindexedFaces sets the UnindexedFaces field's value. func (s IndexFacesOutput) SetUnindexedFaces(v []UnindexedFace) IndexFacesOutput { s.UnindexedFaces = v return s } // An instance of a label returned by Amazon Rekognition Image (DetectLabels) // or by Amazon Rekognition Video (GetLabelDetection). type Instance struct { _ struct{} `type:"structure"` // The position of the label instance on the image. BoundingBox BoundingBox `type:"structure"` // The confidence that Amazon Rekognition has in the accuracy of the bounding // box. Confidence float64 `type:"float"` // The dominant colors found in an individual instance of a label. DominantColors []DominantColor `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Instance) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Instance) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s Instance) SetBoundingBox(v BoundingBox) Instance { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s Instance) SetConfidence(v float64) Instance { s.Confidence = &v return s } // SetDominantColors sets the DominantColors field's value. func (s Instance) SetDominantColors(v []DominantColor) Instance { s.DominantColors = v return s } // Amazon Rekognition experienced a service issue. Try your call again. type InternalServerError struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InternalServerError) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InternalServerError) GoString() string { return s.String() } func newErrorInternalServerError(v protocol.ResponseMetadata) error { return &InternalServerError{ RespMetadata: v, } } // Code returns the exception type name. func (s InternalServerError) Code() string { return "InternalServerError" } // Message returns the exception's message. func (s InternalServerError) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InternalServerError) OrigErr() error { return nil } func (s InternalServerError) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InternalServerError) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InternalServerError) RequestID() string { return s.RespMetadata.RequestID } // The provided image format is not supported. type InvalidImageFormatException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidImageFormatException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidImageFormatException) GoString() string { return s.String() } func newErrorInvalidImageFormatException(v protocol.ResponseMetadata) error { return &InvalidImageFormatException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidImageFormatException) Code() string { return "InvalidImageFormatException" } // Message returns the exception's message. func (s InvalidImageFormatException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidImageFormatException) OrigErr() error { return nil } func (s InvalidImageFormatException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidImageFormatException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidImageFormatException) RequestID() string { return s.RespMetadata.RequestID } // Indicates that a provided manifest file is empty or larger than the allowed // limit. type InvalidManifestException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidManifestException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidManifestException) GoString() string { return s.String() } func newErrorInvalidManifestException(v protocol.ResponseMetadata) error { return &InvalidManifestException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidManifestException) Code() string { return "InvalidManifestException" } // Message returns the exception's message. func (s InvalidManifestException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidManifestException) OrigErr() error { return nil } func (s InvalidManifestException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidManifestException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidManifestException) RequestID() string { return s.RespMetadata.RequestID } // Pagination token in the request is not valid. type InvalidPaginationTokenException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidPaginationTokenException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidPaginationTokenException) GoString() string { return s.String() } func newErrorInvalidPaginationTokenException(v protocol.ResponseMetadata) error { return &InvalidPaginationTokenException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidPaginationTokenException) Code() string { return "InvalidPaginationTokenException" } // Message returns the exception's message. func (s InvalidPaginationTokenException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidPaginationTokenException) OrigErr() error { return nil } func (s InvalidPaginationTokenException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidPaginationTokenException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidPaginationTokenException) RequestID() string { return s.RespMetadata.RequestID } // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. type InvalidParameterException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidParameterException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidParameterException) GoString() string { return s.String() } func newErrorInvalidParameterException(v protocol.ResponseMetadata) error { return &InvalidParameterException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidParameterException) Code() string { return "InvalidParameterException" } // Message returns the exception's message. func (s InvalidParameterException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidParameterException) OrigErr() error { return nil } func (s InvalidParameterException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidParameterException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidParameterException) RequestID() string { return s.RespMetadata.RequestID } // The supplied revision id for the project policy is invalid. type InvalidPolicyRevisionIdException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidPolicyRevisionIdException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidPolicyRevisionIdException) GoString() string { return s.String() } func newErrorInvalidPolicyRevisionIdException(v protocol.ResponseMetadata) error { return &InvalidPolicyRevisionIdException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidPolicyRevisionIdException) Code() string { return "InvalidPolicyRevisionIdException" } // Message returns the exception's message. func (s InvalidPolicyRevisionIdException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidPolicyRevisionIdException) OrigErr() error { return nil } func (s InvalidPolicyRevisionIdException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidPolicyRevisionIdException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidPolicyRevisionIdException) RequestID() string { return s.RespMetadata.RequestID } // Amazon Rekognition is unable to access the S3 object specified in the request. type InvalidS3ObjectException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidS3ObjectException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s InvalidS3ObjectException) GoString() string { return s.String() } func newErrorInvalidS3ObjectException(v protocol.ResponseMetadata) error { return &InvalidS3ObjectException{ RespMetadata: v, } } // Code returns the exception type name. func (s InvalidS3ObjectException) Code() string { return "InvalidS3ObjectException" } // Message returns the exception's message. func (s InvalidS3ObjectException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s InvalidS3ObjectException) OrigErr() error { return nil } func (s InvalidS3ObjectException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s InvalidS3ObjectException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s InvalidS3ObjectException) RequestID() string { return s.RespMetadata.RequestID } // The Kinesis data stream Amazon Rekognition to which the analysis results // of a Amazon Rekognition stream processor are streamed. For more information, // see CreateStreamProcessor in the Amazon Rekognition Developer Guide. type KinesisDataStream struct { _ struct{} `type:"structure"` // ARN of the output Amazon Kinesis Data Streams stream. Arn string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisDataStream) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisDataStream) GoString() string { return s.String() } // SetArn sets the Arn field's value. func (s KinesisDataStream) SetArn(v string) KinesisDataStream { s.Arn = &v return s } // Kinesis video stream stream that provides the source streaming video for // a Amazon Rekognition Video stream processor. For more information, see CreateStreamProcessor // in the Amazon Rekognition Developer Guide. type KinesisVideoStream struct { _ struct{} `type:"structure"` // ARN of the Kinesis video stream stream that streams the source video. Arn string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisVideoStream) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisVideoStream) GoString() string { return s.String() } // SetArn sets the Arn field's value. func (s KinesisVideoStream) SetArn(v string) KinesisVideoStream { s.Arn = &v return s } // Specifies the starting point in a Kinesis stream to start processing. You // can use the producer timestamp or the fragment number. One of either producer // timestamp or fragment number is required. If you use the producer timestamp, // you must put the time in milliseconds. For more information about fragment // numbers, see Fragment (https://docs.aws.amazon.com/kinesisvideostreams/latest/dg/API_reader_Fragment.html). type KinesisVideoStreamStartSelector struct { _ struct{} `type:"structure"` // The unique identifier of the fragment. This value monotonically increases // based on the ingestion order. FragmentNumber string `min:"1" type:"string"` // The timestamp from the producer corresponding to the fragment, in milliseconds, // expressed in unix time format. ProducerTimestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisVideoStreamStartSelector) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KinesisVideoStreamStartSelector) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s KinesisVideoStreamStartSelector) Validate() error { invalidParams := request.ErrInvalidParams{Context: "KinesisVideoStreamStartSelector"} if s.FragmentNumber != nil && len(s.FragmentNumber) < 1 { invalidParams.Add(request.NewErrParamMinLen("FragmentNumber", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetFragmentNumber sets the FragmentNumber field's value. func (s KinesisVideoStreamStartSelector) SetFragmentNumber(v string) KinesisVideoStreamStartSelector { s.FragmentNumber = &v return s } // SetProducerTimestamp sets the ProducerTimestamp field's value. func (s KinesisVideoStreamStartSelector) SetProducerTimestamp(v int64) KinesisVideoStreamStartSelector { s.ProducerTimestamp = &v return s } // The known gender identity for the celebrity that matches the provided ID. // The known gender identity can be Male, Female, Nonbinary, or Unlisted. type KnownGender struct { _ struct{} `type:"structure"` // A string value of the KnownGender info about the Celebrity. Type string `type:"string" enum:"KnownGenderType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KnownGender) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s KnownGender) GoString() string { return s.String() } // SetType sets the Type field's value. func (s KnownGender) SetType(v string) KnownGender { s.Type = &v return s } // Structure containing details about the detected label, including the name, // detected instances, parent labels, and level of confidence. type Label struct { _ struct{} `type:"structure"` // A list of potential aliases for a given label. Aliases []LabelAlias `type:"list"` // A list of the categories associated with a given label. Categories []LabelCategory `type:"list"` // Level of confidence. Confidence float64 `type:"float"` // If Label represents an object, Instances contains the bounding boxes for // each instance of the detected object. Bounding boxes are returned for common // object labels such as people, cars, furniture, apparel or pets. Instances []Instance `type:"list"` // The name (label) of the object or scene. Name string `type:"string"` // The parent labels for a label. The response includes all ancestor labels. Parents []Parent `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Label) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Label) GoString() string { return s.String() } // SetAliases sets the Aliases field's value. func (s Label) SetAliases(v []LabelAlias) Label { s.Aliases = v return s } // SetCategories sets the Categories field's value. func (s Label) SetCategories(v []LabelCategory) Label { s.Categories = v return s } // SetConfidence sets the Confidence field's value. func (s Label) SetConfidence(v float64) Label { s.Confidence = &v return s } // SetInstances sets the Instances field's value. func (s Label) SetInstances(v []Instance) Label { s.Instances = v return s } // SetName sets the Name field's value. func (s Label) SetName(v string) Label { s.Name = &v return s } // SetParents sets the Parents field's value. func (s Label) SetParents(v []Parent) Label { s.Parents = v return s } // A potential alias of for a given label. type LabelAlias struct { _ struct{} `type:"structure"` // The name of an alias for a given label. Name string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelAlias) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelAlias) GoString() string { return s.String() } // SetName sets the Name field's value. func (s LabelAlias) SetName(v string) LabelAlias { s.Name = &v return s } // The category that applies to a given label. type LabelCategory struct { _ struct{} `type:"structure"` // The name of a category that applies to a given label. Name string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelCategory) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelCategory) GoString() string { return s.String() } // SetName sets the Name field's value. func (s LabelCategory) SetName(v string) LabelCategory { s.Name = &v return s } // Information about a label detected in a video analysis request and the time // the label was detected in the video. type LabelDetection struct { _ struct{} `type:"structure"` // The time duration of a segment in milliseconds, I.e. time elapsed from StartTimestampMillis // to EndTimestampMillis. DurationMillis int64 `type:"long"` // The time in milliseconds defining the end of the timeline segment containing // a continuously detected label. EndTimestampMillis int64 `type:"long"` // Details about the detected label. Label Label `type:"structure"` // The time in milliseconds defining the start of the timeline segment containing // a continuously detected label. StartTimestampMillis int64 `type:"long"` // Time, in milliseconds from the start of the video, that the label was detected. // Note that Timestamp is not guaranteed to be accurate to the individual frame // where the label first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelDetection) GoString() string { return s.String() } // SetDurationMillis sets the DurationMillis field's value. func (s LabelDetection) SetDurationMillis(v int64) LabelDetection { s.DurationMillis = &v return s } // SetEndTimestampMillis sets the EndTimestampMillis field's value. func (s LabelDetection) SetEndTimestampMillis(v int64) LabelDetection { s.EndTimestampMillis = &v return s } // SetLabel sets the Label field's value. func (s LabelDetection) SetLabel(v Label) LabelDetection { s.Label = v return s } // SetStartTimestampMillis sets the StartTimestampMillis field's value. func (s LabelDetection) SetStartTimestampMillis(v int64) LabelDetection { s.StartTimestampMillis = &v return s } // SetTimestamp sets the Timestamp field's value. func (s LabelDetection) SetTimestamp(v int64) LabelDetection { s.Timestamp = &v return s } // Contains the specified filters that should be applied to a list of returned // GENERAL_LABELS. type LabelDetectionSettings struct { _ struct{} `type:"structure"` // Contains filters for the object labels returned by DetectLabels. Filters // can be inclusive, exclusive, or a combination of both and can be applied // to individual labels or entire label categories. To see a list of label categories, // see Detecting Labels (https://docs.aws.amazon.com/rekognition/latest/dg/labels.html). GeneralLabels GeneralLabelsSettings `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelDetectionSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LabelDetectionSettings) GoString() string { return s.String() } // SetGeneralLabels sets the GeneralLabels field's value. func (s LabelDetectionSettings) SetGeneralLabels(v GeneralLabelsSettings) LabelDetectionSettings { s.GeneralLabels = v return s } // Indicates the location of the landmark on the face. type Landmark struct { _ struct{} `type:"structure"` // Type of landmark. Type string `type:"string" enum:"LandmarkType"` // The x-coordinate of the landmark expressed as a ratio of the width of the // image. The x-coordinate is measured from the left-side of the image. For // example, if the image is 700 pixels wide and the x-coordinate of the landmark // is at 350 pixels, this value is 0.5. X float64 `type:"float"` // The y-coordinate of the landmark expressed as a ratio of the height of the // image. The y-coordinate is measured from the top of the image. For example, // if the image height is 200 pixels and the y-coordinate of the landmark is // at 50 pixels, this value is 0.25. Y float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Landmark) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Landmark) GoString() string { return s.String() } // SetType sets the Type field's value. func (s Landmark) SetType(v string) Landmark { s.Type = &v return s } // SetX sets the X field's value. func (s Landmark) SetX(v float64) Landmark { s.X = &v return s } // SetY sets the Y field's value. func (s Landmark) SetY(v float64) Landmark { s.Y = &v return s } // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. type LimitExceededException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LimitExceededException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LimitExceededException) GoString() string { return s.String() } func newErrorLimitExceededException(v protocol.ResponseMetadata) error { return &LimitExceededException{ RespMetadata: v, } } // Code returns the exception type name. func (s LimitExceededException) Code() string { return "LimitExceededException" } // Message returns the exception's message. func (s LimitExceededException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s LimitExceededException) OrigErr() error { return nil } func (s LimitExceededException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s LimitExceededException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s LimitExceededException) RequestID() string { return s.RespMetadata.RequestID } type ListCollectionsInput struct { _ struct{} `type:"structure"` // Maximum number of collection IDs to return. MaxResults int64 `type:"integer"` // Pagination token from the previous response. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListCollectionsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListCollectionsInput) GoString() string { return s.String() } // SetMaxResults sets the MaxResults field's value. func (s ListCollectionsInput) SetMaxResults(v int64) ListCollectionsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListCollectionsInput) SetNextToken(v string) ListCollectionsInput { s.NextToken = &v return s } type ListCollectionsOutput struct { _ struct{} `type:"structure"` // An array of collection IDs. CollectionIds []string `type:"list"` // Version numbers of the face detection models associated with the collections // in the array CollectionIds. For example, the value of FaceModelVersions[2] // is the version number for the face detection model used by the collection // in CollectionId[2]. FaceModelVersions []string `type:"list"` // If the result is truncated, the response provides a NextToken that you can // use in the subsequent request to fetch the next set of collection IDs. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListCollectionsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListCollectionsOutput) GoString() string { return s.String() } // SetCollectionIds sets the CollectionIds field's value. func (s ListCollectionsOutput) SetCollectionIds(v []string) ListCollectionsOutput { s.CollectionIds = v return s } // SetFaceModelVersions sets the FaceModelVersions field's value. func (s ListCollectionsOutput) SetFaceModelVersions(v []string) ListCollectionsOutput { s.FaceModelVersions = v return s } // SetNextToken sets the NextToken field's value. func (s ListCollectionsOutput) SetNextToken(v string) ListCollectionsOutput { s.NextToken = &v return s } type ListDatasetEntriesInput struct { _ struct{} `type:"structure"` // Specifies a label filter for the response. The response includes an entry // only if one or more of the labels in ContainsLabels exist in the entry. ContainsLabels []string `min:"1" type:"list"` // The Amazon Resource Name (ARN) for the dataset that you want to use. // // DatasetArn is a required field DatasetArn string `min:"20" type:"string" required:"true"` // Specifies an error filter for the response. Specify True to only include // entries that have errors. HasErrors bool `type:"boolean"` // Specify true to get only the JSON Lines where the image is labeled. Specify // false to get only the JSON Lines where the image isn't labeled. If you don't // specify Labeled, ListDatasetEntries returns JSON Lines for labeled and unlabeled // images. Labeled bool `type:"boolean"` // The maximum number of results to return per paginated call. The largest value // you can specify is 100. If you specify a value greater than 100, a ValidationException // error occurs. The default value is 100. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition Custom Labels returns a pagination token in // the response. You can use this pagination token to retrieve the next set // of results. NextToken string `type:"string"` // If specified, ListDatasetEntries only returns JSON Lines where the value // of SourceRefContains is part of the source-ref field. The source-ref field // contains the Amazon S3 location of the image. You can use SouceRefContains // for tasks such as getting the JSON Line for a single image, or gettting JSON // Lines for all images within a specific folder. SourceRefContains string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetEntriesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetEntriesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListDatasetEntriesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListDatasetEntriesInput"} if s.ContainsLabels != nil && len(s.ContainsLabels) < 1 { invalidParams.Add(request.NewErrParamMinLen("ContainsLabels", 1)) } if s.DatasetArn == nil { invalidParams.Add(request.NewErrParamRequired("DatasetArn")) } if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if s.SourceRefContains != nil && len(s.SourceRefContains) < 1 { invalidParams.Add(request.NewErrParamMinLen("SourceRefContains", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetContainsLabels sets the ContainsLabels field's value. func (s ListDatasetEntriesInput) SetContainsLabels(v []string) ListDatasetEntriesInput { s.ContainsLabels = v return s } // SetDatasetArn sets the DatasetArn field's value. func (s ListDatasetEntriesInput) SetDatasetArn(v string) ListDatasetEntriesInput { s.DatasetArn = &v return s } // SetHasErrors sets the HasErrors field's value. func (s ListDatasetEntriesInput) SetHasErrors(v bool) ListDatasetEntriesInput { s.HasErrors = &v return s } // SetLabeled sets the Labeled field's value. func (s ListDatasetEntriesInput) SetLabeled(v bool) ListDatasetEntriesInput { s.Labeled = &v return s } // SetMaxResults sets the MaxResults field's value. func (s ListDatasetEntriesInput) SetMaxResults(v int64) ListDatasetEntriesInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListDatasetEntriesInput) SetNextToken(v string) ListDatasetEntriesInput { s.NextToken = &v return s } // SetSourceRefContains sets the SourceRefContains field's value. func (s ListDatasetEntriesInput) SetSourceRefContains(v string) ListDatasetEntriesInput { s.SourceRefContains = &v return s } type ListDatasetEntriesOutput struct { _ struct{} `type:"structure"` // A list of entries (images) in the dataset. DatasetEntries []string `type:"list"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition Custom Labels returns a pagination token in // the response. You can use this pagination token to retrieve the next set // of results. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetEntriesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetEntriesOutput) GoString() string { return s.String() } // SetDatasetEntries sets the DatasetEntries field's value. func (s ListDatasetEntriesOutput) SetDatasetEntries(v []string) ListDatasetEntriesOutput { s.DatasetEntries = v return s } // SetNextToken sets the NextToken field's value. func (s ListDatasetEntriesOutput) SetNextToken(v string) ListDatasetEntriesOutput { s.NextToken = &v return s } type ListDatasetLabelsInput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the dataset that you want to use. // // DatasetArn is a required field DatasetArn string `min:"20" type:"string" required:"true"` // The maximum number of results to return per paginated call. The largest value // you can specify is 100. If you specify a value greater than 100, a ValidationException // error occurs. The default value is 100. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition Custom Labels returns a pagination token in // the response. You can use this pagination token to retrieve the next set // of results. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetLabelsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetLabelsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListDatasetLabelsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListDatasetLabelsInput"} if s.DatasetArn == nil { invalidParams.Add(request.NewErrParamRequired("DatasetArn")) } if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDatasetArn sets the DatasetArn field's value. func (s ListDatasetLabelsInput) SetDatasetArn(v string) ListDatasetLabelsInput { s.DatasetArn = &v return s } // SetMaxResults sets the MaxResults field's value. func (s ListDatasetLabelsInput) SetMaxResults(v int64) ListDatasetLabelsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListDatasetLabelsInput) SetNextToken(v string) ListDatasetLabelsInput { s.NextToken = &v return s } type ListDatasetLabelsOutput struct { _ struct{} `type:"structure"` // A list of the labels in the dataset. DatasetLabelDescriptions []DatasetLabelDescription `type:"list"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition Custom Labels returns a pagination token in // the response. You can use this pagination token to retrieve the next set // of results. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetLabelsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListDatasetLabelsOutput) GoString() string { return s.String() } // SetDatasetLabelDescriptions sets the DatasetLabelDescriptions field's value. func (s ListDatasetLabelsOutput) SetDatasetLabelDescriptions(v []DatasetLabelDescription) ListDatasetLabelsOutput { s.DatasetLabelDescriptions = v return s } // SetNextToken sets the NextToken field's value. func (s ListDatasetLabelsOutput) SetNextToken(v string) ListDatasetLabelsOutput { s.NextToken = &v return s } type ListFacesInput struct { _ struct{} `type:"structure"` // ID of the collection from which to list the faces. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // An array of face IDs to filter results with when listing faces in a collection. FaceIds []string `min:"1" type:"list"` // Maximum number of faces to return. MaxResults int64 `type:"integer"` // If the previous response was incomplete (because there is more data to retrieve), // Amazon Rekognition returns a pagination token in the response. You can use // this pagination token to retrieve the next set of faces. NextToken string `type:"string"` // An array of user IDs to filter results with when listing faces in a collection. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListFacesInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.FaceIds != nil && len(s.FaceIds) < 1 { invalidParams.Add(request.NewErrParamMinLen("FaceIds", 1)) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s ListFacesInput) SetCollectionId(v string) ListFacesInput { s.CollectionId = &v return s } // SetFaceIds sets the FaceIds field's value. func (s ListFacesInput) SetFaceIds(v []string) ListFacesInput { s.FaceIds = v return s } // SetMaxResults sets the MaxResults field's value. func (s ListFacesInput) SetMaxResults(v int64) ListFacesInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListFacesInput) SetNextToken(v string) ListFacesInput { s.NextToken = &v return s } // SetUserId sets the UserId field's value. func (s ListFacesInput) SetUserId(v string) ListFacesInput { s.UserId = &v return s } type ListFacesOutput struct { _ struct{} `type:"structure"` // Version number of the face detection model associated with the input collection // (CollectionId). FaceModelVersion string `type:"string"` // An array of Face objects. Faces []Face `type:"list"` // If the response is truncated, Amazon Rekognition returns this token that // you can use in the subsequent request to retrieve the next set of faces. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListFacesOutput) GoString() string { return s.String() } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s ListFacesOutput) SetFaceModelVersion(v string) ListFacesOutput { s.FaceModelVersion = &v return s } // SetFaces sets the Faces field's value. func (s ListFacesOutput) SetFaces(v []Face) ListFacesOutput { s.Faces = v return s } // SetNextToken sets the NextToken field's value. func (s ListFacesOutput) SetNextToken(v string) ListFacesOutput { s.NextToken = &v return s } type ListMediaAnalysisJobsInput struct { _ struct{} `type:"structure"` // The maximum number of results to return per paginated call. The largest value // user can specify is 100. If user specifies a value greater than 100, an InvalidParameterException // error occurs. The default value is 100. MaxResults int64 `min:"1" type:"integer"` // Pagination token, if the previous response was incomplete. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListMediaAnalysisJobsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListMediaAnalysisJobsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListMediaAnalysisJobsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListMediaAnalysisJobsInput"} if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxResults sets the MaxResults field's value. func (s ListMediaAnalysisJobsInput) SetMaxResults(v int64) ListMediaAnalysisJobsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListMediaAnalysisJobsInput) SetNextToken(v string) ListMediaAnalysisJobsInput { s.NextToken = &v return s } type ListMediaAnalysisJobsOutput struct { _ struct{} `type:"structure"` // Contains a list of all media analysis jobs. // // MediaAnalysisJobs is a required field MediaAnalysisJobs []MediaAnalysisJobDescription `type:"list" required:"true"` // Pagination token, if the previous response was incomplete. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListMediaAnalysisJobsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListMediaAnalysisJobsOutput) GoString() string { return s.String() } // SetMediaAnalysisJobs sets the MediaAnalysisJobs field's value. func (s ListMediaAnalysisJobsOutput) SetMediaAnalysisJobs(v []MediaAnalysisJobDescription) ListMediaAnalysisJobsOutput { s.MediaAnalysisJobs = v return s } // SetNextToken sets the NextToken field's value. func (s ListMediaAnalysisJobsOutput) SetNextToken(v string) ListMediaAnalysisJobsOutput { s.NextToken = &v return s } type ListProjectPoliciesInput struct { _ struct{} `type:"structure"` // The maximum number of results to return per paginated call. The largest value // you can specify is 5. If you specify a value greater than 5, a ValidationException // error occurs. The default value is 5. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there is more results to // retrieve), Amazon Rekognition Custom Labels returns a pagination token in // the response. You can use this pagination token to retrieve the next set // of results. NextToken string `type:"string"` // The ARN of the project for which you want to list the project policies. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListProjectPoliciesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListProjectPoliciesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListProjectPoliciesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListProjectPoliciesInput"} if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxResults sets the MaxResults field's value. func (s ListProjectPoliciesInput) SetMaxResults(v int64) ListProjectPoliciesInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListProjectPoliciesInput) SetNextToken(v string) ListProjectPoliciesInput { s.NextToken = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s ListProjectPoliciesInput) SetProjectArn(v string) ListProjectPoliciesInput { s.ProjectArn = &v return s } type ListProjectPoliciesOutput struct { _ struct{} `type:"structure"` // If the response is truncated, Amazon Rekognition returns this token that // you can use in the subsequent request to retrieve the next set of project // policies. NextToken string `type:"string"` // A list of project policies attached to the project. ProjectPolicies []ProjectPolicy `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListProjectPoliciesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListProjectPoliciesOutput) GoString() string { return s.String() } // SetNextToken sets the NextToken field's value. func (s ListProjectPoliciesOutput) SetNextToken(v string) ListProjectPoliciesOutput { s.NextToken = &v return s } // SetProjectPolicies sets the ProjectPolicies field's value. func (s ListProjectPoliciesOutput) SetProjectPolicies(v []ProjectPolicy) ListProjectPoliciesOutput { s.ProjectPolicies = v return s } type ListStreamProcessorsInput struct { _ struct{} `type:"structure"` // Maximum number of stream processors you want Amazon Rekognition Video to // return in the response. The default is 1000. MaxResults int64 `min:"1" type:"integer"` // If the previous response was incomplete (because there are more stream processors // to retrieve), Amazon Rekognition Video returns a pagination token in the // response. You can use this pagination token to retrieve the next set of stream // processors. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListStreamProcessorsInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListStreamProcessorsInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListStreamProcessorsInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListStreamProcessorsInput"} if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxResults sets the MaxResults field's value. func (s ListStreamProcessorsInput) SetMaxResults(v int64) ListStreamProcessorsInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListStreamProcessorsInput) SetNextToken(v string) ListStreamProcessorsInput { s.NextToken = &v return s } type ListStreamProcessorsOutput struct { _ struct{} `type:"structure"` // If the response is truncated, Amazon Rekognition Video returns this token // that you can use in the subsequent request to retrieve the next set of stream // processors. NextToken string `type:"string"` // List of stream processors that you have created. StreamProcessors []StreamProcessor `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListStreamProcessorsOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListStreamProcessorsOutput) GoString() string { return s.String() } // SetNextToken sets the NextToken field's value. func (s ListStreamProcessorsOutput) SetNextToken(v string) ListStreamProcessorsOutput { s.NextToken = &v return s } // SetStreamProcessors sets the StreamProcessors field's value. func (s ListStreamProcessorsOutput) SetStreamProcessors(v []StreamProcessor) ListStreamProcessorsOutput { s.StreamProcessors = v return s } type ListTagsForResourceInput struct { _ struct{} `type:"structure"` // Amazon Resource Name (ARN) of the model, collection, or stream processor // that contains the tags that you want a list of. // // ResourceArn is a required field ResourceArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListTagsForResourceInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListTagsForResourceInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListTagsForResourceInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListTagsForResourceInput"} if s.ResourceArn == nil { invalidParams.Add(request.NewErrParamRequired("ResourceArn")) } if s.ResourceArn != nil && len(s.ResourceArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ResourceArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetResourceArn sets the ResourceArn field's value. func (s ListTagsForResourceInput) SetResourceArn(v string) ListTagsForResourceInput { s.ResourceArn = &v return s } type ListTagsForResourceOutput struct { _ struct{} `type:"structure"` // A list of key-value tags assigned to the resource. Tags map[string]string `type:"map"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListTagsForResourceOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListTagsForResourceOutput) GoString() string { return s.String() } // SetTags sets the Tags field's value. func (s ListTagsForResourceOutput) SetTags(v map[string]string) ListTagsForResourceOutput { s.Tags = v return s } type ListUsersInput struct { _ struct{} `type:"structure"` // The ID of an existing collection. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // Maximum number of UsersID to return. MaxResults int64 `min:"1" type:"integer"` // Pagingation token to receive the next set of UsersID. NextToken string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListUsersInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListUsersInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ListUsersInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ListUsersInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.MaxResults != nil && s.MaxResults < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxResults", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s ListUsersInput) SetCollectionId(v string) ListUsersInput { s.CollectionId = &v return s } // SetMaxResults sets the MaxResults field's value. func (s ListUsersInput) SetMaxResults(v int64) ListUsersInput { s.MaxResults = &v return s } // SetNextToken sets the NextToken field's value. func (s ListUsersInput) SetNextToken(v string) ListUsersInput { s.NextToken = &v return s } type ListUsersOutput struct { _ struct{} `type:"structure"` // A pagination token to be used with the subsequent request if the response // is truncated. NextToken string `type:"string"` // List of UsersID associated with the specified collection. Users []User `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListUsersOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ListUsersOutput) GoString() string { return s.String() } // SetNextToken sets the NextToken field's value. func (s ListUsersOutput) SetNextToken(v string) ListUsersOutput { s.NextToken = &v return s } // SetUsers sets the Users field's value. func (s ListUsersOutput) SetUsers(v []User) ListUsersOutput { s.Users = v return s } // Contains settings that specify the location of an Amazon S3 bucket used to // store the output of a Face Liveness session. Note that the S3 bucket must // be located in the caller's AWS account and in the same region as the Face // Liveness end-point. Additionally, the Amazon S3 object keys are auto-generated // by the Face Liveness system. type LivenessOutputConfig struct { _ struct{} `type:"structure"` // The path to an AWS Amazon S3 bucket used to store Face Liveness session results. // // S3Bucket is a required field S3Bucket string `min:"3" type:"string" required:"true"` // The prefix prepended to the output files for the Face Liveness session results. S3KeyPrefix string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LivenessOutputConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s LivenessOutputConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s LivenessOutputConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "LivenessOutputConfig"} if s.S3Bucket == nil { invalidParams.Add(request.NewErrParamRequired("S3Bucket")) } if s.S3Bucket != nil && len(s.S3Bucket) < 3 { invalidParams.Add(request.NewErrParamMinLen("S3Bucket", 3)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Bucket sets the S3Bucket field's value. func (s LivenessOutputConfig) SetS3Bucket(v string) LivenessOutputConfig { s.S3Bucket = &v return s } // SetS3KeyPrefix sets the S3KeyPrefix field's value. func (s LivenessOutputConfig) SetS3KeyPrefix(v string) LivenessOutputConfig { s.S3KeyPrefix = &v return s } // The format of the project policy document that you supplied to PutProjectPolicy // is incorrect. type MalformedPolicyDocumentException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MalformedPolicyDocumentException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MalformedPolicyDocumentException) GoString() string { return s.String() } func newErrorMalformedPolicyDocumentException(v protocol.ResponseMetadata) error { return &MalformedPolicyDocumentException{ RespMetadata: v, } } // Code returns the exception type name. func (s MalformedPolicyDocumentException) Code() string { return "MalformedPolicyDocumentException" } // Message returns the exception's message. func (s MalformedPolicyDocumentException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s MalformedPolicyDocumentException) OrigErr() error { return nil } func (s MalformedPolicyDocumentException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s MalformedPolicyDocumentException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s MalformedPolicyDocumentException) RequestID() string { return s.RespMetadata.RequestID } // Contains metadata for a UserID matched with a given face. type MatchedUser struct { _ struct{} `type:"structure"` // A provided ID for the UserID. Unique within the collection. UserId string `min:"1" type:"string"` // The status of the user matched to a provided FaceID. UserStatus string `type:"string" enum:"UserStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MatchedUser) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MatchedUser) GoString() string { return s.String() } // SetUserId sets the UserId field's value. func (s MatchedUser) SetUserId(v string) MatchedUser { s.UserId = &v return s } // SetUserStatus sets the UserStatus field's value. func (s MatchedUser) SetUserStatus(v string) MatchedUser { s.UserStatus = &v return s } // Configuration for Moderation Labels Detection. type MediaAnalysisDetectModerationLabelsConfig struct { _ struct{} `type:"structure"` // Specifies the minimum confidence level for the moderation labels to return. // Amazon Rekognition doesn't return any labels with a confidence level lower // than this specified value. MinConfidence float64 `type:"float"` // Specifies the custom moderation model to be used during the label detection // job. If not provided the pre-trained model is used. ProjectVersion string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisDetectModerationLabelsConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisDetectModerationLabelsConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s MediaAnalysisDetectModerationLabelsConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "MediaAnalysisDetectModerationLabelsConfig"} if s.ProjectVersion != nil && len(s.ProjectVersion) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersion", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMinConfidence sets the MinConfidence field's value. func (s MediaAnalysisDetectModerationLabelsConfig) SetMinConfidence(v float64) MediaAnalysisDetectModerationLabelsConfig { s.MinConfidence = &v return s } // SetProjectVersion sets the ProjectVersion field's value. func (s MediaAnalysisDetectModerationLabelsConfig) SetProjectVersion(v string) MediaAnalysisDetectModerationLabelsConfig { s.ProjectVersion = &v return s } // Contains input information for a media analysis job. type MediaAnalysisInput_ struct { _ struct{} `type:"structure"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. // // S3Object is a required field S3Object S3Object `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisInput_) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisInput_) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s MediaAnalysisInput_) Validate() error { invalidParams := request.ErrInvalidParams{Context: "MediaAnalysisInput_"} if s.S3Object == nil { invalidParams.Add(request.NewErrParamRequired("S3Object")) } if s.S3Object != nil { if err := s.S3Object.Validate(); err != nil { invalidParams.AddNested("S3Object", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Object sets the S3Object field's value. func (s MediaAnalysisInput_) SetS3Object(v S3Object) MediaAnalysisInput_ { s.S3Object = v return s } // Description for a media analysis job. type MediaAnalysisJobDescription struct { _ struct{} `type:"structure"` // The Unix date and time when the job finished. CompletionTimestamp time.Time `type:"timestamp"` // The Unix date and time when the job was started. // // CreationTimestamp is a required field CreationTimestamp time.Time `type:"timestamp" required:"true"` // Details about the error that resulted in failure of the job. FailureDetails MediaAnalysisJobFailureDetails `type:"structure"` // Reference to the input manifest that was provided in the job creation request. // // Input is a required field Input MediaAnalysisInput_ `type:"structure" required:"true"` // The identifier for a media analysis job. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` // The name of a media analysis job. JobName string `min:"1" type:"string"` // KMS Key that was provided in the creation request. KmsKeyId string `min:"1" type:"string"` // Provides statistics on input manifest and errors identified in the input // manifest. ManifestSummary MediaAnalysisManifestSummary `type:"structure"` // Operation configurations that were provided during job creation. // // OperationsConfig is a required field OperationsConfig MediaAnalysisOperationsConfig `type:"structure" required:"true"` // Output configuration that was provided in the creation request. // // OutputConfig is a required field OutputConfig MediaAnalysisOutputConfig `type:"structure" required:"true"` // Output manifest that contains prediction results. Results MediaAnalysisResults `type:"structure"` // The status of the media analysis job being retrieved. // // Status is a required field Status string `type:"string" required:"true" enum:"MediaAnalysisJobStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisJobDescription) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisJobDescription) GoString() string { return s.String() } // SetCompletionTimestamp sets the CompletionTimestamp field's value. func (s MediaAnalysisJobDescription) SetCompletionTimestamp(v time.Time) MediaAnalysisJobDescription { s.CompletionTimestamp = &v return s } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s MediaAnalysisJobDescription) SetCreationTimestamp(v time.Time) MediaAnalysisJobDescription { s.CreationTimestamp = &v return s } // SetFailureDetails sets the FailureDetails field's value. func (s MediaAnalysisJobDescription) SetFailureDetails(v MediaAnalysisJobFailureDetails) MediaAnalysisJobDescription { s.FailureDetails = v return s } // SetInput sets the Input field's value. func (s MediaAnalysisJobDescription) SetInput(v MediaAnalysisInput_) MediaAnalysisJobDescription { s.Input = v return s } // SetJobId sets the JobId field's value. func (s MediaAnalysisJobDescription) SetJobId(v string) MediaAnalysisJobDescription { s.JobId = &v return s } // SetJobName sets the JobName field's value. func (s MediaAnalysisJobDescription) SetJobName(v string) MediaAnalysisJobDescription { s.JobName = &v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s MediaAnalysisJobDescription) SetKmsKeyId(v string) MediaAnalysisJobDescription { s.KmsKeyId = &v return s } // SetManifestSummary sets the ManifestSummary field's value. func (s MediaAnalysisJobDescription) SetManifestSummary(v MediaAnalysisManifestSummary) MediaAnalysisJobDescription { s.ManifestSummary = v return s } // SetOperationsConfig sets the OperationsConfig field's value. func (s MediaAnalysisJobDescription) SetOperationsConfig(v MediaAnalysisOperationsConfig) MediaAnalysisJobDescription { s.OperationsConfig = v return s } // SetOutputConfig sets the OutputConfig field's value. func (s MediaAnalysisJobDescription) SetOutputConfig(v MediaAnalysisOutputConfig) MediaAnalysisJobDescription { s.OutputConfig = v return s } // SetResults sets the Results field's value. func (s MediaAnalysisJobDescription) SetResults(v MediaAnalysisResults) MediaAnalysisJobDescription { s.Results = v return s } // SetStatus sets the Status field's value. func (s MediaAnalysisJobDescription) SetStatus(v string) MediaAnalysisJobDescription { s.Status = &v return s } // Details about the error that resulted in failure of the job. type MediaAnalysisJobFailureDetails struct { _ struct{} `type:"structure"` // Error code for the failed job. Code string `type:"string" enum:"MediaAnalysisJobFailureCode"` // Human readable error message. Message string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisJobFailureDetails) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisJobFailureDetails) GoString() string { return s.String() } // SetCode sets the Code field's value. func (s MediaAnalysisJobFailureDetails) SetCode(v string) MediaAnalysisJobFailureDetails { s.Code = &v return s } // SetMessage sets the Message field's value. func (s MediaAnalysisJobFailureDetails) SetMessage(v string) MediaAnalysisJobFailureDetails { s.Message = &v return s } // Summary that provides statistics on input manifest and errors identified // in the input manifest. type MediaAnalysisManifestSummary struct { _ struct{} `type:"structure"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisManifestSummary) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisManifestSummary) GoString() string { return s.String() } // SetS3Object sets the S3Object field's value. func (s MediaAnalysisManifestSummary) SetS3Object(v S3Object) MediaAnalysisManifestSummary { s.S3Object = v return s } // Object containing information about the model versions of selected features // in a given job. type MediaAnalysisModelVersions struct { _ struct{} `type:"structure"` // The Moderation base model version. Moderation string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisModelVersions) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisModelVersions) GoString() string { return s.String() } // SetModeration sets the Moderation field's value. func (s MediaAnalysisModelVersions) SetModeration(v string) MediaAnalysisModelVersions { s.Moderation = &v return s } // Configuration options for a media analysis job. Configuration is operation-specific. type MediaAnalysisOperationsConfig struct { _ struct{} `type:"structure"` // Contains configuration options for a DetectModerationLabels job. DetectModerationLabels MediaAnalysisDetectModerationLabelsConfig `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisOperationsConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisOperationsConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s MediaAnalysisOperationsConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "MediaAnalysisOperationsConfig"} if s.DetectModerationLabels != nil { if err := s.DetectModerationLabels.Validate(); err != nil { invalidParams.AddNested("DetectModerationLabels", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDetectModerationLabels sets the DetectModerationLabels field's value. func (s MediaAnalysisOperationsConfig) SetDetectModerationLabels(v MediaAnalysisDetectModerationLabelsConfig) MediaAnalysisOperationsConfig { s.DetectModerationLabels = v return s } // Output configuration provided in the job creation request. type MediaAnalysisOutputConfig struct { _ struct{} `type:"structure"` // Specifies the Amazon S3 bucket to contain the output of the media analysis // job. // // S3Bucket is a required field S3Bucket string `min:"3" type:"string" required:"true"` // Specifies the Amazon S3 key prefix that comes after the name of the bucket // you have designated for storage. S3KeyPrefix string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisOutputConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisOutputConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s MediaAnalysisOutputConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "MediaAnalysisOutputConfig"} if s.S3Bucket == nil { invalidParams.Add(request.NewErrParamRequired("S3Bucket")) } if s.S3Bucket != nil && len(s.S3Bucket) < 3 { invalidParams.Add(request.NewErrParamMinLen("S3Bucket", 3)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Bucket sets the S3Bucket field's value. func (s MediaAnalysisOutputConfig) SetS3Bucket(v string) MediaAnalysisOutputConfig { s.S3Bucket = &v return s } // SetS3KeyPrefix sets the S3KeyPrefix field's value. func (s MediaAnalysisOutputConfig) SetS3KeyPrefix(v string) MediaAnalysisOutputConfig { s.S3KeyPrefix = &v return s } // Contains the results for a media analysis job created with StartMediaAnalysisJob. type MediaAnalysisResults struct { _ struct{} `type:"structure"` // Information about the model versions for the features selected in a given // job. ModelVersions MediaAnalysisModelVersions `type:"structure"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisResults) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MediaAnalysisResults) GoString() string { return s.String() } // SetModelVersions sets the ModelVersions field's value. func (s MediaAnalysisResults) SetModelVersions(v MediaAnalysisModelVersions) MediaAnalysisResults { s.ModelVersions = v return s } // SetS3Object sets the S3Object field's value. func (s MediaAnalysisResults) SetS3Object(v S3Object) MediaAnalysisResults { s.S3Object = v return s } // Provides information about a single type of inappropriate, unwanted, or offensive // content found in an image or video. Each type of moderated content has a // label within a hierarchical taxonomy. For more information, see Content moderation // in the Amazon Rekognition Developer Guide. type ModerationLabel struct { _ struct{} `type:"structure"` // Specifies the confidence that Amazon Rekognition has that the label has been // correctly identified. // // If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, // the operation returns labels with a confidence value greater than or equal // to 50 percent. Confidence float64 `type:"float"` // The label name for the type of unsafe content detected in the image. Name string `type:"string"` // The name for the parent label. Labels at the top level of the hierarchy have // the parent label "". ParentName string `type:"string"` // The level of the moderation label with regard to its taxonomy, from 1 to // 3. TaxonomyLevel int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ModerationLabel) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ModerationLabel) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s ModerationLabel) SetConfidence(v float64) ModerationLabel { s.Confidence = &v return s } // SetName sets the Name field's value. func (s ModerationLabel) SetName(v string) ModerationLabel { s.Name = &v return s } // SetParentName sets the ParentName field's value. func (s ModerationLabel) SetParentName(v string) ModerationLabel { s.ParentName = &v return s } // SetTaxonomyLevel sets the TaxonomyLevel field's value. func (s ModerationLabel) SetTaxonomyLevel(v int64) ModerationLabel { s.TaxonomyLevel = &v return s } // Indicates whether or not the mouth on the face is open, and the confidence // level in the determination. type MouthOpen struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the mouth on the face is open or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MouthOpen) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s MouthOpen) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s MouthOpen) SetConfidence(v float64) MouthOpen { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s MouthOpen) SetValue(v bool) MouthOpen { s.Value = &v return s } // Indicates whether or not the face has a mustache, and the confidence level // in the determination. type Mustache struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the face has mustache or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Mustache) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Mustache) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Mustache) SetConfidence(v float64) Mustache { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Mustache) SetValue(v bool) Mustache { s.Value = &v return s } // The Amazon Simple Notification Service topic to which Amazon Rekognition // publishes the completion status of a video analysis operation. For more information, // see Calling Amazon Rekognition Video operations (https://docs.aws.amazon.com/rekognition/latest/dg/api-video.html). // Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition // if you are using the AmazonRekognitionServiceRole permissions policy to access // the topic. For more information, see Giving access to multiple Amazon SNS // topics (https://docs.aws.amazon.com/rekognition/latest/dg/api-video-roles.html#api-video-roles-all-topics). type NotificationChannel struct { _ struct{} `type:"structure"` // The ARN of an IAM role that gives Amazon Rekognition publishing permissions // to the Amazon SNS topic. // // RoleArn is a required field RoleArn string `type:"string" required:"true"` // The Amazon SNS topic to which Amazon Rekognition posts the completion status. // // SNSTopicArn is a required field SNSTopicArn string `type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s NotificationChannel) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s NotificationChannel) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s NotificationChannel) Validate() error { invalidParams := request.ErrInvalidParams{Context: "NotificationChannel"} if s.RoleArn == nil { invalidParams.Add(request.NewErrParamRequired("RoleArn")) } if s.SNSTopicArn == nil { invalidParams.Add(request.NewErrParamRequired("SNSTopicArn")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetRoleArn sets the RoleArn field's value. func (s NotificationChannel) SetRoleArn(v string) NotificationChannel { s.RoleArn = &v return s } // SetSNSTopicArn sets the SNSTopicArn field's value. func (s NotificationChannel) SetSNSTopicArn(v string) NotificationChannel { s.SNSTopicArn = &v return s } // The S3 bucket and folder location where training output is placed. type OutputConfig struct { _ struct{} `type:"structure"` // The S3 bucket where training output is placed. S3Bucket string `min:"3" type:"string"` // The prefix applied to the training output files. S3KeyPrefix string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s OutputConfig) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s OutputConfig) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s OutputConfig) Validate() error { invalidParams := request.ErrInvalidParams{Context: "OutputConfig"} if s.S3Bucket != nil && len(s.S3Bucket) < 3 { invalidParams.Add(request.NewErrParamMinLen("S3Bucket", 3)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Bucket sets the S3Bucket field's value. func (s OutputConfig) SetS3Bucket(v string) OutputConfig { s.S3Bucket = &v return s } // SetS3KeyPrefix sets the S3KeyPrefix field's value. func (s OutputConfig) SetS3KeyPrefix(v string) OutputConfig { s.S3KeyPrefix = &v return s } // A parent label for a label. A label can have 0, 1, or more parents. type Parent struct { _ struct{} `type:"structure"` // The name of the parent label. Name string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Parent) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Parent) GoString() string { return s.String() } // SetName sets the Name field's value. func (s Parent) SetName(v string) Parent { s.Name = &v return s } // Details about a person detected in a video analysis request. type PersonDetail struct { _ struct{} `type:"structure"` // Bounding box around the detected person. BoundingBox BoundingBox `type:"structure"` // Face details for the detected person. Face FaceDetail `type:"structure"` // Identifier for the person detected person within a video. Use to keep track // of the person throughout the video. The identifier is not stored by Amazon // Rekognition. Index int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonDetail) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonDetail) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s PersonDetail) SetBoundingBox(v BoundingBox) PersonDetail { s.BoundingBox = v return s } // SetFace sets the Face field's value. func (s PersonDetail) SetFace(v FaceDetail) PersonDetail { s.Face = v return s } // SetIndex sets the Index field's value. func (s PersonDetail) SetIndex(v int64) PersonDetail { s.Index = &v return s } // Details and path tracking information for a single time a person's path is // tracked in a video. Amazon Rekognition operations that track people's paths // return an array of PersonDetection objects with elements for each time a // person's path is tracked in a video. // // For more information, see GetPersonTracking in the Amazon Rekognition Developer // Guide. type PersonDetection struct { _ struct{} `type:"structure"` // Details about a person whose path was tracked in a video. Person PersonDetail `type:"structure"` // The time, in milliseconds from the start of the video, that the person's // path was tracked. Note that Timestamp is not guaranteed to be accurate to // the individual frame where the person's path first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonDetection) GoString() string { return s.String() } // SetPerson sets the Person field's value. func (s PersonDetection) SetPerson(v PersonDetail) PersonDetection { s.Person = v return s } // SetTimestamp sets the Timestamp field's value. func (s PersonDetection) SetTimestamp(v int64) PersonDetection { s.Timestamp = &v return s } // Information about a person whose face matches a face(s) in an Amazon Rekognition // collection. Includes information about the faces in the Amazon Rekognition // collection (FaceMatch), information about the person (PersonDetail), and // the time stamp for when the person was detected in a video. An array of PersonMatch // objects is returned by GetFaceSearch. type PersonMatch struct { _ struct{} `type:"structure"` // Information about the faces in the input collection that match the face of // a person in the video. FaceMatches []FaceMatch `type:"list"` // Information about the matched person. Person PersonDetail `type:"structure"` // The time, in milliseconds from the beginning of the video, that the person // was matched in the video. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonMatch) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PersonMatch) GoString() string { return s.String() } // SetFaceMatches sets the FaceMatches field's value. func (s PersonMatch) SetFaceMatches(v []FaceMatch) PersonMatch { s.FaceMatches = v return s } // SetPerson sets the Person field's value. func (s PersonMatch) SetPerson(v PersonDetail) PersonMatch { s.Person = v return s } // SetTimestamp sets the Timestamp field's value. func (s PersonMatch) SetTimestamp(v int64) PersonMatch { s.Timestamp = &v return s } // The X and Y coordinates of a point on an image or video frame. The X and // Y values are ratios of the overall image size or video resolution. For example, // if an input image is 700x200 and the values are X=0.5 and Y=0.25, then the // point is at the (350,50) pixel coordinate on the image. // // An array of Point objects makes up a Polygon. A Polygon is returned by DetectText // and by DetectCustomLabels Polygon represents a fine-grained polygon around // a detected item. For more information, see Geometry in the Amazon Rekognition // Developer Guide. type Point struct { _ struct{} `type:"structure"` // The value of the X coordinate for a point on a Polygon. X float64 `type:"float"` // The value of the Y coordinate for a point on a Polygon. Y float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Point) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Point) GoString() string { return s.String() } // SetX sets the X field's value. func (s Point) SetX(v float64) Point { s.X = &v return s } // SetY sets the Y field's value. func (s Point) SetY(v float64) Point { s.Y = &v return s } // Indicates the pose of the face as determined by its pitch, roll, and yaw. type Pose struct { _ struct{} `type:"structure"` // Value representing the face rotation on the pitch axis. Pitch float64 `type:"float"` // Value representing the face rotation on the roll axis. Roll float64 `type:"float"` // Value representing the face rotation on the yaw axis. Yaw float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Pose) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Pose) GoString() string { return s.String() } // SetPitch sets the Pitch field's value. func (s Pose) SetPitch(v float64) Pose { s.Pitch = &v return s } // SetRoll sets the Roll field's value. func (s Pose) SetRoll(v float64) Pose { s.Roll = &v return s } // SetYaw sets the Yaw field's value. func (s Pose) SetYaw(v float64) Pose { s.Yaw = &v return s } // A description of an Amazon Rekognition Custom Labels project. For more information, // see DescribeProjects. type ProjectDescription struct { _ struct{} `type:"structure"` // Indicates whether automatic retraining will be attempted for the versions // of the project. Applies only to adapters. AutoUpdate string `type:"string" enum:"ProjectAutoUpdate"` // The Unix timestamp for the date and time that the project was created. CreationTimestamp time.Time `type:"timestamp"` // Information about the training and test datasets in the project. Datasets []DatasetMetadata `type:"list"` // Specifies the project that is being customized. Feature string `type:"string" enum:"CustomizationFeature"` // The Amazon Resource Name (ARN) of the project. ProjectArn string `min:"20" type:"string"` // The current status of the project. Status string `type:"string" enum:"ProjectStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectDescription) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectDescription) GoString() string { return s.String() } // SetAutoUpdate sets the AutoUpdate field's value. func (s ProjectDescription) SetAutoUpdate(v string) ProjectDescription { s.AutoUpdate = &v return s } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s ProjectDescription) SetCreationTimestamp(v time.Time) ProjectDescription { s.CreationTimestamp = &v return s } // SetDatasets sets the Datasets field's value. func (s ProjectDescription) SetDatasets(v []DatasetMetadata) ProjectDescription { s.Datasets = v return s } // SetFeature sets the Feature field's value. func (s ProjectDescription) SetFeature(v string) ProjectDescription { s.Feature = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s ProjectDescription) SetProjectArn(v string) ProjectDescription { s.ProjectArn = &v return s } // SetStatus sets the Status field's value. func (s ProjectDescription) SetStatus(v string) ProjectDescription { s.Status = &v return s } // Describes a project policy in the response from ListProjectPolicies. type ProjectPolicy struct { _ struct{} `type:"structure"` // The Unix datetime for the creation of the project policy. CreationTimestamp time.Time `type:"timestamp"` // The Unix datetime for when the project policy was last updated. LastUpdatedTimestamp time.Time `type:"timestamp"` // The JSON document for the project policy. PolicyDocument string `min:"1" type:"string"` // The name of the project policy. PolicyName string `min:"1" type:"string"` // The revision ID of the project policy. PolicyRevisionId string `type:"string"` // The Amazon Resource Name (ARN) of the project to which the project policy // is attached. ProjectArn string `min:"20" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectPolicy) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectPolicy) GoString() string { return s.String() } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s ProjectPolicy) SetCreationTimestamp(v time.Time) ProjectPolicy { s.CreationTimestamp = &v return s } // SetLastUpdatedTimestamp sets the LastUpdatedTimestamp field's value. func (s ProjectPolicy) SetLastUpdatedTimestamp(v time.Time) ProjectPolicy { s.LastUpdatedTimestamp = &v return s } // SetPolicyDocument sets the PolicyDocument field's value. func (s ProjectPolicy) SetPolicyDocument(v string) ProjectPolicy { s.PolicyDocument = &v return s } // SetPolicyName sets the PolicyName field's value. func (s ProjectPolicy) SetPolicyName(v string) ProjectPolicy { s.PolicyName = &v return s } // SetPolicyRevisionId sets the PolicyRevisionId field's value. func (s ProjectPolicy) SetPolicyRevisionId(v string) ProjectPolicy { s.PolicyRevisionId = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s ProjectPolicy) SetProjectArn(v string) ProjectPolicy { s.ProjectArn = &v return s } // A description of a version of a Amazon Rekognition project version. type ProjectVersionDescription struct { _ struct{} `type:"structure"` // The base detection model version used to create the project version. BaseModelVersion string `type:"string"` // The duration, in seconds, that you were billed for a successful training // of the model version. This value is only returned if the model version has // been successfully trained. BillableTrainingTimeInSeconds int64 `type:"long"` // The Unix datetime for the date and time that training started. CreationTimestamp time.Time `type:"timestamp"` // The training results. EvaluationResult is only returned if training is successful. EvaluationResult EvaluationResult `type:"structure"` // The feature that was customized. Feature string `type:"string" enum:"CustomizationFeature"` // Feature specific configuration that was applied during training. FeatureConfig CustomizationFeatureConfig `type:"structure"` // The identifer for the AWS Key Management Service key (AWS KMS key) that was // used to encrypt the model during training. KmsKeyId string `min:"1" type:"string"` // The location of the summary manifest. The summary manifest provides aggregate // data validation results for the training and test datasets. ManifestSummary GroundTruthManifest `type:"structure"` // The maximum number of inference units Amazon Rekognition uses to auto-scale // the model. Applies only to Custom Labels projects. For more information, // see StartProjectVersion. MaxInferenceUnits int64 `min:"1" type:"integer"` // The minimum number of inference units used by the model. Applies only to // Custom Labels projects. For more information, see StartProjectVersion. MinInferenceUnits int64 `min:"1" type:"integer"` // The location where training results are saved. OutputConfig OutputConfig `type:"structure"` // The Amazon Resource Name (ARN) of the project version. ProjectVersionArn string `min:"20" type:"string"` // If the model version was copied from a different project, SourceProjectVersionArn // contains the ARN of the source model version. SourceProjectVersionArn string `min:"20" type:"string"` // The current status of the model version. Status string `type:"string" enum:"ProjectVersionStatus"` // A descriptive message for an error or warning that occurred. StatusMessage string `type:"string"` // Contains information about the testing results. TestingDataResult TestingDataResult `type:"structure"` // Contains information about the training results. TrainingDataResult TrainingDataResult `type:"structure"` // The Unix date and time that training of the model ended. TrainingEndTimestamp time.Time `type:"timestamp"` // A user-provided description of the project version. VersionDescription string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectVersionDescription) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProjectVersionDescription) GoString() string { return s.String() } // SetBaseModelVersion sets the BaseModelVersion field's value. func (s ProjectVersionDescription) SetBaseModelVersion(v string) ProjectVersionDescription { s.BaseModelVersion = &v return s } // SetBillableTrainingTimeInSeconds sets the BillableTrainingTimeInSeconds field's value. func (s ProjectVersionDescription) SetBillableTrainingTimeInSeconds(v int64) ProjectVersionDescription { s.BillableTrainingTimeInSeconds = &v return s } // SetCreationTimestamp sets the CreationTimestamp field's value. func (s ProjectVersionDescription) SetCreationTimestamp(v time.Time) ProjectVersionDescription { s.CreationTimestamp = &v return s } // SetEvaluationResult sets the EvaluationResult field's value. func (s ProjectVersionDescription) SetEvaluationResult(v EvaluationResult) ProjectVersionDescription { s.EvaluationResult = v return s } // SetFeature sets the Feature field's value. func (s ProjectVersionDescription) SetFeature(v string) ProjectVersionDescription { s.Feature = &v return s } // SetFeatureConfig sets the FeatureConfig field's value. func (s ProjectVersionDescription) SetFeatureConfig(v CustomizationFeatureConfig) ProjectVersionDescription { s.FeatureConfig = v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s ProjectVersionDescription) SetKmsKeyId(v string) ProjectVersionDescription { s.KmsKeyId = &v return s } // SetManifestSummary sets the ManifestSummary field's value. func (s ProjectVersionDescription) SetManifestSummary(v GroundTruthManifest) ProjectVersionDescription { s.ManifestSummary = v return s } // SetMaxInferenceUnits sets the MaxInferenceUnits field's value. func (s ProjectVersionDescription) SetMaxInferenceUnits(v int64) ProjectVersionDescription { s.MaxInferenceUnits = &v return s } // SetMinInferenceUnits sets the MinInferenceUnits field's value. func (s ProjectVersionDescription) SetMinInferenceUnits(v int64) ProjectVersionDescription { s.MinInferenceUnits = &v return s } // SetOutputConfig sets the OutputConfig field's value. func (s ProjectVersionDescription) SetOutputConfig(v OutputConfig) ProjectVersionDescription { s.OutputConfig = v return s } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s ProjectVersionDescription) SetProjectVersionArn(v string) ProjectVersionDescription { s.ProjectVersionArn = &v return s } // SetSourceProjectVersionArn sets the SourceProjectVersionArn field's value. func (s ProjectVersionDescription) SetSourceProjectVersionArn(v string) ProjectVersionDescription { s.SourceProjectVersionArn = &v return s } // SetStatus sets the Status field's value. func (s ProjectVersionDescription) SetStatus(v string) ProjectVersionDescription { s.Status = &v return s } // SetStatusMessage sets the StatusMessage field's value. func (s ProjectVersionDescription) SetStatusMessage(v string) ProjectVersionDescription { s.StatusMessage = &v return s } // SetTestingDataResult sets the TestingDataResult field's value. func (s ProjectVersionDescription) SetTestingDataResult(v TestingDataResult) ProjectVersionDescription { s.TestingDataResult = v return s } // SetTrainingDataResult sets the TrainingDataResult field's value. func (s ProjectVersionDescription) SetTrainingDataResult(v TrainingDataResult) ProjectVersionDescription { s.TrainingDataResult = v return s } // SetTrainingEndTimestamp sets the TrainingEndTimestamp field's value. func (s ProjectVersionDescription) SetTrainingEndTimestamp(v time.Time) ProjectVersionDescription { s.TrainingEndTimestamp = &v return s } // SetVersionDescription sets the VersionDescription field's value. func (s ProjectVersionDescription) SetVersionDescription(v string) ProjectVersionDescription { s.VersionDescription = &v return s } // Information about a body part detected by DetectProtectiveEquipment that // contains PPE. An array of ProtectiveEquipmentBodyPart objects is returned // for each person detected by DetectProtectiveEquipment. type ProtectiveEquipmentBodyPart struct { _ struct{} `type:"structure"` // The confidence that Amazon Rekognition has in the detection accuracy of the // detected body part. Confidence float64 `type:"float"` // An array of Personal Protective Equipment items detected around a body part. EquipmentDetections []EquipmentDetection `type:"list"` // The detected body part. Name string `type:"string" enum:"BodyPart"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentBodyPart) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentBodyPart) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s ProtectiveEquipmentBodyPart) SetConfidence(v float64) ProtectiveEquipmentBodyPart { s.Confidence = &v return s } // SetEquipmentDetections sets the EquipmentDetections field's value. func (s ProtectiveEquipmentBodyPart) SetEquipmentDetections(v []EquipmentDetection) ProtectiveEquipmentBodyPart { s.EquipmentDetections = v return s } // SetName sets the Name field's value. func (s ProtectiveEquipmentBodyPart) SetName(v string) ProtectiveEquipmentBodyPart { s.Name = &v return s } // A person detected by a call to DetectProtectiveEquipment. The API returns // all persons detected in the input image in an array of ProtectiveEquipmentPerson // objects. type ProtectiveEquipmentPerson struct { _ struct{} `type:"structure"` // An array of body parts detected on a person's body (including body parts // without PPE). BodyParts []ProtectiveEquipmentBodyPart `type:"list"` // A bounding box around the detected person. BoundingBox BoundingBox `type:"structure"` // The confidence that Amazon Rekognition has that the bounding box contains // a person. Confidence float64 `type:"float"` // The identifier for the detected person. The identifier is only unique for // a single call to DetectProtectiveEquipment. Id int64 `type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentPerson) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentPerson) GoString() string { return s.String() } // SetBodyParts sets the BodyParts field's value. func (s ProtectiveEquipmentPerson) SetBodyParts(v []ProtectiveEquipmentBodyPart) ProtectiveEquipmentPerson { s.BodyParts = v return s } // SetBoundingBox sets the BoundingBox field's value. func (s ProtectiveEquipmentPerson) SetBoundingBox(v BoundingBox) ProtectiveEquipmentPerson { s.BoundingBox = v return s } // SetConfidence sets the Confidence field's value. func (s ProtectiveEquipmentPerson) SetConfidence(v float64) ProtectiveEquipmentPerson { s.Confidence = &v return s } // SetId sets the Id field's value. func (s ProtectiveEquipmentPerson) SetId(v int64) ProtectiveEquipmentPerson { s.Id = &v return s } // Specifies summary attributes to return from a call to DetectProtectiveEquipment. // You can specify which types of PPE to summarize. You can also specify a minimum // confidence value for detections. Summary information is returned in the Summary // (ProtectiveEquipmentSummary) field of the response from DetectProtectiveEquipment. // The summary includes which persons in an image were detected wearing the // requested types of person protective equipment (PPE), which persons were // detected as not wearing PPE, and the persons in which a determination could // not be made. For more information, see ProtectiveEquipmentSummary. type ProtectiveEquipmentSummarizationAttributes struct { _ struct{} `type:"structure"` // The minimum confidence level for which you want summary information. The // confidence level applies to person detection, body part detection, equipment // detection, and body part coverage. Amazon Rekognition doesn't return summary // information with a confidence than this specified value. There isn't a default // value. // // Specify a MinConfidence value that is between 50-100% as DetectProtectiveEquipment // returns predictions only where the detection confidence is between 50% - // 100%. If you specify a value that is less than 50%, the results are the same // specifying a value of 50%. // // MinConfidence is a required field MinConfidence float64 `type:"float" required:"true"` // An array of personal protective equipment types for which you want summary // information. If a person is detected wearing a required requipment type, // the person's ID is added to the PersonsWithRequiredEquipment array field // returned in ProtectiveEquipmentSummary by DetectProtectiveEquipment. // // RequiredEquipmentTypes is a required field RequiredEquipmentTypes []string `type:"list" required:"true" enum:"ProtectiveEquipmentType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentSummarizationAttributes) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentSummarizationAttributes) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s ProtectiveEquipmentSummarizationAttributes) Validate() error { invalidParams := request.ErrInvalidParams{Context: "ProtectiveEquipmentSummarizationAttributes"} if s.MinConfidence == nil { invalidParams.Add(request.NewErrParamRequired("MinConfidence")) } if s.RequiredEquipmentTypes == nil { invalidParams.Add(request.NewErrParamRequired("RequiredEquipmentTypes")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMinConfidence sets the MinConfidence field's value. func (s ProtectiveEquipmentSummarizationAttributes) SetMinConfidence(v float64) ProtectiveEquipmentSummarizationAttributes { s.MinConfidence = &v return s } // SetRequiredEquipmentTypes sets the RequiredEquipmentTypes field's value. func (s ProtectiveEquipmentSummarizationAttributes) SetRequiredEquipmentTypes(v []string) ProtectiveEquipmentSummarizationAttributes { s.RequiredEquipmentTypes = v return s } // Summary information for required items of personal protective equipment (PPE) // detected on persons by a call to DetectProtectiveEquipment. You specify the // required type of PPE in the SummarizationAttributes (ProtectiveEquipmentSummarizationAttributes) // input parameter. The summary includes which persons were detected wearing // the required personal protective equipment (PersonsWithRequiredEquipment), // which persons were detected as not wearing the required PPE (PersonsWithoutRequiredEquipment), // and the persons in which a determination could not be made (PersonsIndeterminate). // // To get a total for each category, use the size of the field array. For example, // to find out how many people were detected as wearing the specified PPE, use // the size of the PersonsWithRequiredEquipment array. If you want to find out // more about a person, such as the location (BoundingBox) of the person on // the image, use the person ID in each array element. Each person ID matches // the ID field of a ProtectiveEquipmentPerson object returned in the Persons // array by DetectProtectiveEquipment. type ProtectiveEquipmentSummary struct { _ struct{} `type:"structure"` // An array of IDs for persons where it was not possible to determine if they // are wearing personal protective equipment. PersonsIndeterminate []int64 `type:"list"` // An array of IDs for persons who are wearing detected personal protective // equipment. PersonsWithRequiredEquipment []int64 `type:"list"` // An array of IDs for persons who are not wearing all of the types of PPE specified // in the RequiredEquipmentTypes field of the detected personal protective equipment. PersonsWithoutRequiredEquipment []int64 `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentSummary) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProtectiveEquipmentSummary) GoString() string { return s.String() } // SetPersonsIndeterminate sets the PersonsIndeterminate field's value. func (s ProtectiveEquipmentSummary) SetPersonsIndeterminate(v []int64) ProtectiveEquipmentSummary { s.PersonsIndeterminate = v return s } // SetPersonsWithRequiredEquipment sets the PersonsWithRequiredEquipment field's value. func (s ProtectiveEquipmentSummary) SetPersonsWithRequiredEquipment(v []int64) ProtectiveEquipmentSummary { s.PersonsWithRequiredEquipment = v return s } // SetPersonsWithoutRequiredEquipment sets the PersonsWithoutRequiredEquipment field's value. func (s ProtectiveEquipmentSummary) SetPersonsWithoutRequiredEquipment(v []int64) ProtectiveEquipmentSummary { s.PersonsWithoutRequiredEquipment = v return s } // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. type ProvisionedThroughputExceededException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProvisionedThroughputExceededException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ProvisionedThroughputExceededException) GoString() string { return s.String() } func newErrorProvisionedThroughputExceededException(v protocol.ResponseMetadata) error { return &ProvisionedThroughputExceededException{ RespMetadata: v, } } // Code returns the exception type name. func (s ProvisionedThroughputExceededException) Code() string { return "ProvisionedThroughputExceededException" } // Message returns the exception's message. func (s ProvisionedThroughputExceededException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ProvisionedThroughputExceededException) OrigErr() error { return nil } func (s ProvisionedThroughputExceededException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ProvisionedThroughputExceededException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ProvisionedThroughputExceededException) RequestID() string { return s.RespMetadata.RequestID } type PutProjectPolicyInput struct { _ struct{} `type:"structure"` // A resource policy to add to the model. The policy is a JSON structure that // contains one or more statements that define the policy. The policy must follow // the IAM syntax. For more information about the contents of a JSON policy // document, see IAM JSON policy reference (https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies.html). // // PolicyDocument is a required field PolicyDocument string `min:"1" type:"string" required:"true"` // A name for the policy. // // PolicyName is a required field PolicyName string `min:"1" type:"string" required:"true"` // The revision ID for the Project Policy. Each time you modify a policy, Amazon // Rekognition Custom Labels generates and assigns a new PolicyRevisionId and // then deletes the previous version of the policy. PolicyRevisionId string `type:"string"` // The Amazon Resource Name (ARN) of the project that the project policy is // attached to. // // ProjectArn is a required field ProjectArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PutProjectPolicyInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PutProjectPolicyInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s PutProjectPolicyInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "PutProjectPolicyInput"} if s.PolicyDocument == nil { invalidParams.Add(request.NewErrParamRequired("PolicyDocument")) } if s.PolicyDocument != nil && len(s.PolicyDocument) < 1 { invalidParams.Add(request.NewErrParamMinLen("PolicyDocument", 1)) } if s.PolicyName == nil { invalidParams.Add(request.NewErrParamRequired("PolicyName")) } if s.PolicyName != nil && len(s.PolicyName) < 1 { invalidParams.Add(request.NewErrParamMinLen("PolicyName", 1)) } if s.ProjectArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectArn")) } if s.ProjectArn != nil && len(s.ProjectArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetPolicyDocument sets the PolicyDocument field's value. func (s PutProjectPolicyInput) SetPolicyDocument(v string) PutProjectPolicyInput { s.PolicyDocument = &v return s } // SetPolicyName sets the PolicyName field's value. func (s PutProjectPolicyInput) SetPolicyName(v string) PutProjectPolicyInput { s.PolicyName = &v return s } // SetPolicyRevisionId sets the PolicyRevisionId field's value. func (s PutProjectPolicyInput) SetPolicyRevisionId(v string) PutProjectPolicyInput { s.PolicyRevisionId = &v return s } // SetProjectArn sets the ProjectArn field's value. func (s PutProjectPolicyInput) SetProjectArn(v string) PutProjectPolicyInput { s.ProjectArn = &v return s } type PutProjectPolicyOutput struct { _ struct{} `type:"structure"` // The ID of the project policy. PolicyRevisionId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PutProjectPolicyOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s PutProjectPolicyOutput) GoString() string { return s.String() } // SetPolicyRevisionId sets the PolicyRevisionId field's value. func (s PutProjectPolicyOutput) SetPolicyRevisionId(v string) PutProjectPolicyOutput { s.PolicyRevisionId = &v return s } type RecognizeCelebritiesInput struct { _ struct{} `type:"structure"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RecognizeCelebritiesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RecognizeCelebritiesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s RecognizeCelebritiesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "RecognizeCelebritiesInput"} if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetImage sets the Image field's value. func (s RecognizeCelebritiesInput) SetImage(v Image) RecognizeCelebritiesInput { s.Image = v return s } type RecognizeCelebritiesOutput struct { _ struct{} `type:"structure"` // Details about each celebrity found in the image. Amazon Rekognition can detect // a maximum of 64 celebrities in an image. Each celebrity object includes the // following attributes: Face, Confidence, Emotions, Landmarks, Pose, Quality, // Smile, Id, KnownGender, MatchConfidence, Name, Urls. CelebrityFaces []Celebrity `type:"list"` // // Support for estimating image orientation using the the OrientationCorrection // field has ceased as of August 2021. Any returned values for this field included // in an API response will always be NULL. // // The orientation of the input image (counterclockwise direction). If your // application displays the image, you can use this value to correct the orientation. // The bounding box coordinates returned in CelebrityFaces and UnrecognizedFaces // represent face locations before the image orientation is corrected. // // If the input image is in .jpeg format, it might contain exchangeable image // (Exif) metadata that includes the image's orientation. If so, and the Exif // metadata for the input image populates the orientation field, the value of // OrientationCorrection is null. The CelebrityFaces and UnrecognizedFaces bounding // box coordinates represent face locations after Exif metadata is used to correct // the image orientation. Images in .png format don't contain Exif metadata. OrientationCorrection string `type:"string" enum:"OrientationCorrection"` // Details about each unrecognized face in the image. UnrecognizedFaces []ComparedFace `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RecognizeCelebritiesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RecognizeCelebritiesOutput) GoString() string { return s.String() } // SetCelebrityFaces sets the CelebrityFaces field's value. func (s RecognizeCelebritiesOutput) SetCelebrityFaces(v []Celebrity) RecognizeCelebritiesOutput { s.CelebrityFaces = v return s } // SetOrientationCorrection sets the OrientationCorrection field's value. func (s RecognizeCelebritiesOutput) SetOrientationCorrection(v string) RecognizeCelebritiesOutput { s.OrientationCorrection = &v return s } // SetUnrecognizedFaces sets the UnrecognizedFaces field's value. func (s RecognizeCelebritiesOutput) SetUnrecognizedFaces(v []ComparedFace) RecognizeCelebritiesOutput { s.UnrecognizedFaces = v return s } // Specifies a location within the frame that Rekognition checks for objects // of interest such as text, labels, or faces. It uses a BoundingBox or Polygon // to set a region of the screen. // // A word, face, or label is included in the region if it is more than half // in that region. If there is more than one region, the word, face, or label // is compared with all regions of the screen. Any object of interest that is // more than half in a region is kept in the results. type RegionOfInterest struct { _ struct{} `type:"structure"` // The box representing a region of interest on screen. BoundingBox BoundingBox `type:"structure"` // Specifies a shape made up of up to 10 Point objects to define a region of // interest. Polygon []Point `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RegionOfInterest) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s RegionOfInterest) GoString() string { return s.String() } // SetBoundingBox sets the BoundingBox field's value. func (s RegionOfInterest) SetBoundingBox(v BoundingBox) RegionOfInterest { s.BoundingBox = v return s } // SetPolygon sets the Polygon field's value. func (s RegionOfInterest) SetPolygon(v []Point) RegionOfInterest { s.Polygon = v return s } // A resource with the specified ID already exists. type ResourceAlreadyExistsException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceAlreadyExistsException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceAlreadyExistsException) GoString() string { return s.String() } func newErrorResourceAlreadyExistsException(v protocol.ResponseMetadata) error { return &ResourceAlreadyExistsException{ RespMetadata: v, } } // Code returns the exception type name. func (s ResourceAlreadyExistsException) Code() string { return "ResourceAlreadyExistsException" } // Message returns the exception's message. func (s ResourceAlreadyExistsException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ResourceAlreadyExistsException) OrigErr() error { return nil } func (s ResourceAlreadyExistsException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ResourceAlreadyExistsException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ResourceAlreadyExistsException) RequestID() string { return s.RespMetadata.RequestID } // The specified resource is already being used. type ResourceInUseException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceInUseException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceInUseException) GoString() string { return s.String() } func newErrorResourceInUseException(v protocol.ResponseMetadata) error { return &ResourceInUseException{ RespMetadata: v, } } // Code returns the exception type name. func (s ResourceInUseException) Code() string { return "ResourceInUseException" } // Message returns the exception's message. func (s ResourceInUseException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ResourceInUseException) OrigErr() error { return nil } func (s ResourceInUseException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ResourceInUseException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ResourceInUseException) RequestID() string { return s.RespMetadata.RequestID } // The resource specified in the request cannot be found. type ResourceNotFoundException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceNotFoundException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceNotFoundException) GoString() string { return s.String() } func newErrorResourceNotFoundException(v protocol.ResponseMetadata) error { return &ResourceNotFoundException{ RespMetadata: v, } } // Code returns the exception type name. func (s ResourceNotFoundException) Code() string { return "ResourceNotFoundException" } // Message returns the exception's message. func (s ResourceNotFoundException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ResourceNotFoundException) OrigErr() error { return nil } func (s ResourceNotFoundException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ResourceNotFoundException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ResourceNotFoundException) RequestID() string { return s.RespMetadata.RequestID } // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. type ResourceNotReadyException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceNotReadyException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ResourceNotReadyException) GoString() string { return s.String() } func newErrorResourceNotReadyException(v protocol.ResponseMetadata) error { return &ResourceNotReadyException{ RespMetadata: v, } } // Code returns the exception type name. func (s ResourceNotReadyException) Code() string { return "ResourceNotReadyException" } // Message returns the exception's message. func (s ResourceNotReadyException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ResourceNotReadyException) OrigErr() error { return nil } func (s ResourceNotReadyException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ResourceNotReadyException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ResourceNotReadyException) RequestID() string { return s.RespMetadata.RequestID } // The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed // inference results of a video analysis operation. These results include the // name of the stream processor resource, the session ID of the stream processing // session, and labeled timestamps and bounding boxes for detected labels. type S3Destination struct { _ struct{} `type:"structure"` // The name of the Amazon S3 bucket you want to associate with the streaming // video project. You must be the owner of the Amazon S3 bucket. Bucket string `min:"3" type:"string"` // The prefix value of the location within the bucket that you want the information // to be published to. For more information, see Using prefixes (https://docs.aws.amazon.com/AmazonS3/latest/userguide/using-prefixes.html). KeyPrefix string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s S3Destination) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s S3Destination) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s S3Destination) Validate() error { invalidParams := request.ErrInvalidParams{Context: "S3Destination"} if s.Bucket != nil && len(s.Bucket) < 3 { invalidParams.Add(request.NewErrParamMinLen("Bucket", 3)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetBucket sets the Bucket field's value. func (s S3Destination) SetBucket(v string) S3Destination { s.Bucket = &v return s } // SetKeyPrefix sets the KeyPrefix field's value. func (s S3Destination) SetKeyPrefix(v string) S3Destination { s.KeyPrefix = &v return s } // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. type S3Object struct { _ struct{} `type:"structure"` // Name of the S3 bucket. Bucket string `min:"3" type:"string"` // S3 object key name. Name string `min:"1" type:"string"` // If the bucket is versioning enabled, you can specify the object version. Version string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s S3Object) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s S3Object) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s S3Object) Validate() error { invalidParams := request.ErrInvalidParams{Context: "S3Object"} if s.Bucket != nil && len(s.Bucket) < 3 { invalidParams.Add(request.NewErrParamMinLen("Bucket", 3)) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if s.Version != nil && len(s.Version) < 1 { invalidParams.Add(request.NewErrParamMinLen("Version", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetBucket sets the Bucket field's value. func (s S3Object) SetBucket(v string) S3Object { s.Bucket = &v return s } // SetName sets the Name field's value. func (s S3Object) SetName(v string) S3Object { s.Name = &v return s } // SetVersion sets the Version field's value. func (s S3Object) SetVersion(v string) S3Object { s.Version = &v return s } type SearchFacesByImageInput struct { _ struct{} `type:"structure"` // ID of the collection to search. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // (Optional) Specifies the minimum confidence in the face match to return. // For example, don't return any matches where confidence in matches is less // than 70%. The default value is 80%. FaceMatchThreshold float64 `type:"float"` // The input image as base64-encoded bytes or an S3 object. If you use the AWS // CLI to call Amazon Rekognition operations, passing base64-encoded image bytes // is not supported. // // If you are using an AWS SDK to call Amazon Rekognition, you might not need // to base64-encode image bytes passed using the Bytes field. For more information, // see Images in the Amazon Rekognition developer guide. // // Image is a required field Image Image `type:"structure" required:"true"` // Maximum number of faces to return. The operation returns the maximum number // of faces with the highest confidence in the match. MaxFaces int64 `min:"1" type:"integer"` // A filter that specifies a quality bar for how much filtering is done to identify // faces. Filtered faces aren't searched for in the collection. If you specify // AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, // or HIGH, filtering removes all faces that don’t meet the chosen quality // bar. The quality bar is based on a variety of common use cases. Low-quality // detections can occur for a number of reasons. Some examples are an object // that's misidentified as a face, a face that's too blurry, or a face with // a pose that's too extreme to use. If you specify NONE, no filtering is performed. // The default value is NONE. // // To use quality filtering, the collection you are using must be associated // with version 3 of the face model or higher. QualityFilter string `type:"string" enum:"QualityFilter"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesByImageInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesByImageInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s SearchFacesByImageInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "SearchFacesByImageInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.MaxFaces != nil && s.MaxFaces < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxFaces", 1)) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s SearchFacesByImageInput) SetCollectionId(v string) SearchFacesByImageInput { s.CollectionId = &v return s } // SetFaceMatchThreshold sets the FaceMatchThreshold field's value. func (s SearchFacesByImageInput) SetFaceMatchThreshold(v float64) SearchFacesByImageInput { s.FaceMatchThreshold = &v return s } // SetImage sets the Image field's value. func (s SearchFacesByImageInput) SetImage(v Image) SearchFacesByImageInput { s.Image = v return s } // SetMaxFaces sets the MaxFaces field's value. func (s SearchFacesByImageInput) SetMaxFaces(v int64) SearchFacesByImageInput { s.MaxFaces = &v return s } // SetQualityFilter sets the QualityFilter field's value. func (s SearchFacesByImageInput) SetQualityFilter(v string) SearchFacesByImageInput { s.QualityFilter = &v return s } type SearchFacesByImageOutput struct { _ struct{} `type:"structure"` // An array of faces that match the input face, along with the confidence in // the match. FaceMatches []FaceMatch `type:"list"` // Version number of the face detection model associated with the input collection // (CollectionId). FaceModelVersion string `type:"string"` // The bounding box around the face in the input image that Amazon Rekognition // used for the search. SearchedFaceBoundingBox BoundingBox `type:"structure"` // The level of confidence that the searchedFaceBoundingBox, contains a face. SearchedFaceConfidence float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesByImageOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesByImageOutput) GoString() string { return s.String() } // SetFaceMatches sets the FaceMatches field's value. func (s SearchFacesByImageOutput) SetFaceMatches(v []FaceMatch) SearchFacesByImageOutput { s.FaceMatches = v return s } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s SearchFacesByImageOutput) SetFaceModelVersion(v string) SearchFacesByImageOutput { s.FaceModelVersion = &v return s } // SetSearchedFaceBoundingBox sets the SearchedFaceBoundingBox field's value. func (s SearchFacesByImageOutput) SetSearchedFaceBoundingBox(v BoundingBox) SearchFacesByImageOutput { s.SearchedFaceBoundingBox = v return s } // SetSearchedFaceConfidence sets the SearchedFaceConfidence field's value. func (s SearchFacesByImageOutput) SetSearchedFaceConfidence(v float64) SearchFacesByImageOutput { s.SearchedFaceConfidence = &v return s } type SearchFacesInput struct { _ struct{} `type:"structure"` // ID of the collection the face belongs to. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // ID of a face to find matches for in the collection. // // FaceId is a required field FaceId string `type:"string" required:"true"` // Optional value specifying the minimum confidence in the face match to return. // For example, don't return any matches where confidence in matches is less // than 70%. The default value is 80%. FaceMatchThreshold float64 `type:"float"` // Maximum number of faces to return. The operation returns the maximum number // of faces with the highest confidence in the match. MaxFaces int64 `min:"1" type:"integer"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s SearchFacesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "SearchFacesInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.FaceId == nil { invalidParams.Add(request.NewErrParamRequired("FaceId")) } if s.MaxFaces != nil && s.MaxFaces < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxFaces", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s SearchFacesInput) SetCollectionId(v string) SearchFacesInput { s.CollectionId = &v return s } // SetFaceId sets the FaceId field's value. func (s SearchFacesInput) SetFaceId(v string) SearchFacesInput { s.FaceId = &v return s } // SetFaceMatchThreshold sets the FaceMatchThreshold field's value. func (s SearchFacesInput) SetFaceMatchThreshold(v float64) SearchFacesInput { s.FaceMatchThreshold = &v return s } // SetMaxFaces sets the MaxFaces field's value. func (s SearchFacesInput) SetMaxFaces(v int64) SearchFacesInput { s.MaxFaces = &v return s } type SearchFacesOutput struct { _ struct{} `type:"structure"` // An array of faces that matched the input face, along with the confidence // in the match. FaceMatches []FaceMatch `type:"list"` // Version number of the face detection model associated with the input collection // (CollectionId). FaceModelVersion string `type:"string"` // ID of the face that was searched for matches in a collection. SearchedFaceId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchFacesOutput) GoString() string { return s.String() } // SetFaceMatches sets the FaceMatches field's value. func (s SearchFacesOutput) SetFaceMatches(v []FaceMatch) SearchFacesOutput { s.FaceMatches = v return s } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s SearchFacesOutput) SetFaceModelVersion(v string) SearchFacesOutput { s.FaceModelVersion = &v return s } // SetSearchedFaceId sets the SearchedFaceId field's value. func (s SearchFacesOutput) SetSearchedFaceId(v string) SearchFacesOutput { s.SearchedFaceId = &v return s } type SearchUsersByImageInput struct { _ struct{} `type:"structure"` // The ID of an existing collection containing the UserID. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // Provides the input image either as bytes or an S3 object. // // You pass image bytes to an Amazon Rekognition API operation by using the // Bytes property. For example, you would use the Bytes property to pass an // image loaded from a local file system. Image bytes passed by using the Bytes // property must be base64-encoded. Your code may not need to encode image bytes // if you are using an AWS SDK to call Amazon Rekognition API operations. // // For more information, see Analyzing an Image Loaded from a Local File System // in the Amazon Rekognition Developer Guide. // // You pass images stored in an S3 bucket to an Amazon Rekognition API operation // by using the S3Object property. Images stored in an S3 bucket do not need // to be base64-encoded. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // If you use the AWS CLI to call Amazon Rekognition operations, passing image // bytes using the Bytes property is not supported. You must first upload the // image to an Amazon S3 bucket and then call the operation using the S3Object // property. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. // // Image is a required field Image Image `type:"structure" required:"true"` // Maximum number of UserIDs to return. MaxUsers int64 `min:"1" type:"integer"` // A filter that specifies a quality bar for how much filtering is done to identify // faces. Filtered faces aren't searched for in the collection. The default // value is NONE. QualityFilter string `type:"string" enum:"QualityFilter"` // Specifies the minimum confidence in the UserID match to return. Default value // is 80. UserMatchThreshold float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersByImageInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersByImageInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s SearchUsersByImageInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "SearchUsersByImageInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.Image == nil { invalidParams.Add(request.NewErrParamRequired("Image")) } if s.MaxUsers != nil && s.MaxUsers < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxUsers", 1)) } if s.Image != nil { if err := s.Image.Validate(); err != nil { invalidParams.AddNested("Image", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s SearchUsersByImageInput) SetCollectionId(v string) SearchUsersByImageInput { s.CollectionId = &v return s } // SetImage sets the Image field's value. func (s SearchUsersByImageInput) SetImage(v Image) SearchUsersByImageInput { s.Image = v return s } // SetMaxUsers sets the MaxUsers field's value. func (s SearchUsersByImageInput) SetMaxUsers(v int64) SearchUsersByImageInput { s.MaxUsers = &v return s } // SetQualityFilter sets the QualityFilter field's value. func (s SearchUsersByImageInput) SetQualityFilter(v string) SearchUsersByImageInput { s.QualityFilter = &v return s } // SetUserMatchThreshold sets the UserMatchThreshold field's value. func (s SearchUsersByImageInput) SetUserMatchThreshold(v float64) SearchUsersByImageInput { s.UserMatchThreshold = &v return s } type SearchUsersByImageOutput struct { _ struct{} `type:"structure"` // Version number of the face detection model associated with the input collection // CollectionId. FaceModelVersion string `type:"string"` // A list of FaceDetail objects containing the BoundingBox for the largest face // in image, as well as the confidence in the bounding box, that was searched // for matches. If no valid face is detected in the image the response will // contain no SearchedFace object. SearchedFace SearchedFaceDetails `type:"structure"` // List of UnsearchedFace objects. Contains the face details infered from the // specified image but not used for search. Contains reasons that describe why // a face wasn't used for Search. UnsearchedFaces []UnsearchedFace `type:"list"` // An array of UserID objects that matched the input face, along with the confidence // in the match. The returned structure will be empty if there are no matches. // Returned if the SearchUsersByImageResponse action is successful. UserMatches []UserMatch `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersByImageOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersByImageOutput) GoString() string { return s.String() } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s SearchUsersByImageOutput) SetFaceModelVersion(v string) SearchUsersByImageOutput { s.FaceModelVersion = &v return s } // SetSearchedFace sets the SearchedFace field's value. func (s SearchUsersByImageOutput) SetSearchedFace(v SearchedFaceDetails) SearchUsersByImageOutput { s.SearchedFace = v return s } // SetUnsearchedFaces sets the UnsearchedFaces field's value. func (s SearchUsersByImageOutput) SetUnsearchedFaces(v []UnsearchedFace) SearchUsersByImageOutput { s.UnsearchedFaces = v return s } // SetUserMatches sets the UserMatches field's value. func (s SearchUsersByImageOutput) SetUserMatches(v []UserMatch) SearchUsersByImageOutput { s.UserMatches = v return s } type SearchUsersInput struct { _ struct{} `type:"structure"` // The ID of an existing collection containing the UserID, used with a UserId // or FaceId. If a FaceId is provided, UserId isn’t required to be present // in the Collection. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // ID for the existing face. FaceId string `type:"string"` // Maximum number of identities to return. MaxUsers int64 `min:"1" type:"integer"` // ID for the existing User. UserId string `min:"1" type:"string"` // Optional value that specifies the minimum confidence in the matched UserID // to return. Default value of 80. UserMatchThreshold float64 `type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s SearchUsersInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "SearchUsersInput"} if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.MaxUsers != nil && s.MaxUsers < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxUsers", 1)) } if s.UserId != nil && len(s.UserId) < 1 { invalidParams.Add(request.NewErrParamMinLen("UserId", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetCollectionId sets the CollectionId field's value. func (s SearchUsersInput) SetCollectionId(v string) SearchUsersInput { s.CollectionId = &v return s } // SetFaceId sets the FaceId field's value. func (s SearchUsersInput) SetFaceId(v string) SearchUsersInput { s.FaceId = &v return s } // SetMaxUsers sets the MaxUsers field's value. func (s SearchUsersInput) SetMaxUsers(v int64) SearchUsersInput { s.MaxUsers = &v return s } // SetUserId sets the UserId field's value. func (s SearchUsersInput) SetUserId(v string) SearchUsersInput { s.UserId = &v return s } // SetUserMatchThreshold sets the UserMatchThreshold field's value. func (s SearchUsersInput) SetUserMatchThreshold(v float64) SearchUsersInput { s.UserMatchThreshold = &v return s } type SearchUsersOutput struct { _ struct{} `type:"structure"` // Version number of the face detection model associated with the input CollectionId. FaceModelVersion string `type:"string"` // Contains the ID of a face that was used to search for matches in a collection. SearchedFace SearchedFace `type:"structure"` // Contains the ID of the UserID that was used to search for matches in a collection. SearchedUser SearchedUser `type:"structure"` // An array of UserMatch objects that matched the input face along with the // confidence in the match. Array will be empty if there are no matches. UserMatches []UserMatch `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchUsersOutput) GoString() string { return s.String() } // SetFaceModelVersion sets the FaceModelVersion field's value. func (s SearchUsersOutput) SetFaceModelVersion(v string) SearchUsersOutput { s.FaceModelVersion = &v return s } // SetSearchedFace sets the SearchedFace field's value. func (s SearchUsersOutput) SetSearchedFace(v SearchedFace) SearchUsersOutput { s.SearchedFace = v return s } // SetSearchedUser sets the SearchedUser field's value. func (s SearchUsersOutput) SetSearchedUser(v SearchedUser) SearchUsersOutput { s.SearchedUser = v return s } // SetUserMatches sets the UserMatches field's value. func (s SearchUsersOutput) SetUserMatches(v []UserMatch) SearchUsersOutput { s.UserMatches = v return s } // Provides face metadata such as FaceId, BoundingBox, Confidence of the input // face used for search. type SearchedFace struct { _ struct{} `type:"structure"` // Unique identifier assigned to the face. FaceId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedFace) GoString() string { return s.String() } // SetFaceId sets the FaceId field's value. func (s SearchedFace) SetFaceId(v string) SearchedFace { s.FaceId = &v return s } // Contains data regarding the input face used for a search. type SearchedFaceDetails struct { _ struct{} `type:"structure"` // Structure containing attributes of the face that the algorithm detected. // // A FaceDetail object contains either the default facial attributes or all // facial attributes. The default attributes are BoundingBox, Confidence, Landmarks, // Pose, and Quality. // // GetFaceDetection is the only Amazon Rekognition Video stored video operation // that can return a FaceDetail object with all attributes. To specify which // attributes to return, use the FaceAttributes input parameter for StartFaceDetection. // The following Amazon Rekognition Video operations return only the default // attributes. The corresponding Start operations don't have a FaceAttributes // input parameter: // // * GetCelebrityRecognition // // * GetPersonTracking // // * GetFaceSearch // // The Amazon Rekognition Image DetectFaces and IndexFaces operations can return // all facial attributes. To specify which attributes to return, use the Attributes // input parameter for DetectFaces. For IndexFaces, use the DetectAttributes // input parameter. FaceDetail FaceDetail `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedFaceDetails) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedFaceDetails) GoString() string { return s.String() } // SetFaceDetail sets the FaceDetail field's value. func (s SearchedFaceDetails) SetFaceDetail(v FaceDetail) SearchedFaceDetails { s.FaceDetail = v return s } // Contains metadata about a User searched for within a collection. type SearchedUser struct { _ struct{} `type:"structure"` // A provided ID for the UserID. Unique within the collection. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedUser) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SearchedUser) GoString() string { return s.String() } // SetUserId sets the UserId field's value. func (s SearchedUser) SetUserId(v string) SearchedUser { s.UserId = &v return s } // A technical cue or shot detection segment detected in a video. An array of // SegmentDetection objects containing all segments detected in a stored video // is returned by GetSegmentDetection. type SegmentDetection struct { _ struct{} `type:"structure"` // The duration of a video segment, expressed in frames. DurationFrames int64 `type:"long"` // The duration of the detected segment in milliseconds. DurationMillis int64 `type:"long"` // The duration of the timecode for the detected segment in SMPTE format. DurationSMPTE string `type:"string"` // The frame number at the end of a video segment, using a frame index that // starts with 0. EndFrameNumber int64 `type:"long"` // The frame-accurate SMPTE timecode, from the start of a video, for the end // of a detected segment. EndTimecode is in HH:MM:SS:fr format (and ;fr for // drop frame-rates). EndTimecodeSMPTE string `type:"string"` // The end time of the detected segment, in milliseconds, from the start of // the video. This value is rounded down. EndTimestampMillis int64 `type:"long"` // If the segment is a shot detection, contains information about the shot detection. ShotSegment ShotSegment `type:"structure"` // The frame number of the start of a video segment, using a frame index that // starts with 0. StartFrameNumber int64 `type:"long"` // The frame-accurate SMPTE timecode, from the start of a video, for the start // of a detected segment. StartTimecode is in HH:MM:SS:fr format (and ;fr for // drop frame-rates). StartTimecodeSMPTE string `type:"string"` // The start time of the detected segment in milliseconds from the start of // the video. This value is rounded down. For example, if the actual timestamp // is 100.6667 milliseconds, Amazon Rekognition Video returns a value of 100 // millis. StartTimestampMillis int64 `type:"long"` // If the segment is a technical cue, contains information about the technical // cue. TechnicalCueSegment TechnicalCueSegment `type:"structure"` // The type of the segment. Valid values are TECHNICAL_CUE and SHOT. Type string `type:"string" enum:"SegmentType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SegmentDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SegmentDetection) GoString() string { return s.String() } // SetDurationFrames sets the DurationFrames field's value. func (s SegmentDetection) SetDurationFrames(v int64) SegmentDetection { s.DurationFrames = &v return s } // SetDurationMillis sets the DurationMillis field's value. func (s SegmentDetection) SetDurationMillis(v int64) SegmentDetection { s.DurationMillis = &v return s } // SetDurationSMPTE sets the DurationSMPTE field's value. func (s SegmentDetection) SetDurationSMPTE(v string) SegmentDetection { s.DurationSMPTE = &v return s } // SetEndFrameNumber sets the EndFrameNumber field's value. func (s SegmentDetection) SetEndFrameNumber(v int64) SegmentDetection { s.EndFrameNumber = &v return s } // SetEndTimecodeSMPTE sets the EndTimecodeSMPTE field's value. func (s SegmentDetection) SetEndTimecodeSMPTE(v string) SegmentDetection { s.EndTimecodeSMPTE = &v return s } // SetEndTimestampMillis sets the EndTimestampMillis field's value. func (s SegmentDetection) SetEndTimestampMillis(v int64) SegmentDetection { s.EndTimestampMillis = &v return s } // SetShotSegment sets the ShotSegment field's value. func (s SegmentDetection) SetShotSegment(v ShotSegment) SegmentDetection { s.ShotSegment = v return s } // SetStartFrameNumber sets the StartFrameNumber field's value. func (s SegmentDetection) SetStartFrameNumber(v int64) SegmentDetection { s.StartFrameNumber = &v return s } // SetStartTimecodeSMPTE sets the StartTimecodeSMPTE field's value. func (s SegmentDetection) SetStartTimecodeSMPTE(v string) SegmentDetection { s.StartTimecodeSMPTE = &v return s } // SetStartTimestampMillis sets the StartTimestampMillis field's value. func (s SegmentDetection) SetStartTimestampMillis(v int64) SegmentDetection { s.StartTimestampMillis = &v return s } // SetTechnicalCueSegment sets the TechnicalCueSegment field's value. func (s SegmentDetection) SetTechnicalCueSegment(v TechnicalCueSegment) SegmentDetection { s.TechnicalCueSegment = v return s } // SetType sets the Type field's value. func (s SegmentDetection) SetType(v string) SegmentDetection { s.Type = &v return s } // Information about the type of a segment requested in a call to StartSegmentDetection. // An array of SegmentTypeInfo objects is returned by the response from GetSegmentDetection. type SegmentTypeInfo struct { _ struct{} `type:"structure"` // The version of the model used to detect segments. ModelVersion string `type:"string"` // The type of a segment (technical cue or shot detection). Type string `type:"string" enum:"SegmentType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SegmentTypeInfo) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SegmentTypeInfo) GoString() string { return s.String() } // SetModelVersion sets the ModelVersion field's value. func (s SegmentTypeInfo) SetModelVersion(v string) SegmentTypeInfo { s.ModelVersion = &v return s } // SetType sets the Type field's value. func (s SegmentTypeInfo) SetType(v string) SegmentTypeInfo { s.Type = &v return s } // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. type ServiceQuotaExceededException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ServiceQuotaExceededException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ServiceQuotaExceededException) GoString() string { return s.String() } func newErrorServiceQuotaExceededException(v protocol.ResponseMetadata) error { return &ServiceQuotaExceededException{ RespMetadata: v, } } // Code returns the exception type name. func (s ServiceQuotaExceededException) Code() string { return "ServiceQuotaExceededException" } // Message returns the exception's message. func (s ServiceQuotaExceededException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ServiceQuotaExceededException) OrigErr() error { return nil } func (s ServiceQuotaExceededException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ServiceQuotaExceededException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ServiceQuotaExceededException) RequestID() string { return s.RespMetadata.RequestID } // Occurs when a given sessionId is not found. type SessionNotFoundException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SessionNotFoundException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s SessionNotFoundException) GoString() string { return s.String() } func newErrorSessionNotFoundException(v protocol.ResponseMetadata) error { return &SessionNotFoundException{ RespMetadata: v, } } // Code returns the exception type name. func (s SessionNotFoundException) Code() string { return "SessionNotFoundException" } // Message returns the exception's message. func (s SessionNotFoundException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s SessionNotFoundException) OrigErr() error { return nil } func (s SessionNotFoundException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s SessionNotFoundException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s SessionNotFoundException) RequestID() string { return s.RespMetadata.RequestID } // Information about a shot detection segment detected in a video. For more // information, see SegmentDetection. type ShotSegment struct { _ struct{} `type:"structure"` // The confidence that Amazon Rekognition Video has in the accuracy of the detected // segment. Confidence float64 `min:"50" type:"float"` // An Identifier for a shot detection segment detected in a video. Index int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ShotSegment) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ShotSegment) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s ShotSegment) SetConfidence(v float64) ShotSegment { s.Confidence = &v return s } // SetIndex sets the Index field's value. func (s ShotSegment) SetIndex(v int64) ShotSegment { s.Index = &v return s } // Indicates whether or not the face is smiling, and the confidence level in // the determination. type Smile struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the face is smiling or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Smile) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Smile) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Smile) SetConfidence(v float64) Smile { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Smile) SetValue(v bool) Smile { s.Value = &v return s } type StartCelebrityRecognitionInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartCelebrityRecognition requests, the same JobId is // returned. Use ClientRequestToken to prevent the same job from being accidently // started more than once. ClientRequestToken string `min:"1" type:"string"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish // the completion status of the celebrity recognition analysis to. The Amazon // SNS topic must have a topic name that begins with AmazonRekognition if you // are using the AmazonRekognitionServiceRole permissions policy. NotificationChannel NotificationChannel `type:"structure"` // The video in which you want to recognize celebrities. The video must be stored // in an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartCelebrityRecognitionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartCelebrityRecognitionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartCelebrityRecognitionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartCelebrityRecognitionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartCelebrityRecognitionInput) SetClientRequestToken(v string) StartCelebrityRecognitionInput { s.ClientRequestToken = &v return s } // SetJobTag sets the JobTag field's value. func (s StartCelebrityRecognitionInput) SetJobTag(v string) StartCelebrityRecognitionInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartCelebrityRecognitionInput) SetNotificationChannel(v NotificationChannel) StartCelebrityRecognitionInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartCelebrityRecognitionInput) SetVideo(v Video) StartCelebrityRecognitionInput { s.Video = v return s } type StartCelebrityRecognitionOutput struct { _ struct{} `type:"structure"` // The identifier for the celebrity recognition analysis job. Use JobId to identify // the job in a subsequent call to GetCelebrityRecognition. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartCelebrityRecognitionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartCelebrityRecognitionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartCelebrityRecognitionOutput) SetJobId(v string) StartCelebrityRecognitionOutput { s.JobId = &v return s } type StartContentModerationInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartContentModeration requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // Specifies the minimum confidence that Amazon Rekognition must have in order // to return a moderated content label. Confidence represents how certain Amazon // Rekognition is that the moderated content is correctly identified. 0 is the // lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't // return any moderated content labels with a confidence level lower than this // specified value. If you don't specify MinConfidence, GetContentModeration // returns labels with confidence values greater than or equal to 50 percent. MinConfidence float64 `type:"float"` // The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish // the completion status of the content analysis to. The Amazon SNS topic must // have a topic name that begins with AmazonRekognition if you are using the // AmazonRekognitionServiceRole permissions policy to access the topic. NotificationChannel NotificationChannel `type:"structure"` // The video in which you want to detect inappropriate, unwanted, or offensive // content. The video must be stored in an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartContentModerationInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartContentModerationInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartContentModerationInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartContentModerationInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartContentModerationInput) SetClientRequestToken(v string) StartContentModerationInput { s.ClientRequestToken = &v return s } // SetJobTag sets the JobTag field's value. func (s StartContentModerationInput) SetJobTag(v string) StartContentModerationInput { s.JobTag = &v return s } // SetMinConfidence sets the MinConfidence field's value. func (s StartContentModerationInput) SetMinConfidence(v float64) StartContentModerationInput { s.MinConfidence = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartContentModerationInput) SetNotificationChannel(v NotificationChannel) StartContentModerationInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartContentModerationInput) SetVideo(v Video) StartContentModerationInput { s.Video = v return s } type StartContentModerationOutput struct { _ struct{} `type:"structure"` // The identifier for the content analysis job. Use JobId to identify the job // in a subsequent call to GetContentModeration. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartContentModerationOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartContentModerationOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartContentModerationOutput) SetJobId(v string) StartContentModerationOutput { s.JobId = &v return s } type StartFaceDetectionInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartFaceDetection requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // The face attributes you want returned. // // DEFAULT - The following subset of facial attributes are returned: BoundingBox, // Confidence, Pose, Quality and Landmarks. // // ALL - All facial attributes are returned. FaceAttributes string `type:"string" enum:"FaceAttributes"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video // to publish the completion status of the face detection operation. The Amazon // SNS topic must have a topic name that begins with AmazonRekognition if you // are using the AmazonRekognitionServiceRole permissions policy. NotificationChannel NotificationChannel `type:"structure"` // The video in which you want to detect faces. The video must be stored in // an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartFaceDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartFaceDetectionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartFaceDetectionInput) SetClientRequestToken(v string) StartFaceDetectionInput { s.ClientRequestToken = &v return s } // SetFaceAttributes sets the FaceAttributes field's value. func (s StartFaceDetectionInput) SetFaceAttributes(v string) StartFaceDetectionInput { s.FaceAttributes = &v return s } // SetJobTag sets the JobTag field's value. func (s StartFaceDetectionInput) SetJobTag(v string) StartFaceDetectionInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartFaceDetectionInput) SetNotificationChannel(v NotificationChannel) StartFaceDetectionInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartFaceDetectionInput) SetVideo(v Video) StartFaceDetectionInput { s.Video = v return s } type StartFaceDetectionOutput struct { _ struct{} `type:"structure"` // The identifier for the face detection job. Use JobId to identify the job // in a subsequent call to GetFaceDetection. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceDetectionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartFaceDetectionOutput) SetJobId(v string) StartFaceDetectionOutput { s.JobId = &v return s } type StartFaceSearchInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartFaceSearch requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // ID of the collection that contains the faces you want to search for. // // CollectionId is a required field CollectionId string `min:"1" type:"string" required:"true"` // The minimum confidence in the person match to return. For example, don't // return any matches where confidence in matches is less than 70%. The default // value is 80%. FaceMatchThreshold float64 `type:"float"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video // to publish the completion status of the search. The Amazon SNS topic must // have a topic name that begins with AmazonRekognition if you are using the // AmazonRekognitionServiceRole permissions policy to access the topic. NotificationChannel NotificationChannel `type:"structure"` // The video you want to search. The video must be stored in an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceSearchInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceSearchInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartFaceSearchInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartFaceSearchInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.CollectionId == nil { invalidParams.Add(request.NewErrParamRequired("CollectionId")) } if s.CollectionId != nil && len(s.CollectionId) < 1 { invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartFaceSearchInput) SetClientRequestToken(v string) StartFaceSearchInput { s.ClientRequestToken = &v return s } // SetCollectionId sets the CollectionId field's value. func (s StartFaceSearchInput) SetCollectionId(v string) StartFaceSearchInput { s.CollectionId = &v return s } // SetFaceMatchThreshold sets the FaceMatchThreshold field's value. func (s StartFaceSearchInput) SetFaceMatchThreshold(v float64) StartFaceSearchInput { s.FaceMatchThreshold = &v return s } // SetJobTag sets the JobTag field's value. func (s StartFaceSearchInput) SetJobTag(v string) StartFaceSearchInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartFaceSearchInput) SetNotificationChannel(v NotificationChannel) StartFaceSearchInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartFaceSearchInput) SetVideo(v Video) StartFaceSearchInput { s.Video = v return s } type StartFaceSearchOutput struct { _ struct{} `type:"structure"` // The identifier for the search job. Use JobId to identify the job in a subsequent // call to GetFaceSearch. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceSearchOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartFaceSearchOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartFaceSearchOutput) SetJobId(v string) StartFaceSearchOutput { s.JobId = &v return s } type StartLabelDetectionInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartLabelDetection requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // The features to return after video analysis. You can specify that GENERAL_LABELS // are returned. Features []string `type:"list" enum:"LabelDetectionFeatureName"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // Specifies the minimum confidence that Amazon Rekognition Video must have // in order to return a detected label. Confidence represents how certain Amazon // Rekognition is that a label is correctly identified.0 is the lowest confidence. // 100 is the highest confidence. Amazon Rekognition Video doesn't return any // labels with a confidence level lower than this specified value. // // If you don't specify MinConfidence, the operation returns labels and bounding // boxes (if detected) with confidence values greater than or equal to 50 percent. MinConfidence float64 `type:"float"` // The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the // completion status of the label detection operation to. The Amazon SNS topic // must have a topic name that begins with AmazonRekognition if you are using // the AmazonRekognitionServiceRole permissions policy. NotificationChannel NotificationChannel `type:"structure"` // The settings for a StartLabelDetection request.Contains the specified parameters // for the label detection request of an asynchronous label analysis operation. // Settings can include filters for GENERAL_LABELS. Settings LabelDetectionSettings `type:"structure"` // The video in which you want to detect labels. The video must be stored in // an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartLabelDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartLabelDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartLabelDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartLabelDetectionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartLabelDetectionInput) SetClientRequestToken(v string) StartLabelDetectionInput { s.ClientRequestToken = &v return s } // SetFeatures sets the Features field's value. func (s StartLabelDetectionInput) SetFeatures(v []string) StartLabelDetectionInput { s.Features = v return s } // SetJobTag sets the JobTag field's value. func (s StartLabelDetectionInput) SetJobTag(v string) StartLabelDetectionInput { s.JobTag = &v return s } // SetMinConfidence sets the MinConfidence field's value. func (s StartLabelDetectionInput) SetMinConfidence(v float64) StartLabelDetectionInput { s.MinConfidence = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartLabelDetectionInput) SetNotificationChannel(v NotificationChannel) StartLabelDetectionInput { s.NotificationChannel = v return s } // SetSettings sets the Settings field's value. func (s StartLabelDetectionInput) SetSettings(v LabelDetectionSettings) StartLabelDetectionInput { s.Settings = v return s } // SetVideo sets the Video field's value. func (s StartLabelDetectionInput) SetVideo(v Video) StartLabelDetectionInput { s.Video = v return s } type StartLabelDetectionOutput struct { _ struct{} `type:"structure"` // The identifier for the label detection job. Use JobId to identify the job // in a subsequent call to GetLabelDetection. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartLabelDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartLabelDetectionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartLabelDetectionOutput) SetJobId(v string) StartLabelDetectionOutput { s.JobId = &v return s } type StartMediaAnalysisJobInput struct { _ struct{} `type:"structure"` // Idempotency token used to prevent the accidental creation of duplicate versions. // If you use the same token with multiple StartMediaAnalysisJobRequest requests, // the same response is returned. Use ClientRequestToken to prevent the same // request from being processed more than once. ClientRequestToken string `min:"1" type:"string" idempotencyToken:"true"` // Input data to be analyzed by the job. // // Input is a required field Input MediaAnalysisInput_ `type:"structure" required:"true"` // The name of the job. Does not have to be unique. JobName string `min:"1" type:"string"` // The identifier of customer managed AWS KMS key (name or ARN). The key is // used to encrypt images copied into the service. The key is also used to encrypt // results and manifest files written to the output Amazon S3 bucket. KmsKeyId string `min:"1" type:"string"` // Configuration options for the media analysis job to be created. // // OperationsConfig is a required field OperationsConfig MediaAnalysisOperationsConfig `type:"structure" required:"true"` // The Amazon S3 bucket location to store the results. // // OutputConfig is a required field OutputConfig MediaAnalysisOutputConfig `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartMediaAnalysisJobInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartMediaAnalysisJobInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartMediaAnalysisJobInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartMediaAnalysisJobInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.Input == nil { invalidParams.Add(request.NewErrParamRequired("Input")) } if s.JobName != nil && len(s.JobName) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobName", 1)) } if s.KmsKeyId != nil && len(s.KmsKeyId) < 1 { invalidParams.Add(request.NewErrParamMinLen("KmsKeyId", 1)) } if s.OperationsConfig == nil { invalidParams.Add(request.NewErrParamRequired("OperationsConfig")) } if s.OutputConfig == nil { invalidParams.Add(request.NewErrParamRequired("OutputConfig")) } if s.Input != nil { if err := s.Input.Validate(); err != nil { invalidParams.AddNested("Input", err.(request.ErrInvalidParams)) } } if s.OperationsConfig != nil { if err := s.OperationsConfig.Validate(); err != nil { invalidParams.AddNested("OperationsConfig", err.(request.ErrInvalidParams)) } } if s.OutputConfig != nil { if err := s.OutputConfig.Validate(); err != nil { invalidParams.AddNested("OutputConfig", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartMediaAnalysisJobInput) SetClientRequestToken(v string) StartMediaAnalysisJobInput { s.ClientRequestToken = &v return s } // SetInput sets the Input field's value. func (s StartMediaAnalysisJobInput) SetInput(v MediaAnalysisInput_) StartMediaAnalysisJobInput { s.Input = v return s } // SetJobName sets the JobName field's value. func (s StartMediaAnalysisJobInput) SetJobName(v string) StartMediaAnalysisJobInput { s.JobName = &v return s } // SetKmsKeyId sets the KmsKeyId field's value. func (s StartMediaAnalysisJobInput) SetKmsKeyId(v string) StartMediaAnalysisJobInput { s.KmsKeyId = &v return s } // SetOperationsConfig sets the OperationsConfig field's value. func (s StartMediaAnalysisJobInput) SetOperationsConfig(v MediaAnalysisOperationsConfig) StartMediaAnalysisJobInput { s.OperationsConfig = v return s } // SetOutputConfig sets the OutputConfig field's value. func (s StartMediaAnalysisJobInput) SetOutputConfig(v MediaAnalysisOutputConfig) StartMediaAnalysisJobInput { s.OutputConfig = v return s } type StartMediaAnalysisJobOutput struct { _ struct{} `type:"structure"` // Identifier for the created job. // // JobId is a required field JobId string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartMediaAnalysisJobOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartMediaAnalysisJobOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartMediaAnalysisJobOutput) SetJobId(v string) StartMediaAnalysisJobOutput { s.JobId = &v return s } type StartPersonTrackingInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartPersonTracking requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the // completion status of the people detection operation to. The Amazon SNS topic // must have a topic name that begins with AmazonRekognition if you are using // the AmazonRekognitionServiceRole permissions policy. NotificationChannel NotificationChannel `type:"structure"` // The video in which you want to detect people. The video must be stored in // an Amazon S3 bucket. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartPersonTrackingInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartPersonTrackingInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartPersonTrackingInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartPersonTrackingInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartPersonTrackingInput) SetClientRequestToken(v string) StartPersonTrackingInput { s.ClientRequestToken = &v return s } // SetJobTag sets the JobTag field's value. func (s StartPersonTrackingInput) SetJobTag(v string) StartPersonTrackingInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartPersonTrackingInput) SetNotificationChannel(v NotificationChannel) StartPersonTrackingInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartPersonTrackingInput) SetVideo(v Video) StartPersonTrackingInput { s.Video = v return s } type StartPersonTrackingOutput struct { _ struct{} `type:"structure"` // The identifier for the person detection job. Use JobId to identify the job // in a subsequent call to GetPersonTracking. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartPersonTrackingOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartPersonTrackingOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartPersonTrackingOutput) SetJobId(v string) StartPersonTrackingOutput { s.JobId = &v return s } type StartProjectVersionInput struct { _ struct{} `type:"structure"` // The maximum number of inference units to use for auto-scaling the model. // If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale // the model. MaxInferenceUnits int64 `min:"1" type:"integer"` // The minimum number of inference units to use. A single inference unit represents // 1 hour of processing. // // Use a higher number to increase the TPS throughput of your model. You are // charged for the number of inference units that you use. // // MinInferenceUnits is a required field MinInferenceUnits int64 `min:"1" type:"integer" required:"true"` // The Amazon Resource Name(ARN) of the model version that you want to start. // // ProjectVersionArn is a required field ProjectVersionArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartProjectVersionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartProjectVersionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartProjectVersionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartProjectVersionInput"} if s.MaxInferenceUnits != nil && s.MaxInferenceUnits < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxInferenceUnits", 1)) } if s.MinInferenceUnits == nil { invalidParams.Add(request.NewErrParamRequired("MinInferenceUnits")) } if s.MinInferenceUnits != nil && s.MinInferenceUnits < 1 { invalidParams.Add(request.NewErrParamMinValue("MinInferenceUnits", 1)) } if s.ProjectVersionArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectVersionArn")) } if s.ProjectVersionArn != nil && len(s.ProjectVersionArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersionArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxInferenceUnits sets the MaxInferenceUnits field's value. func (s StartProjectVersionInput) SetMaxInferenceUnits(v int64) StartProjectVersionInput { s.MaxInferenceUnits = &v return s } // SetMinInferenceUnits sets the MinInferenceUnits field's value. func (s StartProjectVersionInput) SetMinInferenceUnits(v int64) StartProjectVersionInput { s.MinInferenceUnits = &v return s } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s StartProjectVersionInput) SetProjectVersionArn(v string) StartProjectVersionInput { s.ProjectVersionArn = &v return s } type StartProjectVersionOutput struct { _ struct{} `type:"structure"` // The current running status of the model. Status string `type:"string" enum:"ProjectVersionStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartProjectVersionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartProjectVersionOutput) GoString() string { return s.String() } // SetStatus sets the Status field's value. func (s StartProjectVersionOutput) SetStatus(v string) StartProjectVersionOutput { s.Status = &v return s } // Filters applied to the technical cue or shot detection segments. For more // information, see StartSegmentDetection. type StartSegmentDetectionFilters struct { _ struct{} `type:"structure"` // Filters that are specific to shot detections. ShotFilter StartShotDetectionFilter `type:"structure"` // Filters that are specific to technical cues. TechnicalCueFilter StartTechnicalCueDetectionFilter `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionFilters) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionFilters) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartSegmentDetectionFilters) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartSegmentDetectionFilters"} if s.ShotFilter != nil { if err := s.ShotFilter.Validate(); err != nil { invalidParams.AddNested("ShotFilter", err.(request.ErrInvalidParams)) } } if s.TechnicalCueFilter != nil { if err := s.TechnicalCueFilter.Validate(); err != nil { invalidParams.AddNested("TechnicalCueFilter", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetShotFilter sets the ShotFilter field's value. func (s StartSegmentDetectionFilters) SetShotFilter(v StartShotDetectionFilter) StartSegmentDetectionFilters { s.ShotFilter = v return s } // SetTechnicalCueFilter sets the TechnicalCueFilter field's value. func (s StartSegmentDetectionFilters) SetTechnicalCueFilter(v StartTechnicalCueDetectionFilter) StartSegmentDetectionFilters { s.TechnicalCueFilter = v return s } type StartSegmentDetectionInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartSegmentDetection requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidently started // more than once. ClientRequestToken string `min:"1" type:"string"` // Filters for technical cue or shot detection. Filters StartSegmentDetectionFilters `type:"structure"` // An identifier you specify that's returned in the completion notification // that's published to your Amazon Simple Notification Service topic. For example, // you can use JobTag to group related jobs and identify them in the completion // notification. JobTag string `min:"1" type:"string"` // The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video // to publish the completion status of the segment detection operation. Note // that the Amazon SNS topic must have a topic name that begins with AmazonRekognition // if you are using the AmazonRekognitionServiceRole permissions policy to access // the topic. NotificationChannel NotificationChannel `type:"structure"` // An array of segment types to detect in the video. Valid values are TECHNICAL_CUE // and SHOT. // // SegmentTypes is a required field SegmentTypes []string `min:"1" type:"list" required:"true" enum:"SegmentType"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartSegmentDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartSegmentDetectionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.SegmentTypes == nil { invalidParams.Add(request.NewErrParamRequired("SegmentTypes")) } if s.SegmentTypes != nil && len(s.SegmentTypes) < 1 { invalidParams.Add(request.NewErrParamMinLen("SegmentTypes", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.Filters != nil { if err := s.Filters.Validate(); err != nil { invalidParams.AddNested("Filters", err.(request.ErrInvalidParams)) } } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartSegmentDetectionInput) SetClientRequestToken(v string) StartSegmentDetectionInput { s.ClientRequestToken = &v return s } // SetFilters sets the Filters field's value. func (s StartSegmentDetectionInput) SetFilters(v StartSegmentDetectionFilters) StartSegmentDetectionInput { s.Filters = v return s } // SetJobTag sets the JobTag field's value. func (s StartSegmentDetectionInput) SetJobTag(v string) StartSegmentDetectionInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartSegmentDetectionInput) SetNotificationChannel(v NotificationChannel) StartSegmentDetectionInput { s.NotificationChannel = v return s } // SetSegmentTypes sets the SegmentTypes field's value. func (s StartSegmentDetectionInput) SetSegmentTypes(v []string) StartSegmentDetectionInput { s.SegmentTypes = v return s } // SetVideo sets the Video field's value. func (s StartSegmentDetectionInput) SetVideo(v Video) StartSegmentDetectionInput { s.Video = v return s } type StartSegmentDetectionOutput struct { _ struct{} `type:"structure"` // Unique identifier for the segment detection job. The JobId is returned from // StartSegmentDetection. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartSegmentDetectionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartSegmentDetectionOutput) SetJobId(v string) StartSegmentDetectionOutput { s.JobId = &v return s } // Filters for the shot detection segments returned by GetSegmentDetection. // For more information, see StartSegmentDetectionFilters. type StartShotDetectionFilter struct { _ struct{} `type:"structure"` // Specifies the minimum confidence that Amazon Rekognition Video must have // in order to return a detected segment. Confidence represents how certain // Amazon Rekognition is that a segment is correctly identified. 0 is the lowest // confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't // return any segments with a confidence level lower than this specified value. // // If you don't specify MinSegmentConfidence, the GetSegmentDetection returns // segments with confidence values greater than or equal to 50 percent. MinSegmentConfidence float64 `min:"50" type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartShotDetectionFilter) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartShotDetectionFilter) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartShotDetectionFilter) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartShotDetectionFilter"} if s.MinSegmentConfidence != nil && s.MinSegmentConfidence < 50 { invalidParams.Add(request.NewErrParamMinValue("MinSegmentConfidence", 50)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMinSegmentConfidence sets the MinSegmentConfidence field's value. func (s StartShotDetectionFilter) SetMinSegmentConfidence(v float64) StartShotDetectionFilter { s.MinSegmentConfidence = &v return s } type StartStreamProcessorInput struct { _ struct{} `type:"structure"` // The name of the stream processor to start processing. // // Name is a required field Name string `min:"1" type:"string" required:"true"` // Specifies the starting point in the Kinesis stream to start processing. You // can use the producer timestamp or the fragment number. If you use the producer // timestamp, you must put the time in milliseconds. For more information about // fragment numbers, see Fragment (https://docs.aws.amazon.com/kinesisvideostreams/latest/dg/API_reader_Fragment.html). // // This is a required parameter for label detection stream processors and should // not be used to start a face search stream processor. StartSelector StreamProcessingStartSelector `type:"structure"` // Specifies when to stop processing the stream. You can specify a maximum amount // of time to process the video. // // This is a required parameter for label detection stream processors and should // not be used to start a face search stream processor. StopSelector StreamProcessingStopSelector `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartStreamProcessorInput"} if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if s.StartSelector != nil { if err := s.StartSelector.Validate(); err != nil { invalidParams.AddNested("StartSelector", err.(request.ErrInvalidParams)) } } if s.StopSelector != nil { if err := s.StopSelector.Validate(); err != nil { invalidParams.AddNested("StopSelector", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetName sets the Name field's value. func (s StartStreamProcessorInput) SetName(v string) StartStreamProcessorInput { s.Name = &v return s } // SetStartSelector sets the StartSelector field's value. func (s StartStreamProcessorInput) SetStartSelector(v StreamProcessingStartSelector) StartStreamProcessorInput { s.StartSelector = v return s } // SetStopSelector sets the StopSelector field's value. func (s StartStreamProcessorInput) SetStopSelector(v StreamProcessingStopSelector) StartStreamProcessorInput { s.StopSelector = v return s } type StartStreamProcessorOutput struct { _ struct{} `type:"structure"` // A unique identifier for the stream processing session. SessionId string `type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartStreamProcessorOutput) GoString() string { return s.String() } // SetSessionId sets the SessionId field's value. func (s StartStreamProcessorOutput) SetSessionId(v string) StartStreamProcessorOutput { s.SessionId = &v return s } // Filters for the technical segments returned by GetSegmentDetection. For more // information, see StartSegmentDetectionFilters. type StartTechnicalCueDetectionFilter struct { _ struct{} `type:"structure"` // A filter that allows you to control the black frame detection by specifying // the black levels and pixel coverage of black pixels in a frame. Videos can // come from multiple sources, formats, and time periods, with different standards // and varying noise levels for black frames that need to be accounted for. BlackFrame BlackFrame `type:"structure"` // Specifies the minimum confidence that Amazon Rekognition Video must have // in order to return a detected segment. Confidence represents how certain // Amazon Rekognition is that a segment is correctly identified. 0 is the lowest // confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't // return any segments with a confidence level lower than this specified value. // // If you don't specify MinSegmentConfidence, GetSegmentDetection returns segments // with confidence values greater than or equal to 50 percent. MinSegmentConfidence float64 `min:"50" type:"float"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTechnicalCueDetectionFilter) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTechnicalCueDetectionFilter) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartTechnicalCueDetectionFilter) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartTechnicalCueDetectionFilter"} if s.MinSegmentConfidence != nil && s.MinSegmentConfidence < 50 { invalidParams.Add(request.NewErrParamMinValue("MinSegmentConfidence", 50)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetBlackFrame sets the BlackFrame field's value. func (s StartTechnicalCueDetectionFilter) SetBlackFrame(v BlackFrame) StartTechnicalCueDetectionFilter { s.BlackFrame = v return s } // SetMinSegmentConfidence sets the MinSegmentConfidence field's value. func (s StartTechnicalCueDetectionFilter) SetMinSegmentConfidence(v float64) StartTechnicalCueDetectionFilter { s.MinSegmentConfidence = &v return s } // Set of optional parameters that let you set the criteria text must meet to // be included in your response. WordFilter looks at a word's height, width // and minimum confidence. RegionOfInterest lets you set a specific region of // the screen to look for text in. type StartTextDetectionFilters struct { _ struct{} `type:"structure"` // Filter focusing on a certain area of the frame. Uses a BoundingBox object // to set the region of the screen. RegionsOfInterest []RegionOfInterest `type:"list"` // Filters focusing on qualities of the text, such as confidence or size. WordFilter DetectionFilter `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionFilters) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionFilters) GoString() string { return s.String() } // SetRegionsOfInterest sets the RegionsOfInterest field's value. func (s StartTextDetectionFilters) SetRegionsOfInterest(v []RegionOfInterest) StartTextDetectionFilters { s.RegionsOfInterest = v return s } // SetWordFilter sets the WordFilter field's value. func (s StartTextDetectionFilters) SetWordFilter(v DetectionFilter) StartTextDetectionFilters { s.WordFilter = v return s } type StartTextDetectionInput struct { _ struct{} `type:"structure"` // Idempotent token used to identify the start request. If you use the same // token with multiple StartTextDetection requests, the same JobId is returned. // Use ClientRequestToken to prevent the same job from being accidentaly started // more than once. ClientRequestToken string `min:"1" type:"string"` // Optional parameters that let you set criteria the text must meet to be included // in your response. Filters StartTextDetectionFilters `type:"structure"` // An identifier returned in the completion status published by your Amazon // Simple Notification Service topic. For example, you can use JobTag to group // related jobs and identify them in the completion notification. JobTag string `min:"1" type:"string"` // The Amazon Simple Notification Service topic to which Amazon Rekognition // publishes the completion status of a video analysis operation. For more information, // see Calling Amazon Rekognition Video operations (https://docs.aws.amazon.com/rekognition/latest/dg/api-video.html). // Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition // if you are using the AmazonRekognitionServiceRole permissions policy to access // the topic. For more information, see Giving access to multiple Amazon SNS // topics (https://docs.aws.amazon.com/rekognition/latest/dg/api-video-roles.html#api-video-roles-all-topics). NotificationChannel NotificationChannel `type:"structure"` // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. // // Video is a required field Video Video `type:"structure" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StartTextDetectionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StartTextDetectionInput"} if s.ClientRequestToken != nil && len(s.ClientRequestToken) < 1 { invalidParams.Add(request.NewErrParamMinLen("ClientRequestToken", 1)) } if s.JobTag != nil && len(s.JobTag) < 1 { invalidParams.Add(request.NewErrParamMinLen("JobTag", 1)) } if s.Video == nil { invalidParams.Add(request.NewErrParamRequired("Video")) } if s.NotificationChannel != nil { if err := s.NotificationChannel.Validate(); err != nil { invalidParams.AddNested("NotificationChannel", err.(request.ErrInvalidParams)) } } if s.Video != nil { if err := s.Video.Validate(); err != nil { invalidParams.AddNested("Video", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetClientRequestToken sets the ClientRequestToken field's value. func (s StartTextDetectionInput) SetClientRequestToken(v string) StartTextDetectionInput { s.ClientRequestToken = &v return s } // SetFilters sets the Filters field's value. func (s StartTextDetectionInput) SetFilters(v StartTextDetectionFilters) StartTextDetectionInput { s.Filters = v return s } // SetJobTag sets the JobTag field's value. func (s StartTextDetectionInput) SetJobTag(v string) StartTextDetectionInput { s.JobTag = &v return s } // SetNotificationChannel sets the NotificationChannel field's value. func (s StartTextDetectionInput) SetNotificationChannel(v NotificationChannel) StartTextDetectionInput { s.NotificationChannel = v return s } // SetVideo sets the Video field's value. func (s StartTextDetectionInput) SetVideo(v Video) StartTextDetectionInput { s.Video = v return s } type StartTextDetectionOutput struct { _ struct{} `type:"structure"` // Identifier for the text detection job. Use JobId to identify the job in a // subsequent call to GetTextDetection. JobId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StartTextDetectionOutput) GoString() string { return s.String() } // SetJobId sets the JobId field's value. func (s StartTextDetectionOutput) SetJobId(v string) StartTextDetectionOutput { s.JobId = &v return s } type StopProjectVersionInput struct { _ struct{} `type:"structure"` // The Amazon Resource Name (ARN) of the model version that you want to stop. // // This operation requires permissions to perform the rekognition:StopProjectVersion // action. // // ProjectVersionArn is a required field ProjectVersionArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopProjectVersionInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopProjectVersionInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StopProjectVersionInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StopProjectVersionInput"} if s.ProjectVersionArn == nil { invalidParams.Add(request.NewErrParamRequired("ProjectVersionArn")) } if s.ProjectVersionArn != nil && len(s.ProjectVersionArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ProjectVersionArn", 20)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetProjectVersionArn sets the ProjectVersionArn field's value. func (s StopProjectVersionInput) SetProjectVersionArn(v string) StopProjectVersionInput { s.ProjectVersionArn = &v return s } type StopProjectVersionOutput struct { _ struct{} `type:"structure"` // The current status of the stop operation. Status string `type:"string" enum:"ProjectVersionStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopProjectVersionOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopProjectVersionOutput) GoString() string { return s.String() } // SetStatus sets the Status field's value. func (s StopProjectVersionOutput) SetStatus(v string) StopProjectVersionOutput { s.Status = &v return s } type StopStreamProcessorInput struct { _ struct{} `type:"structure"` // The name of a stream processor created by CreateStreamProcessor. // // Name is a required field Name string `min:"1" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StopStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StopStreamProcessorInput"} if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetName sets the Name field's value. func (s StopStreamProcessorInput) SetName(v string) StopStreamProcessorInput { s.Name = &v return s } type StopStreamProcessorOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StopStreamProcessorOutput) GoString() string { return s.String() } // This is a required parameter for label detection stream processors and should // not be used to start a face search stream processor. type StreamProcessingStartSelector struct { _ struct{} `type:"structure"` // Specifies the starting point in the stream to start processing. This can // be done with a producer timestamp or a fragment number in a Kinesis stream. KVSStreamStartSelector KinesisVideoStreamStartSelector `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessingStartSelector) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessingStartSelector) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessingStartSelector) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessingStartSelector"} if s.KVSStreamStartSelector != nil { if err := s.KVSStreamStartSelector.Validate(); err != nil { invalidParams.AddNested("KVSStreamStartSelector", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetKVSStreamStartSelector sets the KVSStreamStartSelector field's value. func (s StreamProcessingStartSelector) SetKVSStreamStartSelector(v KinesisVideoStreamStartSelector) StreamProcessingStartSelector { s.KVSStreamStartSelector = v return s } // Specifies when to stop processing the stream. You can specify a maximum amount // of time to process the video. type StreamProcessingStopSelector struct { _ struct{} `type:"structure"` // Specifies the maximum amount of time in seconds that you want the stream // to be processed. The largest amount of time is 2 minutes. The default is // 10 seconds. MaxDurationInSeconds int64 `min:"1" type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessingStopSelector) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessingStopSelector) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessingStopSelector) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessingStopSelector"} if s.MaxDurationInSeconds != nil && s.MaxDurationInSeconds < 1 { invalidParams.Add(request.NewErrParamMinValue("MaxDurationInSeconds", 1)) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetMaxDurationInSeconds sets the MaxDurationInSeconds field's value. func (s StreamProcessingStopSelector) SetMaxDurationInSeconds(v int64) StreamProcessingStopSelector { s.MaxDurationInSeconds = &v return s } // An object that recognizes faces or labels in a streaming video. An Amazon // Rekognition stream processor is created by a call to CreateStreamProcessor. // The request parameters for CreateStreamProcessor describe the Kinesis video // stream source for the streaming video, face recognition parameters, and where // to stream the analysis resullts. type StreamProcessor struct { _ struct{} `type:"structure"` // Name of the Amazon Rekognition stream processor. Name string `min:"1" type:"string"` // Current status of the Amazon Rekognition stream processor. Status string `type:"string" enum:"StreamProcessorStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessor) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessor) GoString() string { return s.String() } // SetName sets the Name field's value. func (s StreamProcessor) SetName(v string) StreamProcessor { s.Name = &v return s } // SetStatus sets the Status field's value. func (s StreamProcessor) SetStatus(v string) StreamProcessor { s.Status = &v return s } // Allows you to opt in or opt out to share data with Rekognition to improve // model performance. You can choose this option at the account level or on // a per-stream basis. Note that if you opt out at the account level this setting // is ignored on individual streams. type StreamProcessorDataSharingPreference struct { _ struct{} `type:"structure"` // If this option is set to true, you choose to share data with Rekognition // to improve model performance. // // OptIn is a required field OptIn bool `type:"boolean" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorDataSharingPreference) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorDataSharingPreference) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessorDataSharingPreference) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessorDataSharingPreference"} if s.OptIn == nil { invalidParams.Add(request.NewErrParamRequired("OptIn")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetOptIn sets the OptIn field's value. func (s StreamProcessorDataSharingPreference) SetOptIn(v bool) StreamProcessorDataSharingPreference { s.OptIn = &v return s } // Information about the source streaming video. type StreamProcessorInput struct { _ struct{} `type:"structure"` // The Kinesis video stream input stream for the source streaming video. KinesisVideoStream KinesisVideoStream `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorInput) GoString() string { return s.String() } // SetKinesisVideoStream sets the KinesisVideoStream field's value. func (s StreamProcessorInput) SetKinesisVideoStream(v KinesisVideoStream) StreamProcessorInput { s.KinesisVideoStream = v return s } // The Amazon Simple Notification Service topic to which Amazon Rekognition // publishes the object detection results and completion status of a video analysis // operation. // // Amazon Rekognition publishes a notification the first time an object of interest // or a person is detected in the video stream. For example, if Amazon Rekognition // detects a person at second 2, a pet at second 4, and a person again at second // 5, Amazon Rekognition sends 2 object class detected notifications, one for // a person at second 2 and one for a pet at second 4. // // Amazon Rekognition also publishes an an end-of-session notification with // a summary when the stream processing session is complete. type StreamProcessorNotificationChannel struct { _ struct{} `type:"structure"` // The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification // Service topic to which Amazon Rekognition posts the completion status. // // SNSTopicArn is a required field SNSTopicArn string `type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorNotificationChannel) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorNotificationChannel) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessorNotificationChannel) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessorNotificationChannel"} if s.SNSTopicArn == nil { invalidParams.Add(request.NewErrParamRequired("SNSTopicArn")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetSNSTopicArn sets the SNSTopicArn field's value. func (s StreamProcessorNotificationChannel) SetSNSTopicArn(v string) StreamProcessorNotificationChannel { s.SNSTopicArn = &v return s } // Information about the Amazon Kinesis Data Streams stream to which a Amazon // Rekognition Video stream processor streams the results of a video analysis. // For more information, see CreateStreamProcessor in the Amazon Rekognition // Developer Guide. type StreamProcessorOutput struct { _ struct{} `type:"structure"` // The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream // processor streams the analysis results. KinesisDataStream KinesisDataStream `type:"structure"` // The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed // inference results of a video analysis operation. S3Destination S3Destination `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorOutput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessorOutput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessorOutput"} if s.S3Destination != nil { if err := s.S3Destination.Validate(); err != nil { invalidParams.AddNested("S3Destination", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetKinesisDataStream sets the KinesisDataStream field's value. func (s StreamProcessorOutput) SetKinesisDataStream(v KinesisDataStream) StreamProcessorOutput { s.KinesisDataStream = v return s } // SetS3Destination sets the S3Destination field's value. func (s StreamProcessorOutput) SetS3Destination(v S3Destination) StreamProcessorOutput { s.S3Destination = v return s } // Input parameters used in a streaming video analyzed by a Amazon Rekognition // stream processor. You can use FaceSearch to recognize faces in a streaming // video, or you can use ConnectedHome to detect labels. type StreamProcessorSettings struct { _ struct{} `type:"structure"` // Label detection settings to use on a streaming video. Defining the settings // is required in the request parameter for CreateStreamProcessor. Including // this setting in the CreateStreamProcessor request enables you to use the // stream processor for label detection. You can then select what you want the // stream processor to detect, such as people or pets. When the stream processor // has started, one notification is sent for each object class specified. For // example, if packages and pets are selected, one SNS notification is published // the first time a package is detected and one SNS notification is published // the first time a pet is detected, as well as an end-of-session summary. ConnectedHome ConnectedHomeSettings `type:"structure"` // Face search settings to use on a streaming video. FaceSearch FaceSearchSettings `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorSettings) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorSettings) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessorSettings) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessorSettings"} if s.ConnectedHome != nil { if err := s.ConnectedHome.Validate(); err != nil { invalidParams.AddNested("ConnectedHome", err.(request.ErrInvalidParams)) } } if s.FaceSearch != nil { if err := s.FaceSearch.Validate(); err != nil { invalidParams.AddNested("FaceSearch", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetConnectedHome sets the ConnectedHome field's value. func (s StreamProcessorSettings) SetConnectedHome(v ConnectedHomeSettings) StreamProcessorSettings { s.ConnectedHome = v return s } // SetFaceSearch sets the FaceSearch field's value. func (s StreamProcessorSettings) SetFaceSearch(v FaceSearchSettings) StreamProcessorSettings { s.FaceSearch = v return s } // The stream processor settings that you want to update. ConnectedHome settings // can be updated to detect different labels with a different minimum confidence. type StreamProcessorSettingsForUpdate struct { _ struct{} `type:"structure"` // The label detection settings you want to use for your stream processor. ConnectedHomeForUpdate ConnectedHomeSettingsForUpdate `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorSettingsForUpdate) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s StreamProcessorSettingsForUpdate) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s StreamProcessorSettingsForUpdate) Validate() error { invalidParams := request.ErrInvalidParams{Context: "StreamProcessorSettingsForUpdate"} if s.ConnectedHomeForUpdate != nil { if err := s.ConnectedHomeForUpdate.Validate(); err != nil { invalidParams.AddNested("ConnectedHomeForUpdate", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetConnectedHomeForUpdate sets the ConnectedHomeForUpdate field's value. func (s StreamProcessorSettingsForUpdate) SetConnectedHomeForUpdate(v ConnectedHomeSettingsForUpdate) StreamProcessorSettingsForUpdate { s.ConnectedHomeForUpdate = v return s } // The S3 bucket that contains the training summary. The training summary includes // aggregated evaluation metrics for the entire testing dataset and metrics // for each individual label. // // You get the training summary S3 bucket location by calling DescribeProjectVersions. type Summary struct { _ struct{} `type:"structure"` // Provides the S3 bucket name and object name. // // The region for the S3 bucket containing the S3 object must match the region // you use for Amazon Rekognition operations. // // For Amazon Rekognition to process an S3 object, the user must have permission // to access the S3 object. For more information, see How Amazon Rekognition // works with IAM in the Amazon Rekognition Developer Guide. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Summary) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Summary) GoString() string { return s.String() } // SetS3Object sets the S3Object field's value. func (s Summary) SetS3Object(v S3Object) Summary { s.S3Object = v return s } // Indicates whether or not the face is wearing sunglasses, and the confidence // level in the determination. type Sunglasses struct { _ struct{} `type:"structure"` // Level of confidence in the determination. Confidence float64 `type:"float"` // Boolean value that indicates whether the face is wearing sunglasses or not. Value bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Sunglasses) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Sunglasses) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s Sunglasses) SetConfidence(v float64) Sunglasses { s.Confidence = &v return s } // SetValue sets the Value field's value. func (s Sunglasses) SetValue(v bool) Sunglasses { s.Value = &v return s } type TagResourceInput struct { _ struct{} `type:"structure"` // Amazon Resource Name (ARN) of the model, collection, or stream processor // that you want to assign the tags to. // // ResourceArn is a required field ResourceArn string `min:"20" type:"string" required:"true"` // The key-value tags to assign to the resource. // // Tags is a required field Tags map[string]string `type:"map" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TagResourceInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TagResourceInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s TagResourceInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "TagResourceInput"} if s.ResourceArn == nil { invalidParams.Add(request.NewErrParamRequired("ResourceArn")) } if s.ResourceArn != nil && len(s.ResourceArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ResourceArn", 20)) } if s.Tags == nil { invalidParams.Add(request.NewErrParamRequired("Tags")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetResourceArn sets the ResourceArn field's value. func (s TagResourceInput) SetResourceArn(v string) TagResourceInput { s.ResourceArn = &v return s } // SetTags sets the Tags field's value. func (s TagResourceInput) SetTags(v map[string]string) TagResourceInput { s.Tags = v return s } type TagResourceOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TagResourceOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TagResourceOutput) GoString() string { return s.String() } // Information about a technical cue segment. For more information, see SegmentDetection. type TechnicalCueSegment struct { _ struct{} `type:"structure"` // The confidence that Amazon Rekognition Video has in the accuracy of the detected // segment. Confidence float64 `min:"50" type:"float"` // The type of the technical cue. Type string `type:"string" enum:"TechnicalCueType"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TechnicalCueSegment) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TechnicalCueSegment) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s TechnicalCueSegment) SetConfidence(v float64) TechnicalCueSegment { s.Confidence = &v return s } // SetType sets the Type field's value. func (s TechnicalCueSegment) SetType(v string) TechnicalCueSegment { s.Type = &v return s } // The dataset used for testing. Optionally, if AutoCreate is set, Amazon Rekognition // uses the training dataset to create a test dataset with a temporary split // of the training dataset. type TestingData struct { _ struct{} `type:"structure"` // The assets used for testing. Assets []Asset `type:"list"` // If specified, Rekognition splits training dataset to create a test dataset // for the training job. AutoCreate bool `type:"boolean"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TestingData) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TestingData) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s TestingData) Validate() error { invalidParams := request.ErrInvalidParams{Context: "TestingData"} if s.Assets != nil { for i, v := range s.Assets { if v == nil { continue } if err := v.Validate(); err != nil { invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Assets", i), err.(request.ErrInvalidParams)) } } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAssets sets the Assets field's value. func (s TestingData) SetAssets(v []Asset) TestingData { s.Assets = v return s } // SetAutoCreate sets the AutoCreate field's value. func (s TestingData) SetAutoCreate(v bool) TestingData { s.AutoCreate = &v return s } // Sagemaker Groundtruth format manifest files for the input, output and validation // datasets that are used and created during testing. type TestingDataResult struct { _ struct{} `type:"structure"` // The testing dataset that was supplied for training. Input TestingData `type:"structure"` // The subset of the dataset that was actually tested. Some images (assets) // might not be tested due to file formatting and other issues. Output TestingData `type:"structure"` // The location of the data validation manifest. The data validation manifest // is created for the test dataset during model training. Validation ValidationData `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TestingDataResult) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TestingDataResult) GoString() string { return s.String() } // SetInput sets the Input field's value. func (s TestingDataResult) SetInput(v TestingData) TestingDataResult { s.Input = v return s } // SetOutput sets the Output field's value. func (s TestingDataResult) SetOutput(v TestingData) TestingDataResult { s.Output = v return s } // SetValidation sets the Validation field's value. func (s TestingDataResult) SetValidation(v ValidationData) TestingDataResult { s.Validation = v return s } // Information about a word or line of text detected by DetectText. // // The DetectedText field contains the text that Amazon Rekognition detected // in the image. // // Every word and line has an identifier (Id). Each word belongs to a line and // has a parent identifier (ParentId) that identifies the line of text in which // the word appears. The word Id is also an index for the word within a line // of words. // // For more information, see Detecting text in the Amazon Rekognition Developer // Guide. type TextDetection struct { _ struct{} `type:"structure"` // The confidence that Amazon Rekognition has in the accuracy of the detected // text and the accuracy of the geometry points around the detected text. Confidence float64 `type:"float"` // The word or line of text recognized by Amazon Rekognition. DetectedText string `type:"string"` // The location of the detected text on the image. Includes an axis aligned // coarse bounding box surrounding the text and a finer grain polygon for more // accurate spatial information. Geometry Geometry `type:"structure"` // The identifier for the detected text. The identifier is only unique for a // single call to DetectText. Id int64 `type:"integer"` // The Parent identifier for the detected text identified by the value of ID. // If the type of detected text is LINE, the value of ParentId is Null. ParentId int64 `type:"integer"` // The type of text that was detected. Type string `type:"string" enum:"TextTypes"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TextDetection) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TextDetection) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s TextDetection) SetConfidence(v float64) TextDetection { s.Confidence = &v return s } // SetDetectedText sets the DetectedText field's value. func (s TextDetection) SetDetectedText(v string) TextDetection { s.DetectedText = &v return s } // SetGeometry sets the Geometry field's value. func (s TextDetection) SetGeometry(v Geometry) TextDetection { s.Geometry = v return s } // SetId sets the Id field's value. func (s TextDetection) SetId(v int64) TextDetection { s.Id = &v return s } // SetParentId sets the ParentId field's value. func (s TextDetection) SetParentId(v int64) TextDetection { s.ParentId = &v return s } // SetType sets the Type field's value. func (s TextDetection) SetType(v string) TextDetection { s.Type = &v return s } // Information about text detected in a video. Incudes the detected text, the // time in milliseconds from the start of the video that the text was detected, // and where it was detected on the screen. type TextDetectionResult struct { _ struct{} `type:"structure"` // Details about text detected in a video. TextDetection TextDetection `type:"structure"` // The time, in milliseconds from the start of the video, that the text was // detected. Note that Timestamp is not guaranteed to be accurate to the individual // frame where the text first appears. Timestamp int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TextDetectionResult) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TextDetectionResult) GoString() string { return s.String() } // SetTextDetection sets the TextDetection field's value. func (s TextDetectionResult) SetTextDetection(v TextDetection) TextDetectionResult { s.TextDetection = v return s } // SetTimestamp sets the Timestamp field's value. func (s TextDetectionResult) SetTimestamp(v int64) TextDetectionResult { s.Timestamp = &v return s } // Amazon Rekognition is temporarily unable to process the request. Try your // call again. type ThrottlingException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ThrottlingException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ThrottlingException) GoString() string { return s.String() } func newErrorThrottlingException(v protocol.ResponseMetadata) error { return &ThrottlingException{ RespMetadata: v, } } // Code returns the exception type name. func (s ThrottlingException) Code() string { return "ThrottlingException" } // Message returns the exception's message. func (s ThrottlingException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s ThrottlingException) OrigErr() error { return nil } func (s ThrottlingException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s ThrottlingException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s ThrottlingException) RequestID() string { return s.RespMetadata.RequestID } // The dataset used for training. type TrainingData struct { _ struct{} `type:"structure"` // A manifest file that contains references to the training images and ground-truth // annotations. Assets []Asset `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TrainingData) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TrainingData) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s TrainingData) Validate() error { invalidParams := request.ErrInvalidParams{Context: "TrainingData"} if s.Assets != nil { for i, v := range s.Assets { if v == nil { continue } if err := v.Validate(); err != nil { invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Assets", i), err.(request.ErrInvalidParams)) } } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetAssets sets the Assets field's value. func (s TrainingData) SetAssets(v []Asset) TrainingData { s.Assets = v return s } // The data validation manifest created for the training dataset during model // training. type TrainingDataResult struct { _ struct{} `type:"structure"` // The training data that you supplied. Input TrainingData `type:"structure"` // Reference to images (assets) that were actually used during training with // trained model predictions. Output TrainingData `type:"structure"` // A manifest that you supplied for training, with validation results for each // line. Validation ValidationData `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TrainingDataResult) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s TrainingDataResult) GoString() string { return s.String() } // SetInput sets the Input field's value. func (s TrainingDataResult) SetInput(v TrainingData) TrainingDataResult { s.Input = v return s } // SetOutput sets the Output field's value. func (s TrainingDataResult) SetOutput(v TrainingData) TrainingDataResult { s.Output = v return s } // SetValidation sets the Validation field's value. func (s TrainingDataResult) SetValidation(v ValidationData) TrainingDataResult { s.Validation = v return s } // A face that IndexFaces detected, but didn't index. Use the Reasons response // attribute to determine why a face wasn't indexed. type UnindexedFace struct { _ struct{} `type:"structure"` // The structure that contains attributes of a face that IndexFacesdetected, // but didn't index. FaceDetail FaceDetail `type:"structure"` // An array of reasons that specify why a face wasn't indexed. // // EXTREME_POSE - The face is at a pose that can't be detected. For example, // the head is turned too far away from the camera. // // * EXCEEDS_MAX_FACES - The number of faces detected is already higher than // that specified by the MaxFaces input parameter for IndexFaces. // // * LOW_BRIGHTNESS - The image is too dark. // // * LOW_SHARPNESS - The image is too blurry. // // * LOW_CONFIDENCE - The face was detected with a low confidence. // // * SMALL_BOUNDING_BOX - The bounding box around the face is too small. Reasons []string `type:"list" enum:"Reason"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnindexedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnindexedFace) GoString() string { return s.String() } // SetFaceDetail sets the FaceDetail field's value. func (s UnindexedFace) SetFaceDetail(v FaceDetail) UnindexedFace { s.FaceDetail = v return s } // SetReasons sets the Reasons field's value. func (s UnindexedFace) SetReasons(v []string) UnindexedFace { s.Reasons = v return s } // Face details inferred from the image but not used for search. The response // attribute contains reasons for why a face wasn't used for Search. type UnsearchedFace struct { _ struct{} `type:"structure"` // Structure containing attributes of the face that the algorithm detected. // // A FaceDetail object contains either the default facial attributes or all // facial attributes. The default attributes are BoundingBox, Confidence, Landmarks, // Pose, and Quality. // // GetFaceDetection is the only Amazon Rekognition Video stored video operation // that can return a FaceDetail object with all attributes. To specify which // attributes to return, use the FaceAttributes input parameter for StartFaceDetection. // The following Amazon Rekognition Video operations return only the default // attributes. The corresponding Start operations don't have a FaceAttributes // input parameter: // // GetCelebrityRecognition // // * GetPersonTracking // // * GetFaceSearch // // The Amazon Rekognition Image DetectFaces and IndexFaces operations can return // all facial attributes. To specify which attributes to return, use the Attributes // input parameter for DetectFaces. For IndexFaces, use the DetectAttributes // input parameter. FaceDetails FaceDetail `type:"structure"` // Reasons why a face wasn't used for Search. Reasons []string `type:"list" enum:"UnsearchedFaceReason"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsearchedFace) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsearchedFace) GoString() string { return s.String() } // SetFaceDetails sets the FaceDetails field's value. func (s UnsearchedFace) SetFaceDetails(v FaceDetail) UnsearchedFace { s.FaceDetails = v return s } // SetReasons sets the Reasons field's value. func (s UnsearchedFace) SetReasons(v []string) UnsearchedFace { s.Reasons = v return s } // Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully // associated. type UnsuccessfulFaceAssociation struct { _ struct{} `type:"structure"` // Match confidence with the UserID, provides information regarding if a face // association was unsuccessful because it didn't meet UserMatchThreshold. Confidence float64 `type:"float"` // A unique identifier assigned to the face. FaceId string `type:"string"` // The reason why the association was unsuccessful. Reasons []string `type:"list" enum:"UnsuccessfulFaceAssociationReason"` // A provided ID for the UserID. Unique within the collection. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceAssociation) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceAssociation) GoString() string { return s.String() } // SetConfidence sets the Confidence field's value. func (s UnsuccessfulFaceAssociation) SetConfidence(v float64) UnsuccessfulFaceAssociation { s.Confidence = &v return s } // SetFaceId sets the FaceId field's value. func (s UnsuccessfulFaceAssociation) SetFaceId(v string) UnsuccessfulFaceAssociation { s.FaceId = &v return s } // SetReasons sets the Reasons field's value. func (s UnsuccessfulFaceAssociation) SetReasons(v []string) UnsuccessfulFaceAssociation { s.Reasons = v return s } // SetUserId sets the UserId field's value. func (s UnsuccessfulFaceAssociation) SetUserId(v string) UnsuccessfulFaceAssociation { s.UserId = &v return s } // Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully // deleted. type UnsuccessfulFaceDeletion struct { _ struct{} `type:"structure"` // A unique identifier assigned to the face. FaceId string `type:"string"` // The reason why the deletion was unsuccessful. Reasons []string `type:"list" enum:"UnsuccessfulFaceDeletionReason"` // A provided ID for the UserID. Unique within the collection. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceDeletion) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceDeletion) GoString() string { return s.String() } // SetFaceId sets the FaceId field's value. func (s UnsuccessfulFaceDeletion) SetFaceId(v string) UnsuccessfulFaceDeletion { s.FaceId = &v return s } // SetReasons sets the Reasons field's value. func (s UnsuccessfulFaceDeletion) SetReasons(v []string) UnsuccessfulFaceDeletion { s.Reasons = v return s } // SetUserId sets the UserId field's value. func (s UnsuccessfulFaceDeletion) SetUserId(v string) UnsuccessfulFaceDeletion { s.UserId = &v return s } // Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully // disassociated. type UnsuccessfulFaceDisassociation struct { _ struct{} `type:"structure"` // A unique identifier assigned to the face. FaceId string `type:"string"` // The reason why the deletion was unsuccessful. Reasons []string `type:"list" enum:"UnsuccessfulFaceDisassociationReason"` // A provided ID for the UserID. Unique within the collection. UserId string `min:"1" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceDisassociation) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UnsuccessfulFaceDisassociation) GoString() string { return s.String() } // SetFaceId sets the FaceId field's value. func (s UnsuccessfulFaceDisassociation) SetFaceId(v string) UnsuccessfulFaceDisassociation { s.FaceId = &v return s } // SetReasons sets the Reasons field's value. func (s UnsuccessfulFaceDisassociation) SetReasons(v []string) UnsuccessfulFaceDisassociation { s.Reasons = v return s } // SetUserId sets the UserId field's value. func (s UnsuccessfulFaceDisassociation) SetUserId(v string) UnsuccessfulFaceDisassociation { s.UserId = &v return s } type UntagResourceInput struct { _ struct{} `type:"structure"` // Amazon Resource Name (ARN) of the model, collection, or stream processor // that you want to remove the tags from. // // ResourceArn is a required field ResourceArn string `min:"20" type:"string" required:"true"` // A list of the tags that you want to remove. // // TagKeys is a required field TagKeys []string `type:"list" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UntagResourceInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UntagResourceInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s UntagResourceInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "UntagResourceInput"} if s.ResourceArn == nil { invalidParams.Add(request.NewErrParamRequired("ResourceArn")) } if s.ResourceArn != nil && len(s.ResourceArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("ResourceArn", 20)) } if s.TagKeys == nil { invalidParams.Add(request.NewErrParamRequired("TagKeys")) } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetResourceArn sets the ResourceArn field's value. func (s UntagResourceInput) SetResourceArn(v string) UntagResourceInput { s.ResourceArn = &v return s } // SetTagKeys sets the TagKeys field's value. func (s UntagResourceInput) SetTagKeys(v []string) UntagResourceInput { s.TagKeys = v return s } type UntagResourceOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UntagResourceOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UntagResourceOutput) GoString() string { return s.String() } type UpdateDatasetEntriesInput struct { _ struct{} `type:"structure"` // The changes that you want to make to the dataset. // // Changes is a required field Changes DatasetChanges `type:"structure" required:"true"` // The Amazon Resource Name (ARN) of the dataset that you want to update. // // DatasetArn is a required field DatasetArn string `min:"20" type:"string" required:"true"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateDatasetEntriesInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateDatasetEntriesInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s UpdateDatasetEntriesInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "UpdateDatasetEntriesInput"} if s.Changes == nil { invalidParams.Add(request.NewErrParamRequired("Changes")) } if s.DatasetArn == nil { invalidParams.Add(request.NewErrParamRequired("DatasetArn")) } if s.DatasetArn != nil && len(s.DatasetArn) < 20 { invalidParams.Add(request.NewErrParamMinLen("DatasetArn", 20)) } if s.Changes != nil { if err := s.Changes.Validate(); err != nil { invalidParams.AddNested("Changes", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetChanges sets the Changes field's value. func (s UpdateDatasetEntriesInput) SetChanges(v DatasetChanges) UpdateDatasetEntriesInput { s.Changes = v return s } // SetDatasetArn sets the DatasetArn field's value. func (s UpdateDatasetEntriesInput) SetDatasetArn(v string) UpdateDatasetEntriesInput { s.DatasetArn = &v return s } type UpdateDatasetEntriesOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateDatasetEntriesOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateDatasetEntriesOutput) GoString() string { return s.String() } type UpdateStreamProcessorInput struct { _ struct{} `type:"structure"` // Shows whether you are sharing data with Rekognition to improve model performance. // You can choose this option at the account level or on a per-stream basis. // Note that if you opt out at the account level this setting is ignored on // individual streams. DataSharingPreferenceForUpdate StreamProcessorDataSharingPreference `type:"structure"` // Name of the stream processor that you want to update. // // Name is a required field Name string `min:"1" type:"string" required:"true"` // A list of parameters you want to delete from the stream processor. ParametersToDelete []string `type:"list" enum:"StreamProcessorParameterToDelete"` // Specifies locations in the frames where Amazon Rekognition checks for objects // or people. This is an optional parameter for label detection stream processors. RegionsOfInterestForUpdate []RegionOfInterest `type:"list"` // The stream processor settings that you want to update. Label detection settings // can be updated to detect different labels with a different minimum confidence. SettingsForUpdate StreamProcessorSettingsForUpdate `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateStreamProcessorInput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateStreamProcessorInput) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s UpdateStreamProcessorInput) Validate() error { invalidParams := request.ErrInvalidParams{Context: "UpdateStreamProcessorInput"} if s.Name == nil { invalidParams.Add(request.NewErrParamRequired("Name")) } if s.Name != nil && len(s.Name) < 1 { invalidParams.Add(request.NewErrParamMinLen("Name", 1)) } if s.DataSharingPreferenceForUpdate != nil { if err := s.DataSharingPreferenceForUpdate.Validate(); err != nil { invalidParams.AddNested("DataSharingPreferenceForUpdate", err.(request.ErrInvalidParams)) } } if s.SettingsForUpdate != nil { if err := s.SettingsForUpdate.Validate(); err != nil { invalidParams.AddNested("SettingsForUpdate", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetDataSharingPreferenceForUpdate sets the DataSharingPreferenceForUpdate field's value. func (s UpdateStreamProcessorInput) SetDataSharingPreferenceForUpdate(v StreamProcessorDataSharingPreference) UpdateStreamProcessorInput { s.DataSharingPreferenceForUpdate = v return s } // SetName sets the Name field's value. func (s UpdateStreamProcessorInput) SetName(v string) UpdateStreamProcessorInput { s.Name = &v return s } // SetParametersToDelete sets the ParametersToDelete field's value. func (s UpdateStreamProcessorInput) SetParametersToDelete(v []string) UpdateStreamProcessorInput { s.ParametersToDelete = v return s } // SetRegionsOfInterestForUpdate sets the RegionsOfInterestForUpdate field's value. func (s UpdateStreamProcessorInput) SetRegionsOfInterestForUpdate(v []RegionOfInterest) UpdateStreamProcessorInput { s.RegionsOfInterestForUpdate = v return s } // SetSettingsForUpdate sets the SettingsForUpdate field's value. func (s UpdateStreamProcessorInput) SetSettingsForUpdate(v StreamProcessorSettingsForUpdate) UpdateStreamProcessorInput { s.SettingsForUpdate = v return s } type UpdateStreamProcessorOutput struct { _ struct{} `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateStreamProcessorOutput) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UpdateStreamProcessorOutput) GoString() string { return s.String() } // Metadata of the user stored in a collection. type User struct { _ struct{} `type:"structure"` // A provided ID for the User. Unique within the collection. UserId string `min:"1" type:"string"` // Communicates if the UserID has been updated with latest set of faces to be // associated with the UserID. UserStatus string `type:"string" enum:"UserStatus"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s User) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s User) GoString() string { return s.String() } // SetUserId sets the UserId field's value. func (s User) SetUserId(v string) User { s.UserId = &v return s } // SetUserStatus sets the UserStatus field's value. func (s User) SetUserStatus(v string) User { s.UserStatus = &v return s } // Provides UserID metadata along with the confidence in the match of this UserID // with the input face. type UserMatch struct { _ struct{} `type:"structure"` // Describes the UserID metadata. Similarity float64 `type:"float"` // Confidence in the match of this UserID with the input face. User MatchedUser `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UserMatch) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s UserMatch) GoString() string { return s.String() } // SetSimilarity sets the Similarity field's value. func (s UserMatch) SetSimilarity(v float64) UserMatch { s.Similarity = &v return s } // SetUser sets the User field's value. func (s UserMatch) SetUser(v MatchedUser) UserMatch { s.User = v return s } // Contains the Amazon S3 bucket location of the validation data for a model // training job. // // The validation data includes error information for individual JSON Lines // in the dataset. For more information, see Debugging a Failed Model Training // in the Amazon Rekognition Custom Labels Developer Guide. // // You get the ValidationData object for the training dataset (TrainingDataResult) // and the test dataset (TestingDataResult) by calling DescribeProjectVersions. // // The assets array contains a single Asset object. The GroundTruthManifest // field of the Asset object contains the S3 bucket location of the validation // data. type ValidationData struct { _ struct{} `type:"structure"` // The assets that comprise the validation data. Assets []Asset `type:"list"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ValidationData) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s ValidationData) GoString() string { return s.String() } // SetAssets sets the Assets field's value. func (s ValidationData) SetAssets(v []Asset) ValidationData { s.Assets = v return s } // Video file stored in an Amazon S3 bucket. Amazon Rekognition video start // operations such as StartLabelDetection use Video to specify a video for analysis. // The supported file formats are .mp4, .mov and .avi. type Video struct { _ struct{} `type:"structure"` // The Amazon S3 bucket name and file name for the video. S3Object S3Object `type:"structure"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Video) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s Video) GoString() string { return s.String() } // Validate inspects the fields of the type to determine if they are valid. func (s Video) Validate() error { invalidParams := request.ErrInvalidParams{Context: "Video"} if s.S3Object != nil { if err := s.S3Object.Validate(); err != nil { invalidParams.AddNested("S3Object", err.(request.ErrInvalidParams)) } } if invalidParams.Len() > 0 { return invalidParams } return nil } // SetS3Object sets the S3Object field's value. func (s Video) SetS3Object(v S3Object) Video { s.S3Object = v return s } // Information about a video that Amazon Rekognition analyzed. Videometadata // is returned in every page of paginated responses from a Amazon Rekognition // video operation. type VideoMetadata struct { _ struct{} `type:"structure"` // Type of compression used in the analyzed video. Codec string `type:"string"` // A description of the range of luminance values in a video, either LIMITED // (16 to 235) or FULL (0 to 255). ColorRange string `type:"string" enum:"VideoColorRange"` // Length of the video in milliseconds. DurationMillis int64 `type:"long"` // Format of the analyzed video. Possible values are MP4, MOV and AVI. Format string `type:"string"` // Vertical pixel dimension of the video. FrameHeight int64 `type:"long"` // Number of frames per second in the video. FrameRate float64 `type:"float"` // Horizontal pixel dimension of the video. FrameWidth int64 `type:"long"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s VideoMetadata) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s VideoMetadata) GoString() string { return s.String() } // SetCodec sets the Codec field's value. func (s VideoMetadata) SetCodec(v string) VideoMetadata { s.Codec = &v return s } // SetColorRange sets the ColorRange field's value. func (s VideoMetadata) SetColorRange(v string) VideoMetadata { s.ColorRange = &v return s } // SetDurationMillis sets the DurationMillis field's value. func (s VideoMetadata) SetDurationMillis(v int64) VideoMetadata { s.DurationMillis = &v return s } // SetFormat sets the Format field's value. func (s VideoMetadata) SetFormat(v string) VideoMetadata { s.Format = &v return s } // SetFrameHeight sets the FrameHeight field's value. func (s VideoMetadata) SetFrameHeight(v int64) VideoMetadata { s.FrameHeight = &v return s } // SetFrameRate sets the FrameRate field's value. func (s VideoMetadata) SetFrameRate(v float64) VideoMetadata { s.FrameRate = &v return s } // SetFrameWidth sets the FrameWidth field's value. func (s VideoMetadata) SetFrameWidth(v int64) VideoMetadata { s.FrameWidth = &v return s } // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. type VideoTooLargeException struct { _ struct{} `type:"structure"` RespMetadata protocol.ResponseMetadata `json:"-" xml:"-"` Message_ string `locationName:"message" type:"string"` } // String returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s VideoTooLargeException) String() string { return awsutil.Prettify(s) } // GoString returns the string representation. // // API parameter values that are decorated as "sensitive" in the API will not // be included in the string output. The member name will be present, but the // value will be replaced with "sensitive". func (s VideoTooLargeException) GoString() string { return s.String() } func newErrorVideoTooLargeException(v protocol.ResponseMetadata) error { return &VideoTooLargeException{ RespMetadata: v, } } // Code returns the exception type name. func (s VideoTooLargeException) Code() string { return "VideoTooLargeException" } // Message returns the exception's message. func (s VideoTooLargeException) Message() string { if s.Message_ != nil { return s.Message_ } return "" } // OrigErr always returns nil, satisfies awserr.Error interface. func (s VideoTooLargeException) OrigErr() error { return nil } func (s VideoTooLargeException) Error() string { return fmt.Sprintf("%s: %s", s.Code(), s.Message()) } // Status code returns the HTTP status code for the request's response error. func (s VideoTooLargeException) StatusCode() int { return s.RespMetadata.StatusCode } // RequestID returns the service's response RequestID for request. func (s *VideoTooLargeException) RequestID() string { return s.RespMetadata.RequestID } const ( // AttributeDefault is a Attribute enum value AttributeDefault = "DEFAULT" // AttributeAll is a Attribute enum value AttributeAll = "ALL" // AttributeAgeRange is a Attribute enum value AttributeAgeRange = "AGE_RANGE" // AttributeBeard is a Attribute enum value AttributeBeard = "BEARD" // AttributeEmotions is a Attribute enum value AttributeEmotions = "EMOTIONS" // AttributeEyeDirection is a Attribute enum value AttributeEyeDirection = "EYE_DIRECTION" // AttributeEyeglasses is a Attribute enum value AttributeEyeglasses = "EYEGLASSES" // AttributeEyesOpen is a Attribute enum value AttributeEyesOpen = "EYES_OPEN" // AttributeGender is a Attribute enum value AttributeGender = "GENDER" // AttributeMouthOpen is a Attribute enum value AttributeMouthOpen = "MOUTH_OPEN" // AttributeMustache is a Attribute enum value AttributeMustache = "MUSTACHE" // AttributeFaceOccluded is a Attribute enum value AttributeFaceOccluded = "FACE_OCCLUDED" // AttributeSmile is a Attribute enum value AttributeSmile = "SMILE" // AttributeSunglasses is a Attribute enum value AttributeSunglasses = "SUNGLASSES" ) // Attribute_Values returns all elements of the Attribute enum func Attribute_Values() []string { return []string{ AttributeDefault, AttributeAll, AttributeAgeRange, AttributeBeard, AttributeEmotions, AttributeEyeDirection, AttributeEyeglasses, AttributeEyesOpen, AttributeGender, AttributeMouthOpen, AttributeMustache, AttributeFaceOccluded, AttributeSmile, AttributeSunglasses, } } const ( // BodyPartFace is a BodyPart enum value BodyPartFace = "FACE" // BodyPartHead is a BodyPart enum value BodyPartHead = "HEAD" // BodyPartLeftHand is a BodyPart enum value BodyPartLeftHand = "LEFT_HAND" // BodyPartRightHand is a BodyPart enum value BodyPartRightHand = "RIGHT_HAND" ) // BodyPart_Values returns all elements of the BodyPart enum func BodyPart_Values() []string { return []string{ BodyPartFace, BodyPartHead, BodyPartLeftHand, BodyPartRightHand, } } const ( // CelebrityRecognitionSortById is a CelebrityRecognitionSortBy enum value CelebrityRecognitionSortById = "ID" // CelebrityRecognitionSortByTimestamp is a CelebrityRecognitionSortBy enum value CelebrityRecognitionSortByTimestamp = "TIMESTAMP" ) // CelebrityRecognitionSortBy_Values returns all elements of the CelebrityRecognitionSortBy enum func CelebrityRecognitionSortBy_Values() []string { return []string{ CelebrityRecognitionSortById, CelebrityRecognitionSortByTimestamp, } } const ( // ContentClassifierFreeOfPersonallyIdentifiableInformation is a ContentClassifier enum value ContentClassifierFreeOfPersonallyIdentifiableInformation = "FreeOfPersonallyIdentifiableInformation" // ContentClassifierFreeOfAdultContent is a ContentClassifier enum value ContentClassifierFreeOfAdultContent = "FreeOfAdultContent" ) // ContentClassifier_Values returns all elements of the ContentClassifier enum func ContentClassifier_Values() []string { return []string{ ContentClassifierFreeOfPersonallyIdentifiableInformation, ContentClassifierFreeOfAdultContent, } } const ( // ContentModerationAggregateByTimestamps is a ContentModerationAggregateBy enum value ContentModerationAggregateByTimestamps = "TIMESTAMPS" // ContentModerationAggregateBySegments is a ContentModerationAggregateBy enum value ContentModerationAggregateBySegments = "SEGMENTS" ) // ContentModerationAggregateBy_Values returns all elements of the ContentModerationAggregateBy enum func ContentModerationAggregateBy_Values() []string { return []string{ ContentModerationAggregateByTimestamps, ContentModerationAggregateBySegments, } } const ( // ContentModerationSortByName is a ContentModerationSortBy enum value ContentModerationSortByName = "NAME" // ContentModerationSortByTimestamp is a ContentModerationSortBy enum value ContentModerationSortByTimestamp = "TIMESTAMP" ) // ContentModerationSortBy_Values returns all elements of the ContentModerationSortBy enum func ContentModerationSortBy_Values() []string { return []string{ ContentModerationSortByName, ContentModerationSortByTimestamp, } } const ( // CustomizationFeatureContentModeration is a CustomizationFeature enum value CustomizationFeatureContentModeration = "CONTENT_MODERATION" // CustomizationFeatureCustomLabels is a CustomizationFeature enum value CustomizationFeatureCustomLabels = "CUSTOM_LABELS" ) // CustomizationFeature_Values returns all elements of the CustomizationFeature enum func CustomizationFeature_Values() []string { return []string{ CustomizationFeatureContentModeration, CustomizationFeatureCustomLabels, } } const ( // DatasetStatusCreateInProgress is a DatasetStatus enum value DatasetStatusCreateInProgress = "CREATE_IN_PROGRESS" // DatasetStatusCreateComplete is a DatasetStatus enum value DatasetStatusCreateComplete = "CREATE_COMPLETE" // DatasetStatusCreateFailed is a DatasetStatus enum value DatasetStatusCreateFailed = "CREATE_FAILED" // DatasetStatusUpdateInProgress is a DatasetStatus enum value DatasetStatusUpdateInProgress = "UPDATE_IN_PROGRESS" // DatasetStatusUpdateComplete is a DatasetStatus enum value DatasetStatusUpdateComplete = "UPDATE_COMPLETE" // DatasetStatusUpdateFailed is a DatasetStatus enum value DatasetStatusUpdateFailed = "UPDATE_FAILED" // DatasetStatusDeleteInProgress is a DatasetStatus enum value DatasetStatusDeleteInProgress = "DELETE_IN_PROGRESS" ) // DatasetStatus_Values returns all elements of the DatasetStatus enum func DatasetStatus_Values() []string { return []string{ DatasetStatusCreateInProgress, DatasetStatusCreateComplete, DatasetStatusCreateFailed, DatasetStatusUpdateInProgress, DatasetStatusUpdateComplete, DatasetStatusUpdateFailed, DatasetStatusDeleteInProgress, } } const ( // DatasetStatusMessageCodeSuccess is a DatasetStatusMessageCode enum value DatasetStatusMessageCodeSuccess = "SUCCESS" // DatasetStatusMessageCodeServiceError is a DatasetStatusMessageCode enum value DatasetStatusMessageCodeServiceError = "SERVICE_ERROR" // DatasetStatusMessageCodeClientError is a DatasetStatusMessageCode enum value DatasetStatusMessageCodeClientError = "CLIENT_ERROR" ) // DatasetStatusMessageCode_Values returns all elements of the DatasetStatusMessageCode enum func DatasetStatusMessageCode_Values() []string { return []string{ DatasetStatusMessageCodeSuccess, DatasetStatusMessageCodeServiceError, DatasetStatusMessageCodeClientError, } } const ( // DatasetTypeTrain is a DatasetType enum value DatasetTypeTrain = "TRAIN" // DatasetTypeTest is a DatasetType enum value DatasetTypeTest = "TEST" ) // DatasetType_Values returns all elements of the DatasetType enum func DatasetType_Values() []string { return []string{ DatasetTypeTrain, DatasetTypeTest, } } const ( // DetectLabelsFeatureNameGeneralLabels is a DetectLabelsFeatureName enum value DetectLabelsFeatureNameGeneralLabels = "GENERAL_LABELS" // DetectLabelsFeatureNameImageProperties is a DetectLabelsFeatureName enum value DetectLabelsFeatureNameImageProperties = "IMAGE_PROPERTIES" ) // DetectLabelsFeatureName_Values returns all elements of the DetectLabelsFeatureName enum func DetectLabelsFeatureName_Values() []string { return []string{ DetectLabelsFeatureNameGeneralLabels, DetectLabelsFeatureNameImageProperties, } } const ( // EmotionNameHappy is a EmotionName enum value EmotionNameHappy = "HAPPY" // EmotionNameSad is a EmotionName enum value EmotionNameSad = "SAD" // EmotionNameAngry is a EmotionName enum value EmotionNameAngry = "ANGRY" // EmotionNameConfused is a EmotionName enum value EmotionNameConfused = "CONFUSED" // EmotionNameDisgusted is a EmotionName enum value EmotionNameDisgusted = "DISGUSTED" // EmotionNameSurprised is a EmotionName enum value EmotionNameSurprised = "SURPRISED" // EmotionNameCalm is a EmotionName enum value EmotionNameCalm = "CALM" // EmotionNameUnknown is a EmotionName enum value EmotionNameUnknown = "UNKNOWN" // EmotionNameFear is a EmotionName enum value EmotionNameFear = "FEAR" ) // EmotionName_Values returns all elements of the EmotionName enum func EmotionName_Values() []string { return []string{ EmotionNameHappy, EmotionNameSad, EmotionNameAngry, EmotionNameConfused, EmotionNameDisgusted, EmotionNameSurprised, EmotionNameCalm, EmotionNameUnknown, EmotionNameFear, } } const ( // FaceAttributesDefault is a FaceAttributes enum value FaceAttributesDefault = "DEFAULT" // FaceAttributesAll is a FaceAttributes enum value FaceAttributesAll = "ALL" ) // FaceAttributes_Values returns all elements of the FaceAttributes enum func FaceAttributes_Values() []string { return []string{ FaceAttributesDefault, FaceAttributesAll, } } const ( // FaceSearchSortByIndex is a FaceSearchSortBy enum value FaceSearchSortByIndex = "INDEX" // FaceSearchSortByTimestamp is a FaceSearchSortBy enum value FaceSearchSortByTimestamp = "TIMESTAMP" ) // FaceSearchSortBy_Values returns all elements of the FaceSearchSortBy enum func FaceSearchSortBy_Values() []string { return []string{ FaceSearchSortByIndex, FaceSearchSortByTimestamp, } } const ( // GenderTypeMale is a GenderType enum value GenderTypeMale = "Male" // GenderTypeFemale is a GenderType enum value GenderTypeFemale = "Female" ) // GenderType_Values returns all elements of the GenderType enum func GenderType_Values() []string { return []string{ GenderTypeMale, GenderTypeFemale, } } // A list of enum string of possible gender values that Celebrity returns. const ( // KnownGenderTypeMale is a KnownGenderType enum value KnownGenderTypeMale = "Male" // KnownGenderTypeFemale is a KnownGenderType enum value KnownGenderTypeFemale = "Female" // KnownGenderTypeNonbinary is a KnownGenderType enum value KnownGenderTypeNonbinary = "Nonbinary" // KnownGenderTypeUnlisted is a KnownGenderType enum value KnownGenderTypeUnlisted = "Unlisted" ) // KnownGenderType_Values returns all elements of the KnownGenderType enum func KnownGenderType_Values() []string { return []string{ KnownGenderTypeMale, KnownGenderTypeFemale, KnownGenderTypeNonbinary, KnownGenderTypeUnlisted, } } const ( // LabelDetectionAggregateByTimestamps is a LabelDetectionAggregateBy enum value LabelDetectionAggregateByTimestamps = "TIMESTAMPS" // LabelDetectionAggregateBySegments is a LabelDetectionAggregateBy enum value LabelDetectionAggregateBySegments = "SEGMENTS" ) // LabelDetectionAggregateBy_Values returns all elements of the LabelDetectionAggregateBy enum func LabelDetectionAggregateBy_Values() []string { return []string{ LabelDetectionAggregateByTimestamps, LabelDetectionAggregateBySegments, } } const ( // LabelDetectionFeatureNameGeneralLabels is a LabelDetectionFeatureName enum value LabelDetectionFeatureNameGeneralLabels = "GENERAL_LABELS" ) // LabelDetectionFeatureName_Values returns all elements of the LabelDetectionFeatureName enum func LabelDetectionFeatureName_Values() []string { return []string{ LabelDetectionFeatureNameGeneralLabels, } } const ( // LabelDetectionSortByName is a LabelDetectionSortBy enum value LabelDetectionSortByName = "NAME" // LabelDetectionSortByTimestamp is a LabelDetectionSortBy enum value LabelDetectionSortByTimestamp = "TIMESTAMP" ) // LabelDetectionSortBy_Values returns all elements of the LabelDetectionSortBy enum func LabelDetectionSortBy_Values() []string { return []string{ LabelDetectionSortByName, LabelDetectionSortByTimestamp, } } const ( // LandmarkTypeEyeLeft is a LandmarkType enum value LandmarkTypeEyeLeft = "eyeLeft" // LandmarkTypeEyeRight is a LandmarkType enum value LandmarkTypeEyeRight = "eyeRight" // LandmarkTypeNose is a LandmarkType enum value LandmarkTypeNose = "nose" // LandmarkTypeMouthLeft is a LandmarkType enum value LandmarkTypeMouthLeft = "mouthLeft" // LandmarkTypeMouthRight is a LandmarkType enum value LandmarkTypeMouthRight = "mouthRight" // LandmarkTypeLeftEyeBrowLeft is a LandmarkType enum value LandmarkTypeLeftEyeBrowLeft = "leftEyeBrowLeft" // LandmarkTypeLeftEyeBrowRight is a LandmarkType enum value LandmarkTypeLeftEyeBrowRight = "leftEyeBrowRight" // LandmarkTypeLeftEyeBrowUp is a LandmarkType enum value LandmarkTypeLeftEyeBrowUp = "leftEyeBrowUp" // LandmarkTypeRightEyeBrowLeft is a LandmarkType enum value LandmarkTypeRightEyeBrowLeft = "rightEyeBrowLeft" // LandmarkTypeRightEyeBrowRight is a LandmarkType enum value LandmarkTypeRightEyeBrowRight = "rightEyeBrowRight" // LandmarkTypeRightEyeBrowUp is a LandmarkType enum value LandmarkTypeRightEyeBrowUp = "rightEyeBrowUp" // LandmarkTypeLeftEyeLeft is a LandmarkType enum value LandmarkTypeLeftEyeLeft = "leftEyeLeft" // LandmarkTypeLeftEyeRight is a LandmarkType enum value LandmarkTypeLeftEyeRight = "leftEyeRight" // LandmarkTypeLeftEyeUp is a LandmarkType enum value LandmarkTypeLeftEyeUp = "leftEyeUp" // LandmarkTypeLeftEyeDown is a LandmarkType enum value LandmarkTypeLeftEyeDown = "leftEyeDown" // LandmarkTypeRightEyeLeft is a LandmarkType enum value LandmarkTypeRightEyeLeft = "rightEyeLeft" // LandmarkTypeRightEyeRight is a LandmarkType enum value LandmarkTypeRightEyeRight = "rightEyeRight" // LandmarkTypeRightEyeUp is a LandmarkType enum value LandmarkTypeRightEyeUp = "rightEyeUp" // LandmarkTypeRightEyeDown is a LandmarkType enum value LandmarkTypeRightEyeDown = "rightEyeDown" // LandmarkTypeNoseLeft is a LandmarkType enum value LandmarkTypeNoseLeft = "noseLeft" // LandmarkTypeNoseRight is a LandmarkType enum value LandmarkTypeNoseRight = "noseRight" // LandmarkTypeMouthUp is a LandmarkType enum value LandmarkTypeMouthUp = "mouthUp" // LandmarkTypeMouthDown is a LandmarkType enum value LandmarkTypeMouthDown = "mouthDown" // LandmarkTypeLeftPupil is a LandmarkType enum value LandmarkTypeLeftPupil = "leftPupil" // LandmarkTypeRightPupil is a LandmarkType enum value LandmarkTypeRightPupil = "rightPupil" // LandmarkTypeUpperJawlineLeft is a LandmarkType enum value LandmarkTypeUpperJawlineLeft = "upperJawlineLeft" // LandmarkTypeMidJawlineLeft is a LandmarkType enum value LandmarkTypeMidJawlineLeft = "midJawlineLeft" // LandmarkTypeChinBottom is a LandmarkType enum value LandmarkTypeChinBottom = "chinBottom" // LandmarkTypeMidJawlineRight is a LandmarkType enum value LandmarkTypeMidJawlineRight = "midJawlineRight" // LandmarkTypeUpperJawlineRight is a LandmarkType enum value LandmarkTypeUpperJawlineRight = "upperJawlineRight" ) // LandmarkType_Values returns all elements of the LandmarkType enum func LandmarkType_Values() []string { return []string{ LandmarkTypeEyeLeft, LandmarkTypeEyeRight, LandmarkTypeNose, LandmarkTypeMouthLeft, LandmarkTypeMouthRight, LandmarkTypeLeftEyeBrowLeft, LandmarkTypeLeftEyeBrowRight, LandmarkTypeLeftEyeBrowUp, LandmarkTypeRightEyeBrowLeft, LandmarkTypeRightEyeBrowRight, LandmarkTypeRightEyeBrowUp, LandmarkTypeLeftEyeLeft, LandmarkTypeLeftEyeRight, LandmarkTypeLeftEyeUp, LandmarkTypeLeftEyeDown, LandmarkTypeRightEyeLeft, LandmarkTypeRightEyeRight, LandmarkTypeRightEyeUp, LandmarkTypeRightEyeDown, LandmarkTypeNoseLeft, LandmarkTypeNoseRight, LandmarkTypeMouthUp, LandmarkTypeMouthDown, LandmarkTypeLeftPupil, LandmarkTypeRightPupil, LandmarkTypeUpperJawlineLeft, LandmarkTypeMidJawlineLeft, LandmarkTypeChinBottom, LandmarkTypeMidJawlineRight, LandmarkTypeUpperJawlineRight, } } const ( // LivenessSessionStatusCreated is a LivenessSessionStatus enum value LivenessSessionStatusCreated = "CREATED" // LivenessSessionStatusInProgress is a LivenessSessionStatus enum value LivenessSessionStatusInProgress = "IN_PROGRESS" // LivenessSessionStatusSucceeded is a LivenessSessionStatus enum value LivenessSessionStatusSucceeded = "SUCCEEDED" // LivenessSessionStatusFailed is a LivenessSessionStatus enum value LivenessSessionStatusFailed = "FAILED" // LivenessSessionStatusExpired is a LivenessSessionStatus enum value LivenessSessionStatusExpired = "EXPIRED" ) // LivenessSessionStatus_Values returns all elements of the LivenessSessionStatus enum func LivenessSessionStatus_Values() []string { return []string{ LivenessSessionStatusCreated, LivenessSessionStatusInProgress, LivenessSessionStatusSucceeded, LivenessSessionStatusFailed, LivenessSessionStatusExpired, } } const ( // MediaAnalysisJobFailureCodeInternalError is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeInternalError = "INTERNAL_ERROR" // MediaAnalysisJobFailureCodeInvalidS3Object is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeInvalidS3Object = "INVALID_S3_OBJECT" // MediaAnalysisJobFailureCodeInvalidManifest is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeInvalidManifest = "INVALID_MANIFEST" // MediaAnalysisJobFailureCodeInvalidOutputConfig is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeInvalidOutputConfig = "INVALID_OUTPUT_CONFIG" // MediaAnalysisJobFailureCodeInvalidKmsKey is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeInvalidKmsKey = "INVALID_KMS_KEY" // MediaAnalysisJobFailureCodeAccessDenied is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeAccessDenied = "ACCESS_DENIED" // MediaAnalysisJobFailureCodeResourceNotFound is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeResourceNotFound = "RESOURCE_NOT_FOUND" // MediaAnalysisJobFailureCodeResourceNotReady is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeResourceNotReady = "RESOURCE_NOT_READY" // MediaAnalysisJobFailureCodeThrottled is a MediaAnalysisJobFailureCode enum value MediaAnalysisJobFailureCodeThrottled = "THROTTLED" ) // MediaAnalysisJobFailureCode_Values returns all elements of the MediaAnalysisJobFailureCode enum func MediaAnalysisJobFailureCode_Values() []string { return []string{ MediaAnalysisJobFailureCodeInternalError, MediaAnalysisJobFailureCodeInvalidS3Object, MediaAnalysisJobFailureCodeInvalidManifest, MediaAnalysisJobFailureCodeInvalidOutputConfig, MediaAnalysisJobFailureCodeInvalidKmsKey, MediaAnalysisJobFailureCodeAccessDenied, MediaAnalysisJobFailureCodeResourceNotFound, MediaAnalysisJobFailureCodeResourceNotReady, MediaAnalysisJobFailureCodeThrottled, } } const ( // MediaAnalysisJobStatusCreated is a MediaAnalysisJobStatus enum value MediaAnalysisJobStatusCreated = "CREATED" // MediaAnalysisJobStatusQueued is a MediaAnalysisJobStatus enum value MediaAnalysisJobStatusQueued = "QUEUED" // MediaAnalysisJobStatusInProgress is a MediaAnalysisJobStatus enum value MediaAnalysisJobStatusInProgress = "IN_PROGRESS" // MediaAnalysisJobStatusSucceeded is a MediaAnalysisJobStatus enum value MediaAnalysisJobStatusSucceeded = "SUCCEEDED" // MediaAnalysisJobStatusFailed is a MediaAnalysisJobStatus enum value MediaAnalysisJobStatusFailed = "FAILED" ) // MediaAnalysisJobStatus_Values returns all elements of the MediaAnalysisJobStatus enum func MediaAnalysisJobStatus_Values() []string { return []string{ MediaAnalysisJobStatusCreated, MediaAnalysisJobStatusQueued, MediaAnalysisJobStatusInProgress, MediaAnalysisJobStatusSucceeded, MediaAnalysisJobStatusFailed, } } const ( // OrientationCorrectionRotate0 is a OrientationCorrection enum value OrientationCorrectionRotate0 = "ROTATE_0" // OrientationCorrectionRotate90 is a OrientationCorrection enum value OrientationCorrectionRotate90 = "ROTATE_90" // OrientationCorrectionRotate180 is a OrientationCorrection enum value OrientationCorrectionRotate180 = "ROTATE_180" // OrientationCorrectionRotate270 is a OrientationCorrection enum value OrientationCorrectionRotate270 = "ROTATE_270" ) // OrientationCorrection_Values returns all elements of the OrientationCorrection enum func OrientationCorrection_Values() []string { return []string{ OrientationCorrectionRotate0, OrientationCorrectionRotate90, OrientationCorrectionRotate180, OrientationCorrectionRotate270, } } const ( // PersonTrackingSortByIndex is a PersonTrackingSortBy enum value PersonTrackingSortByIndex = "INDEX" // PersonTrackingSortByTimestamp is a PersonTrackingSortBy enum value PersonTrackingSortByTimestamp = "TIMESTAMP" ) // PersonTrackingSortBy_Values returns all elements of the PersonTrackingSortBy enum func PersonTrackingSortBy_Values() []string { return []string{ PersonTrackingSortByIndex, PersonTrackingSortByTimestamp, } } const ( // ProjectAutoUpdateEnabled is a ProjectAutoUpdate enum value ProjectAutoUpdateEnabled = "ENABLED" // ProjectAutoUpdateDisabled is a ProjectAutoUpdate enum value ProjectAutoUpdateDisabled = "DISABLED" ) // ProjectAutoUpdate_Values returns all elements of the ProjectAutoUpdate enum func ProjectAutoUpdate_Values() []string { return []string{ ProjectAutoUpdateEnabled, ProjectAutoUpdateDisabled, } } const ( // ProjectStatusCreating is a ProjectStatus enum value ProjectStatusCreating = "CREATING" // ProjectStatusCreated is a ProjectStatus enum value ProjectStatusCreated = "CREATED" // ProjectStatusDeleting is a ProjectStatus enum value ProjectStatusDeleting = "DELETING" ) // ProjectStatus_Values returns all elements of the ProjectStatus enum func ProjectStatus_Values() []string { return []string{ ProjectStatusCreating, ProjectStatusCreated, ProjectStatusDeleting, } } const ( // ProjectVersionStatusTrainingInProgress is a ProjectVersionStatus enum value ProjectVersionStatusTrainingInProgress = "TRAINING_IN_PROGRESS" // ProjectVersionStatusTrainingCompleted is a ProjectVersionStatus enum value ProjectVersionStatusTrainingCompleted = "TRAINING_COMPLETED" // ProjectVersionStatusTrainingFailed is a ProjectVersionStatus enum value ProjectVersionStatusTrainingFailed = "TRAINING_FAILED" // ProjectVersionStatusStarting is a ProjectVersionStatus enum value ProjectVersionStatusStarting = "STARTING" // ProjectVersionStatusRunning is a ProjectVersionStatus enum value ProjectVersionStatusRunning = "RUNNING" // ProjectVersionStatusFailed is a ProjectVersionStatus enum value ProjectVersionStatusFailed = "FAILED" // ProjectVersionStatusStopping is a ProjectVersionStatus enum value ProjectVersionStatusStopping = "STOPPING" // ProjectVersionStatusStopped is a ProjectVersionStatus enum value ProjectVersionStatusStopped = "STOPPED" // ProjectVersionStatusDeleting is a ProjectVersionStatus enum value ProjectVersionStatusDeleting = "DELETING" // ProjectVersionStatusCopyingInProgress is a ProjectVersionStatus enum value ProjectVersionStatusCopyingInProgress = "COPYING_IN_PROGRESS" // ProjectVersionStatusCopyingCompleted is a ProjectVersionStatus enum value ProjectVersionStatusCopyingCompleted = "COPYING_COMPLETED" // ProjectVersionStatusCopyingFailed is a ProjectVersionStatus enum value ProjectVersionStatusCopyingFailed = "COPYING_FAILED" // ProjectVersionStatusDeprecated is a ProjectVersionStatus enum value ProjectVersionStatusDeprecated = "DEPRECATED" // ProjectVersionStatusExpired is a ProjectVersionStatus enum value ProjectVersionStatusExpired = "EXPIRED" ) // ProjectVersionStatus_Values returns all elements of the ProjectVersionStatus enum func ProjectVersionStatus_Values() []string { return []string{ ProjectVersionStatusTrainingInProgress, ProjectVersionStatusTrainingCompleted, ProjectVersionStatusTrainingFailed, ProjectVersionStatusStarting, ProjectVersionStatusRunning, ProjectVersionStatusFailed, ProjectVersionStatusStopping, ProjectVersionStatusStopped, ProjectVersionStatusDeleting, ProjectVersionStatusCopyingInProgress, ProjectVersionStatusCopyingCompleted, ProjectVersionStatusCopyingFailed, ProjectVersionStatusDeprecated, ProjectVersionStatusExpired, } } const ( // ProtectiveEquipmentTypeFaceCover is a ProtectiveEquipmentType enum value ProtectiveEquipmentTypeFaceCover = "FACE_COVER" // ProtectiveEquipmentTypeHandCover is a ProtectiveEquipmentType enum value ProtectiveEquipmentTypeHandCover = "HAND_COVER" // ProtectiveEquipmentTypeHeadCover is a ProtectiveEquipmentType enum value ProtectiveEquipmentTypeHeadCover = "HEAD_COVER" ) // ProtectiveEquipmentType_Values returns all elements of the ProtectiveEquipmentType enum func ProtectiveEquipmentType_Values() []string { return []string{ ProtectiveEquipmentTypeFaceCover, ProtectiveEquipmentTypeHandCover, ProtectiveEquipmentTypeHeadCover, } } const ( // QualityFilterNone is a QualityFilter enum value QualityFilterNone = "NONE" // QualityFilterAuto is a QualityFilter enum value QualityFilterAuto = "AUTO" // QualityFilterLow is a QualityFilter enum value QualityFilterLow = "LOW" // QualityFilterMedium is a QualityFilter enum value QualityFilterMedium = "MEDIUM" // QualityFilterHigh is a QualityFilter enum value QualityFilterHigh = "HIGH" ) // QualityFilter_Values returns all elements of the QualityFilter enum func QualityFilter_Values() []string { return []string{ QualityFilterNone, QualityFilterAuto, QualityFilterLow, QualityFilterMedium, QualityFilterHigh, } } const ( // ReasonExceedsMaxFaces is a Reason enum value ReasonExceedsMaxFaces = "EXCEEDS_MAX_FACES" // ReasonExtremePose is a Reason enum value ReasonExtremePose = "EXTREME_POSE" // ReasonLowBrightness is a Reason enum value ReasonLowBrightness = "LOW_BRIGHTNESS" // ReasonLowSharpness is a Reason enum value ReasonLowSharpness = "LOW_SHARPNESS" // ReasonLowConfidence is a Reason enum value ReasonLowConfidence = "LOW_CONFIDENCE" // ReasonSmallBoundingBox is a Reason enum value ReasonSmallBoundingBox = "SMALL_BOUNDING_BOX" // ReasonLowFaceQuality is a Reason enum value ReasonLowFaceQuality = "LOW_FACE_QUALITY" ) // Reason_Values returns all elements of the Reason enum func Reason_Values() []string { return []string{ ReasonExceedsMaxFaces, ReasonExtremePose, ReasonLowBrightness, ReasonLowSharpness, ReasonLowConfidence, ReasonSmallBoundingBox, ReasonLowFaceQuality, } } const ( // SegmentTypeTechnicalCue is a SegmentType enum value SegmentTypeTechnicalCue = "TECHNICAL_CUE" // SegmentTypeShot is a SegmentType enum value SegmentTypeShot = "SHOT" ) // SegmentType_Values returns all elements of the SegmentType enum func SegmentType_Values() []string { return []string{ SegmentTypeTechnicalCue, SegmentTypeShot, } } const ( // StreamProcessorParameterToDeleteConnectedHomeMinConfidence is a StreamProcessorParameterToDelete enum value StreamProcessorParameterToDeleteConnectedHomeMinConfidence = "ConnectedHomeMinConfidence" // StreamProcessorParameterToDeleteRegionsOfInterest is a StreamProcessorParameterToDelete enum value StreamProcessorParameterToDeleteRegionsOfInterest = "RegionsOfInterest" ) // StreamProcessorParameterToDelete_Values returns all elements of the StreamProcessorParameterToDelete enum func StreamProcessorParameterToDelete_Values() []string { return []string{ StreamProcessorParameterToDeleteConnectedHomeMinConfidence, StreamProcessorParameterToDeleteRegionsOfInterest, } } const ( // StreamProcessorStatusStopped is a StreamProcessorStatus enum value StreamProcessorStatusStopped = "STOPPED" // StreamProcessorStatusStarting is a StreamProcessorStatus enum value StreamProcessorStatusStarting = "STARTING" // StreamProcessorStatusRunning is a StreamProcessorStatus enum value StreamProcessorStatusRunning = "RUNNING" // StreamProcessorStatusFailed is a StreamProcessorStatus enum value StreamProcessorStatusFailed = "FAILED" // StreamProcessorStatusStopping is a StreamProcessorStatus enum value StreamProcessorStatusStopping = "STOPPING" // StreamProcessorStatusUpdating is a StreamProcessorStatus enum value StreamProcessorStatusUpdating = "UPDATING" ) // StreamProcessorStatus_Values returns all elements of the StreamProcessorStatus enum func StreamProcessorStatus_Values() []string { return []string{ StreamProcessorStatusStopped, StreamProcessorStatusStarting, StreamProcessorStatusRunning, StreamProcessorStatusFailed, StreamProcessorStatusStopping, StreamProcessorStatusUpdating, } } const ( // TechnicalCueTypeColorBars is a TechnicalCueType enum value TechnicalCueTypeColorBars = "ColorBars" // TechnicalCueTypeEndCredits is a TechnicalCueType enum value TechnicalCueTypeEndCredits = "EndCredits" // TechnicalCueTypeBlackFrames is a TechnicalCueType enum value TechnicalCueTypeBlackFrames = "BlackFrames" // TechnicalCueTypeOpeningCredits is a TechnicalCueType enum value TechnicalCueTypeOpeningCredits = "OpeningCredits" // TechnicalCueTypeStudioLogo is a TechnicalCueType enum value TechnicalCueTypeStudioLogo = "StudioLogo" // TechnicalCueTypeSlate is a TechnicalCueType enum value TechnicalCueTypeSlate = "Slate" // TechnicalCueTypeContent is a TechnicalCueType enum value TechnicalCueTypeContent = "Content" ) // TechnicalCueType_Values returns all elements of the TechnicalCueType enum func TechnicalCueType_Values() []string { return []string{ TechnicalCueTypeColorBars, TechnicalCueTypeEndCredits, TechnicalCueTypeBlackFrames, TechnicalCueTypeOpeningCredits, TechnicalCueTypeStudioLogo, TechnicalCueTypeSlate, TechnicalCueTypeContent, } } const ( // TextTypesLine is a TextTypes enum value TextTypesLine = "LINE" // TextTypesWord is a TextTypes enum value TextTypesWord = "WORD" ) // TextTypes_Values returns all elements of the TextTypes enum func TextTypes_Values() []string { return []string{ TextTypesLine, TextTypesWord, } } const ( // UnsearchedFaceReasonFaceNotLargest is a UnsearchedFaceReason enum value UnsearchedFaceReasonFaceNotLargest = "FACE_NOT_LARGEST" // UnsearchedFaceReasonExceedsMaxFaces is a UnsearchedFaceReason enum value UnsearchedFaceReasonExceedsMaxFaces = "EXCEEDS_MAX_FACES" // UnsearchedFaceReasonExtremePose is a UnsearchedFaceReason enum value UnsearchedFaceReasonExtremePose = "EXTREME_POSE" // UnsearchedFaceReasonLowBrightness is a UnsearchedFaceReason enum value UnsearchedFaceReasonLowBrightness = "LOW_BRIGHTNESS" // UnsearchedFaceReasonLowSharpness is a UnsearchedFaceReason enum value UnsearchedFaceReasonLowSharpness = "LOW_SHARPNESS" // UnsearchedFaceReasonLowConfidence is a UnsearchedFaceReason enum value UnsearchedFaceReasonLowConfidence = "LOW_CONFIDENCE" // UnsearchedFaceReasonSmallBoundingBox is a UnsearchedFaceReason enum value UnsearchedFaceReasonSmallBoundingBox = "SMALL_BOUNDING_BOX" // UnsearchedFaceReasonLowFaceQuality is a UnsearchedFaceReason enum value UnsearchedFaceReasonLowFaceQuality = "LOW_FACE_QUALITY" ) // UnsearchedFaceReason_Values returns all elements of the UnsearchedFaceReason enum func UnsearchedFaceReason_Values() []string { return []string{ UnsearchedFaceReasonFaceNotLargest, UnsearchedFaceReasonExceedsMaxFaces, UnsearchedFaceReasonExtremePose, UnsearchedFaceReasonLowBrightness, UnsearchedFaceReasonLowSharpness, UnsearchedFaceReasonLowConfidence, UnsearchedFaceReasonSmallBoundingBox, UnsearchedFaceReasonLowFaceQuality, } } const ( // UnsuccessfulFaceAssociationReasonFaceNotFound is a UnsuccessfulFaceAssociationReason enum value UnsuccessfulFaceAssociationReasonFaceNotFound = "FACE_NOT_FOUND" // UnsuccessfulFaceAssociationReasonAssociatedToADifferentUser is a UnsuccessfulFaceAssociationReason enum value UnsuccessfulFaceAssociationReasonAssociatedToADifferentUser = "ASSOCIATED_TO_A_DIFFERENT_USER" // UnsuccessfulFaceAssociationReasonLowMatchConfidence is a UnsuccessfulFaceAssociationReason enum value UnsuccessfulFaceAssociationReasonLowMatchConfidence = "LOW_MATCH_CONFIDENCE" ) // UnsuccessfulFaceAssociationReason_Values returns all elements of the UnsuccessfulFaceAssociationReason enum func UnsuccessfulFaceAssociationReason_Values() []string { return []string{ UnsuccessfulFaceAssociationReasonFaceNotFound, UnsuccessfulFaceAssociationReasonAssociatedToADifferentUser, UnsuccessfulFaceAssociationReasonLowMatchConfidence, } } const ( // UnsuccessfulFaceDeletionReasonAssociatedToAnExistingUser is a UnsuccessfulFaceDeletionReason enum value UnsuccessfulFaceDeletionReasonAssociatedToAnExistingUser = "ASSOCIATED_TO_AN_EXISTING_USER" // UnsuccessfulFaceDeletionReasonFaceNotFound is a UnsuccessfulFaceDeletionReason enum value UnsuccessfulFaceDeletionReasonFaceNotFound = "FACE_NOT_FOUND" ) // UnsuccessfulFaceDeletionReason_Values returns all elements of the UnsuccessfulFaceDeletionReason enum func UnsuccessfulFaceDeletionReason_Values() []string { return []string{ UnsuccessfulFaceDeletionReasonAssociatedToAnExistingUser, UnsuccessfulFaceDeletionReasonFaceNotFound, } } const ( // UnsuccessfulFaceDisassociationReasonFaceNotFound is a UnsuccessfulFaceDisassociationReason enum value UnsuccessfulFaceDisassociationReasonFaceNotFound = "FACE_NOT_FOUND" // UnsuccessfulFaceDisassociationReasonAssociatedToADifferentUser is a UnsuccessfulFaceDisassociationReason enum value UnsuccessfulFaceDisassociationReasonAssociatedToADifferentUser = "ASSOCIATED_TO_A_DIFFERENT_USER" ) // UnsuccessfulFaceDisassociationReason_Values returns all elements of the UnsuccessfulFaceDisassociationReason enum func UnsuccessfulFaceDisassociationReason_Values() []string { return []string{ UnsuccessfulFaceDisassociationReasonFaceNotFound, UnsuccessfulFaceDisassociationReasonAssociatedToADifferentUser, } } const ( // UserStatusActive is a UserStatus enum value UserStatusActive = "ACTIVE" // UserStatusUpdating is a UserStatus enum value UserStatusUpdating = "UPDATING" // UserStatusCreating is a UserStatus enum value UserStatusCreating = "CREATING" // UserStatusCreated is a UserStatus enum value UserStatusCreated = "CREATED" ) // UserStatus_Values returns all elements of the UserStatus enum func UserStatus_Values() []string { return []string{ UserStatusActive, UserStatusUpdating, UserStatusCreating, UserStatusCreated, } } const ( // VideoColorRangeFull is a VideoColorRange enum value VideoColorRangeFull = "FULL" // VideoColorRangeLimited is a VideoColorRange enum value VideoColorRangeLimited = "LIMITED" ) // VideoColorRange_Values returns all elements of the VideoColorRange enum func VideoColorRange_Values() []string { return []string{ VideoColorRangeFull, VideoColorRangeLimited, } } const ( // VideoJobStatusInProgress is a VideoJobStatus enum value VideoJobStatusInProgress = "IN_PROGRESS" // VideoJobStatusSucceeded is a VideoJobStatus enum value VideoJobStatusSucceeded = "SUCCEEDED" // VideoJobStatusFailed is a VideoJobStatus enum value VideoJobStatusFailed = "FAILED" ) // VideoJobStatus_Values returns all elements of the VideoJobStatus enum func VideoJobStatus_Values() []string { return []string{ VideoJobStatusInProgress, VideoJobStatusSucceeded, VideoJobStatusFailed, } }	1.08 MB	2025-05-25 12:27
📄 doc.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. // Package rekognition provides the client and types for making API // requests to Amazon Rekognition. // // This is the API Reference for Amazon Rekognition Image (https://docs.aws.amazon.com/rekognition/latest/dg/images.html), // Amazon Rekognition Custom Labels (https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html), // Amazon Rekognition Stored Video (https://docs.aws.amazon.com/rekognition/latest/dg/video.html), // Amazon Rekognition Streaming Video (https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html). // It provides descriptions of actions, data types, common parameters, and common // errors. // // Amazon Rekognition Image // // - AssociateFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_AssociateFaces.html) // // - CompareFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CompareFaces.html) // // - CreateCollection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateCollection.html) // // - CreateUser (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateUser.html) // // - DeleteCollection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteCollection.html) // // - DeleteFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteFaces.html) // // - DeleteUser (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteUser.html) // // - DescribeCollection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeCollection.html) // // - DetectFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectFaces.html) // // - DetectLabels (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectLabels.html) // // - DetectModerationLabels (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectModerationLabels.html) // // - DetectProtectiveEquipment (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectProtectiveEquipment.html) // // - DetectText (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectText.html) // // - DisassociateFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DisassociateFaces.html) // // - GetCelebrityInfo (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetCelebrityInfo.html) // // - GetMediaAnalysisJob (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetMediaAnalysisJob.html) // // - IndexFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_IndexFaces.html) // // - ListCollections (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListCollections.html) // // - ListMediaAnalysisJob (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListMediaAnalysisJob.html) // // - ListFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListFaces.html) // // - ListUsers (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListFaces.html) // // - RecognizeCelebrities (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_RecognizeCelebrities.html) // // - SearchFaces (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_SearchFaces.html) // // - SearchFacesByImage (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_SearchFacesByImage.html) // // - SearchUsers (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_SearchUsers.html) // // - SearchUsersByImage (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_SearchUsersByImage.html) // // - StartMediaAnalysisJob (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartMediaAnalysisJob.html) // // Amazon Rekognition Custom Labels // // - CopyProjectVersion (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CopyProjectVersion.html) // // - CreateDataset (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateDataset.html) // // - CreateProject (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateProject.html) // // - CreateProjectVersion (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateProjectVersion.html) // // - DeleteDataset (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteDataset.html) // // - DeleteProject (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteProject.html) // // - DeleteProjectPolicy (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteProjectPolicy.html) // // - DeleteProjectVersion (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteProjectVersion.html) // // - DescribeDataset (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeDataset.html) // // - DescribeProjects (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeProjects.html) // // - DescribeProjectVersions (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeProjectVersions.html) // // - DetectCustomLabels (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectCustomLabels.html) // // - DistributeDatasetEntries (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DistributeDatasetEntries.html) // // - ListDatasetEntries (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListDatasetEntries.html) // // - ListDatasetLabels (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListDatasetLabels.html) // // - ListProjectPolicies (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListProjectPolicies.html) // // - PutProjectPolicy (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_PutProjectPolicy.html) // // - StartProjectVersion (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartProjectVersion.html) // // - StopProjectVersion (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopProjectVersion.html) // // - UpdateDatasetEntries (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_UpdateDatasetEntries.html) // // Amazon Rekognition Video Stored Video // // - GetCelebrityRecognition (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetCelebrityRecognition.html) // // - GetContentModeration (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetContentModeration.html) // // - GetFaceDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetFaceDetection.html) // // - GetFaceSearch (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetFaceSearch.html) // // - GetLabelDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetLabelDetection.html) // // - GetPersonTracking (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetPersonTracking.html) // // - GetSegmentDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetSegmentDetection.html) // // - GetTextDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_GetTextDetection.html) // // - StartCelebrityRecognition (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartCelebrityRecognition.html) // // - StartContentModeration (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartContentModeration.html) // // - StartFaceDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartFaceDetection.html) // // - StartFaceSearch (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartFaceSearch.html) // // - StartLabelDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartLabelDetection.html) // // - StartPersonTracking (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartPersonTracking.html) // // - StartSegmentDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartSegmentDetection.html) // // - StartTextDetection (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartTextDetection.html) // // Amazon Rekognition Video Streaming Video // // - CreateStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateStreamProcessor.html) // // - DeleteStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteStreamProcessor.html) // // - DescribeStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeStreamProcessor.html) // // - ListStreamProcessors (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListStreamProcessors.html) // // - StartStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StartStreamProcessor.html) // // - StopStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopStreamProcessor.html) // // - UpdateStreamProcessor (https://docs.aws.amazon.com/rekognition/latest/APIReference/API_UpdateStreamProcessor.html) // // See rekognition package documentation for more information. // https://docs.aws.amazon.com/sdk-for-go/api/service/rekognition/ // // # Using the Client // // To contact Amazon Rekognition with the SDK use the New function to create // a new service client. With that client you can make API requests to the service. // These clients are safe to use concurrently. // // See the SDK's documentation for more information on how to use the SDK. // https://docs.aws.amazon.com/sdk-for-go/api/ // // See aws.Config documentation for more information on configuring SDK clients. // https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config // // See the Amazon Rekognition client Rekognition for more // information on creating client for this service. // https://docs.aws.amazon.com/sdk-for-go/api/service/rekognition/#New package rekognition	9.69 KB	2025-05-25 12:27
📄 errors.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. package rekognition import ( "github.com/aws/aws-sdk-go/private/protocol" ) const ( // ErrCodeAccessDeniedException for service response error code // "AccessDeniedException". // // You are not authorized to perform the action. ErrCodeAccessDeniedException = "AccessDeniedException" // ErrCodeConflictException for service response error code // "ConflictException". // // A User with the same Id already exists within the collection, or the update // or deletion of the User caused an inconsistent state. ** ErrCodeConflictException = "ConflictException" // ErrCodeHumanLoopQuotaExceededException for service response error code // "HumanLoopQuotaExceededException". // // The number of in-progress human reviews you have has exceeded the number // allowed. ErrCodeHumanLoopQuotaExceededException = "HumanLoopQuotaExceededException" // ErrCodeIdempotentParameterMismatchException for service response error code // "IdempotentParameterMismatchException". // // A ClientRequestToken input parameter was reused with an operation, but at // least one of the other input parameters is different from the previous call // to the operation. ErrCodeIdempotentParameterMismatchException = "IdempotentParameterMismatchException" // ErrCodeImageTooLargeException for service response error code // "ImageTooLargeException". // // The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, // the image size or resolution exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. ErrCodeImageTooLargeException = "ImageTooLargeException" // ErrCodeInternalServerError for service response error code // "InternalServerError". // // Amazon Rekognition experienced a service issue. Try your call again. ErrCodeInternalServerError = "InternalServerError" // ErrCodeInvalidImageFormatException for service response error code // "InvalidImageFormatException". // // The provided image format is not supported. ErrCodeInvalidImageFormatException = "InvalidImageFormatException" // ErrCodeInvalidManifestException for service response error code // "InvalidManifestException". // // Indicates that a provided manifest file is empty or larger than the allowed // limit. ErrCodeInvalidManifestException = "InvalidManifestException" // ErrCodeInvalidPaginationTokenException for service response error code // "InvalidPaginationTokenException". // // Pagination token in the request is not valid. ErrCodeInvalidPaginationTokenException = "InvalidPaginationTokenException" // ErrCodeInvalidParameterException for service response error code // "InvalidParameterException". // // Input parameter violated a constraint. Validate your parameter before calling // the API operation again. ErrCodeInvalidParameterException = "InvalidParameterException" // ErrCodeInvalidPolicyRevisionIdException for service response error code // "InvalidPolicyRevisionIdException". // // The supplied revision id for the project policy is invalid. ErrCodeInvalidPolicyRevisionIdException = "InvalidPolicyRevisionIdException" // ErrCodeInvalidS3ObjectException for service response error code // "InvalidS3ObjectException". // // Amazon Rekognition is unable to access the S3 object specified in the request. ErrCodeInvalidS3ObjectException = "InvalidS3ObjectException" // ErrCodeLimitExceededException for service response error code // "LimitExceededException". // // An Amazon Rekognition service limit was exceeded. For example, if you start // too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) // will raise a LimitExceededException exception (HTTP status code: 400) until // the number of concurrently running jobs is below the Amazon Rekognition service // limit. ErrCodeLimitExceededException = "LimitExceededException" // ErrCodeMalformedPolicyDocumentException for service response error code // "MalformedPolicyDocumentException". // // The format of the project policy document that you supplied to PutProjectPolicy // is incorrect. ErrCodeMalformedPolicyDocumentException = "MalformedPolicyDocumentException" // ErrCodeProvisionedThroughputExceededException for service response error code // "ProvisionedThroughputExceededException". // // The number of requests exceeded your throughput limit. If you want to increase // this limit, contact Amazon Rekognition. ErrCodeProvisionedThroughputExceededException = "ProvisionedThroughputExceededException" // ErrCodeResourceAlreadyExistsException for service response error code // "ResourceAlreadyExistsException". // // A resource with the specified ID already exists. ErrCodeResourceAlreadyExistsException = "ResourceAlreadyExistsException" // ErrCodeResourceInUseException for service response error code // "ResourceInUseException". // // The specified resource is already being used. ErrCodeResourceInUseException = "ResourceInUseException" // ErrCodeResourceNotFoundException for service response error code // "ResourceNotFoundException". // // The resource specified in the request cannot be found. ErrCodeResourceNotFoundException = "ResourceNotFoundException" // ErrCodeResourceNotReadyException for service response error code // "ResourceNotReadyException". // // The requested resource isn't ready. For example, this exception occurs when // you call DetectCustomLabels with a model version that isn't deployed. ErrCodeResourceNotReadyException = "ResourceNotReadyException" // ErrCodeServiceQuotaExceededException for service response error code // "ServiceQuotaExceededException". // // // The size of the collection exceeds the allowed limit. For more information, // see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition // Developer Guide. ErrCodeServiceQuotaExceededException = "ServiceQuotaExceededException" // ErrCodeSessionNotFoundException for service response error code // "SessionNotFoundException". // // Occurs when a given sessionId is not found. ErrCodeSessionNotFoundException = "SessionNotFoundException" // ErrCodeThrottlingException for service response error code // "ThrottlingException". // // Amazon Rekognition is temporarily unable to process the request. Try your // call again. ErrCodeThrottlingException = "ThrottlingException" // ErrCodeVideoTooLargeException for service response error code // "VideoTooLargeException". // // The file size or duration of the supplied media is too large. The maximum // file size is 10GB. The maximum duration is 6 hours. ErrCodeVideoTooLargeException = "VideoTooLargeException" ) var exceptionFromCode = map[string]func(protocol.ResponseMetadata) error{ "AccessDeniedException": newErrorAccessDeniedException, "ConflictException": newErrorConflictException, "HumanLoopQuotaExceededException": newErrorHumanLoopQuotaExceededException, "IdempotentParameterMismatchException": newErrorIdempotentParameterMismatchException, "ImageTooLargeException": newErrorImageTooLargeException, "InternalServerError": newErrorInternalServerError, "InvalidImageFormatException": newErrorInvalidImageFormatException, "InvalidManifestException": newErrorInvalidManifestException, "InvalidPaginationTokenException": newErrorInvalidPaginationTokenException, "InvalidParameterException": newErrorInvalidParameterException, "InvalidPolicyRevisionIdException": newErrorInvalidPolicyRevisionIdException, "InvalidS3ObjectException": newErrorInvalidS3ObjectException, "LimitExceededException": newErrorLimitExceededException, "MalformedPolicyDocumentException": newErrorMalformedPolicyDocumentException, "ProvisionedThroughputExceededException": newErrorProvisionedThroughputExceededException, "ResourceAlreadyExistsException": newErrorResourceAlreadyExistsException, "ResourceInUseException": newErrorResourceInUseException, "ResourceNotFoundException": newErrorResourceNotFoundException, "ResourceNotReadyException": newErrorResourceNotReadyException, "ServiceQuotaExceededException": newErrorServiceQuotaExceededException, "SessionNotFoundException": newErrorSessionNotFoundException, "ThrottlingException": newErrorThrottlingException, "VideoTooLargeException": newErrorVideoTooLargeException, }	8.48 KB	2025-05-25 12:27
📄 examples_test.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. package rekognition_test import ( "fmt" "strings" "time" "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/aws/awserr" "github.com/aws/aws-sdk-go/aws/session" "github.com/aws/aws-sdk-go/service/rekognition" ) var _ time.Duration var _ strings.Reader var _ aws.Config func parseTime(layout, value string) time.Time { t, err := time.Parse(layout, value) if err != nil { panic(err) } return &t } // AssociateFaces // This operation associates one or more faces with an existing UserID. func ExampleRekognition_AssociateFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.AssociateFacesInput{ ClientRequestToken: aws.String("550e8400-e29b-41d4-a716-446655440002"), CollectionId: aws.String("MyCollection"), FaceIds: []string{ aws.String("f5817d37-94f6-4335-bfee-6cf79a3d806e"), aws.String("851cb847-dccc-4fea-9309-9f4805967855"), aws.String("35ebbb41-7f67-4263-908d-dd0ecba05ab9"), }, UserId: aws.String("DemoUser"), UserMatchThreshold: aws.Float64(70.000000), } result, err := svc.AssociateFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeIdempotentParameterMismatchException: fmt.Println(rekognition.ErrCodeIdempotentParameterMismatchException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeConflictException: fmt.Println(rekognition.ErrCodeConflictException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To compare two images // This operation compares the largest face detected in the source image with each face // detected in the target image. func ExampleRekognition_CompareFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CompareFacesInput{ SimilarityThreshold: aws.Float64(90.000000), SourceImage: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("mysourceimage"), }, }, TargetImage: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("mytargetimage"), }, }, } result, err := svc.CompareFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // CopyProjectVersion // Copies a version of an Amazon Rekognition Custom Labels model from a source project // to a destination project. func ExampleRekognition_CopyProjectVersion_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CopyProjectVersionInput{ DestinationProjectArn: aws.String("arn:aws:rekognition:us-east-1:555555555555:project/DestinationProject/1656705098765"), KmsKeyId: aws.String("arn:1234abcd-12ab-34cd-56ef-1234567890ab"), OutputConfig: &rekognition.OutputConfig{ S3Bucket: aws.String("bucket-name"), S3KeyPrefix: aws.String("path_to_folder"), }, SourceProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/SourceProject/16565123456"), SourceProjectVersionArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/SourceProject/version/model_1/1656611123456"), Tags: map[string]string{ "key1": aws.String("val1"), }, VersionName: aws.String("DestinationVersionName_cross_account"), } result, err := svc.CopyProjectVersion(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To create a collection // This operation creates a Rekognition collection for storing image data. func ExampleRekognition_CreateCollection_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CreateCollectionInput{ CollectionId: aws.String("myphotos"), } result, err := svc.CreateCollection(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceAlreadyExistsException: fmt.Println(rekognition.ErrCodeResourceAlreadyExistsException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To create an Amazon Rekognition Custom Labels dataset // Creates an Amazon Rekognition Custom Labels dataset with a manifest file stored in // an Amazon S3 bucket. func ExampleRekognition_CreateDataset_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CreateDatasetInput{ DatasetSource: &rekognition.DatasetSource{ GroundTruthManifest: &rekognition.GroundTruthManifest{ S3Object: &rekognition.S3Object{ Bucket: aws.String("my-bucket"), Name: aws.String("datasets/flowers_training/manifests/output/output.manifest"), }, }, }, DatasetType: aws.String("TRAIN"), ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/1690474772815"), } result, err := svc.CreateDataset(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeResourceAlreadyExistsException: fmt.Println(rekognition.ErrCodeResourceAlreadyExistsException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To create an Amazon Rekognition Custom Labels project // Creates an Amazon Rekognition Custom Labels project. func ExampleRekognition_CreateProject_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CreateProjectInput{ ProjectName: aws.String("my-project"), } result, err := svc.CreateProject(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To train an Amazon Rekognition Custom Labels model // Trains a version of an Amazon Rekognition Custom Labels model. func ExampleRekognition_CreateProjectVersion_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CreateProjectVersionInput{ OutputConfig: &rekognition.OutputConfig{ S3Bucket: aws.String("output_bucket"), S3KeyPrefix: aws.String("output_folder"), }, ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/1690474772815"), VersionName: aws.String("1"), } result, err := svc.CreateProjectVersion(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // CreateUser // Creates a new User within a collection specified by CollectionId. func ExampleRekognition_CreateUser_shared00() { svc := rekognition.New(session.New()) input := &rekognition.CreateUserInput{ CollectionId: aws.String("MyCollection"), UserId: aws.String("DemoUser"), } result, err := svc.CreateUser(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeConflictException: fmt.Println(rekognition.ErrCodeConflictException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeIdempotentParameterMismatchException: fmt.Println(rekognition.ErrCodeIdempotentParameterMismatchException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete a collection // This operation deletes a Rekognition collection. func ExampleRekognition_DeleteCollection_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteCollectionInput{ CollectionId: aws.String("myphotos"), } result, err := svc.DeleteCollection(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete an Amazon Rekognition Custom Labels dataset // Deletes an Amazon Rekognition Custom Labels dataset. func ExampleRekognition_DeleteDataset_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteDatasetInput{ DatasetArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/dataset/test/1690556733321"), } result, err := svc.DeleteDataset(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete a face // This operation deletes one or more faces from a Rekognition collection. func ExampleRekognition_DeleteFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteFacesInput{ CollectionId: aws.String("myphotos"), FaceIds: []string{ aws.String("ff43d742-0c13-5d16-a3e8-03d3f58e980b"), }, } result, err := svc.DeleteFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete an Amazon Rekognition Custom Labels project // Deletes an Amazon Rekognition Custom Labels projects. func ExampleRekognition_DeleteProject_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteProjectInput{ ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/1690405809285"), } result, err := svc.DeleteProject(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // DeleteProjectPolicy // This operation deletes a revision of an existing project policy from an Amazon Rekognition // Custom Labels project. func ExampleRekognition_DeleteProjectPolicy_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteProjectPolicyInput{ PolicyName: aws.String("testPolicy1"), PolicyRevisionId: aws.String("3b274c25e9203a56a99e00e3ff205fbc"), ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/SourceProject/1656557123456"), } result, err := svc.DeleteProjectPolicy(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidPolicyRevisionIdException: fmt.Println(rekognition.ErrCodeInvalidPolicyRevisionIdException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete an Amazon Rekognition Custom Labels model // Deletes a version of an Amazon Rekognition Custom Labels model. func ExampleRekognition_DeleteProjectVersion_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteProjectVersionInput{ ProjectVersionArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958"), } result, err := svc.DeleteProjectVersion(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // DeleteUser // Deletes the specified UserID within the collection. func ExampleRekognition_DeleteUser_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DeleteUserInput{ ClientRequestToken: aws.String("550e8400-e29b-41d4-a716-446655440001"), CollectionId: aws.String("MyCollection"), UserId: aws.String("DemoUser"), } result, err := svc.DeleteUser(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeConflictException: fmt.Println(rekognition.ErrCodeConflictException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeIdempotentParameterMismatchException: fmt.Println(rekognition.ErrCodeIdempotentParameterMismatchException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To describe an Amazon Rekognition Custom Labels dataset // Describes an Amazon Rekognition Custom Labels dataset. func ExampleRekognition_DescribeDataset_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DescribeDatasetInput{ DatasetArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/dataset/train/1690476084535"), } result, err := svc.DescribeDataset(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To describe an Amazon Rekognition Custom Labels model // Describes a version of an Amazon Rekognition Custom Labels model. func ExampleRekognition_DescribeProjectVersions_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DescribeProjectVersionsInput{ ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/1690474772815"), VersionNames: []string{ aws.String("1"), }, } result, err := svc.DescribeProjectVersions(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To describe an Amazon Rekognition Custom Labels project. // Describes an Amazon Rekognition Custom Labels projects. func ExampleRekognition_DescribeProjects_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DescribeProjectsInput{ ProjectNames: []string{ aws.String("my-project"), }, } result, err := svc.DescribeProjects(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To detect custom labels in an image with an Amazon Rekognition Custom Labels model // Detects custom labels in an image with an Amazon Rekognition Custom Labels model func ExampleRekognition_DetectCustomLabels_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DetectCustomLabelsInput{ Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("custom-labels-console-us-east-1-1111111111"), Name: aws.String("assets/flowers_1_test_dataset/camellia4.jpg"), }, }, MaxResults: aws.Int64(100), MinConfidence: aws.Float64(50.000000), ProjectVersionArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/my-project.2023-07-31T11.49.37/1690829378219"), } result, err := svc.DetectCustomLabels(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceNotReadyException: fmt.Println(rekognition.ErrCodeResourceNotReadyException, aerr.Error()) case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To detect faces in an image // This operation detects faces in an image stored in an AWS S3 bucket. func ExampleRekognition_DetectFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DetectFacesInput{ Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("myphoto"), }, }, } result, err := svc.DetectFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To detect labels // This operation detects labels in the supplied image func ExampleRekognition_DetectLabels_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DetectLabelsInput{ Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("myphoto"), }, }, MaxLabels: aws.Int64(123), MinConfidence: aws.Float64(70.000000), } result, err := svc.DetectLabels(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // DisassociateFaces // Removes the association between a Face supplied in an array of FaceIds and the User. func ExampleRekognition_DisassociateFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DisassociateFacesInput{ ClientRequestToken: aws.String("550e8400-e29b-41d4-a716-446655440003"), CollectionId: aws.String("MyCollection"), FaceIds: []string{ aws.String("f5817d37-94f6-4335-bfee-6cf79a3d806e"), aws.String("c92265d4-5f9c-43af-a58e-12be0ce02bc3"), }, UserId: aws.String("DemoUser"), } result, err := svc.DisassociateFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeIdempotentParameterMismatchException: fmt.Println(rekognition.ErrCodeIdempotentParameterMismatchException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeConflictException: fmt.Println(rekognition.ErrCodeConflictException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To distribute an Amazon Rekognition Custom Labels dataset // Distributes an Amazon Rekognition Custom Labels training dataset to a test dataset. func ExampleRekognition_DistributeDatasetEntries_shared00() { svc := rekognition.New(session.New()) input := &rekognition.DistributeDatasetEntriesInput{ Datasets: []rekognition.DistributeDataset{ { Arn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-proj-2/dataset/train/1690564858106"), }, { Arn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-proj-2/dataset/test/1690564858106"), }, }, } result, err := svc.DistributeDatasetEntries(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotReadyException: fmt.Println(rekognition.ErrCodeResourceNotReadyException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // GetMediaAnalysisJob // Retrieves the results for a given media analysis job. func ExampleRekognition_GetMediaAnalysisJob_shared00() { svc := rekognition.New(session.New()) input := &rekognition.GetMediaAnalysisJobInput{ JobId: aws.String("861a0645d98ef88efb75477628c011c04942d9d5f58faf2703c393c8cf8c1537"), } result, err := svc.GetMediaAnalysisJob(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To add a face to a collection // This operation detects faces in an image and adds them to the specified Rekognition // collection. func ExampleRekognition_IndexFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.IndexFacesInput{ CollectionId: aws.String("myphotos"), ExternalImageId: aws.String("myphotoid"), Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("myphoto"), }, }, } result, err := svc.IndexFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To list the collections // This operation returns a list of Rekognition collections. func ExampleRekognition_ListCollections_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListCollectionsInput{} result, err := svc.ListCollections(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To list the entries in an Amazon Rekognition Custom Labels dataset // Lists the JSON line entries in an Amazon Rekognition Custom Labels dataset. func ExampleRekognition_ListDatasetEntries_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListDatasetEntriesInput{ ContainsLabels: []*string{ aws.String("camellia"), }, DatasetArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-proj-2/dataset/train/1690564858106"), HasErrors: aws.Bool(true), Labeled: aws.Bool(true), MaxResults: aws.Int64(100), NextToken: aws.String(""), SourceRefContains: aws.String("camellia4.jpg"), } result, err := svc.ListDatasetEntries(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeResourceNotReadyException: fmt.Println(rekognition.ErrCodeResourceNotReadyException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To list the entries in an Amazon Rekognition Custom Labels dataset // Lists the JSON line entries in an Amazon Rekognition Custom Labels dataset. func ExampleRekognition_ListDatasetLabels_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListDatasetLabelsInput{ DatasetArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-proj-2/dataset/train/1690564858106"), MaxResults: aws.Int64(100), NextToken: aws.String(""), } result, err := svc.ListDatasetLabels(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceNotReadyException: fmt.Println(rekognition.ErrCodeResourceNotReadyException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To list the faces in a collection // This operation lists the faces in a Rekognition collection. func ExampleRekognition_ListFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListFacesInput{ CollectionId: aws.String("myphotos"), MaxResults: aws.Int64(20), } result, err := svc.ListFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // ListMediaAnalysisJobs // Returns a list of media analysis jobs. func ExampleRekognition_ListMediaAnalysisJobs_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListMediaAnalysisJobsInput{ MaxResults: aws.Int64(10), } result, err := svc.ListMediaAnalysisJobs(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // ListProjectPolicies // This operation lists the project policies that are attached to an Amazon Rekognition // Custom Labels project. func ExampleRekognition_ListProjectPolicies_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListProjectPoliciesInput{ MaxResults: aws.Int64(5), NextToken: aws.String(""), ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-sdk-project/1656557051929"), } result, err := svc.ListProjectPolicies(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // ListUsers // Returns metadata of the User such as UserID in the specified collection. func ExampleRekognition_ListUsers_shared00() { svc := rekognition.New(session.New()) input := &rekognition.ListUsersInput{ CollectionId: aws.String("MyCollection"), } result, err := svc.ListUsers(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidPaginationTokenException: fmt.Println(rekognition.ErrCodeInvalidPaginationTokenException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // PutProjectPolicy // This operation attaches a project policy to a Amazon Rekognition Custom Labels project // in a trusting AWS account. func ExampleRekognition_PutProjectPolicy_shared00() { svc := rekognition.New(session.New()) input := &rekognition.PutProjectPolicyInput{ PolicyDocument: aws.String("'{\"Version\":\"2012-10-17\",\"Statement\":[{\"Effect\":\"ALLOW\",\"Principal\":{\"AWS\":\"principal\"},\"Action\":\"rekognition:CopyProjectVersion\",\"Resource\":\"arn:aws:rekognition:us-east-1:123456789012:project/my-sdk-project/version/DestinationVersionName/1627045542080\"}]}'"), PolicyName: aws.String("SamplePolicy"), PolicyRevisionId: aws.String("0123456789abcdef"), ProjectArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-sdk-project/1656557051929"), } result, err := svc.PutProjectPolicy(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeInvalidPolicyRevisionIdException: fmt.Println(rekognition.ErrCodeInvalidPolicyRevisionIdException, aerr.Error()) case rekognition.ErrCodeMalformedPolicyDocumentException: fmt.Println(rekognition.ErrCodeMalformedPolicyDocumentException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceAlreadyExistsException: fmt.Println(rekognition.ErrCodeResourceAlreadyExistsException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeServiceQuotaExceededException: fmt.Println(rekognition.ErrCodeServiceQuotaExceededException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To delete a face // This operation searches for matching faces in the collection the supplied face belongs // to. func ExampleRekognition_SearchFaces_shared00() { svc := rekognition.New(session.New()) input := &rekognition.SearchFacesInput{ CollectionId: aws.String("myphotos"), FaceId: aws.String("70008e50-75e4-55d0-8e80-363fb73b3a14"), FaceMatchThreshold: aws.Float64(90.000000), MaxFaces: aws.Int64(10), } result, err := svc.SearchFaces(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To search for faces matching a supplied image // This operation searches for faces in a Rekognition collection that match the largest // face in an S3 bucket stored image. func ExampleRekognition_SearchFacesByImage_shared00() { svc := rekognition.New(session.New()) input := &rekognition.SearchFacesByImageInput{ CollectionId: aws.String("myphotos"), FaceMatchThreshold: aws.Float64(95.000000), Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("mybucket"), Name: aws.String("myphoto"), }, }, MaxFaces: aws.Int64(5), } result, err := svc.SearchFacesByImage(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // SearchUsers // Searches for UserIDs within a collection based on a FaceId or UserId. func ExampleRekognition_SearchUsers_shared00() { svc := rekognition.New(session.New()) input := &rekognition.SearchUsersInput{ CollectionId: aws.String("MyCollection"), MaxUsers: aws.Int64(2), UserId: aws.String("DemoUser"), UserMatchThreshold: aws.Float64(70.000000), } result, err := svc.SearchUsers(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // SearchUsersByImage // Searches for UserIDs using a supplied image. func ExampleRekognition_SearchUsersByImage_shared00() { svc := rekognition.New(session.New()) input := &rekognition.SearchUsersByImageInput{ CollectionId: aws.String("MyCollection"), Image: &rekognition.Image{ S3Object: &rekognition.S3Object{ Bucket: aws.String("bucket"), Name: aws.String("input.jpg"), }, }, MaxUsers: aws.Int64(2), QualityFilter: aws.String("MEDIUM"), UserMatchThreshold: aws.Float64(70.000000), } result, err := svc.SearchUsersByImage(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeInvalidImageFormatException: fmt.Println(rekognition.ErrCodeInvalidImageFormatException, aerr.Error()) case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeImageTooLargeException: fmt.Println(rekognition.ErrCodeImageTooLargeException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // StartMediaAnalysisJob // Initiates a new media analysis job. func ExampleRekognition_StartMediaAnalysisJob_shared00() { svc := rekognition.New(session.New()) input := &rekognition.StartMediaAnalysisJobInput{ Input: &rekognition.MediaAnalysisInput_{ S3Object: &rekognition.S3Object{ Bucket: aws.String("input-bucket"), Name: aws.String("input-manifest.json"), }, }, JobName: aws.String("job-name"), OperationsConfig: &rekognition.MediaAnalysisOperationsConfig{ DetectModerationLabels: &rekognition.MediaAnalysisDetectModerationLabelsConfig{ MinConfidence: aws.Float64(50.000000), ProjectVersion: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958"), }, }, OutputConfig: &rekognition.MediaAnalysisOutputConfig{ S3Bucket: aws.String("output-bucket"), S3KeyPrefix: aws.String("output-location"), }, } result, err := svc.StartMediaAnalysisJob(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeInvalidManifestException: fmt.Println(rekognition.ErrCodeInvalidManifestException, aerr.Error()) case rekognition.ErrCodeInvalidS3ObjectException: fmt.Println(rekognition.ErrCodeInvalidS3ObjectException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceNotReadyException: fmt.Println(rekognition.ErrCodeResourceNotReadyException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeIdempotentParameterMismatchException: fmt.Println(rekognition.ErrCodeIdempotentParameterMismatchException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To start an Amazon Rekognition Custom Labels model // Starts a version of an Amazon Rekognition Custom Labels model. func ExampleRekognition_StartProjectVersion_shared00() { svc := rekognition.New(session.New()) input := &rekognition.StartProjectVersionInput{ MaxInferenceUnits: aws.Int64(1), MinInferenceUnits: aws.Int64(1), ProjectVersionArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958"), } result, err := svc.StartProjectVersion(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To stop an Amazon Rekognition Custom Labels model. // Stops a version of an Amazon Rekognition Custom Labels model. func ExampleRekognition_StopProjectVersion_shared00() { svc := rekognition.New(session.New()) input := &rekognition.StopProjectVersionInput{ ProjectVersionArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958"), } result, err := svc.StopProjectVersion(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) } // To-add dataset entries to an Amazon Rekognition Custom Labels dataset // Adds dataset entries to an Amazon Rekognition Custom Labels dataset. func ExampleRekognition_UpdateDatasetEntries_shared00() { svc := rekognition.New(session.New()) input := &rekognition.UpdateDatasetEntriesInput{ Changes: &rekognition.DatasetChanges{ GroundTruth: []byte("{\"source-ref\":\"s3://custom-labels-console-us-east-1-111111111/assets/flowers_1_test_dataset/mediterranean_spurge4.jpg\",\"mediterranean_spurge\":1,\"mediterranean_spurge-metadata\":{\"confidence\":1,\"job-name\":\"labeling-job/mediterranean_spurge\",\"class-name\":\"mediterranean_spurge\",\"human-annotated\":\"yes\",\"creation-date\":\"2021-07-11T03:33:42.025Z\",\"type\":\"groundtruth/image-classification\"},\"with_leaves\":1,\"with_leaves-metadata\":{\"confidence\":1,\"job-name\":\"labeling-job/with_leaves\",\"class-name\":\"with_leaves\",\"human-annotated\":\"yes\",\"creation-date\":\"2021-07-11T03:33:42.025Z\",\"type\":\"groundtruth/image-classification\"}}"), }, DatasetArn: aws.String("arn:aws:rekognition:us-east-1:111122223333:project/my-proj-2/dataset/train/1690564858106"), } result, err := svc.UpdateDatasetEntries(input) if err != nil { if aerr, ok := err.(awserr.Error); ok { switch aerr.Code() { case rekognition.ErrCodeInternalServerError: fmt.Println(rekognition.ErrCodeInternalServerError, aerr.Error()) case rekognition.ErrCodeThrottlingException: fmt.Println(rekognition.ErrCodeThrottlingException, aerr.Error()) case rekognition.ErrCodeProvisionedThroughputExceededException: fmt.Println(rekognition.ErrCodeProvisionedThroughputExceededException, aerr.Error()) case rekognition.ErrCodeInvalidParameterException: fmt.Println(rekognition.ErrCodeInvalidParameterException, aerr.Error()) case rekognition.ErrCodeAccessDeniedException: fmt.Println(rekognition.ErrCodeAccessDeniedException, aerr.Error()) case rekognition.ErrCodeLimitExceededException: fmt.Println(rekognition.ErrCodeLimitExceededException, aerr.Error()) case rekognition.ErrCodeResourceInUseException: fmt.Println(rekognition.ErrCodeResourceInUseException, aerr.Error()) case rekognition.ErrCodeResourceNotFoundException: fmt.Println(rekognition.ErrCodeResourceNotFoundException, aerr.Error()) default: fmt.Println(aerr.Error()) } } else { // Print the error, cast err to awserr.Error to get the Code and // Message from an error. fmt.Println(err.Error()) } return } fmt.Println(result) }	74.66 KB	2025-05-25 12:27
📄 integ_test.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. //go:build go1.16 && integration // +build go1.16,integration package rekognition_test import ( "context" "testing" "time" "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/aws/awserr" "github.com/aws/aws-sdk-go/aws/request" "github.com/aws/aws-sdk-go/awstesting/integration" "github.com/aws/aws-sdk-go/service/rekognition" ) var _ aws.Config var _ awserr.Error var _ request.Request func TestInteg_00_ListCollections(t testing.T) { ctx, cancelFn := context.WithTimeout(context.Background(), 5time.Second) defer cancelFn() sess := integration.SessionWithDefaultRegion("us-west-2") svc := rekognition.New(sess) params := &rekognition.ListCollectionsInput{} _, err := svc.ListCollectionsWithContext(ctx, params, func(r *request.Request) { r.Handlers.Validate.RemoveByName("core.ValidateParametersHandler") }) if err != nil { t.Errorf("expect no error, got %v", err) } }	976 B	2025-05-25 12:27
📁 rekognitioniface	-	2025-05-25 12:27
📄 service.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. package rekognition import ( "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/aws/client" "github.com/aws/aws-sdk-go/aws/client/metadata" "github.com/aws/aws-sdk-go/aws/request" "github.com/aws/aws-sdk-go/aws/signer/v4" "github.com/aws/aws-sdk-go/private/protocol" "github.com/aws/aws-sdk-go/private/protocol/jsonrpc" ) // Rekognition provides the API operation methods for making requests to // Amazon Rekognition. See this package's package overview docs // for details on the service. // // Rekognition methods are safe to use concurrently. It is not safe to // modify mutate any of the struct's properties though. type Rekognition struct { client.Client } // Used for custom client initialization logic var initClient func(client.Client) // Used for custom request initialization logic var initRequest func(request.Request) // Service information constants const ( ServiceName = "rekognition" // Name of service. EndpointsID = ServiceName // ID to lookup a service endpoint with. ServiceID = "Rekognition" // ServiceID is a unique identifier of a specific service. ) // New creates a new instance of the Rekognition client with a session. // If additional configuration is needed for the client instance use the optional // aws.Config parameter to add your extra config. // // Example: // // mySession := session.Must(session.NewSession()) // // // Create a Rekognition client from just a session. // svc := rekognition.New(mySession) // // // Create a Rekognition client with additional configuration // svc := rekognition.New(mySession, aws.NewConfig().WithRegion("us-west-2")) func New(p client.ConfigProvider, cfgs ...aws.Config) Rekognition { c := p.ClientConfig(EndpointsID, cfgs...) if c.SigningNameDerived \|\| len(c.SigningName) == 0 { c.SigningName = EndpointsID // No Fallback } return newClient(c.Config, c.Handlers, c.PartitionID, c.Endpoint, c.SigningRegion, c.SigningName, c.ResolvedRegion) } // newClient creates, initializes and returns a new service client instance. func newClient(cfg aws.Config, handlers request.Handlers, partitionID, endpoint, signingRegion, signingName, resolvedRegion string) Rekognition { svc := &Rekognition{ Client: client.New( cfg, metadata.ClientInfo{ ServiceName: ServiceName, ServiceID: ServiceID, SigningName: signingName, SigningRegion: signingRegion, PartitionID: partitionID, Endpoint: endpoint, APIVersion: "2016-06-27", ResolvedRegion: resolvedRegion, JSONVersion: "1.1", TargetPrefix: "RekognitionService", }, handlers, ), } // Handlers svc.Handlers.Sign.PushBackNamed(v4.SignRequestHandler) svc.Handlers.Build.PushBackNamed(jsonrpc.BuildHandler) svc.Handlers.Unmarshal.PushBackNamed(jsonrpc.UnmarshalHandler) svc.Handlers.UnmarshalMeta.PushBackNamed(jsonrpc.UnmarshalMetaHandler) svc.Handlers.UnmarshalError.PushBackNamed( protocol.NewUnmarshalErrorHandler(jsonrpc.NewUnmarshalTypedError(exceptionFromCode)).NamedHandler(), ) // Run custom client initialization if present if initClient != nil { initClient(svc.Client) } return svc } // newRequest creates a new request for a Rekognition operation and runs any // custom request initialization. func (c Rekognition) newRequest(op request.Operation, params, data interface{}) request.Request { req := c.NewRequest(op, params, data) // Run custom request initialization if present if initRequest != nil { initRequest(req) } return req }	3.5 KB	2025-05-25 12:27
📄 waiters.go // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT. package rekognition import ( "time" "github.com/aws/aws-sdk-go/aws" "github.com/aws/aws-sdk-go/aws/request" ) // WaitUntilProjectVersionRunning uses the Amazon Rekognition API operation // DescribeProjectVersions to wait for a condition to be met before returning. // If the condition is not met within the max attempt window, an error will // be returned. func (c Rekognition) WaitUntilProjectVersionRunning(input DescribeProjectVersionsInput) error { return c.WaitUntilProjectVersionRunningWithContext(aws.BackgroundContext(), input) } // WaitUntilProjectVersionRunningWithContext is an extended version of WaitUntilProjectVersionRunning. // With the support for passing in a context and options to configure the // Waiter and the underlying request options. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) WaitUntilProjectVersionRunningWithContext(ctx aws.Context, input DescribeProjectVersionsInput, opts ...request.WaiterOption) error { w := request.Waiter{ Name: "WaitUntilProjectVersionRunning", MaxAttempts: 40, Delay: request.ConstantWaiterDelay(30 * time.Second), Acceptors: []request.WaiterAcceptor{ { State: request.SuccessWaiterState, Matcher: request.PathAllWaiterMatch, Argument: "ProjectVersionDescriptions[].Status", Expected: "RUNNING", }, { State: request.FailureWaiterState, Matcher: request.PathAnyWaiterMatch, Argument: "ProjectVersionDescriptions[].Status", Expected: "FAILED", }, }, Logger: c.Config.Logger, NewRequest: func(opts []request.Option) (request.Request, error) { var inCpy DescribeProjectVersionsInput if input != nil { tmp := input inCpy = &tmp } req, _ := c.DescribeProjectVersionsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } w.ApplyOptions(opts...) return w.WaitWithContext(ctx) } // WaitUntilProjectVersionTrainingCompleted uses the Amazon Rekognition API operation // DescribeProjectVersions to wait for a condition to be met before returning. // If the condition is not met within the max attempt window, an error will // be returned. func (c Rekognition) WaitUntilProjectVersionTrainingCompleted(input DescribeProjectVersionsInput) error { return c.WaitUntilProjectVersionTrainingCompletedWithContext(aws.BackgroundContext(), input) } // WaitUntilProjectVersionTrainingCompletedWithContext is an extended version of WaitUntilProjectVersionTrainingCompleted. // With the support for passing in a context and options to configure the // Waiter and the underlying request options. // // The context must be non-nil and will be used for request cancellation. If // the context is nil a panic will occur. In the future the SDK may create // sub-contexts for http.Requests. See https://golang.org/pkg/context/ // for more information on using Contexts. func (c Rekognition) WaitUntilProjectVersionTrainingCompletedWithContext(ctx aws.Context, input DescribeProjectVersionsInput, opts ...request.WaiterOption) error { w := request.Waiter{ Name: "WaitUntilProjectVersionTrainingCompleted", MaxAttempts: 360, Delay: request.ConstantWaiterDelay(120 time.Second), Acceptors: []request.WaiterAcceptor{ { State: request.SuccessWaiterState, Matcher: request.PathAllWaiterMatch, Argument: "ProjectVersionDescriptions[].Status", Expected: "TRAINING_COMPLETED", }, { State: request.FailureWaiterState, Matcher: request.PathAnyWaiterMatch, Argument: "ProjectVersionDescriptions[].Status", Expected: "TRAINING_FAILED", }, }, Logger: c.Config.Logger, NewRequest: func(opts []request.Option) (request.Request, error) { var inCpy DescribeProjectVersionsInput if input != nil { tmp := *input inCpy = &tmp } req, _ := c.DescribeProjectVersionsRequest(inCpy) req.SetContext(ctx) req.ApplyOptions(opts...) return req, nil }, } w.ApplyOptions(opts...) return w.WaitWithContext(ctx) }	4.18 KB	2025-05-25 12:27

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