rekognition

type AssociateFacesInput struct {

	// The ID of an existing collection containing the UserID.
	//
	// This member is required.
	CollectionId *string

	// An array of FaceIDs to associate with the UserID.
	//
	// This member is required.
	FaceIds []string

	// The ID for the existing UserID.
	//
	// This member is required.
	UserId *string

	// 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

	// An optional value specifying the minimum confidence in the UserID match to
	// return. The default value is 75.
	UserMatchThreshold *float32
	// contains filtered or unexported fields
}

type AssociateFacesOutput struct {

	// An array of AssociatedFace objects containing FaceIDs that have been
	// successfully associated with the UserID. Returned if the AssociateFaces action
	// is successful.
	AssociatedFaces []types.AssociatedFace

	// An array of UnsuccessfulAssociation objects containing FaceIDs that are not
	// successfully associated along with the reasons. Returned if the AssociateFaces
	// action is successful.
	UnsuccessfulFaceAssociations []types.UnsuccessfulFaceAssociation

	// The status of an update made to a UserID. Reflects if the UserID has been
	// updated for every requested change.
	UserStatus types.UserStatus

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type AuthResolverParameters struct {
	// The name of the operation being invoked.
	Operation string

	// The region in which the operation is being invoked.
	Region string
}

type AuthSchemeResolver interface {
	ResolveAuthSchemes(context.Context, *AuthResolverParameters) ([]*smithyauth.Option, error)
}

type Client struct {
	// contains filtered or unexported fields
}

type CompareFacesInput struct {

	// 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.
	//
	// This member is required.
	SourceImage *types.Image

	// 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.
	//
	// This member is required.
	TargetImage *types.Image

	// 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 types.QualityFilter

	// The minimum level of confidence in the face matches that a match must meet to
	// be included in the FaceMatches array.
	SimilarityThreshold *float32
	// contains filtered or unexported fields
}

type CompareFacesOutput struct {

	// 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 []types.CompareFacesMatch

	// The face in the source image that was used for comparison.
	SourceImageFace *types.ComparedSourceImageFace

	// 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 types.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 types.OrientationCorrection

	// An array of faces in the target image that did not match the source image face.
	UnmatchedFaces []types.ComparedFace

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CopyProjectVersionInput struct {

	// The ARN of the project in the trusted AWS account that you want to copy the
	// model version to.
	//
	// This member is required.
	DestinationProjectArn *string

	// The S3 bucket and folder location where the training output for the source
	// model version is placed.
	//
	// This member is required.
	OutputConfig *types.OutputConfig

	// The ARN of the source project in the trusting AWS account.
	//
	// This member is required.
	SourceProjectArn *string

	// The ARN of the model version in the source project that you want to copy to a
	// destination project.
	//
	// This member is required.
	SourceProjectVersionArn *string

	// A name for the version of the model that's copied to the destination project.
	//
	// This member is required.
	VersionName *string

	// 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

	// The key-value tags to assign to the model version.
	Tags map[string]string
	// contains filtered or unexported fields
}

type CopyProjectVersionOutput struct {

	// The ARN of the copied model version in the destination project.
	ProjectVersionArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateCollectionInput struct {

	// ID for the collection that you are creating.
	//
	// This member is required.
	CollectionId *string

	// A set of tags (key-value pairs) that you want to attach to the collection.
	Tags map[string]string
	// contains filtered or unexported fields
}

type CreateCollectionOutput struct {

	// Amazon Resource Name (ARN) of the collection. You can use this to manage
	// permissions on your resources.
	CollectionArn *string

	// Version number of the face detection model associated with the collection you
	// are creating.
	FaceModelVersion *string

	// HTTP status code indicating the result of the operation.
	StatusCode *int32

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateDatasetInput struct {

	// The type of the dataset. Specify TRAIN to create a training dataset. Specify
	// TEST to create a test dataset.
	//
	// This member is required.
	DatasetType types.DatasetType

	// The ARN of the Amazon Rekognition Custom Labels project to which you want to
	// asssign the dataset.
	//
	// This member is required.
	ProjectArn *string

	// 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 *types.DatasetSource
	// contains filtered or unexported fields
}

type CreateDatasetOutput struct {

	// The ARN of the created Amazon Rekognition Custom Labels dataset.
	DatasetArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateFaceLivenessSessionInput struct {

	// 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

	// The identifier for your AWS Key Management Service key (AWS KMS key). Used to
	// encrypt audit images and reference images.
	KmsKeyId *string

	// A session settings object. It contains settings for the operation to be
	// performed. For Face Liveness, it accepts OutputConfig and AuditImagesLimit .
	Settings *types.CreateFaceLivenessSessionRequestSettings
	// contains filtered or unexported fields
}

type CreateFaceLivenessSessionOutput struct {

	// 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.
	//
	// This member is required.
	SessionId *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateProjectInput struct {

	// The name of the project to create.
	//
	// This member is required.
	ProjectName *string

	// 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 types.ProjectAutoUpdate

	// Specifies feature that is being customized. If no value is provided
	// CUSTOM_LABELS is used as a default.
	Feature types.CustomizationFeature
	// contains filtered or unexported fields
}

type CreateProjectOutput struct {

	// The Amazon Resource Name (ARN) of the new project. You can use the ARN to
	// configure IAM access to the project.
	ProjectArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateProjectVersionInput struct {

	// 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.
	//
	// This member is required.
	OutputConfig *types.OutputConfig

	// The ARN of the Amazon Rekognition project that will manage the project version
	// you want to train.
	//
	// This member is required.
	ProjectArn *string

	// A name for the version of the project version. This value must be unique.
	//
	// This member is required.
	VersionName *string

	// 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 *types.CustomizationFeatureConfig

	// 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

	// A set of tags (key-value pairs) that you want to attach to the project version.
	Tags map[string]string

	// 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 *types.TestingData

	// 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 *types.TrainingData

	// A description applied to the project version being created.
	VersionDescription *string
	// contains filtered or unexported fields
}

type CreateProjectVersionOutput struct {

	// 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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateStreamProcessorInput struct {

	// 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.
	//
	// This member is required.
	Input *types.StreamProcessorInput

	// 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.
	//
	// This member is required.
	Name *string

	// 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.
	//
	// This member is required.
	Output *types.StreamProcessorOutput

	// 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.
	//
	// This member is required.
	RoleArn *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.
	//
	// This member is required.
	Settings *types.StreamProcessorSettings

	// 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 *types.StreamProcessorDataSharingPreference

	// 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

	// 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 *types.StreamProcessorNotificationChannel

	// 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 []types.RegionOfInterest

	// A set of tags (key-value pairs) that you want to attach to the stream processor.
	Tags map[string]string
	// contains filtered or unexported fields
}

type CreateStreamProcessorOutput struct {

	// Amazon Resource Number for the newly created stream processor.
	StreamProcessorArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type CreateUserInput struct {

	// The ID of an existing collection to which the new UserID needs to be created.
	//
	// This member is required.
	CollectionId *string

	// ID for the UserID to be created. This ID needs to be unique within the
	// collection.
	//
	// This member is required.
	UserId *string

	// 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
	// contains filtered or unexported fields
}

type CreateUserOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteCollectionInput struct {

	// ID of the collection to delete.
	//
	// This member is required.
	CollectionId *string
	// contains filtered or unexported fields
}

type DeleteCollectionOutput struct {

	// HTTP status code that indicates the result of the operation.
	StatusCode *int32

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteDatasetInput struct {

	// The ARN of the Amazon Rekognition Custom Labels dataset that you want to delete.
	//
	// This member is required.
	DatasetArn *string
	// contains filtered or unexported fields
}

type DeleteDatasetOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteFacesInput struct {

	// Collection from which to remove the specific faces.
	//
	// This member is required.
	CollectionId *string

	// An array of face IDs to delete.
	//
	// This member is required.
	FaceIds []string
	// contains filtered or unexported fields
}

type DeleteFacesOutput struct {

	// An array of strings (face IDs) of the faces that were deleted.
	DeletedFaces []string

	// An array of any faces that weren't deleted.
	UnsuccessfulFaceDeletions []types.UnsuccessfulFaceDeletion

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteProjectInput struct {

	// The Amazon Resource Name (ARN) of the project that you want to delete.
	//
	// This member is required.
	ProjectArn *string
	// contains filtered or unexported fields
}

type DeleteProjectOutput struct {

	// The current status of the delete project operation.
	Status types.ProjectStatus

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteProjectPolicyInput struct {

	// The name of the policy that you want to delete.
	//
	// This member is required.
	PolicyName *string

	// The Amazon Resource Name (ARN) of the project that the project policy you want
	// to delete is attached to.
	//
	// This member is required.
	ProjectArn *string

	// The ID of the project policy revision that you want to delete.
	PolicyRevisionId *string
	// contains filtered or unexported fields
}

type DeleteProjectPolicyOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteProjectVersionInput struct {

	// The Amazon Resource Name (ARN) of the project version that you want to delete.
	//
	// This member is required.
	ProjectVersionArn *string
	// contains filtered or unexported fields
}

type DeleteProjectVersionOutput struct {

	// The status of the deletion operation.
	Status types.ProjectVersionStatus

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteStreamProcessorInput struct {

	// The name of the stream processor you want to delete.
	//
	// This member is required.
	Name *string
	// contains filtered or unexported fields
}

type DeleteStreamProcessorOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DeleteUserInput struct {

	// The ID of an existing collection from which the UserID needs to be deleted.
	//
	// This member is required.
	CollectionId *string

	// ID for the UserID to be deleted.
	//
	// This member is required.
	UserId *string

	// 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
	// contains filtered or unexported fields
}

type DeleteUserOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DescribeCollectionInput struct {

	// The ID of the collection to describe.
	//
	// This member is required.
	CollectionId *string
	// contains filtered or unexported fields
}

type DescribeCollectionOutput struct {

	// The Amazon Resource Name (ARN) of the collection.
	CollectionARN *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

	// The number of faces that are indexed into the collection. To index faces into a
	// collection, use IndexFaces .
	FaceCount *int64

	// 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

	// The number of UserIDs assigned to the specified colleciton.
	UserCount *int64

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DescribeDatasetInput struct {

	// The Amazon Resource Name (ARN) of the dataset that you want to describe.
	//
	// This member is required.
	DatasetArn *string
	// contains filtered or unexported fields
}

type DescribeDatasetOutput struct {

	// The description for the dataset.
	DatasetDescription *types.DatasetDescription

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DescribeProjectVersionsAPIClient interface {
	DescribeProjectVersions(context.Context, *DescribeProjectVersionsInput, ...func(*Options)) (*DescribeProjectVersionsOutput, error)
}

type DescribeProjectVersionsInput struct {

	// The Amazon Resource Name (ARN) of the project that contains the model/adapter
	// you want to describe.
	//
	// This member is required.
	ProjectArn *string

	// 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 *int32

	// 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

	// 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
	// contains filtered or unexported fields
}

type DescribeProjectVersionsOutput struct {

	// 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

	// A list of project version descriptions. The list is sorted by the creation date
	// and time of the project versions, latest to earliest.
	ProjectVersionDescriptions []types.ProjectVersionDescription

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DescribeProjectVersionsPaginator struct {
	// contains filtered or unexported fields
}

type DescribeProjectVersionsPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type DescribeProjectsAPIClient interface {
	DescribeProjects(context.Context, *DescribeProjectsInput, ...func(*Options)) (*DescribeProjectsOutput, error)
}

type DescribeProjectsInput struct {

	// Specifies the type of customization to filter projects by. If no value is
	// specified, CUSTOM_LABELS is used as a default.
	Features []types.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 *int32

	// 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

	// 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
	// contains filtered or unexported fields
}

type DescribeProjectsOutput struct {

	// 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

	// A list of project descriptions. The list is sorted by the date and time the
	// projects are created.
	ProjectDescriptions []types.ProjectDescription

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DescribeProjectsPaginator struct {
	// contains filtered or unexported fields
}

type DescribeProjectsPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type DescribeStreamProcessorInput struct {

	// Name of the stream processor for which you want information.
	//
	// This member is required.
	Name *string
	// contains filtered or unexported fields
}

type DescribeStreamProcessorOutput struct {

	// Date and time the stream processor was created
	CreationTimestamp *time.Time

	// 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 *types.StreamProcessorDataSharingPreference

	// Kinesis video stream that provides the source streaming video.
	Input *types.StreamProcessorInput

	// The identifier for your AWS Key Management Service key (AWS KMS key). This is
	// an optional parameter for label detection stream processors.
	KmsKeyId *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

	// Name of the stream processor.
	Name *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 *types.StreamProcessorNotificationChannel

	// Kinesis data stream to which Amazon Rekognition Video puts the analysis results.
	Output *types.StreamProcessorOutput

	// Specifies locations in the frames where Amazon Rekognition checks for objects
	// or people. This is an optional parameter for label detection stream processors.
	RegionsOfInterest []types.RegionOfInterest

	// ARN of the IAM role that allows access to the stream processor.
	RoleArn *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 *types.StreamProcessorSettings

	// Current status of the stream processor.
	Status types.StreamProcessorStatus

	// Detailed status message about the stream processor.
	StatusMessage *string

	// ARN of the stream processor.
	StreamProcessorArn *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectCustomLabelsInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// 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.
	//
	// This member is required.
	ProjectVersionArn *string

	// 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 *int32

	// 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 *float32
	// contains filtered or unexported fields
}

type DetectCustomLabelsOutput struct {

	// An array of custom labels detected in the input image.
	CustomLabels []types.CustomLabel

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectFacesInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// 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 []types.Attribute
	// contains filtered or unexported fields
}

type DetectFacesOutput struct {

	// Details of each face found in the image.
	FaceDetails []types.FaceDetail

	// 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 types.OrientationCorrection

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectLabelsInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// 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 []types.DetectLabelsFeatureName

	// 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 *int32

	// 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 *float32

	// 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 *types.DetectLabelsSettings
	// contains filtered or unexported fields
}

type DetectLabelsOutput struct {

	// Information about the properties of the input image, such as brightness,
	// sharpness, contrast, and dominant colors.
	ImageProperties *types.DetectLabelsImageProperties

	// Version number of the label detection model that was used to detect labels.
	LabelModelVersion *string

	// An array of labels for the real-world objects detected.
	Labels []types.Label

	// 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 types.OrientationCorrection

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectModerationLabelsInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// Sets up the configuration for human evaluation, including the FlowDefinition
	// the image will be sent to.
	HumanLoopConfig *types.HumanLoopConfig

	// 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 *float32

	// Identifier for the custom adapter. Expects the ProjectVersionArn as a value.
	// Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.
	ProjectVersion *string
	// contains filtered or unexported fields
}

type DetectModerationLabelsOutput struct {

	// 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 []types.ContentType

	// Shows the results of the human in the loop evaluation.
	HumanLoopActivationOutput *types.HumanLoopActivationOutput

	// Array of detected Moderation labels and the time, in milliseconds from the
	// start of the video, they were detected.
	ModerationLabels []types.ModerationLabel

	// Version number of the base moderation detection model that was used to detect
	// unsafe content.
	ModerationModelVersion *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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectProtectiveEquipmentInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// An array of PPE types that you want to summarize.
	SummarizationAttributes *types.ProtectiveEquipmentSummarizationAttributes
	// contains filtered or unexported fields
}

type DetectProtectiveEquipmentOutput struct {

	// An array of persons detected in the image (including persons not wearing PPE).
	Persons []types.ProtectiveEquipmentPerson

	// The version number of the PPE detection model used to detect PPE in the image.
	ProtectiveEquipmentModelVersion *string

	// Summary information for the types of PPE specified in the
	// SummarizationAttributes input parameter.
	Summary *types.ProtectiveEquipmentSummary

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DetectTextInput struct {

	// 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.
	//
	// This member is required.
	Image *types.Image

	// Optional parameters that let you set the criteria that the text must meet to be
	// included in your response.
	Filters *types.DetectTextFilters
	// contains filtered or unexported fields
}

type DetectTextOutput struct {

	// An array of text that was detected in the input image.
	TextDetections []types.TextDetection

	// The model version used to detect text.
	TextModelVersion *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DisassociateFacesInput struct {

	// The ID of an existing collection containing the UserID.
	//
	// This member is required.
	CollectionId *string

	// An array of face IDs to disassociate from the UserID.
	//
	// This member is required.
	FaceIds []string

	// ID for the existing UserID.
	//
	// This member is required.
	UserId *string

	// 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
	// contains filtered or unexported fields
}

type DisassociateFacesOutput struct {

	// An array of DissociatedFace objects containing FaceIds that are successfully
	// disassociated with the UserID is returned. Returned if the DisassociatedFaces
	// action is successful.
	DisassociatedFaces []types.DisassociatedFace

	// 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 []types.UnsuccessfulFaceDisassociation

	// The status of an update made to a User. Reflects if the User has been updated
	// for every requested change.
	UserStatus types.UserStatus

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type DistributeDatasetEntriesInput struct {

	// 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.
	//
	// This member is required.
	Datasets []types.DistributeDataset
	// contains filtered or unexported fields
}

type DistributeDatasetEntriesOutput struct {
	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type EndpointParameters struct {
	// The AWS region used to dispatch the request.
	//
	// Parameter is
	// required.
	//
	// AWS::Region
	Region *string

	// When true, use the dual-stack endpoint. If the configured endpoint does not
	// support dual-stack, dispatching the request MAY return an error.
	//
	// Defaults to
	// false if no value is provided.
	//
	// AWS::UseDualStack
	UseDualStack *bool

	// When true, send this request to the FIPS-compliant regional endpoint. If the
	// configured endpoint does not have a FIPS compliant endpoint, dispatching the
	// request will return an error.
	//
	// Defaults to false if no value is
	// provided.
	//
	// AWS::UseFIPS
	UseFIPS *bool

	// Override the endpoint used to send this request
	//
	// Parameter is
	// required.
	//
	// SDK::Endpoint
	Endpoint *string
}

type EndpointResolver interface {
	ResolveEndpoint(region string, options EndpointResolverOptions) (aws.Endpoint, error)
}

type EndpointResolverFunc func(region string, options EndpointResolverOptions) (aws.Endpoint, error)

type EndpointResolverOptions = internalendpoints.Options

type EndpointResolverV2 interface {
	// ResolveEndpoint attempts to resolve the endpoint with the provided options,
	// returning the endpoint if found. Otherwise an error is returned.
	ResolveEndpoint(ctx context.Context, params EndpointParameters) (
		smithyendpoints.Endpoint, error,
	)
}

type GetCelebrityInfoInput struct {

	// The ID for the celebrity. You get the celebrity ID from a call to the
	// RecognizeCelebrities operation, which recognizes celebrities in an image.
	//
	// This member is required.
	Id *string
	// contains filtered or unexported fields
}

type GetCelebrityInfoOutput struct {

	// Retrieves the known gender for the celebrity.
	KnownGender *types.KnownGender

	// The name of the celebrity.
	Name *string

	// An array of URLs pointing to additional celebrity information.
	Urls []string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetCelebrityRecognitionAPIClient interface {
	GetCelebrityRecognition(context.Context, *GetCelebrityRecognitionInput, ...func(*Options)) (*GetCelebrityRecognitionOutput, error)
}

type GetCelebrityRecognitionInput struct {

	// Job identifier for the required celebrity recognition analysis. You can get the
	// job identifer from a call to StartCelebrityRecognition .
	//
	// This member is required.
	JobId *string

	// 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 *int32

	// 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

	// 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 types.CelebrityRecognitionSortBy
	// contains filtered or unexported fields
}

type GetCelebrityRecognitionOutput struct {

	// Array of celebrities recognized in the video.
	Celebrities []types.CelebrityRecognition

	// 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

	// The current status of the celebrity recognition job.
	JobStatus types.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

	// 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

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// 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 *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetCelebrityRecognitionPaginator struct {
	// contains filtered or unexported fields
}

type GetCelebrityRecognitionPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetContentModerationAPIClient interface {
	GetContentModeration(context.Context, *GetContentModerationInput, ...func(*Options)) (*GetContentModerationOutput, error)
}

type GetContentModerationInput struct {

	// The identifier for the inappropriate, unwanted, or offensive content moderation
	// job. Use JobId to identify the job in a subsequent call to GetContentModeration .
	//
	// This member is required.
	JobId *string

	// Defines how to aggregate results of the StartContentModeration request. Default
	// aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels
	// over time.
	AggregateBy types.ContentModerationAggregateBy

	// 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 *int32

	// 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

	// 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 types.ContentModerationSortBy
	// contains filtered or unexported fields
}

type GetContentModerationOutput struct {

	// Information about the paramters used when getting a response. Includes
	// information on aggregation and sorting methods.
	GetRequestMetadata *types.GetContentModerationRequestMetadata

	// 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

	// The current status of the content moderation analysis job.
	JobStatus types.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

	// The detected inappropriate, unwanted, or offensive content moderation labels
	// and the time(s) they were detected.
	ModerationLabels []types.ContentModerationDetection

	// Version number of the moderation detection model that was used to detect
	// inappropriate, unwanted, or offensive content.
	ModerationModelVersion *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

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// Information about a video that Amazon Rekognition analyzed. Videometadata is
	// returned in every page of paginated responses from GetContentModeration .
	VideoMetadata *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetContentModerationPaginator struct {
	// contains filtered or unexported fields
}

type GetContentModerationPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetFaceDetectionAPIClient interface {
	GetFaceDetection(context.Context, *GetFaceDetectionInput, ...func(*Options)) (*GetFaceDetectionOutput, error)
}

type GetFaceDetectionInput struct {

	// Unique identifier for the face detection job. The JobId is returned from
	// StartFaceDetection .
	//
	// This member is required.
	JobId *string

	// 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 *int32

	// 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
	// contains filtered or unexported fields
}

type GetFaceDetectionOutput struct {

	// 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 []types.FaceDetection

	// 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

	// The current status of the face detection job.
	JobStatus types.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

	// 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

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// 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 *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetFaceDetectionPaginator struct {
	// contains filtered or unexported fields
}

type GetFaceDetectionPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetFaceLivenessSessionResultsInput struct {

	// 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.
	//
	// This member is required.
	SessionId *string
	// contains filtered or unexported fields
}

type GetFaceLivenessSessionResultsOutput struct {

	// The sessionId for which this request was called.
	//
	// This member is required.
	SessionId *string

	// Represents a status corresponding to the state of the session. Possible
	// statuses are: CREATED, IN_PROGRESS, SUCCEEDED, FAILED, EXPIRED.
	//
	// This member is required.
	Status types.LivenessSessionStatus

	// 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 []types.AuditImage

	// Probabalistic confidence score for if the person in the given video was live,
	// represented as a float value between 0 to 100.
	Confidence *float32

	// 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 *types.AuditImage

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetFaceSearchAPIClient interface {
	GetFaceSearch(context.Context, *GetFaceSearchInput, ...func(*Options)) (*GetFaceSearchOutput, error)
}

type GetFaceSearchInput struct {

	// The job identifer for the search request. You get the job identifier from an
	// initial call to StartFaceSearch .
	//
	// This member is required.
	JobId *string

	// 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 *int32

	// 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

	// 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 types.FaceSearchSortBy
	// contains filtered or unexported fields
}

type GetFaceSearchOutput struct {

	// 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

	// The current status of the face search job.
	JobStatus types.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

	// 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

	// 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 []types.PersonMatch

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// Information about a video that Amazon Rekognition analyzed. Videometadata is
	// returned in every page of paginated responses from a Amazon Rekognition Video
	// operation.
	VideoMetadata *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetFaceSearchPaginator struct {
	// contains filtered or unexported fields
}

type GetFaceSearchPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetLabelDetectionAPIClient interface {
	GetLabelDetection(context.Context, *GetLabelDetectionInput, ...func(*Options)) (*GetLabelDetectionOutput, error)
}

type GetLabelDetectionInput struct {

	// Job identifier for the label detection operation for which you want results
	// returned. You get the job identifer from an initial call to StartlabelDetection .
	//
	// This member is required.
	JobId *string

	// Defines how to aggregate the returned results. Results can be aggregated by
	// timestamps or segments.
	AggregateBy types.LabelDetectionAggregateBy

	// 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 *int32

	// 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

	// 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 types.LabelDetectionSortBy
	// contains filtered or unexported fields
}

type GetLabelDetectionOutput struct {

	// Information about the paramters used when getting a response. Includes
	// information on aggregation and sorting methods.
	GetRequestMetadata *types.GetLabelDetectionRequestMetadata

	// 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

	// The current status of the label detection job.
	JobStatus types.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

	// Version number of the label detection model that was used to detect labels.
	LabelModelVersion *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 []types.LabelDetection

	// 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

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// 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 *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetLabelDetectionPaginator struct {
	// contains filtered or unexported fields
}

type GetLabelDetectionPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetMediaAnalysisJobInput struct {

	// Unique identifier for the media analysis job for which you want to retrieve
	// results.
	//
	// This member is required.
	JobId *string
	// contains filtered or unexported fields
}

type GetMediaAnalysisJobOutput struct {

	// The Unix date and time when the job was started.
	//
	// This member is required.
	CreationTimestamp *time.Time

	// Reference to the input manifest that was provided in the job creation request.
	//
	// This member is required.
	Input *types.MediaAnalysisInput

	// The identifier for the media analysis job.
	//
	// This member is required.
	JobId *string

	// Operation configurations that were provided during job creation.
	//
	// This member is required.
	OperationsConfig *types.MediaAnalysisOperationsConfig

	// Output configuration that was provided in the creation request.
	//
	// This member is required.
	OutputConfig *types.MediaAnalysisOutputConfig

	// The current status of the media analysis job.
	//
	// This member is required.
	Status types.MediaAnalysisJobStatus

	// The Unix date and time when the job finished.
	CompletionTimestamp *time.Time

	// Details about the error that resulted in failure of the job.
	FailureDetails *types.MediaAnalysisJobFailureDetails

	// The name of the media analysis job.
	JobName *string

	// KMS Key that was provided in the creation request.
	KmsKeyId *string

	// The summary manifest provides statistics on input manifest and errors
	// identified in the input manifest.
	ManifestSummary *types.MediaAnalysisManifestSummary

	// Output manifest that contains prediction results.
	Results *types.MediaAnalysisResults

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetPersonTrackingAPIClient interface {
	GetPersonTracking(context.Context, *GetPersonTrackingInput, ...func(*Options)) (*GetPersonTrackingOutput, error)
}

type GetPersonTrackingInput struct {

	// The identifier for a job that tracks persons in a video. You get the JobId from
	// a call to StartPersonTracking .
	//
	// This member is required.
	JobId *string

	// 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 *int32

	// 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

	// 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 types.PersonTrackingSortBy
	// contains filtered or unexported fields
}

type GetPersonTrackingOutput struct {

	// 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

	// The current status of the person tracking job.
	JobStatus types.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

	// 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

	// 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 []types.PersonDetection

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// 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 *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetPersonTrackingPaginator struct {
	// contains filtered or unexported fields
}

type GetPersonTrackingPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetSegmentDetectionAPIClient interface {
	GetSegmentDetection(context.Context, *GetSegmentDetectionInput, ...func(*Options)) (*GetSegmentDetectionOutput, error)
}

type GetSegmentDetectionInput struct {

	// Job identifier for the text detection operation for which you want results
	// returned. You get the job identifer from an initial call to
	// StartSegmentDetection .
	//
	// This member is required.
	JobId *string

	// Maximum number of results to return per paginated call. The largest value you
	// can specify is 1000.
	MaxResults *int32

	// 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
	// contains filtered or unexported fields
}

type GetSegmentDetectionOutput struct {

	// 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 []types.AudioMetadata

	// 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

	// Current status of the segment detection job.
	JobStatus types.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

	// 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

	// 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 []types.SegmentDetection

	// An array containing the segment types requested in the call to
	// StartSegmentDetection .
	SelectedSegmentTypes []types.SegmentTypeInfo

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 *types.Video

	// 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 []types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetSegmentDetectionPaginator struct {
	// contains filtered or unexported fields
}

type GetSegmentDetectionPaginatorOptions struct {
	// Maximum number of results to return per paginated call. The largest value you
	// can specify is 1000.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type GetTextDetectionAPIClient interface {
	GetTextDetection(context.Context, *GetTextDetectionInput, ...func(*Options)) (*GetTextDetectionOutput, error)
}

type GetTextDetectionInput struct {

	// Job identifier for the text detection operation for which you want results
	// returned. You get the job identifer from an initial call to StartTextDetection .
	//
	// This member is required.
	JobId *string

	// Maximum number of results to return per paginated call. The largest value you
	// can specify is 1000.
	MaxResults *int32

	// 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
	// contains filtered or unexported fields
}

type GetTextDetectionOutput struct {

	// 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

	// Current status of the text detection job.
	JobStatus types.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

	// 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

	// If the job fails, StatusMessage provides a descriptive error message.
	StatusMessage *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 []types.TextDetectionResult

	// Version number of the text detection model that was used to detect text.
	TextModelVersion *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 *types.Video

	// Information about a video that Amazon Rekognition analyzed. Videometadata is
	// returned in every page of paginated responses from a Amazon Rekognition video
	// operation.
	VideoMetadata *types.VideoMetadata

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type GetTextDetectionPaginator struct {
	// contains filtered or unexported fields
}

type GetTextDetectionPaginatorOptions struct {
	// Maximum number of results to return per paginated call. The largest value you
	// can specify is 1000.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type HTTPClient interface {
	Do(*http.Request) (*http.Response, error)
}

type HTTPSignerV4 interface {
	SignHTTP(ctx context.Context, credentials aws.Credentials, r *http.Request, payloadHash string, service string, region string, signingTime time.Time, optFns ...func(*v4.SignerOptions)) error
}

type IdempotencyTokenProvider interface {
	GetIdempotencyToken() (string, error)
}

type IndexFacesInput struct {

	// The ID of an existing collection to which you want to add the faces that are
	// detected in the input images.
	//
	// This member is required.
	CollectionId *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.
	//
	// This member is required.
	Image *types.Image

	// 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 []types.Attribute

	// The ID you want to assign to all the faces detected in the image.
	ExternalImageId *string

	// 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 *int32

	// 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 types.QualityFilter
	// contains filtered or unexported fields
}

type IndexFacesOutput struct {

	// The version number of the face detection model that's associated with the input
	// collection ( CollectionId ).
	FaceModelVersion *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 []types.FaceRecord

	// 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 types.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 []types.UnindexedFace

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListCollectionsAPIClient interface {
	ListCollections(context.Context, *ListCollectionsInput, ...func(*Options)) (*ListCollectionsOutput, error)
}

type ListCollectionsInput struct {

	// Maximum number of collection IDs to return.
	MaxResults *int32

	// Pagination token from the previous response.
	NextToken *string
	// contains filtered or unexported fields
}

type ListCollectionsOutput struct {

	// An array of collection IDs.
	CollectionIds []string

	// 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

	// 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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListCollectionsPaginator struct {
	// contains filtered or unexported fields
}

type ListCollectionsPaginatorOptions struct {
	// Maximum number of collection IDs to return.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListDatasetEntriesAPIClient interface {
	ListDatasetEntries(context.Context, *ListDatasetEntriesInput, ...func(*Options)) (*ListDatasetEntriesOutput, error)
}

type ListDatasetEntriesInput struct {

	// The Amazon Resource Name (ARN) for the dataset that you want to use.
	//
	// This member is required.
	DatasetArn *string

	// 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

	// Specifies an error filter for the response. Specify True to only include
	// entries that have errors.
	HasErrors *bool

	// 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

	// 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 *int32

	// 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

	// 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
	// contains filtered or unexported fields
}

type ListDatasetEntriesOutput struct {

	// A list of entries (images) in the dataset.
	DatasetEntries []string

	// 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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListDatasetEntriesPaginator struct {
	// contains filtered or unexported fields
}

type ListDatasetEntriesPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListDatasetLabelsAPIClient interface {
	ListDatasetLabels(context.Context, *ListDatasetLabelsInput, ...func(*Options)) (*ListDatasetLabelsOutput, error)
}

type ListDatasetLabelsInput struct {

	// The Amazon Resource Name (ARN) of the dataset that you want to use.
	//
	// This member is required.
	DatasetArn *string

	// 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 *int32

	// 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
	// contains filtered or unexported fields
}

type ListDatasetLabelsOutput struct {

	// A list of the labels in the dataset.
	DatasetLabelDescriptions []types.DatasetLabelDescription

	// 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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListDatasetLabelsPaginator struct {
	// contains filtered or unexported fields
}

type ListDatasetLabelsPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListFacesAPIClient interface {
	ListFaces(context.Context, *ListFacesInput, ...func(*Options)) (*ListFacesOutput, error)
}

type ListFacesInput struct {

	// ID of the collection from which to list the faces.
	//
	// This member is required.
	CollectionId *string

	// An array of face IDs to filter results with when listing faces in a collection.
	FaceIds []string

	// Maximum number of faces to return.
	MaxResults *int32

	// 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

	// An array of user IDs to filter results with when listing faces in a collection.
	UserId *string
	// contains filtered or unexported fields
}

type ListFacesOutput struct {

	// Version number of the face detection model associated with the input collection
	// ( CollectionId ).
	FaceModelVersion *string

	// An array of Face objects.
	Faces []types.Face

	// 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

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListFacesPaginator struct {
	// contains filtered or unexported fields
}

type ListFacesPaginatorOptions struct {
	// Maximum number of faces to return.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListMediaAnalysisJobsAPIClient interface {
	ListMediaAnalysisJobs(context.Context, *ListMediaAnalysisJobsInput, ...func(*Options)) (*ListMediaAnalysisJobsOutput, error)
}

type ListMediaAnalysisJobsInput struct {

	// 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 *int32

	// Pagination token, if the previous response was incomplete.
	NextToken *string
	// contains filtered or unexported fields
}

type ListMediaAnalysisJobsOutput struct {

	// Contains a list of all media analysis jobs.
	//
	// This member is required.
	MediaAnalysisJobs []types.MediaAnalysisJobDescription

	// Pagination token, if the previous response was incomplete.
	NextToken *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListMediaAnalysisJobsPaginator struct {
	// contains filtered or unexported fields
}

type ListMediaAnalysisJobsPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListProjectPoliciesAPIClient interface {
	ListProjectPolicies(context.Context, *ListProjectPoliciesInput, ...func(*Options)) (*ListProjectPoliciesOutput, error)
}

type ListProjectPoliciesInput struct {

	// The ARN of the project for which you want to list the project policies.
	//
	// This member is required.
	ProjectArn *string

	// 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 *int32

	// 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
	// contains filtered or unexported fields
}

type ListProjectPoliciesOutput struct {

	// 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

	// A list of project policies attached to the project.
	ProjectPolicies []types.ProjectPolicy

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListProjectPoliciesPaginator struct {
	// contains filtered or unexported fields
}

type ListProjectPoliciesPaginatorOptions struct {
	// 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.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListStreamProcessorsAPIClient interface {
	ListStreamProcessors(context.Context, *ListStreamProcessorsInput, ...func(*Options)) (*ListStreamProcessorsOutput, error)
}

type ListStreamProcessorsInput struct {

	// Maximum number of stream processors you want Amazon Rekognition Video to return
	// in the response. The default is 1000.
	MaxResults *int32

	// 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
	// contains filtered or unexported fields
}

type ListStreamProcessorsOutput struct {

	// 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

	// List of stream processors that you have created.
	StreamProcessors []types.StreamProcessor

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListStreamProcessorsPaginator struct {
	// contains filtered or unexported fields
}

type ListStreamProcessorsPaginatorOptions struct {
	// Maximum number of stream processors you want Amazon Rekognition Video to return
	// in the response. The default is 1000.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type ListTagsForResourceInput struct {

	// Amazon Resource Name (ARN) of the model, collection, or stream processor that
	// contains the tags that you want a list of.
	//
	// This member is required.
	ResourceArn *string
	// contains filtered or unexported fields
}

type ListTagsForResourceOutput struct {

	// A list of key-value tags assigned to the resource.
	Tags map[string]string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListUsersAPIClient interface {
	ListUsers(context.Context, *ListUsersInput, ...func(*Options)) (*ListUsersOutput, error)
}

type ListUsersInput struct {

	// The ID of an existing collection.
	//
	// This member is required.
	CollectionId *string

	// Maximum number of UsersID to return.
	MaxResults *int32

	// Pagingation token to receive the next set of UsersID.
	NextToken *string
	// contains filtered or unexported fields
}

type ListUsersOutput struct {

	// A pagination token to be used with the subsequent request if the response is
	// truncated.
	NextToken *string

	// List of UsersID associated with the specified collection.
	Users []types.User

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
	// contains filtered or unexported fields
}

type ListUsersPaginator struct {
	// contains filtered or unexported fields
}

type ListUsersPaginatorOptions struct {
	// Maximum number of UsersID to return.
	Limit int32

	// Set to true if pagination should stop if the service returns a pagination token
	// that matches the most recent token provided to the service.
	StopOnDuplicateToken bool
}

type Options struct {
	// Set of options to modify how an operation is invoked. These apply to all
	// operations invoked for this client. Use functional options on operation call to
	// modify this list for per operation behavior.
	APIOptions []func(*middleware.Stack) error

	// The optional application specific identifier appended to the User-Agent header.
	AppID string

	// This endpoint will be given as input to an EndpointResolverV2. It is used for
	// providing a custom base endpoint that is subject to modifications by the
	// processing EndpointResolverV2.
	BaseEndpoint *string

	// Configures the events that will be sent to the configured logger.
	ClientLogMode aws.ClientLogMode

	// The credentials object to use when signing requests.
	Credentials aws.CredentialsProvider

	// The configuration DefaultsMode that the SDK should use when constructing the
	// clients initial default settings.
	DefaultsMode aws.DefaultsMode

	// The endpoint options to be used when attempting to resolve an endpoint.
	EndpointOptions EndpointResolverOptions

	// The service endpoint resolver.
	//
	// Deprecated: Deprecated: EndpointResolver and WithEndpointResolver. Providing a
	// value for this field will likely prevent you from using any endpoint-related
	// service features released after the introduction of EndpointResolverV2 and
	// BaseEndpoint. To migrate an EndpointResolver implementation that uses a custom
	// endpoint, set the client option BaseEndpoint instead.
	EndpointResolver EndpointResolver

	// Resolves the endpoint used for a particular service operation. This should be
	// used over the deprecated EndpointResolver.
	EndpointResolverV2 EndpointResolverV2

	// Signature Version 4 (SigV4) Signer
	HTTPSignerV4 HTTPSignerV4

	// Provides idempotency tokens values that will be automatically populated into
	// idempotent API operations.
	IdempotencyTokenProvider IdempotencyTokenProvider

	// The logger writer interface to write logging messages to.
	Logger logging.Logger

	// The region to send requests to. (Required)
	Region string

	// RetryMaxAttempts specifies the maximum number attempts an API client will call
	// an operation that fails with a retryable error. A value of 0 is ignored, and
	// will not be used to configure the API client created default retryer, or modify
	// per operation call's retry max attempts. If specified in an operation call's
	// functional options with a value that is different than the constructed client's
	// Options, the Client's Retryer will be wrapped to use the operation's specific
	// RetryMaxAttempts value.
	RetryMaxAttempts int

	// RetryMode specifies the retry mode the API client will be created with, if
	// Retryer option is not also specified. When creating a new API Clients this
	// member will only be used if the Retryer Options member is nil. This value will
	// be ignored if Retryer is not nil. Currently does not support per operation call
	// overrides, may in the future.
	RetryMode aws.RetryMode

	// Retryer guides how HTTP requests should be retried in case of recoverable
	// failures. When nil the API client will use a default retryer. The kind of
	// default retry created by the API client can be changed with the RetryMode
	// option.
	Retryer aws.Retryer

	// The RuntimeEnvironment configuration, only populated if the DefaultsMode is set
	// to DefaultsModeAuto and is initialized using config.LoadDefaultConfig . You
	// should not populate this structure programmatically, or rely on the values here
	// within your applications.
	RuntimeEnvironment aws.RuntimeEnvironment

	// The HTTP client to invoke API calls with. Defaults to client's default HTTP
	// implementation if nil.
	HTTPClient HTTPClient

	// The auth scheme resolver which determines how to authenticate for each
	// operation.
	AuthSchemeResolver AuthSchemeResolver

	// The list of auth schemes supported by the client.
	AuthSchemes []smithyhttp.AuthScheme
	// contains filtered or unexported fields
}

type ProjectVersionRunningWaiter struct {
	// contains filtered or unexported fields
}

type ProjectVersionRunningWaiterOptions struct {

	// Set of options to modify how an operation is invoked. These apply to all
	// operations invoked for this client. Use functional options on operation call to
	// modify this list for per operation behavior.
	//
	// Passing options here is functionally equivalent to passing values to this
	// config's ClientOptions field that extend the inner client's APIOptions directly.
	APIOptions []func(*middleware.Stack) error

	// Functional options to be passed to all operations invoked by this client.
	//
	// Function values that modify the inner APIOptions are applied after the waiter
	// config's own APIOptions modifiers.
	ClientOptions []func(*Options)

	// MinDelay is the minimum amount of time to delay between retries. If unset,
	// ProjectVersionRunningWaiter will use default minimum delay of 30 seconds. Note
	// that MinDelay must resolve to a value lesser than or equal to the MaxDelay.
	MinDelay time.Duration

	// MaxDelay is the maximum amount of time to delay between retries. If unset or
	// set to zero, ProjectVersionRunningWaiter will use default max delay of 120
	// seconds. Note that MaxDelay must resolve to value greater than or equal to the
	// MinDelay.
	MaxDelay time.Duration

	// LogWaitAttempts is used to enable logging for waiter retry attempts
	LogWaitAttempts bool

	// Retryable is function that can be used to override the service defined
	// waiter-behavior based on operation output, or returned error. This function is
	// used by the waiter to decide if a state is retryable or a terminal state. By
	// default service-modeled logic will populate this option. This option can thus be
	// used to define a custom waiter state with fall-back to service-modeled waiter
	// state mutators.The function returns an error in case of a failure state. In case
	// of retry state, this function returns a bool value of true and nil error, while
	// in case of success it returns a bool value of false and nil error.
	Retryable func(context.Context, *DescribeProjectVersionsInput, *DescribeProjectVersionsOutput, error) (bool, error)
}

type ProjectVersionTrainingCompletedWaiter struct {
	// contains filtered or unexported fields
}

type ProjectVersionTrainingCompletedWaiterOptions struct {

	// Set of options to modify how an operation is invoked. These apply to all
	// operations invoked for this client. Use functional options on operation call to
	// modify this list for per operation behavior.
	//
	// Passing options here is functionally equivalent to passing values to this
	// config's ClientOptions field that extend the inner client's APIOptions directly.
	APIOptions []func(*middleware.Stack) error

	// Functional options to be passed to all operations invoked by this client.
	//
	// Function values that modify the inner APIOptions are applied after the waiter
	// config's own APIOptions modifiers.
	ClientOptions []func(*Options)

	// MinDelay is the minimum amount of time to delay between retries. If unset,
	// ProjectVersionTrainingCompletedWaiter will use default minimum delay of 120
	// seconds. Note that MinDelay must resolve to a value lesser than or equal to the
	// MaxDelay.
	MinDelay time.Duration

	// MaxDelay is the maximum amount of time to delay between retries. If unset or
	// set to zero, ProjectVersionTrainingCompletedWaiter will use default max delay of
	// 120 seconds. Note that MaxDelay must resolve to value greater than or equal to
	// the MinDelay.
	MaxDelay time.Duration

	// LogWaitAttempts is used to enable logging for waiter retry attempts
	LogWaitAttempts bool

	// Retryable is function that can be used to override the service defined
	// waiter-behavior based on operation output, or returned error. This function is
	// used by the waiter to decide if a state is retryable or a terminal state. By
	// default service-modeled logic will populate this option. This option can thus be
	// used to define a custom waiter state with fall-back to service-modeled waiter
	// state mutators.The function returns an error in case of a failure state. In case
	// of retry state, this function returns a bool value of true and nil error, while
	// in case of success it returns a bool value of false and nil error.
	Retryable func(context.Context, *DescribeProjectVersionsInput, *DescribeProjectVersionsOutput, error) (bool, error)
}