api.go

// THIS FILE IS AUTOMATICALLY GENERATED. DO NOT EDIT.

// Package rekognition provides a client for Amazon Rekognition.
package rekognition

import (
	"github.com/aws/aws-sdk-go/aws/awsutil"
	"github.com/aws/aws-sdk-go/aws/request"
)

const opCompareFaces = "CompareFaces"

// CompareFacesRequest generates a "aws/request.Request" representing the
// client's request for the CompareFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See CompareFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the CompareFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the CompareFacesRequest method.
//    req, resp := client.CompareFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) CompareFacesRequest(input *CompareFacesInput) (req *request.Request, output *CompareFacesOutput) {
	op := &request.Operation{
		Name:       opCompareFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &CompareFacesInput{}
	}

	output = &CompareFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// CompareFaces API operation for Amazon Rekognition.
//
// Compares a face in the source input image with each face detected in the
// target input image.
//
// If the source image contains multiple faces, the service detects the largest
// face and uses it to compare with each face detected in the target image.
//
// In response, the operation returns an array of face matches ordered by similarity
// score with the highest similarity scores first. For each face match, the
// response provides a bounding box of the face and confidence value (indicating
// the level of confidence that the bounding box contains a face). The response
// also provides a similarity score, which indicates how closely the faces match.
//
// By default, only faces with the similarity score of greater than or equal
// to 80% are returned in the response. You can change this value.
//
// In addition to the face matches, the response returns information about the
// face in the source image, including the bounding box of the face and confidence
// value.
//
// This is a stateless API operation. That is, the operation does not persist
// any data.
//
// For an example, see get-started-exercise-compare-faces
//
// This operation requires permissions to perform the rekognition:CompareFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation CompareFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeInvalidS3ObjectException "InvalidS3ObjectException"
//   Amazon Rekognition is unable to access the S3 object specified in the request.
//
//   * ErrCodeImageTooLargeException "ImageTooLargeException"
//   The input image size exceeds the allowed limit. For more information, see
//   limits.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeInvalidImageFormatException "InvalidImageFormatException"
//   The provided image format is not supported.
//
func (c *Rekognition) CompareFaces(input *CompareFacesInput) (*CompareFacesOutput, error) {
	req, out := c.CompareFacesRequest(input)
	err := req.Send()
	return out, err
}

const opCreateCollection = "CreateCollection"

// CreateCollectionRequest generates a "aws/request.Request" representing the
// client's request for the CreateCollection operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See CreateCollection for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the CreateCollection method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the CreateCollectionRequest method.
//    req, resp := client.CreateCollectionRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) CreateCollectionRequest(input *CreateCollectionInput) (req *request.Request, output *CreateCollectionOutput) {
	op := &request.Operation{
		Name:       opCreateCollection,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &CreateCollectionInput{}
	}

	output = &CreateCollectionOutput{}
	req = c.newRequest(op, input, output)
	return
}

// CreateCollection API operation for Amazon Rekognition.
//
// Creates a collection in an AWS Region. You can add faces to the collection
// using the operation.
//
// For example, you might create collections, one for each of your application
// users. A user can then index faces using the IndexFaces operation and persist
// results in a specific collection. Then, a user can search the collection
// for faces in the user-specific container.
//
// For an example, see example1.
//
// This operation requires permissions to perform the rekognition:CreateCollection
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation CreateCollection for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceAlreadyExistsException "ResourceAlreadyExistsException"
//   A collection with the specified ID already exists.
//
func (c *Rekognition) CreateCollection(input *CreateCollectionInput) (*CreateCollectionOutput, error) {
	req, out := c.CreateCollectionRequest(input)
	err := req.Send()
	return out, err
}

const opDeleteCollection = "DeleteCollection"

// DeleteCollectionRequest generates a "aws/request.Request" representing the
// client's request for the DeleteCollection operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See DeleteCollection for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the DeleteCollection method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the DeleteCollectionRequest method.
//    req, resp := client.DeleteCollectionRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) DeleteCollectionRequest(input *DeleteCollectionInput) (req *request.Request, output *DeleteCollectionOutput) {
	op := &request.Operation{
		Name:       opDeleteCollection,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &DeleteCollectionInput{}
	}

	output = &DeleteCollectionOutput{}
	req = c.newRequest(op, input, output)
	return
}

// DeleteCollection API operation for Amazon Rekognition.
//
// Deletes the specified collection. Note that this operation removes all faces
// in the collection. For an example, see example1.
//
// This operation requires permissions to perform the rekognition:DeleteCollection
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation DeleteCollection for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
func (c *Rekognition) DeleteCollection(input *DeleteCollectionInput) (*DeleteCollectionOutput, error) {
	req, out := c.DeleteCollectionRequest(input)
	err := req.Send()
	return out, err
}

const opDeleteFaces = "DeleteFaces"

// DeleteFacesRequest generates a "aws/request.Request" representing the
// client's request for the DeleteFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See DeleteFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the DeleteFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the DeleteFacesRequest method.
//    req, resp := client.DeleteFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) DeleteFacesRequest(input *DeleteFacesInput) (req *request.Request, output *DeleteFacesOutput) {
	op := &request.Operation{
		Name:       opDeleteFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &DeleteFacesInput{}
	}

	output = &DeleteFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// DeleteFaces API operation for Amazon Rekognition.
//
// Deletes faces from a collection. You specify a collection ID and an array
// of face IDs to remove from the collection.
//
// This operation requires permissions to perform the rekognition:DeleteFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation DeleteFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
func (c *Rekognition) DeleteFaces(input *DeleteFacesInput) (*DeleteFacesOutput, error) {
	req, out := c.DeleteFacesRequest(input)
	err := req.Send()
	return out, err
}

const opDetectFaces = "DetectFaces"

// DetectFacesRequest generates a "aws/request.Request" representing the
// client's request for the DetectFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See DetectFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the DetectFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the DetectFacesRequest method.
//    req, resp := client.DetectFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) DetectFacesRequest(input *DetectFacesInput) (req *request.Request, output *DetectFacesOutput) {
	op := &request.Operation{
		Name:       opDetectFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &DetectFacesInput{}
	}

	output = &DetectFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// DetectFaces API operation for Amazon Rekognition.
//
// Detects faces within an image (JPEG or PNG) that is provided as input.
//
// For each face detected, the operation returns face details including a bounding
// box of the face, a confidence value (that the bounding box contains a face),
// and a fixed set of attributes such as facial landmarks (for example, coordinates
// of eye and mouth), gender, presence of beard, sunglasses, etc.
//
// The face-detection algorithm is most effective on frontal faces. For non-frontal
// or obscured faces, the algorithm may not detect the faces or might detect
// faces with lower confidence.
//
// This is a stateless API operation. That is, the operation does not persist
// any data.
//
// For an example, see get-started-exercise-detect-faces.
//
// This operation requires permissions to perform the rekognition:DetectFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation DetectFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidS3ObjectException "InvalidS3ObjectException"
//   Amazon Rekognition is unable to access the S3 object specified in the request.
//
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeImageTooLargeException "ImageTooLargeException"
//   The input image size exceeds the allowed limit. For more information, see
//   limits.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeInvalidImageFormatException "InvalidImageFormatException"
//   The provided image format is not supported.
//
func (c *Rekognition) DetectFaces(input *DetectFacesInput) (*DetectFacesOutput, error) {
	req, out := c.DetectFacesRequest(input)
	err := req.Send()
	return out, err
}

const opDetectLabels = "DetectLabels"

// DetectLabelsRequest generates a "aws/request.Request" representing the
// client's request for the DetectLabels operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See DetectLabels for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the DetectLabels method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the DetectLabelsRequest method.
//    req, resp := client.DetectLabelsRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) DetectLabelsRequest(input *DetectLabelsInput) (req *request.Request, output *DetectLabelsOutput) {
	op := &request.Operation{
		Name:       opDetectLabels,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &DetectLabelsInput{}
	}

	output = &DetectLabelsOutput{}
	req = c.newRequest(op, input, output)
	return
}

// DetectLabels API operation for Amazon Rekognition.
//
// Detects instances of real-world labels within an image (JPEG or PNG) provided
// as input. This includes objects like flower, tree, and table; events like
// wedding, graduation, and birthday party; and concepts like landscape, evening,
// and nature. For an example, see get-started-exercise-detect-labels.
//
// For each object, scene, and concept the API returns one or more labels. Each
// label provides the object name, and the level of confidence that the image
// contains the object. For example, suppose the input image has a lighthouse,
// the sea, and a rock. The response will include all three labels, one for
// each object.
//
// {Name: lighthouse, Confidence: 98.4629}
//
// {Name: rock,Confidence: 79.2097}
//
// {Name: sea,Confidence: 75.061}
//
// In the preceding example, the operation returns one label for each of the
// three objects. The operation can also return multiple labels for the same
// object in the image. For example, if the input image shows a flower (for
// example, a tulip), the operation might return the following three labels.
//
// {Name: flower,Confidence: 99.0562}
//
// {Name: plant,Confidence: 99.0562}
//
// {Name: tulip,Confidence: 99.0562}
//
// In this example, the detection algorithm more precisely identifies the flower
// as a tulip.
//
// You can provide the input image as an S3 object or as base64-encoded bytes.
// In response, the API returns an array of labels. In addition, the response
// also includes the orientation correction. Optionally, you can specify MinConfidence
// to control the confidence threshold for the labels returned. The default
// is 50%. You can also add the MaxLabels parameter to limit the number of labels
// returned.
//
// If the object detected is a person, the operation doesn't provide the same
// facial details that the DetectFaces operation provides.
//
// This is a stateless API operation. That is, the operation does not persist
// any data.
//
// This operation requires permissions to perform the rekognition:DetectLabels
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation DetectLabels for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidS3ObjectException "InvalidS3ObjectException"
//   Amazon Rekognition is unable to access the S3 object specified in the request.
//
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeImageTooLargeException "ImageTooLargeException"
//   The input image size exceeds the allowed limit. For more information, see
//   limits.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeInvalidImageFormatException "InvalidImageFormatException"
//   The provided image format is not supported.
//
func (c *Rekognition) DetectLabels(input *DetectLabelsInput) (*DetectLabelsOutput, error) {
	req, out := c.DetectLabelsRequest(input)
	err := req.Send()
	return out, err
}

const opIndexFaces = "IndexFaces"

// IndexFacesRequest generates a "aws/request.Request" representing the
// client's request for the IndexFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See IndexFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the IndexFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the IndexFacesRequest method.
//    req, resp := client.IndexFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) IndexFacesRequest(input *IndexFacesInput) (req *request.Request, output *IndexFacesOutput) {
	op := &request.Operation{
		Name:       opIndexFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &IndexFacesInput{}
	}

	output = &IndexFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// IndexFaces API operation for Amazon Rekognition.
//
// Detects faces in the input image and adds them to the specified collection.
//
// Amazon Rekognition does not save the actual faces detected. Instead, the
// underlying detection algorithm first detects the faces in the input image,
// and for each face extracts facial features into a feature vector, and stores
// it in the back-end database. Amazon Rekognition uses feature vectors when
// performing face match and search operations using the and operations.
//
// If you provide the optional externalImageID for the input image you provided,
// Amazon Rekognition associates this ID with all faces that it detects. When
// you call the operation, the response returns the external ID. You can use
// this external image ID to create a client-side index to associate the faces
// with each image. You can then use the index to find all faces in an image.
//
// In response, the operation returns an array of metadata for all detected
// faces. This includes, the bounding box of the detected face, confidence value
// (indicating the bounding box contains a face), a face ID assigned by the
// service for each face that is detected and stored, and an image ID assigned
// by the service for the input image If you request all facial attributes (using
// the detectionAttributes parameter, Amazon Rekognition returns detailed facial
// attributes such as facial landmarks (for example, location of eye and mount)
// and other facial attributes such gender. If you provide the same image, specify
// the same collection, and use the same external ID in the IndexFaces operation,
// Amazon Rekognition doesn't save duplicate face metadata.
//
// For an example, see example2.
//
// This operation requires permissions to perform the rekognition:IndexFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation IndexFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidS3ObjectException "InvalidS3ObjectException"
//   Amazon Rekognition is unable to access the S3 object specified in the request.
//
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeImageTooLargeException "ImageTooLargeException"
//   The input image size exceeds the allowed limit. For more information, see
//   limits.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
//   * ErrCodeInvalidImageFormatException "InvalidImageFormatException"
//   The provided image format is not supported.
//
func (c *Rekognition) IndexFaces(input *IndexFacesInput) (*IndexFacesOutput, error) {
	req, out := c.IndexFacesRequest(input)
	err := req.Send()
	return out, err
}

const opListCollections = "ListCollections"

// ListCollectionsRequest generates a "aws/request.Request" representing the
// client's request for the ListCollections operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See ListCollections for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the ListCollections method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the ListCollectionsRequest method.
//    req, resp := client.ListCollectionsRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) ListCollectionsRequest(input *ListCollectionsInput) (req *request.Request, output *ListCollectionsOutput) {
	op := &request.Operation{
		Name:       opListCollections,
		HTTPMethod: "POST",
		HTTPPath:   "/",
		Paginator: &request.Paginator{
			InputTokens:     []string{"NextToken"},
			OutputTokens:    []string{"NextToken"},
			LimitToken:      "MaxResults",
			TruncationToken: "",
		},
	}

	if input == nil {
		input = &ListCollectionsInput{}
	}

	output = &ListCollectionsOutput{}
	req = c.newRequest(op, input, output)
	return
}

// ListCollections API operation for Amazon Rekognition.
//
// Returns list of collection IDs in your account. If the result is truncated,
// the response also provides a NextToken that you can use in the subsequent
// request to fetch the next set of collection IDs.
//
// For an example, see example1.
//
// This operation requires permissions to perform the rekognition:ListCollections
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation ListCollections for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeInvalidPaginationTokenException "InvalidPaginationTokenException"
//   Pagination token in the request is not valid.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
func (c *Rekognition) ListCollections(input *ListCollectionsInput) (*ListCollectionsOutput, error) {
	req, out := c.ListCollectionsRequest(input)
	err := req.Send()
	return out, err
}

// ListCollectionsPages iterates over the pages of a ListCollections operation,
// calling the "fn" function with the response data for each page. To stop
// iterating, return false from the fn function.
//
// See ListCollections method for more information on how to use this operation.
//
// Note: This operation can generate multiple requests to a service.
//
//    // Example iterating over at most 3 pages of a ListCollections operation.
//    pageNum := 0
//    err := client.ListCollectionsPages(params,
//        func(page *ListCollectionsOutput, lastPage bool) bool {
//            pageNum++
//            fmt.Println(page)
//            return pageNum <= 3
//        })
//
func (c *Rekognition) ListCollectionsPages(input *ListCollectionsInput, fn func(p *ListCollectionsOutput, lastPage bool) (shouldContinue bool)) error {
	page, _ := c.ListCollectionsRequest(input)
	page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
	return page.EachPage(func(p interface{}, lastPage bool) bool {
		return fn(p.(*ListCollectionsOutput), lastPage)
	})
}

const opListFaces = "ListFaces"

// ListFacesRequest generates a "aws/request.Request" representing the
// client's request for the ListFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See ListFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the ListFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the ListFacesRequest method.
//    req, resp := client.ListFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) ListFacesRequest(input *ListFacesInput) (req *request.Request, output *ListFacesOutput) {
	op := &request.Operation{
		Name:       opListFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
		Paginator: &request.Paginator{
			InputTokens:     []string{"NextToken"},
			OutputTokens:    []string{"NextToken"},
			LimitToken:      "MaxResults",
			TruncationToken: "",
		},
	}

	if input == nil {
		input = &ListFacesInput{}
	}

	output = &ListFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// ListFaces API operation for Amazon Rekognition.
//
// Returns metadata for faces in the specified collection. This metadata includes
// information such as the bounding box coordinates, the confidence (that the
// bounding box contains a face), and face ID. For an example, see example3.
//
// This operation requires permissions to perform the rekognition:ListFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation ListFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeInvalidPaginationTokenException "InvalidPaginationTokenException"
//   Pagination token in the request is not valid.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
func (c *Rekognition) ListFaces(input *ListFacesInput) (*ListFacesOutput, error) {
	req, out := c.ListFacesRequest(input)
	err := req.Send()
	return out, err
}

// ListFacesPages iterates over the pages of a ListFaces operation,
// calling the "fn" function with the response data for each page. To stop
// iterating, return false from the fn function.
//
// See ListFaces method for more information on how to use this operation.
//
// Note: This operation can generate multiple requests to a service.
//
//    // Example iterating over at most 3 pages of a ListFaces operation.
//    pageNum := 0
//    err := client.ListFacesPages(params,
//        func(page *ListFacesOutput, lastPage bool) bool {
//            pageNum++
//            fmt.Println(page)
//            return pageNum <= 3
//        })
//
func (c *Rekognition) ListFacesPages(input *ListFacesInput, fn func(p *ListFacesOutput, lastPage bool) (shouldContinue bool)) error {
	page, _ := c.ListFacesRequest(input)
	page.Handlers.Build.PushBack(request.MakeAddToUserAgentFreeFormHandler("Paginator"))
	return page.EachPage(func(p interface{}, lastPage bool) bool {
		return fn(p.(*ListFacesOutput), lastPage)
	})
}

const opSearchFaces = "SearchFaces"

// SearchFacesRequest generates a "aws/request.Request" representing the
// client's request for the SearchFaces operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See SearchFaces for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the SearchFaces method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the SearchFacesRequest method.
//    req, resp := client.SearchFacesRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) SearchFacesRequest(input *SearchFacesInput) (req *request.Request, output *SearchFacesOutput) {
	op := &request.Operation{
		Name:       opSearchFaces,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &SearchFacesInput{}
	}

	output = &SearchFacesOutput{}
	req = c.newRequest(op, input, output)
	return
}

// SearchFaces API operation for Amazon Rekognition.
//
// For a given input face ID, searches for matching faces in the collection
// the face belongs to. You get a face ID when you add a face to the collection
// using the IndexFaces operation. The operation compares the features of the
// input face with faces in the specified collection.
//
// You can also search faces without indexing faces by using the SearchFacesByImage
// operation.
//
// The operation response returns an array of faces that match, ordered by similarity
// score with the highest similarity first. More specifically, it is an array
// of metadata for each face match that is found. Along with the metadata, the
// response also includes a confidence value for each face match, indicating
// the confidence that the specific face matches the input face.
//
// For an example, see example3.
//
// This operation requires permissions to perform the rekognition:SearchFaces
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation SearchFaces for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
func (c *Rekognition) SearchFaces(input *SearchFacesInput) (*SearchFacesOutput, error) {
	req, out := c.SearchFacesRequest(input)
	err := req.Send()
	return out, err
}

const opSearchFacesByImage = "SearchFacesByImage"

// SearchFacesByImageRequest generates a "aws/request.Request" representing the
// client's request for the SearchFacesByImage operation. The "output" return
// value can be used to capture response data after the request's "Send" method
// is called.
//
// See SearchFacesByImage for usage and error information.
//
// Creating a request object using this method should be used when you want to inject
// custom logic into the request's lifecycle using a custom handler, or if you want to
// access properties on the request object before or after sending the request. If
// you just want the service response, call the SearchFacesByImage method directly
// instead.
//
// Note: You must call the "Send" method on the returned request object in order
// to execute the request.
//
//    // Example sending a request using the SearchFacesByImageRequest method.
//    req, resp := client.SearchFacesByImageRequest(params)
//
//    err := req.Send()
//    if err == nil { // resp is now filled
//        fmt.Println(resp)
//    }
func (c *Rekognition) SearchFacesByImageRequest(input *SearchFacesByImageInput) (req *request.Request, output *SearchFacesByImageOutput) {
	op := &request.Operation{
		Name:       opSearchFacesByImage,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &SearchFacesByImageInput{}
	}

	output = &SearchFacesByImageOutput{}
	req = c.newRequest(op, input, output)
	return
}

// SearchFacesByImage API operation for Amazon Rekognition.
//
// For a given input image, first detects the largest face in the image, and
// then searches the specified collection for matching faces. The operation
// compares the features of the input face with faces in the specified collection.
//
// To search for all faces in an input image, you might first call the operation,
// and then use the face IDs returned in subsequent calls to the operation.
//
//  You can also call the DetectFaces operation and use the bounding boxes in
// the response to make face crops, which then you can pass in to the SearchFacesByImage
// operation.
//
// The response returns an array of faces that match, ordered by similarity
// score with the highest similarity first. More specifically, it is an array
// of metadata for each face match found. Along with the metadata, the response
// also includes a similarity indicating how similar the face is to the input
// face. In the response, the operation also returns the bounding box (and a
// confidence level that the bounding box contains a face) of the face that
// Amazon Rekognition used for the input image.
//
// For an example, see example3.
//
// This operation requires permissions to perform the rekognition:SearchFacesByImage
// action.
//
// Returns awserr.Error for service API and SDK errors. Use runtime type assertions
// with awserr.Error's Code and Message methods to get detailed information about
// the error.
//
// See the AWS API reference guide for Amazon Rekognition's
// API operation SearchFacesByImage for usage and error information.
//
// Returned Error Codes:
//   * ErrCodeInvalidS3ObjectException "InvalidS3ObjectException"
//   Amazon Rekognition is unable to access the S3 object specified in the request.
//
//   * ErrCodeInvalidParameterException "InvalidParameterException"
//   Input parameter violated a constraint. Validate your parameter before calling
//   the API operation again.
//
//   * ErrCodeImageTooLargeException "ImageTooLargeException"
//   The input image size exceeds the allowed limit. For more information, see
//   limits.
//
//   * ErrCodeAccessDeniedException "AccessDeniedException"
//   You are not authorized to perform the action.
//
//   * ErrCodeInternalServerError "InternalServerError"
//   Amazon Rekognition experienced a service issue. Try your call again.
//
//   * ErrCodeThrottlingException "ThrottlingException"
//   Amazon Rekognition is temporarily unable to process the request. Try your
//   call again.
//
//   * ErrCodeProvisionedThroughputExceededException "ProvisionedThroughputExceededException"
//   The number of requests exceeded your throughput limit. If you want to increase
//   this limit, contact Amazon Rekognition.
//
//   * ErrCodeResourceNotFoundException "ResourceNotFoundException"
//   Collection specified in the request is not found.
//
//   * ErrCodeInvalidImageFormatException "InvalidImageFormatException"
//   The provided image format is not supported.
//
func (c *Rekognition) SearchFacesByImage(input *SearchFacesByImageInput) (*SearchFacesByImageOutput, error) {
	req, out := c.SearchFacesByImageRequest(input)
	err := req.Send()
	return out, err
}

// Indicates whether or not the face has a beard, and the confidence level in
// the determination.
type Beard struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the face has beard or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s Beard) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Beard) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Beard) SetConfidence(v float64) *Beard {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Beard) SetValue(v bool) *Beard {
	s.Value = &v
	return s
}

// Identifies the bounding box around the object or face. The left (x-coordinate)
// and top (y-coordinate) are coordinates representing the top and left sides
// of the bounding box. Note that the upper-left corner of the image is the
// origin (0,0).
//
// The top and left values returned are ratios of the overall image size. For
// example, if the input image is 700x200 pixels, and the top-left coordinate
// of the bounding box is 350x50 pixels, the API returns a left value of 0.5
// (350/700) and a top value of 0.25 (50/200).
//
// The width and height values represent the dimensions of the bounding box
// as a ratio of the overall image dimension. For example, if the input image
// is 700x200 pixels, and the bounding box width is 70 pixels, the width returned
// is 0.1.
//
// The bounding box coordinates can have negative values. For example, if Amazon
// Rekognition is able to detect a face that is at the image edge and is only
// partially visible, the service can return coordinates that are outside the
// image bounds and, depending on the image edge, you might get negative values
// or values greater than 1 for the left or top values.
type BoundingBox struct {
	_ struct{} `type:"structure"`

	// Height of the bounding box as a ratio of the overall image height.
	Height *float64 `type:"float"`

	// Left coordinate of the bounding box as a ratio of overall image width.
	Left *float64 `type:"float"`

	// Top coordinate of the bounding box as a ratio of overall image height.
	Top *float64 `type:"float"`

	// Width of the bounding box as a ratio of the overall image width.
	Width *float64 `type:"float"`
}

// String returns the string representation
func (s BoundingBox) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s BoundingBox) GoString() string {
	return s.String()
}

// SetHeight sets the Height field's value.
func (s *BoundingBox) SetHeight(v float64) *BoundingBox {
	s.Height = &v
	return s
}

// SetLeft sets the Left field's value.
func (s *BoundingBox) SetLeft(v float64) *BoundingBox {
	s.Left = &v
	return s
}

// SetTop sets the Top field's value.
func (s *BoundingBox) SetTop(v float64) *BoundingBox {
	s.Top = &v
	return s
}

// SetWidth sets the Width field's value.
func (s *BoundingBox) SetWidth(v float64) *BoundingBox {
	s.Width = &v
	return s
}

type CompareFacesInput struct {
	_ struct{} `type:"structure"`

	// The minimum level of confidence in the match you want included in the result.
	SimilarityThreshold *float64 `type:"float"`

	// Source image either as bytes or an S3 object
	//
	// SourceImage is a required field
	SourceImage *Image `type:"structure" required:"true"`

	// Target image either as bytes or an S3 object
	//
	// TargetImage is a required field
	TargetImage *Image `type:"structure" required:"true"`
}

// String returns the string representation
func (s CompareFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s CompareFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *CompareFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "CompareFacesInput"}
	if s.SourceImage == nil {
		invalidParams.Add(request.NewErrParamRequired("SourceImage"))
	}
	if s.TargetImage == nil {
		invalidParams.Add(request.NewErrParamRequired("TargetImage"))
	}
	if s.SourceImage != nil {
		if err := s.SourceImage.Validate(); err != nil {
			invalidParams.AddNested("SourceImage", err.(request.ErrInvalidParams))
		}
	}
	if s.TargetImage != nil {
		if err := s.TargetImage.Validate(); err != nil {
			invalidParams.AddNested("TargetImage", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetSimilarityThreshold sets the SimilarityThreshold field's value.
func (s *CompareFacesInput) SetSimilarityThreshold(v float64) *CompareFacesInput {
	s.SimilarityThreshold = &v
	return s
}

// SetSourceImage sets the SourceImage field's value.
func (s *CompareFacesInput) SetSourceImage(v *Image) *CompareFacesInput {
	s.SourceImage = v
	return s
}

// SetTargetImage sets the TargetImage field's value.
func (s *CompareFacesInput) SetTargetImage(v *Image) *CompareFacesInput {
	s.TargetImage = v
	return s
}

// For the provided the bounding box, confidence level that the bounding box
// actually contains a face, and the similarity between the face in the bounding
// box and the face in the source image.
type CompareFacesMatch struct {
	_ struct{} `type:"structure"`

	// Provides face metadata (bounding box and confidence that the bounding box
	// actually contains a face).
	Face *ComparedFace `type:"structure"`

	// Level of confidence that the faces match.
	Similarity *float64 `type:"float"`
}

// String returns the string representation
func (s CompareFacesMatch) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s CompareFacesMatch) GoString() string {
	return s.String()
}

// SetFace sets the Face field's value.
func (s *CompareFacesMatch) SetFace(v *ComparedFace) *CompareFacesMatch {
	s.Face = v
	return s
}

// SetSimilarity sets the Similarity field's value.
func (s *CompareFacesMatch) SetSimilarity(v float64) *CompareFacesMatch {
	s.Similarity = &v
	return s
}

type CompareFacesOutput struct {
	_ struct{} `type:"structure"`

	// Provides an array of CompareFacesMatch objects. Each object provides the
	// bounding box, confidence that the bounding box contains a face, and the similarity
	// between the face in the bounding box and the face in the source image.
	FaceMatches []*CompareFacesMatch `type:"list"`

	// The face from the source image that was used for comparison.
	SourceImageFace *ComparedSourceImageFace `type:"structure"`
}

// String returns the string representation
func (s CompareFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s CompareFacesOutput) GoString() string {
	return s.String()
}

// SetFaceMatches sets the FaceMatches field's value.
func (s *CompareFacesOutput) SetFaceMatches(v []*CompareFacesMatch) *CompareFacesOutput {
	s.FaceMatches = v
	return s
}

// SetSourceImageFace sets the SourceImageFace field's value.
func (s *CompareFacesOutput) SetSourceImageFace(v *ComparedSourceImageFace) *CompareFacesOutput {
	s.SourceImageFace = v
	return s
}

// Provides face metadata (bounding box and confidence that the bounding box
// actually contains a face).
type ComparedFace struct {
	_ struct{} `type:"structure"`

	// Identifies the bounding box around the object or face. The left (x-coordinate)
	// and top (y-coordinate) are coordinates representing the top and left sides
	// of the bounding box. Note that the upper-left corner of the image is the
	// origin (0,0).
	//
	// The top and left values returned are ratios of the overall image size. For
	// example, if the input image is 700x200 pixels, and the top-left coordinate
	// of the bounding box is 350x50 pixels, the API returns a left value of 0.5
	// (350/700) and a top value of 0.25 (50/200).
	//
	// The width and height values represent the dimensions of the bounding box
	// as a ratio of the overall image dimension. For example, if the input image
	// is 700x200 pixels, and the bounding box width is 70 pixels, the width returned
	// is 0.1.
	//
	// The bounding box coordinates can have negative values. For example, if Amazon
	// Rekognition is able to detect a face that is at the image edge and is only
	// partially visible, the service can return coordinates that are outside the
	// image bounds and, depending on the image edge, you might get negative values
	// or values greater than 1 for the left or top values.
	BoundingBox *BoundingBox `type:"structure"`

	// Level of confidence that what the bounding box contains is a face.
	Confidence *float64 `type:"float"`
}

// String returns the string representation
func (s ComparedFace) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ComparedFace) GoString() string {
	return s.String()
}

// SetBoundingBox sets the BoundingBox field's value.
func (s *ComparedFace) SetBoundingBox(v *BoundingBox) *ComparedFace {
	s.BoundingBox = v
	return s
}

// SetConfidence sets the Confidence field's value.
func (s *ComparedFace) SetConfidence(v float64) *ComparedFace {
	s.Confidence = &v
	return s
}

// Type that describes the face Amazon Rekognition chose to compare with the
// faces in the target. This contains a bounding box for the selected face and
// confidence level that the bounding box contains a face. Note that Amazon
// Rekognition selects the largest face in the source image for this comparison.
type ComparedSourceImageFace struct {
	_ struct{} `type:"structure"`

	// Identifies the bounding box around the object or face. The left (x-coordinate)
	// and top (y-coordinate) are coordinates representing the top and left sides
	// of the bounding box. Note that the upper-left corner of the image is the
	// origin (0,0).
	//
	// The top and left values returned are ratios of the overall image size. For
	// example, if the input image is 700x200 pixels, and the top-left coordinate
	// of the bounding box is 350x50 pixels, the API returns a left value of 0.5
	// (350/700) and a top value of 0.25 (50/200).
	//
	// The width and height values represent the dimensions of the bounding box
	// as a ratio of the overall image dimension. For example, if the input image
	// is 700x200 pixels, and the bounding box width is 70 pixels, the width returned
	// is 0.1.
	//
	// The bounding box coordinates can have negative values. For example, if Amazon
	// Rekognition is able to detect a face that is at the image edge and is only
	// partially visible, the service can return coordinates that are outside the
	// image bounds and, depending on the image edge, you might get negative values
	// or values greater than 1 for the left or top values.
	BoundingBox *BoundingBox `type:"structure"`

	// Confidence level that the selected bounding box contains a face.
	Confidence *float64 `type:"float"`
}

// String returns the string representation
func (s ComparedSourceImageFace) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ComparedSourceImageFace) GoString() string {
	return s.String()
}

// SetBoundingBox sets the BoundingBox field's value.
func (s *ComparedSourceImageFace) SetBoundingBox(v *BoundingBox) *ComparedSourceImageFace {
	s.BoundingBox = v
	return s
}

// SetConfidence sets the Confidence field's value.
func (s *ComparedSourceImageFace) SetConfidence(v float64) *ComparedSourceImageFace {
	s.Confidence = &v
	return s
}

type CreateCollectionInput struct {
	_ struct{} `type:"structure"`

	// ID for the collection that you are creating.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`
}

// String returns the string representation
func (s CreateCollectionInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s CreateCollectionInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *CreateCollectionInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "CreateCollectionInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *CreateCollectionInput) SetCollectionId(v string) *CreateCollectionInput {
	s.CollectionId = &v
	return s
}

type CreateCollectionOutput struct {
	_ struct{} `type:"structure"`

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

	// HTTP status code indicating the result of the operation.
	StatusCode *int64 `type:"integer"`
}

// String returns the string representation
func (s CreateCollectionOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s CreateCollectionOutput) GoString() string {
	return s.String()
}

// SetCollectionArn sets the CollectionArn field's value.
func (s *CreateCollectionOutput) SetCollectionArn(v string) *CreateCollectionOutput {
	s.CollectionArn = &v
	return s
}

// SetStatusCode sets the StatusCode field's value.
func (s *CreateCollectionOutput) SetStatusCode(v int64) *CreateCollectionOutput {
	s.StatusCode = &v
	return s
}

type DeleteCollectionInput struct {
	_ struct{} `type:"structure"`

	// ID of the collection to delete.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`
}

// String returns the string representation
func (s DeleteCollectionInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DeleteCollectionInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *DeleteCollectionInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "DeleteCollectionInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *DeleteCollectionInput) SetCollectionId(v string) *DeleteCollectionInput {
	s.CollectionId = &v
	return s
}

type DeleteCollectionOutput struct {
	_ struct{} `type:"structure"`

	// HTTP status code that indicates the result of the operation.
	StatusCode *int64 `type:"integer"`
}

// String returns the string representation
func (s DeleteCollectionOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DeleteCollectionOutput) GoString() string {
	return s.String()
}

// SetStatusCode sets the StatusCode field's value.
func (s *DeleteCollectionOutput) SetStatusCode(v int64) *DeleteCollectionOutput {
	s.StatusCode = &v
	return s
}

type DeleteFacesInput struct {
	_ struct{} `type:"structure"`

	// Collection from which to remove the specific faces.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`

	// An array of face IDs to delete.
	//
	// FaceIds is a required field
	FaceIds []*string `min:"1" type:"list" required:"true"`
}

// String returns the string representation
func (s DeleteFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DeleteFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *DeleteFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "DeleteFacesInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}
	if s.FaceIds == nil {
		invalidParams.Add(request.NewErrParamRequired("FaceIds"))
	}
	if s.FaceIds != nil && len(s.FaceIds) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("FaceIds", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *DeleteFacesInput) SetCollectionId(v string) *DeleteFacesInput {
	s.CollectionId = &v
	return s
}

// SetFaceIds sets the FaceIds field's value.
func (s *DeleteFacesInput) SetFaceIds(v []*string) *DeleteFacesInput {
	s.FaceIds = v
	return s
}

type DeleteFacesOutput struct {
	_ struct{} `type:"structure"`

	// An array of strings (face IDs) of the faces that were deleted.
	DeletedFaces []*string `min:"1" type:"list"`
}

// String returns the string representation
func (s DeleteFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DeleteFacesOutput) GoString() string {
	return s.String()
}

// SetDeletedFaces sets the DeletedFaces field's value.
func (s *DeleteFacesOutput) SetDeletedFaces(v []*string) *DeleteFacesOutput {
	s.DeletedFaces = v
	return s
}

type DetectFacesInput struct {
	_ struct{} `type:"structure"`

	// A list of facial attributes you would like to be returned. By default, the
	// API returns subset of facial attributes.
	//
	// For example, you can specify the value as, ["ALL"] or ["DEFAULT"]. If you
	// provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator
	// to determine which attributes to return (in this case, it is all attributes).
	// If you specify all attributes, Amazon Rekognition performs additional detection.
	Attributes []*string `type:"list"`

	// The image in which you want to detect faces. You can specify a blob or an
	// S3 object.
	//
	// Image is a required field
	Image *Image `type:"structure" required:"true"`
}

// String returns the string representation
func (s DetectFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DetectFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *DetectFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "DetectFacesInput"}
	if s.Image == nil {
		invalidParams.Add(request.NewErrParamRequired("Image"))
	}
	if s.Image != nil {
		if err := s.Image.Validate(); err != nil {
			invalidParams.AddNested("Image", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetAttributes sets the Attributes field's value.
func (s *DetectFacesInput) SetAttributes(v []*string) *DetectFacesInput {
	s.Attributes = v
	return s
}

// SetImage sets the Image field's value.
func (s *DetectFacesInput) SetImage(v *Image) *DetectFacesInput {
	s.Image = v
	return s
}

type DetectFacesOutput struct {
	_ struct{} `type:"structure"`

	// Details of each face found in the image.
	FaceDetails []*FaceDetail `type:"list"`

	// The algorithm detects the image orientation. If it detects that the image
	// was rotated, it returns the degrees of rotation. If your application is displaying
	// the image, you can use this value to adjust the orientation.
	//
	// For example, if the service detects that the input image was rotated by 90
	// degrees, it corrects orientation, performs face detection, and then returns
	// the faces. That is, the bounding box coordinates in the response are based
	// on the corrected orientation.
	//
	// If the source image Exif metadata populates the orientation field, Amazon
	// Rekognition does not perform orientation correction and the value of OrientationCorrection
	// will be nil.
	OrientationCorrection *string `type:"string" enum:"OrientationCorrection"`
}

// String returns the string representation
func (s DetectFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DetectFacesOutput) GoString() string {
	return s.String()
}

// SetFaceDetails sets the FaceDetails field's value.
func (s *DetectFacesOutput) SetFaceDetails(v []*FaceDetail) *DetectFacesOutput {
	s.FaceDetails = v
	return s
}

// SetOrientationCorrection sets the OrientationCorrection field's value.
func (s *DetectFacesOutput) SetOrientationCorrection(v string) *DetectFacesOutput {
	s.OrientationCorrection = &v
	return s
}

type DetectLabelsInput struct {
	_ struct{} `type:"structure"`

	// The input image. You can provide a blob of image bytes or an S3 object.
	//
	// Image is a required field
	Image *Image `type:"structure" required:"true"`

	// Maximum number of labels you want the service to return in the response.
	// The service returns the specified number of highest confidence labels.
	MaxLabels *int64 `type:"integer"`

	// Specifies the minimum confidence level for the labels to return. Amazon Rekognition
	// doesn't return any labels with confidence lower than this specified value.
	//
	// If minConfidence is not specified, the operation returns labels with a confidence
	// values greater than or equal to 50 percent.
	MinConfidence *float64 `type:"float"`
}

// String returns the string representation
func (s DetectLabelsInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DetectLabelsInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *DetectLabelsInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "DetectLabelsInput"}
	if s.Image == nil {
		invalidParams.Add(request.NewErrParamRequired("Image"))
	}
	if s.Image != nil {
		if err := s.Image.Validate(); err != nil {
			invalidParams.AddNested("Image", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetImage sets the Image field's value.
func (s *DetectLabelsInput) SetImage(v *Image) *DetectLabelsInput {
	s.Image = v
	return s
}

// SetMaxLabels sets the MaxLabels field's value.
func (s *DetectLabelsInput) SetMaxLabels(v int64) *DetectLabelsInput {
	s.MaxLabels = &v
	return s
}

// SetMinConfidence sets the MinConfidence field's value.
func (s *DetectLabelsInput) SetMinConfidence(v float64) *DetectLabelsInput {
	s.MinConfidence = &v
	return s
}

type DetectLabelsOutput struct {
	_ struct{} `type:"structure"`

	// An array of labels for the real-world objects detected.
	Labels []*Label `type:"list"`

	// Amazon Rekognition returns the orientation of the input image that was detected
	// (clockwise direction). If your application displays the image, you can use
	// this value to correct the orientation. If Amazon Rekognition detects that
	// the input image was rotated (for example, by 90 degrees), it first corrects
	// the orientation before detecting the labels.
	//
	// If the source image Exif metadata populates the orientation field, Amazon
	// Rekognition does not perform orientation correction and the value of OrientationCorrection
	// will be nil.
	OrientationCorrection *string `type:"string" enum:"OrientationCorrection"`
}

// String returns the string representation
func (s DetectLabelsOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s DetectLabelsOutput) GoString() string {
	return s.String()
}

// SetLabels sets the Labels field's value.
func (s *DetectLabelsOutput) SetLabels(v []*Label) *DetectLabelsOutput {
	s.Labels = v
	return s
}

// SetOrientationCorrection sets the OrientationCorrection field's value.
func (s *DetectLabelsOutput) SetOrientationCorrection(v string) *DetectLabelsOutput {
	s.OrientationCorrection = &v
	return s
}

// The emotions detected on the face, and the confidence level in the determination.
// For example, HAPPY, SAD, and ANGRY.
type Emotion struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Type of emotion detected.
	Type *string `type:"string" enum:"EmotionName"`
}

// String returns the string representation
func (s Emotion) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Emotion) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Emotion) SetConfidence(v float64) *Emotion {
	s.Confidence = &v
	return s
}

// SetType sets the Type field's value.
func (s *Emotion) SetType(v string) *Emotion {
	s.Type = &v
	return s
}

// Indicates whether or not the eyes on the face are open, and the confidence
// level in the determination.
type EyeOpen struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the eyes on the face are open.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s EyeOpen) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s EyeOpen) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *EyeOpen) SetConfidence(v float64) *EyeOpen {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *EyeOpen) SetValue(v bool) *EyeOpen {
	s.Value = &v
	return s
}

// Indicates whether or not the face is wearing eye glasses, and the confidence
// level in the determination.
type Eyeglasses struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the face is wearing eye glasses or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s Eyeglasses) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Eyeglasses) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Eyeglasses) SetConfidence(v float64) *Eyeglasses {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Eyeglasses) SetValue(v bool) *Eyeglasses {
	s.Value = &v
	return s
}

// Describes the face properties such as the bounding box, face ID, image ID
// of the source image, and external image ID that you assigned.
type Face struct {
	_ struct{} `type:"structure"`

	// Identifies the bounding box around the object or face. The left (x-coordinate)
	// and top (y-coordinate) are coordinates representing the top and left sides
	// of the bounding box. Note that the upper-left corner of the image is the
	// origin (0,0).
	//
	// The top and left values returned are ratios of the overall image size. For
	// example, if the input image is 700x200 pixels, and the top-left coordinate
	// of the bounding box is 350x50 pixels, the API returns a left value of 0.5
	// (350/700) and a top value of 0.25 (50/200).
	//
	// The width and height values represent the dimensions of the bounding box
	// as a ratio of the overall image dimension. For example, if the input image
	// is 700x200 pixels, and the bounding box width is 70 pixels, the width returned
	// is 0.1.
	//
	// The bounding box coordinates can have negative values. For example, if Amazon
	// Rekognition is able to detect a face that is at the image edge and is only
	// partially visible, the service can return coordinates that are outside the
	// image bounds and, depending on the image edge, you might get negative values
	// or values greater than 1 for the left or top values.
	BoundingBox *BoundingBox `type:"structure"`

	// Confidence level that the bounding box contains a face (and not a different
	// object such as a tree).
	Confidence *float64 `type:"float"`

	// Identifier that you assign to all the faces in the input image.
	ExternalImageId *string `min:"1" type:"string"`

	// Unique identifier that Amazon Rekognition assigns to the face.
	FaceId *string `type:"string"`

	// Unique identifier that Amazon Rekognition assigns to the source image.
	ImageId *string `type:"string"`
}

// String returns the string representation
func (s Face) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Face) GoString() string {
	return s.String()
}

// SetBoundingBox sets the BoundingBox field's value.
func (s *Face) SetBoundingBox(v *BoundingBox) *Face {
	s.BoundingBox = v
	return s
}

// SetConfidence sets the Confidence field's value.
func (s *Face) SetConfidence(v float64) *Face {
	s.Confidence = &v
	return s
}

// SetExternalImageId sets the ExternalImageId field's value.
func (s *Face) SetExternalImageId(v string) *Face {
	s.ExternalImageId = &v
	return s
}

// SetFaceId sets the FaceId field's value.
func (s *Face) SetFaceId(v string) *Face {
	s.FaceId = &v
	return s
}

// SetImageId sets the ImageId field's value.
func (s *Face) SetImageId(v string) *Face {
	s.ImageId = &v
	return s
}

// Structure containing attributes of the face that the algorithm detected.
type FaceDetail struct {
	_ struct{} `type:"structure"`

	// Indicates whether or not the face has a beard, and the confidence level in
	// the determination.
	Beard *Beard `type:"structure"`

	// Bounding box of the face.
	BoundingBox *BoundingBox `type:"structure"`

	// Confidence level that the bounding box contains a face (and not a different
	// object such as a tree).
	Confidence *float64 `type:"float"`

	// The emotions detected on the face, and the confidence level in the determination.
	// For example, HAPPY, SAD, and ANGRY.
	Emotions []*Emotion `type:"list"`

	// Indicates whether or not the face is wearing eye glasses, and the confidence
	// level in the determination.
	Eyeglasses *Eyeglasses `type:"structure"`

	// Indicates whether or not the eyes on the face are open, and the confidence
	// level in the determination.
	EyesOpen *EyeOpen `type:"structure"`

	// Gender of the face and the confidence level in the determination.
	Gender *Gender `type:"structure"`

	// Indicates the location of the landmark on the face.
	Landmarks []*Landmark `type:"list"`

	// Indicates whether or not the mouth on the face is open, and the confidence
	// level in the determination.
	MouthOpen *MouthOpen `type:"structure"`

	// Indicates whether or not the face has a mustache, and the confidence level
	// in the determination.
	Mustache *Mustache `type:"structure"`

	// Indicates the pose of the face as determined by pitch, roll, and the yaw.
	Pose *Pose `type:"structure"`

	// Identifies image brightness and sharpness.
	Quality *ImageQuality `type:"structure"`

	// Indicates whether or not the face is smiling, and the confidence level in
	// the determination.
	Smile *Smile `type:"structure"`

	// Indicates whether or not the face is wearing sunglasses, and the confidence
	// level in the determination.
	Sunglasses *Sunglasses `type:"structure"`
}

// String returns the string representation
func (s FaceDetail) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s FaceDetail) GoString() string {
	return s.String()
}

// SetBeard sets the Beard field's value.
func (s *FaceDetail) SetBeard(v *Beard) *FaceDetail {
	s.Beard = v
	return s
}

// SetBoundingBox sets the BoundingBox field's value.
func (s *FaceDetail) SetBoundingBox(v *BoundingBox) *FaceDetail {
	s.BoundingBox = v
	return s
}

// SetConfidence sets the Confidence field's value.
func (s *FaceDetail) SetConfidence(v float64) *FaceDetail {
	s.Confidence = &v
	return s
}

// SetEmotions sets the Emotions field's value.
func (s *FaceDetail) SetEmotions(v []*Emotion) *FaceDetail {
	s.Emotions = v
	return s
}

// SetEyeglasses sets the Eyeglasses field's value.
func (s *FaceDetail) SetEyeglasses(v *Eyeglasses) *FaceDetail {
	s.Eyeglasses = v
	return s
}

// SetEyesOpen sets the EyesOpen field's value.
func (s *FaceDetail) SetEyesOpen(v *EyeOpen) *FaceDetail {
	s.EyesOpen = v
	return s
}

// SetGender sets the Gender field's value.
func (s *FaceDetail) SetGender(v *Gender) *FaceDetail {
	s.Gender = v
	return s
}

// SetLandmarks sets the Landmarks field's value.
func (s *FaceDetail) SetLandmarks(v []*Landmark) *FaceDetail {
	s.Landmarks = v
	return s
}

// SetMouthOpen sets the MouthOpen field's value.
func (s *FaceDetail) SetMouthOpen(v *MouthOpen) *FaceDetail {
	s.MouthOpen = v
	return s
}

// SetMustache sets the Mustache field's value.
func (s *FaceDetail) SetMustache(v *Mustache) *FaceDetail {
	s.Mustache = v
	return s
}

// SetPose sets the Pose field's value.
func (s *FaceDetail) SetPose(v *Pose) *FaceDetail {
	s.Pose = v
	return s
}

// SetQuality sets the Quality field's value.
func (s *FaceDetail) SetQuality(v *ImageQuality) *FaceDetail {
	s.Quality = v
	return s
}

// SetSmile sets the Smile field's value.
func (s *FaceDetail) SetSmile(v *Smile) *FaceDetail {
	s.Smile = v
	return s
}

// SetSunglasses sets the Sunglasses field's value.
func (s *FaceDetail) SetSunglasses(v *Sunglasses) *FaceDetail {
	s.Sunglasses = v
	return s
}

// Provides face metadata. In addition, it also provides the confidence in the
// match of this face with the input face.
type FaceMatch struct {
	_ struct{} `type:"structure"`

	// Describes the face properties such as the bounding box, face ID, image ID
	// of the source image, and external image ID that you assigned.
	Face *Face `type:"structure"`

	// Confidence in the match of this face with the input face.
	Similarity *float64 `type:"float"`
}

// String returns the string representation
func (s FaceMatch) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s FaceMatch) GoString() string {
	return s.String()
}

// SetFace sets the Face field's value.
func (s *FaceMatch) SetFace(v *Face) *FaceMatch {
	s.Face = v
	return s
}

// SetSimilarity sets the Similarity field's value.
func (s *FaceMatch) SetSimilarity(v float64) *FaceMatch {
	s.Similarity = &v
	return s
}

// Object containing both the face metadata (stored in the back-end database)
// and facial attributes that are detected but aren't stored in the database.
type FaceRecord struct {
	_ struct{} `type:"structure"`

	// Describes the face properties such as the bounding box, face ID, image ID
	// of the source image, and external image ID that you assigned.
	Face *Face `type:"structure"`

	// Structure containing attributes of the face that the algorithm detected.
	FaceDetail *FaceDetail `type:"structure"`
}

// String returns the string representation
func (s FaceRecord) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s FaceRecord) GoString() string {
	return s.String()
}

// SetFace sets the Face field's value.
func (s *FaceRecord) SetFace(v *Face) *FaceRecord {
	s.Face = v
	return s
}

// SetFaceDetail sets the FaceDetail field's value.
func (s *FaceRecord) SetFaceDetail(v *FaceDetail) *FaceRecord {
	s.FaceDetail = v
	return s
}

// Gender of the face and the confidence level in the determination.
type Gender struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Gender of the face.
	Value *string `type:"string" enum:"GenderType"`
}

// String returns the string representation
func (s Gender) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Gender) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Gender) SetConfidence(v float64) *Gender {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Gender) SetValue(v string) *Gender {
	s.Value = &v
	return s
}

// Provides the source image either as bytes or an S3 object.
//
// The region for the S3 bucket containing the S3 object must match the region
// you use for Amazon Rekognition operations.
//
// You may need to Base64-encode the image bytes depending on the language you
// are using and whether or not you are using the AWS SDK. For more information,
// see example4.
//
// If you use the Amazon 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 manage-access-resource-policies.
type Image struct {
	_ struct{} `type:"structure"`

	// Blob of image bytes up to 5 MBs.
	//
	// Bytes is automatically base64 encoded/decoded by the SDK.
	Bytes []byte `min:"1" type:"blob"`

	// Identifies an S3 object as the image source.
	S3Object *S3Object `type:"structure"`
}

// String returns the string representation
func (s Image) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Image) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *Image) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "Image"}
	if s.Bytes != nil && len(s.Bytes) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("Bytes", 1))
	}
	if s.S3Object != nil {
		if err := s.S3Object.Validate(); err != nil {
			invalidParams.AddNested("S3Object", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetBytes sets the Bytes field's value.
func (s *Image) SetBytes(v []byte) *Image {
	s.Bytes = v
	return s
}

// SetS3Object sets the S3Object field's value.
func (s *Image) SetS3Object(v *S3Object) *Image {
	s.S3Object = v
	return s
}

// Identifies image brightness and sharpness.
type ImageQuality struct {
	_ struct{} `type:"structure"`

	// Value representing brightness of the face. The service returns a value between
	// 0 and 1 (inclusive).
	Brightness *float64 `type:"float"`

	// Value representing sharpness of the face.
	Sharpness *float64 `type:"float"`
}

// String returns the string representation
func (s ImageQuality) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ImageQuality) GoString() string {
	return s.String()
}

// SetBrightness sets the Brightness field's value.
func (s *ImageQuality) SetBrightness(v float64) *ImageQuality {
	s.Brightness = &v
	return s
}

// SetSharpness sets the Sharpness field's value.
func (s *ImageQuality) SetSharpness(v float64) *ImageQuality {
	s.Sharpness = &v
	return s
}

type IndexFacesInput struct {
	_ struct{} `type:"structure"`

	// ID of an existing collection to which you want to add the faces that are
	// detected in the input images.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`

	// (Optional) Returns detailed attributes of indexed faces. By default, the
	// operation returns a subset of the facial attributes.
	//
	// For example, you can specify the value as, ["ALL"] or ["DEFAULT"]. If you
	// provide both, ["ALL", "DEFAULT"], Amazon Rekognition uses the logical AND
	// operator to determine which attributes to return (in this case, it is all
	// attributes). If you specify all attributes, the service performs additional
	// detection, in addition to the default.
	DetectionAttributes []*string `type:"list"`

	// ID you want to assign to all the faces detected in the image.
	ExternalImageId *string `min:"1" type:"string"`

	// Provides the source image either as bytes or an S3 object.
	//
	// The region for the S3 bucket containing the S3 object must match the region
	// you use for Amazon Rekognition operations.
	//
	// You may need to Base64-encode the image bytes depending on the language you
	// are using and whether or not you are using the AWS SDK. For more information,
	// see example4.
	//
	// If you use the Amazon 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 manage-access-resource-policies.
	//
	// Image is a required field
	Image *Image `type:"structure" required:"true"`
}

// String returns the string representation
func (s IndexFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s IndexFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *IndexFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "IndexFacesInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}
	if s.ExternalImageId != nil && len(*s.ExternalImageId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("ExternalImageId", 1))
	}
	if s.Image == nil {
		invalidParams.Add(request.NewErrParamRequired("Image"))
	}
	if s.Image != nil {
		if err := s.Image.Validate(); err != nil {
			invalidParams.AddNested("Image", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *IndexFacesInput) SetCollectionId(v string) *IndexFacesInput {
	s.CollectionId = &v
	return s
}

// SetDetectionAttributes sets the DetectionAttributes field's value.
func (s *IndexFacesInput) SetDetectionAttributes(v []*string) *IndexFacesInput {
	s.DetectionAttributes = v
	return s
}

// SetExternalImageId sets the ExternalImageId field's value.
func (s *IndexFacesInput) SetExternalImageId(v string) *IndexFacesInput {
	s.ExternalImageId = &v
	return s
}

// SetImage sets the Image field's value.
func (s *IndexFacesInput) SetImage(v *Image) *IndexFacesInput {
	s.Image = v
	return s
}

type IndexFacesOutput struct {
	_ struct{} `type:"structure"`

	// An array of faces detected and added to the collection. For more information,
	// see howitworks-index-faces.
	FaceRecords []*FaceRecord `type:"list"`

	// The algorithm detects the image orientation. If it detects that the image
	// was rotated, it returns the degree of rotation. You can use this value to
	// correct the orientation and also appropriately analyze the bounding box coordinates
	// that are returned.
	//
	// If the source image Exif metadata populates the orientation field, Amazon
	// Rekognition does not perform orientation correction and the value of OrientationCorrection
	// will be nil.
	OrientationCorrection *string `type:"string" enum:"OrientationCorrection"`
}

// String returns the string representation
func (s IndexFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s IndexFacesOutput) GoString() string {
	return s.String()
}

// SetFaceRecords sets the FaceRecords field's value.
func (s *IndexFacesOutput) SetFaceRecords(v []*FaceRecord) *IndexFacesOutput {
	s.FaceRecords = v
	return s
}

// SetOrientationCorrection sets the OrientationCorrection field's value.
func (s *IndexFacesOutput) SetOrientationCorrection(v string) *IndexFacesOutput {
	s.OrientationCorrection = &v
	return s
}

// Structure containing details about the detected label, including name, and
// level of confidence.
type Label struct {
	_ struct{} `type:"structure"`

	// Level of confidence.
	Confidence *float64 `type:"float"`

	// The name (label) of the object.
	Name *string `type:"string"`
}

// String returns the string representation
func (s Label) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Label) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Label) SetConfidence(v float64) *Label {
	s.Confidence = &v
	return s
}

// SetName sets the Name field's value.
func (s *Label) SetName(v string) *Label {
	s.Name = &v
	return s
}

// Indicates the location of the landmark on the face.
type Landmark struct {
	_ struct{} `type:"structure"`

	// Type of the landmark.
	Type *string `type:"string" enum:"LandmarkType"`

	// x-coordinate from the top left of the landmark expressed as the ration of
	// the width of the image. For example, if the images is 700x200 and the x-coordinate
	// of the landmark is at 350 pixels, this value is 0.5.
	X *float64 `type:"float"`

	// y-coordinate from the top left of the landmark expressed as the ration of
	// the height of the image. For example, if the images is 700x200 and the y-coordinate
	// of the landmark is at 100 pixels, this value is 0.5.
	Y *float64 `type:"float"`
}

// String returns the string representation
func (s Landmark) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Landmark) GoString() string {
	return s.String()
}

// SetType sets the Type field's value.
func (s *Landmark) SetType(v string) *Landmark {
	s.Type = &v
	return s
}

// SetX sets the X field's value.
func (s *Landmark) SetX(v float64) *Landmark {
	s.X = &v
	return s
}

// SetY sets the Y field's value.
func (s *Landmark) SetY(v float64) *Landmark {
	s.Y = &v
	return s
}

type ListCollectionsInput struct {
	_ struct{} `type:"structure"`

	// Maximum number of collection IDs to return.
	MaxResults *int64 `type:"integer"`

	// Pagination token from the previous response.
	NextToken *string `type:"string"`
}

// String returns the string representation
func (s ListCollectionsInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ListCollectionsInput) GoString() string {
	return s.String()
}

// SetMaxResults sets the MaxResults field's value.
func (s *ListCollectionsInput) SetMaxResults(v int64) *ListCollectionsInput {
	s.MaxResults = &v
	return s
}

// SetNextToken sets the NextToken field's value.
func (s *ListCollectionsInput) SetNextToken(v string) *ListCollectionsInput {
	s.NextToken = &v
	return s
}

type ListCollectionsOutput struct {
	_ struct{} `type:"structure"`

	// An array of collection IDs.
	CollectionIds []*string `type:"list"`

	// If the result is truncated, the response provides a NextToken that you can
	// use in the subsequent request to fetch the next set of collection IDs.
	NextToken *string `type:"string"`
}

// String returns the string representation
func (s ListCollectionsOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ListCollectionsOutput) GoString() string {
	return s.String()
}

// SetCollectionIds sets the CollectionIds field's value.
func (s *ListCollectionsOutput) SetCollectionIds(v []*string) *ListCollectionsOutput {
	s.CollectionIds = v
	return s
}

// SetNextToken sets the NextToken field's value.
func (s *ListCollectionsOutput) SetNextToken(v string) *ListCollectionsOutput {
	s.NextToken = &v
	return s
}

type ListFacesInput struct {
	_ struct{} `type:"structure"`

	// ID of the collection from which to list the faces.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`

	// Maximum number of faces to return.
	MaxResults *int64 `type:"integer"`

	// If the previous response was incomplete (because there is more data to retrieve),
	// Amazon Rekognition returns a pagination token in the response. You can use
	// this pagination token to retrieve the next set of faces.
	NextToken *string `type:"string"`
}

// String returns the string representation
func (s ListFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ListFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *ListFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "ListFacesInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *ListFacesInput) SetCollectionId(v string) *ListFacesInput {
	s.CollectionId = &v
	return s
}

// SetMaxResults sets the MaxResults field's value.
func (s *ListFacesInput) SetMaxResults(v int64) *ListFacesInput {
	s.MaxResults = &v
	return s
}

// SetNextToken sets the NextToken field's value.
func (s *ListFacesInput) SetNextToken(v string) *ListFacesInput {
	s.NextToken = &v
	return s
}

type ListFacesOutput struct {
	_ struct{} `type:"structure"`

	// An array of Face objects.
	Faces []*Face `type:"list"`

	// If the response is truncated, Amazon Rekognition returns this token that
	// you can use in the subsequent request to retrieve the next set of faces.
	NextToken *string `type:"string"`
}

// String returns the string representation
func (s ListFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s ListFacesOutput) GoString() string {
	return s.String()
}

// SetFaces sets the Faces field's value.
func (s *ListFacesOutput) SetFaces(v []*Face) *ListFacesOutput {
	s.Faces = v
	return s
}

// SetNextToken sets the NextToken field's value.
func (s *ListFacesOutput) SetNextToken(v string) *ListFacesOutput {
	s.NextToken = &v
	return s
}

// Indicates whether or not the mouth on the face is open, and the confidence
// level in the determination.
type MouthOpen struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the mouth on the face is open or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s MouthOpen) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s MouthOpen) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *MouthOpen) SetConfidence(v float64) *MouthOpen {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *MouthOpen) SetValue(v bool) *MouthOpen {
	s.Value = &v
	return s
}

// Indicates whether or not the face has a mustache, and the confidence level
// in the determination.
type Mustache struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the face has mustache or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s Mustache) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Mustache) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Mustache) SetConfidence(v float64) *Mustache {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Mustache) SetValue(v bool) *Mustache {
	s.Value = &v
	return s
}

// Indicates the pose of the face as determined by pitch, roll, and the yaw.
type Pose struct {
	_ struct{} `type:"structure"`

	// Value representing the face rotation on the pitch axis.
	Pitch *float64 `type:"float"`

	// Value representing the face rotation on the roll axis.
	Roll *float64 `type:"float"`

	// Value representing the face rotation on the yaw axis.
	Yaw *float64 `type:"float"`
}

// String returns the string representation
func (s Pose) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Pose) GoString() string {
	return s.String()
}

// SetPitch sets the Pitch field's value.
func (s *Pose) SetPitch(v float64) *Pose {
	s.Pitch = &v
	return s
}

// SetRoll sets the Roll field's value.
func (s *Pose) SetRoll(v float64) *Pose {
	s.Roll = &v
	return s
}

// SetYaw sets the Yaw field's value.
func (s *Pose) SetYaw(v float64) *Pose {
	s.Yaw = &v
	return s
}

// Provides the S3 bucket name and object name.
//
// The region for the S3 bucket containing the S3 object must match the region
// you use for Amazon Rekognition operations.
//
// For Amazon Rekognition to process an S3 object, the user must have permission
// to access the S3 object. For more information, see manage-access-resource-policies.
type S3Object struct {
	_ struct{} `type:"structure"`

	// Name of the S3 bucket.
	Bucket *string `min:"3" type:"string"`

	// S3 object key name.
	Name *string `min:"1" type:"string"`

	// If the bucket is versioning enabled, you can specify the object version.
	Version *string `min:"1" type:"string"`
}

// String returns the string representation
func (s S3Object) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s S3Object) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *S3Object) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "S3Object"}
	if s.Bucket != nil && len(*s.Bucket) < 3 {
		invalidParams.Add(request.NewErrParamMinLen("Bucket", 3))
	}
	if s.Name != nil && len(*s.Name) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("Name", 1))
	}
	if s.Version != nil && len(*s.Version) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("Version", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetBucket sets the Bucket field's value.
func (s *S3Object) SetBucket(v string) *S3Object {
	s.Bucket = &v
	return s
}

// SetName sets the Name field's value.
func (s *S3Object) SetName(v string) *S3Object {
	s.Name = &v
	return s
}

// SetVersion sets the Version field's value.
func (s *S3Object) SetVersion(v string) *S3Object {
	s.Version = &v
	return s
}

type SearchFacesByImageInput struct {
	_ struct{} `type:"structure"`

	// ID of the collection to search.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`

	// (Optional) Specifies the minimum confidence in the face match to return.
	// For example, don't return any matches where confidence in matches is less
	// than 70%.
	FaceMatchThreshold *float64 `type:"float"`

	// Provides the source image either as bytes or an S3 object.
	//
	// The region for the S3 bucket containing the S3 object must match the region
	// you use for Amazon Rekognition operations.
	//
	// You may need to Base64-encode the image bytes depending on the language you
	// are using and whether or not you are using the AWS SDK. For more information,
	// see example4.
	//
	// If you use the Amazon 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 manage-access-resource-policies.
	//
	// Image is a required field
	Image *Image `type:"structure" required:"true"`

	// Maximum number of faces to return. The operation returns the maximum number
	// of faces with the highest confidence in the match.
	MaxFaces *int64 `min:"1" type:"integer"`
}

// String returns the string representation
func (s SearchFacesByImageInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s SearchFacesByImageInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *SearchFacesByImageInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "SearchFacesByImageInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}
	if s.Image == nil {
		invalidParams.Add(request.NewErrParamRequired("Image"))
	}
	if s.MaxFaces != nil && *s.MaxFaces < 1 {
		invalidParams.Add(request.NewErrParamMinValue("MaxFaces", 1))
	}
	if s.Image != nil {
		if err := s.Image.Validate(); err != nil {
			invalidParams.AddNested("Image", err.(request.ErrInvalidParams))
		}
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *SearchFacesByImageInput) SetCollectionId(v string) *SearchFacesByImageInput {
	s.CollectionId = &v
	return s
}

// SetFaceMatchThreshold sets the FaceMatchThreshold field's value.
func (s *SearchFacesByImageInput) SetFaceMatchThreshold(v float64) *SearchFacesByImageInput {
	s.FaceMatchThreshold = &v
	return s
}

// SetImage sets the Image field's value.
func (s *SearchFacesByImageInput) SetImage(v *Image) *SearchFacesByImageInput {
	s.Image = v
	return s
}

// SetMaxFaces sets the MaxFaces field's value.
func (s *SearchFacesByImageInput) SetMaxFaces(v int64) *SearchFacesByImageInput {
	s.MaxFaces = &v
	return s
}

type SearchFacesByImageOutput struct {
	_ struct{} `type:"structure"`

	// An array of faces that match the input face, along with the confidence in
	// the match.
	FaceMatches []*FaceMatch `type:"list"`

	// The bounding box around the face in the input image that Amazon Rekognition
	// used for the search.
	SearchedFaceBoundingBox *BoundingBox `type:"structure"`

	// The level of confidence that the searchedFaceBoundingBox, contains a face.
	SearchedFaceConfidence *float64 `type:"float"`
}

// String returns the string representation
func (s SearchFacesByImageOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s SearchFacesByImageOutput) GoString() string {
	return s.String()
}

// SetFaceMatches sets the FaceMatches field's value.
func (s *SearchFacesByImageOutput) SetFaceMatches(v []*FaceMatch) *SearchFacesByImageOutput {
	s.FaceMatches = v
	return s
}

// SetSearchedFaceBoundingBox sets the SearchedFaceBoundingBox field's value.
func (s *SearchFacesByImageOutput) SetSearchedFaceBoundingBox(v *BoundingBox) *SearchFacesByImageOutput {
	s.SearchedFaceBoundingBox = v
	return s
}

// SetSearchedFaceConfidence sets the SearchedFaceConfidence field's value.
func (s *SearchFacesByImageOutput) SetSearchedFaceConfidence(v float64) *SearchFacesByImageOutput {
	s.SearchedFaceConfidence = &v
	return s
}

type SearchFacesInput struct {
	_ struct{} `type:"structure"`

	// ID of the collection the face belongs to.
	//
	// CollectionId is a required field
	CollectionId *string `min:"1" type:"string" required:"true"`

	// ID of a face to find matches for in the collection.
	//
	// FaceId is a required field
	FaceId *string `type:"string" required:"true"`

	// Optional value specifying the minimum confidence in the face match to return.
	// For example, don't return any matches where confidence in matches is less
	// than 70%.
	FaceMatchThreshold *float64 `type:"float"`

	// Maximum number of faces to return. The operation returns the maximum number
	// of faces with the highest confidence in the match.
	MaxFaces *int64 `min:"1" type:"integer"`
}

// String returns the string representation
func (s SearchFacesInput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s SearchFacesInput) GoString() string {
	return s.String()
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *SearchFacesInput) Validate() error {
	invalidParams := request.ErrInvalidParams{Context: "SearchFacesInput"}
	if s.CollectionId == nil {
		invalidParams.Add(request.NewErrParamRequired("CollectionId"))
	}
	if s.CollectionId != nil && len(*s.CollectionId) < 1 {
		invalidParams.Add(request.NewErrParamMinLen("CollectionId", 1))
	}
	if s.FaceId == nil {
		invalidParams.Add(request.NewErrParamRequired("FaceId"))
	}
	if s.MaxFaces != nil && *s.MaxFaces < 1 {
		invalidParams.Add(request.NewErrParamMinValue("MaxFaces", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

// SetCollectionId sets the CollectionId field's value.
func (s *SearchFacesInput) SetCollectionId(v string) *SearchFacesInput {
	s.CollectionId = &v
	return s
}

// SetFaceId sets the FaceId field's value.
func (s *SearchFacesInput) SetFaceId(v string) *SearchFacesInput {
	s.FaceId = &v
	return s
}

// SetFaceMatchThreshold sets the FaceMatchThreshold field's value.
func (s *SearchFacesInput) SetFaceMatchThreshold(v float64) *SearchFacesInput {
	s.FaceMatchThreshold = &v
	return s
}

// SetMaxFaces sets the MaxFaces field's value.
func (s *SearchFacesInput) SetMaxFaces(v int64) *SearchFacesInput {
	s.MaxFaces = &v
	return s
}

type SearchFacesOutput struct {
	_ struct{} `type:"structure"`

	// An array of faces that matched the input face, along with the confidence
	// in the match.
	FaceMatches []*FaceMatch `type:"list"`

	// ID of the face that was searched for matches in a collection.
	SearchedFaceId *string `type:"string"`
}

// String returns the string representation
func (s SearchFacesOutput) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s SearchFacesOutput) GoString() string {
	return s.String()
}

// SetFaceMatches sets the FaceMatches field's value.
func (s *SearchFacesOutput) SetFaceMatches(v []*FaceMatch) *SearchFacesOutput {
	s.FaceMatches = v
	return s
}

// SetSearchedFaceId sets the SearchedFaceId field's value.
func (s *SearchFacesOutput) SetSearchedFaceId(v string) *SearchFacesOutput {
	s.SearchedFaceId = &v
	return s
}

// Indicates whether or not the face is smiling, and the confidence level in
// the determination.
type Smile struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the face is smiling or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s Smile) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Smile) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Smile) SetConfidence(v float64) *Smile {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Smile) SetValue(v bool) *Smile {
	s.Value = &v
	return s
}

// Indicates whether or not the face is wearing sunglasses, and the confidence
// level in the determination.
type Sunglasses struct {
	_ struct{} `type:"structure"`

	// Level of confidence in the determination.
	Confidence *float64 `type:"float"`

	// Boolean value that indicates whether the face is wearing sunglasses or not.
	Value *bool `type:"boolean"`
}

// String returns the string representation
func (s Sunglasses) String() string {
	return awsutil.Prettify(s)
}

// GoString returns the string representation
func (s Sunglasses) GoString() string {
	return s.String()
}

// SetConfidence sets the Confidence field's value.
func (s *Sunglasses) SetConfidence(v float64) *Sunglasses {
	s.Confidence = &v
	return s
}

// SetValue sets the Value field's value.
func (s *Sunglasses) SetValue(v bool) *Sunglasses {
	s.Value = &v
	return s
}

const (
	// AttributeDefault is a Attribute enum value
	AttributeDefault = "DEFAULT"

	// AttributeAll is a Attribute enum value
	AttributeAll = "ALL"
)

const (
	// EmotionNameHappy is a EmotionName enum value
	EmotionNameHappy = "HAPPY"

	// EmotionNameSad is a EmotionName enum value
	EmotionNameSad = "SAD"

	// EmotionNameAngry is a EmotionName enum value
	EmotionNameAngry = "ANGRY"

	// EmotionNameConfused is a EmotionName enum value
	EmotionNameConfused = "CONFUSED"

	// EmotionNameDisgusted is a EmotionName enum value
	EmotionNameDisgusted = "DISGUSTED"

	// EmotionNameSurprised is a EmotionName enum value
	EmotionNameSurprised = "SURPRISED"

	// EmotionNameCalm is a EmotionName enum value
	EmotionNameCalm = "CALM"

	// EmotionNameUnknown is a EmotionName enum value
	EmotionNameUnknown = "UNKNOWN"
)

const (
	// GenderTypeMale is a GenderType enum value
	GenderTypeMale = "MALE"

	// GenderTypeFemale is a GenderType enum value
	GenderTypeFemale = "FEMALE"
)

const (
	// LandmarkTypeEyeLeft is a LandmarkType enum value
	LandmarkTypeEyeLeft = "EYE_LEFT"

	// LandmarkTypeEyeRight is a LandmarkType enum value
	LandmarkTypeEyeRight = "EYE_RIGHT"

	// LandmarkTypeNose is a LandmarkType enum value
	LandmarkTypeNose = "NOSE"

	// LandmarkTypeMouthLeft is a LandmarkType enum value
	LandmarkTypeMouthLeft = "MOUTH_LEFT"

	// LandmarkTypeMouthRight is a LandmarkType enum value
	LandmarkTypeMouthRight = "MOUTH_RIGHT"

	// LandmarkTypeLeftEyebrowLeft is a LandmarkType enum value
	LandmarkTypeLeftEyebrowLeft = "LEFT_EYEBROW_LEFT"

	// LandmarkTypeLeftEyebrowRight is a LandmarkType enum value
	LandmarkTypeLeftEyebrowRight = "LEFT_EYEBROW_RIGHT"

	// LandmarkTypeLeftEyebrowUp is a LandmarkType enum value
	LandmarkTypeLeftEyebrowUp = "LEFT_EYEBROW_UP"

	// LandmarkTypeRightEyebrowLeft is a LandmarkType enum value
	LandmarkTypeRightEyebrowLeft = "RIGHT_EYEBROW_LEFT"

	// LandmarkTypeRightEyebrowRight is a LandmarkType enum value
	LandmarkTypeRightEyebrowRight = "RIGHT_EYEBROW_RIGHT"

	// LandmarkTypeRightEyebrowUp is a LandmarkType enum value
	LandmarkTypeRightEyebrowUp = "RIGHT_EYEBROW_UP"

	// LandmarkTypeLeftEyeLeft is a LandmarkType enum value
	LandmarkTypeLeftEyeLeft = "LEFT_EYE_LEFT"

	// LandmarkTypeLeftEyeRight is a LandmarkType enum value
	LandmarkTypeLeftEyeRight = "LEFT_EYE_RIGHT"

	// LandmarkTypeLeftEyeUp is a LandmarkType enum value
	LandmarkTypeLeftEyeUp = "LEFT_EYE_UP"

	// LandmarkTypeLeftEyeDown is a LandmarkType enum value
	LandmarkTypeLeftEyeDown = "LEFT_EYE_DOWN"

	// LandmarkTypeRightEyeLeft is a LandmarkType enum value
	LandmarkTypeRightEyeLeft = "RIGHT_EYE_LEFT"

	// LandmarkTypeRightEyeRight is a LandmarkType enum value
	LandmarkTypeRightEyeRight = "RIGHT_EYE_RIGHT"

	// LandmarkTypeRightEyeUp is a LandmarkType enum value
	LandmarkTypeRightEyeUp = "RIGHT_EYE_UP"

	// LandmarkTypeRightEyeDown is a LandmarkType enum value
	LandmarkTypeRightEyeDown = "RIGHT_EYE_DOWN"

	// LandmarkTypeNoseLeft is a LandmarkType enum value
	LandmarkTypeNoseLeft = "NOSE_LEFT"

	// LandmarkTypeNoseRight is a LandmarkType enum value
	LandmarkTypeNoseRight = "NOSE_RIGHT"

	// LandmarkTypeMouthUp is a LandmarkType enum value
	LandmarkTypeMouthUp = "MOUTH_UP"

	// LandmarkTypeMouthDown is a LandmarkType enum value
	LandmarkTypeMouthDown = "MOUTH_DOWN"

	// LandmarkTypeLeftPupil is a LandmarkType enum value
	LandmarkTypeLeftPupil = "LEFT_PUPIL"

	// LandmarkTypeRightPupil is a LandmarkType enum value
	LandmarkTypeRightPupil = "RIGHT_PUPIL"
)

const (
	// OrientationCorrectionRotate0 is a OrientationCorrection enum value
	OrientationCorrectionRotate0 = "ROTATE_0"

	// OrientationCorrectionRotate90 is a OrientationCorrection enum value
	OrientationCorrectionRotate90 = "ROTATE_90"

	// OrientationCorrectionRotate180 is a OrientationCorrection enum value
	OrientationCorrectionRotate180 = "ROTATE_180"

	// OrientationCorrectionRotate270 is a OrientationCorrection enum value
	OrientationCorrectionRotate270 = "ROTATE_270"
)