rekognition

package
v1.7.4 Latest Latest
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 Go to latest Published: Mar 6, 2017 License: Apache-2.0 Imports: 6 Imported by: 0

Documentation

Overview

Package rekognition provides a client for Amazon Rekognition.

Index

Examples

Constants

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

	// AttributeAll is a Attribute enum value
	AttributeAll = "ALL"
)
View Source 
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"
)
View Source 
const (
	// GenderTypeMale is a GenderType enum value
	GenderTypeMale = "MALE"

	// GenderTypeFemale is a GenderType enum value
	GenderTypeFemale = "FEMALE"
)
View Source 
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"
)
View Source 
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"
)
View Source 
const (

	// ErrCodeAccessDeniedException for service response error code
	// "AccessDeniedException".
	//
	// You are not authorized to perform the action.
	ErrCodeAccessDeniedException = "AccessDeniedException"

	// ErrCodeImageTooLargeException for service response error code
	// "ImageTooLargeException".
	//
	// The input image size exceeds the allowed limit. For more information, see
	// limits.
	ErrCodeImageTooLargeException = "ImageTooLargeException"

	// ErrCodeInternalServerError for service response error code
	// "InternalServerError".
	//
	// Amazon Rekognition experienced a service issue. Try your call again.
	ErrCodeInternalServerError = "InternalServerError"

	// ErrCodeInvalidImageFormatException for service response error code
	// "InvalidImageFormatException".
	//
	// The provided image format is not supported.
	ErrCodeInvalidImageFormatException = "InvalidImageFormatException"

	// ErrCodeInvalidPaginationTokenException for service response error code
	// "InvalidPaginationTokenException".
	//
	// Pagination token in the request is not valid.
	ErrCodeInvalidPaginationTokenException = "InvalidPaginationTokenException"

	// ErrCodeInvalidParameterException for service response error code
	// "InvalidParameterException".
	//
	// Input parameter violated a constraint. Validate your parameter before calling
	// the API operation again.
	ErrCodeInvalidParameterException = "InvalidParameterException"

	// ErrCodeInvalidS3ObjectException for service response error code
	// "InvalidS3ObjectException".
	//
	// Amazon Rekognition is unable to access the S3 object specified in the request.
	ErrCodeInvalidS3ObjectException = "InvalidS3ObjectException"

	// ErrCodeProvisionedThroughputExceededException for service response error code
	// "ProvisionedThroughputExceededException".
	//
	// The number of requests exceeded your throughput limit. If you want to increase
	// this limit, contact Amazon Rekognition.
	ErrCodeProvisionedThroughputExceededException = "ProvisionedThroughputExceededException"

	// ErrCodeResourceAlreadyExistsException for service response error code
	// "ResourceAlreadyExistsException".
	//
	// A collection with the specified ID already exists.
	ErrCodeResourceAlreadyExistsException = "ResourceAlreadyExistsException"

	// ErrCodeResourceNotFoundException for service response error code
	// "ResourceNotFoundException".
	//
	// Collection specified in the request is not found.
	ErrCodeResourceNotFoundException = "ResourceNotFoundException"

	// ErrCodeThrottlingException for service response error code
	// "ThrottlingException".
	//
	// Amazon Rekognition is temporarily unable to process the request. Try your
	// call again.
	ErrCodeThrottlingException = "ThrottlingException"
)
View Source 
const (
	ServiceName = "rekognition" // Service endpoint prefix API calls made to.
	EndpointsID = ServiceName   // Service ID for Regions and Endpoints metadata.
)

Service information constants

Variables

This section is empty.

Functions

This section is empty.

Types

type AgeRange added in v1.6.21 

type AgeRange struct {

	// The highest estimated age.
	High *int64 `type:"integer"`

	// The lowest estimated age.
	Low *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Structure containing the estimated age range, in years, for a face.

Rekognition estimates an age-range for faces detected in the input image. Estimated age ranges can overlap; a face of a 5 year old may have an estimated range of 4-6 whilst the face of a 6 year old may have an estimated range of 4-8.

func (AgeRange) GoString added in v1.6.21 

func (s AgeRange) GoString() string

GoString returns the string representation

func (*AgeRange) SetHigh added in v1.6.21 

func (s *AgeRange) SetHigh(v int64) *AgeRange

SetHigh sets the High field's value.

func (*AgeRange) SetLow added in v1.6.21 

func (s *AgeRange) SetLow(v int64) *AgeRange

SetLow sets the Low field's value.

func (AgeRange) String added in v1.6.21 

func (s AgeRange) String() string

String returns the string representation

type Beard 

type Beard struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the face has a beard, and the confidence level in the determination.

func (Beard) GoString 

func (s Beard) GoString() string

GoString returns the string representation

func (*Beard) SetConfidence 

func (s *Beard) SetConfidence(v float64) *Beard

SetConfidence sets the Confidence field's value.

func (*Beard) SetValue 

func (s *Beard) SetValue(v bool) *Beard

SetValue sets the Value field's value.

func (Beard) String 

func (s Beard) String() string

String returns the string representation

type BoundingBox 

type BoundingBox struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (BoundingBox) GoString 

func (s BoundingBox) GoString() string

GoString returns the string representation

func (*BoundingBox) SetHeight 

func (s *BoundingBox) SetHeight(v float64) *BoundingBox

SetHeight sets the Height field's value.

func (*BoundingBox) SetLeft 

func (s *BoundingBox) SetLeft(v float64) *BoundingBox

SetLeft sets the Left field's value.

func (*BoundingBox) SetTop 

func (s *BoundingBox) SetTop(v float64) *BoundingBox

SetTop sets the Top field's value.

func (*BoundingBox) SetWidth 

func (s *BoundingBox) SetWidth(v float64) *BoundingBox

SetWidth sets the Width field's value.

func (BoundingBox) String 

func (s BoundingBox) String() string

String returns the string representation

type CompareFacesInput 

type CompareFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (CompareFacesInput) GoString 

func (s CompareFacesInput) GoString() string

GoString returns the string representation

func (*CompareFacesInput) SetSimilarityThreshold 

func (s *CompareFacesInput) SetSimilarityThreshold(v float64) *CompareFacesInput

SetSimilarityThreshold sets the SimilarityThreshold field's value.

func (*CompareFacesInput) SetSourceImage 

func (s *CompareFacesInput) SetSourceImage(v *Image) *CompareFacesInput

SetSourceImage sets the SourceImage field's value.

func (*CompareFacesInput) SetTargetImage 

func (s *CompareFacesInput) SetTargetImage(v *Image) *CompareFacesInput

SetTargetImage sets the TargetImage field's value.

func (CompareFacesInput) String 

func (s CompareFacesInput) String() string

String returns the string representation

func (*CompareFacesInput) Validate 

func (s *CompareFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CompareFacesMatch 

type CompareFacesMatch struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (CompareFacesMatch) GoString 

func (s CompareFacesMatch) GoString() string

GoString returns the string representation

func (*CompareFacesMatch) SetFace 

func (s *CompareFacesMatch) SetFace(v *ComparedFace) *CompareFacesMatch

SetFace sets the Face field's value.

func (*CompareFacesMatch) SetSimilarity 

func (s *CompareFacesMatch) SetSimilarity(v float64) *CompareFacesMatch

SetSimilarity sets the Similarity field's value.

func (CompareFacesMatch) String 

func (s CompareFacesMatch) String() string

String returns the string representation

type CompareFacesOutput 

type CompareFacesOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (CompareFacesOutput) GoString 

func (s CompareFacesOutput) GoString() string

GoString returns the string representation

func (*CompareFacesOutput) SetFaceMatches 

func (s *CompareFacesOutput) SetFaceMatches(v []*CompareFacesMatch) *CompareFacesOutput

SetFaceMatches sets the FaceMatches field's value.

func (*CompareFacesOutput) SetSourceImageFace 

func (s *CompareFacesOutput) SetSourceImageFace(v *ComparedSourceImageFace) *CompareFacesOutput

SetSourceImageFace sets the SourceImageFace field's value.

func (CompareFacesOutput) String 

func (s CompareFacesOutput) String() string

String returns the string representation

type ComparedFace 

type ComparedFace struct {

	// 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"`
	// contains filtered or unexported fields
}

Provides face metadata (bounding box and confidence that the bounding box actually contains a face).

func (ComparedFace) GoString 

func (s ComparedFace) GoString() string

GoString returns the string representation

func (*ComparedFace) SetBoundingBox 

func (s *ComparedFace) SetBoundingBox(v *BoundingBox) *ComparedFace

SetBoundingBox sets the BoundingBox field's value.

func (*ComparedFace) SetConfidence 

func (s *ComparedFace) SetConfidence(v float64) *ComparedFace

SetConfidence sets the Confidence field's value.

func (ComparedFace) String 

func (s ComparedFace) String() string

String returns the string representation

type ComparedSourceImageFace 

type ComparedSourceImageFace struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (ComparedSourceImageFace) GoString 

func (s ComparedSourceImageFace) GoString() string

GoString returns the string representation

func (*ComparedSourceImageFace) SetBoundingBox 

func (s *ComparedSourceImageFace) SetBoundingBox(v *BoundingBox) *ComparedSourceImageFace

SetBoundingBox sets the BoundingBox field's value.

func (*ComparedSourceImageFace) SetConfidence 

func (s *ComparedSourceImageFace) SetConfidence(v float64) *ComparedSourceImageFace

SetConfidence sets the Confidence field's value.

func (ComparedSourceImageFace) String 

func (s ComparedSourceImageFace) String() string

String returns the string representation

type CreateCollectionInput 

type CreateCollectionInput struct {

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

func (CreateCollectionInput) GoString 

func (s CreateCollectionInput) GoString() string

GoString returns the string representation

func (*CreateCollectionInput) SetCollectionId 

func (s *CreateCollectionInput) SetCollectionId(v string) *CreateCollectionInput

SetCollectionId sets the CollectionId field's value.

func (CreateCollectionInput) String 

func (s CreateCollectionInput) String() string

String returns the string representation

func (*CreateCollectionInput) Validate 

func (s *CreateCollectionInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateCollectionOutput 

type CreateCollectionOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (CreateCollectionOutput) GoString 

func (s CreateCollectionOutput) GoString() string

GoString returns the string representation

func (*CreateCollectionOutput) SetCollectionArn 

func (s *CreateCollectionOutput) SetCollectionArn(v string) *CreateCollectionOutput

SetCollectionArn sets the CollectionArn field's value.

func (*CreateCollectionOutput) SetStatusCode 

func (s *CreateCollectionOutput) SetStatusCode(v int64) *CreateCollectionOutput

SetStatusCode sets the StatusCode field's value.

func (CreateCollectionOutput) String 

func (s CreateCollectionOutput) String() string

String returns the string representation

type DeleteCollectionInput 

type DeleteCollectionInput struct {

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

func (DeleteCollectionInput) GoString 

func (s DeleteCollectionInput) GoString() string

GoString returns the string representation

func (*DeleteCollectionInput) SetCollectionId 

func (s *DeleteCollectionInput) SetCollectionId(v string) *DeleteCollectionInput

SetCollectionId sets the CollectionId field's value.

func (DeleteCollectionInput) String 

func (s DeleteCollectionInput) String() string

String returns the string representation

func (*DeleteCollectionInput) Validate 

func (s *DeleteCollectionInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteCollectionOutput 

type DeleteCollectionOutput struct {

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

func (DeleteCollectionOutput) GoString 

func (s DeleteCollectionOutput) GoString() string

GoString returns the string representation

func (*DeleteCollectionOutput) SetStatusCode 

func (s *DeleteCollectionOutput) SetStatusCode(v int64) *DeleteCollectionOutput

SetStatusCode sets the StatusCode field's value.

func (DeleteCollectionOutput) String 

func (s DeleteCollectionOutput) String() string

String returns the string representation

type DeleteFacesInput 

type DeleteFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (DeleteFacesInput) GoString 

func (s DeleteFacesInput) GoString() string

GoString returns the string representation

func (*DeleteFacesInput) SetCollectionId 

func (s *DeleteFacesInput) SetCollectionId(v string) *DeleteFacesInput

SetCollectionId sets the CollectionId field's value.

func (*DeleteFacesInput) SetFaceIds 

func (s *DeleteFacesInput) SetFaceIds(v []*string) *DeleteFacesInput

SetFaceIds sets the FaceIds field's value.

func (DeleteFacesInput) String 

func (s DeleteFacesInput) String() string

String returns the string representation

func (*DeleteFacesInput) Validate 

func (s *DeleteFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteFacesOutput 

type DeleteFacesOutput struct {

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

func (DeleteFacesOutput) GoString 

func (s DeleteFacesOutput) GoString() string

GoString returns the string representation

func (*DeleteFacesOutput) SetDeletedFaces 

func (s *DeleteFacesOutput) SetDeletedFaces(v []*string) *DeleteFacesOutput

SetDeletedFaces sets the DeletedFaces field's value.

func (DeleteFacesOutput) String 

func (s DeleteFacesOutput) String() string

String returns the string representation

type DetectFacesInput 

type DetectFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (DetectFacesInput) GoString 

func (s DetectFacesInput) GoString() string

GoString returns the string representation

func (*DetectFacesInput) SetAttributes 

func (s *DetectFacesInput) SetAttributes(v []*string) *DetectFacesInput

SetAttributes sets the Attributes field's value.

func (*DetectFacesInput) SetImage 

func (s *DetectFacesInput) SetImage(v *Image) *DetectFacesInput

SetImage sets the Image field's value.

func (DetectFacesInput) String 

func (s DetectFacesInput) String() string

String returns the string representation

func (*DetectFacesInput) Validate 

func (s *DetectFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DetectFacesOutput 

type DetectFacesOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (DetectFacesOutput) GoString 

func (s DetectFacesOutput) GoString() string

GoString returns the string representation

func (*DetectFacesOutput) SetFaceDetails 

func (s *DetectFacesOutput) SetFaceDetails(v []*FaceDetail) *DetectFacesOutput

SetFaceDetails sets the FaceDetails field's value.

func (*DetectFacesOutput) SetOrientationCorrection 

func (s *DetectFacesOutput) SetOrientationCorrection(v string) *DetectFacesOutput

SetOrientationCorrection sets the OrientationCorrection field's value.

func (DetectFacesOutput) String 

func (s DetectFacesOutput) String() string

String returns the string representation

type DetectLabelsInput 

type DetectLabelsInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (DetectLabelsInput) GoString 

func (s DetectLabelsInput) GoString() string

GoString returns the string representation

func (*DetectLabelsInput) SetImage 

func (s *DetectLabelsInput) SetImage(v *Image) *DetectLabelsInput

SetImage sets the Image field's value.

func (*DetectLabelsInput) SetMaxLabels 

func (s *DetectLabelsInput) SetMaxLabels(v int64) *DetectLabelsInput

SetMaxLabels sets the MaxLabels field's value.

func (*DetectLabelsInput) SetMinConfidence 

func (s *DetectLabelsInput) SetMinConfidence(v float64) *DetectLabelsInput

SetMinConfidence sets the MinConfidence field's value.

func (DetectLabelsInput) String 

func (s DetectLabelsInput) String() string

String returns the string representation

func (*DetectLabelsInput) Validate 

func (s *DetectLabelsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DetectLabelsOutput 

type DetectLabelsOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (DetectLabelsOutput) GoString 

func (s DetectLabelsOutput) GoString() string

GoString returns the string representation

func (*DetectLabelsOutput) SetLabels 

func (s *DetectLabelsOutput) SetLabels(v []*Label) *DetectLabelsOutput

SetLabels sets the Labels field's value.

func (*DetectLabelsOutput) SetOrientationCorrection 

func (s *DetectLabelsOutput) SetOrientationCorrection(v string) *DetectLabelsOutput

SetOrientationCorrection sets the OrientationCorrection field's value.

func (DetectLabelsOutput) String 

func (s DetectLabelsOutput) String() string

String returns the string representation

type Emotion 

type Emotion struct {

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

	// Type of emotion detected.
	Type *string `type:"string" enum:"EmotionName"`
	// contains filtered or unexported fields
}

The emotions detected on the face, and the confidence level in the determination. For example, HAPPY, SAD, and ANGRY.

func (Emotion) GoString 

func (s Emotion) GoString() string

GoString returns the string representation

func (*Emotion) SetConfidence 

func (s *Emotion) SetConfidence(v float64) *Emotion

SetConfidence sets the Confidence field's value.

func (*Emotion) SetType 

func (s *Emotion) SetType(v string) *Emotion

SetType sets the Type field's value.

func (Emotion) String 

func (s Emotion) String() string

String returns the string representation

type EyeOpen 

type EyeOpen struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the eyes on the face are open, and the confidence level in the determination.

func (EyeOpen) GoString 

func (s EyeOpen) GoString() string

GoString returns the string representation

func (*EyeOpen) SetConfidence 

func (s *EyeOpen) SetConfidence(v float64) *EyeOpen

SetConfidence sets the Confidence field's value.

func (*EyeOpen) SetValue 

func (s *EyeOpen) SetValue(v bool) *EyeOpen

SetValue sets the Value field's value.

func (EyeOpen) String 

func (s EyeOpen) String() string

String returns the string representation

type Eyeglasses 

type Eyeglasses struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.

func (Eyeglasses) GoString 

func (s Eyeglasses) GoString() string

GoString returns the string representation

func (*Eyeglasses) SetConfidence 

func (s *Eyeglasses) SetConfidence(v float64) *Eyeglasses

SetConfidence sets the Confidence field's value.

func (*Eyeglasses) SetValue 

func (s *Eyeglasses) SetValue(v bool) *Eyeglasses

SetValue sets the Value field's value.

func (Eyeglasses) String 

func (s Eyeglasses) String() string

String returns the string representation

type Face 

type Face struct {

	// 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"`
	// contains filtered or unexported fields
}

Describes the face properties such as the bounding box, face ID, image ID of the source image, and external image ID that you assigned.

func (Face) GoString 

func (s Face) GoString() string

GoString returns the string representation

func (*Face) SetBoundingBox 

func (s *Face) SetBoundingBox(v *BoundingBox) *Face

SetBoundingBox sets the BoundingBox field's value.

func (*Face) SetConfidence 

func (s *Face) SetConfidence(v float64) *Face

SetConfidence sets the Confidence field's value.

func (*Face) SetExternalImageId 

func (s *Face) SetExternalImageId(v string) *Face

SetExternalImageId sets the ExternalImageId field's value.

func (*Face) SetFaceId 

func (s *Face) SetFaceId(v string) *Face

SetFaceId sets the FaceId field's value.

func (*Face) SetImageId 

func (s *Face) SetImageId(v string) *Face

SetImageId sets the ImageId field's value.

func (Face) String 

func (s Face) String() string

String returns the string representation

type FaceDetail 

type FaceDetail struct {

	// The estimated age range, in years, for the face. Low represents the lowest
	// estimated age and High represents the highest estimated age.
	AgeRange *AgeRange `type:"structure"`

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

	// Bounding box of the face.
	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"`
	// contains filtered or unexported fields
}

Structure containing attributes of the face that the algorithm detected.

func (FaceDetail) GoString 

func (s FaceDetail) GoString() string

GoString returns the string representation

func (*FaceDetail) SetAgeRange added in v1.6.21 

func (s *FaceDetail) SetAgeRange(v *AgeRange) *FaceDetail

SetAgeRange sets the AgeRange field's value.

func (*FaceDetail) SetBeard 

func (s *FaceDetail) SetBeard(v *Beard) *FaceDetail

SetBeard sets the Beard field's value.

func (*FaceDetail) SetBoundingBox 

func (s *FaceDetail) SetBoundingBox(v *BoundingBox) *FaceDetail

SetBoundingBox sets the BoundingBox field's value.

func (*FaceDetail) SetConfidence 

func (s *FaceDetail) SetConfidence(v float64) *FaceDetail

SetConfidence sets the Confidence field's value.

func (*FaceDetail) SetEmotions 

func (s *FaceDetail) SetEmotions(v []*Emotion) *FaceDetail

SetEmotions sets the Emotions field's value.

func (*FaceDetail) SetEyeglasses 

func (s *FaceDetail) SetEyeglasses(v *Eyeglasses) *FaceDetail

SetEyeglasses sets the Eyeglasses field's value.

func (*FaceDetail) SetEyesOpen 

func (s *FaceDetail) SetEyesOpen(v *EyeOpen) *FaceDetail

SetEyesOpen sets the EyesOpen field's value.

func (*FaceDetail) SetGender 

func (s *FaceDetail) SetGender(v *Gender) *FaceDetail

SetGender sets the Gender field's value.

func (*FaceDetail) SetLandmarks 

func (s *FaceDetail) SetLandmarks(v []*Landmark) *FaceDetail

SetLandmarks sets the Landmarks field's value.

func (*FaceDetail) SetMouthOpen 

func (s *FaceDetail) SetMouthOpen(v *MouthOpen) *FaceDetail

SetMouthOpen sets the MouthOpen field's value.

func (*FaceDetail) SetMustache 

func (s *FaceDetail) SetMustache(v *Mustache) *FaceDetail

SetMustache sets the Mustache field's value.

func (*FaceDetail) SetPose 

func (s *FaceDetail) SetPose(v *Pose) *FaceDetail

SetPose sets the Pose field's value.

func (*FaceDetail) SetQuality 

func (s *FaceDetail) SetQuality(v *ImageQuality) *FaceDetail

SetQuality sets the Quality field's value.

func (*FaceDetail) SetSmile 

func (s *FaceDetail) SetSmile(v *Smile) *FaceDetail

SetSmile sets the Smile field's value.

func (*FaceDetail) SetSunglasses 

func (s *FaceDetail) SetSunglasses(v *Sunglasses) *FaceDetail

SetSunglasses sets the Sunglasses field's value.

func (FaceDetail) String 

func (s FaceDetail) String() string

String returns the string representation

type FaceMatch 

type FaceMatch struct {

	// 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"`
	// contains filtered or unexported fields
}

Provides face metadata. In addition, it also provides the confidence in the match of this face with the input face.

func (FaceMatch) GoString 

func (s FaceMatch) GoString() string

GoString returns the string representation

func (*FaceMatch) SetFace 

func (s *FaceMatch) SetFace(v *Face) *FaceMatch

SetFace sets the Face field's value.

func (*FaceMatch) SetSimilarity 

func (s *FaceMatch) SetSimilarity(v float64) *FaceMatch

SetSimilarity sets the Similarity field's value.

func (FaceMatch) String 

func (s FaceMatch) String() string

String returns the string representation

type FaceRecord 

type FaceRecord struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (FaceRecord) GoString 

func (s FaceRecord) GoString() string

GoString returns the string representation

func (*FaceRecord) SetFace 

func (s *FaceRecord) SetFace(v *Face) *FaceRecord

SetFace sets the Face field's value.

func (*FaceRecord) SetFaceDetail 

func (s *FaceRecord) SetFaceDetail(v *FaceDetail) *FaceRecord

SetFaceDetail sets the FaceDetail field's value.

func (FaceRecord) String 

func (s FaceRecord) String() string

String returns the string representation

type Gender 

type Gender struct {

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

	// Gender of the face.
	Value *string `type:"string" enum:"GenderType"`
	// contains filtered or unexported fields
}

Gender of the face and the confidence level in the determination.

func (Gender) GoString 

func (s Gender) GoString() string

GoString returns the string representation

func (*Gender) SetConfidence 

func (s *Gender) SetConfidence(v float64) *Gender

SetConfidence sets the Confidence field's value.

func (*Gender) SetValue 

func (s *Gender) SetValue(v string) *Gender

SetValue sets the Value field's value.

func (Gender) String 

func (s Gender) String() string

String returns the string representation

type Image 

type Image struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (Image) GoString 

func (s Image) GoString() string

GoString returns the string representation

func (*Image) SetBytes 

func (s *Image) SetBytes(v []byte) *Image

SetBytes sets the Bytes field's value.

func (*Image) SetS3Object 

func (s *Image) SetS3Object(v *S3Object) *Image

SetS3Object sets the S3Object field's value.

func (Image) String 

func (s Image) String() string

String returns the string representation

func (*Image) Validate 

func (s *Image) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ImageQuality 

type ImageQuality struct {

	// 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"`
	// contains filtered or unexported fields
}

Identifies image brightness and sharpness.

func (ImageQuality) GoString 

func (s ImageQuality) GoString() string

GoString returns the string representation

func (*ImageQuality) SetBrightness 

func (s *ImageQuality) SetBrightness(v float64) *ImageQuality

SetBrightness sets the Brightness field's value.

func (*ImageQuality) SetSharpness 

func (s *ImageQuality) SetSharpness(v float64) *ImageQuality

SetSharpness sets the Sharpness field's value.

func (ImageQuality) String 

func (s ImageQuality) String() string

String returns the string representation

type IndexFacesInput 

type IndexFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (IndexFacesInput) GoString 

func (s IndexFacesInput) GoString() string

GoString returns the string representation

func (*IndexFacesInput) SetCollectionId 

func (s *IndexFacesInput) SetCollectionId(v string) *IndexFacesInput

SetCollectionId sets the CollectionId field's value.

func (*IndexFacesInput) SetDetectionAttributes 

func (s *IndexFacesInput) SetDetectionAttributes(v []*string) *IndexFacesInput

SetDetectionAttributes sets the DetectionAttributes field's value.

func (*IndexFacesInput) SetExternalImageId 

func (s *IndexFacesInput) SetExternalImageId(v string) *IndexFacesInput

SetExternalImageId sets the ExternalImageId field's value.

func (*IndexFacesInput) SetImage 

func (s *IndexFacesInput) SetImage(v *Image) *IndexFacesInput

SetImage sets the Image field's value.

func (IndexFacesInput) String 

func (s IndexFacesInput) String() string

String returns the string representation

func (*IndexFacesInput) Validate 

func (s *IndexFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type IndexFacesOutput 

type IndexFacesOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (IndexFacesOutput) GoString 

func (s IndexFacesOutput) GoString() string

GoString returns the string representation

func (*IndexFacesOutput) SetFaceRecords 

func (s *IndexFacesOutput) SetFaceRecords(v []*FaceRecord) *IndexFacesOutput

SetFaceRecords sets the FaceRecords field's value.

func (*IndexFacesOutput) SetOrientationCorrection 

func (s *IndexFacesOutput) SetOrientationCorrection(v string) *IndexFacesOutput

SetOrientationCorrection sets the OrientationCorrection field's value.

func (IndexFacesOutput) String 

func (s IndexFacesOutput) String() string

String returns the string representation

type Label 

type Label struct {

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

	// The name (label) of the object.
	Name *string `type:"string"`
	// contains filtered or unexported fields
}

Structure containing details about the detected label, including name, and level of confidence.

func (Label) GoString 

func (s Label) GoString() string

GoString returns the string representation

func (*Label) SetConfidence 

func (s *Label) SetConfidence(v float64) *Label

SetConfidence sets the Confidence field's value.

func (*Label) SetName 

func (s *Label) SetName(v string) *Label

SetName sets the Name field's value.

func (Label) String 

func (s Label) String() string

String returns the string representation

type Landmark 

type Landmark struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates the location of the landmark on the face.

func (Landmark) GoString 

func (s Landmark) GoString() string

GoString returns the string representation

func (*Landmark) SetType 

func (s *Landmark) SetType(v string) *Landmark

SetType sets the Type field's value.

func (*Landmark) SetX 

func (s *Landmark) SetX(v float64) *Landmark

SetX sets the X field's value.

func (*Landmark) SetY 

func (s *Landmark) SetY(v float64) *Landmark

SetY sets the Y field's value.

func (Landmark) String 

func (s Landmark) String() string

String returns the string representation

type ListCollectionsInput 

type ListCollectionsInput struct {

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

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

func (ListCollectionsInput) GoString 

func (s ListCollectionsInput) GoString() string

GoString returns the string representation

func (*ListCollectionsInput) SetMaxResults 

func (s *ListCollectionsInput) SetMaxResults(v int64) *ListCollectionsInput

SetMaxResults sets the MaxResults field's value.

func (*ListCollectionsInput) SetNextToken 

func (s *ListCollectionsInput) SetNextToken(v string) *ListCollectionsInput

SetNextToken sets the NextToken field's value.

func (ListCollectionsInput) String 

func (s ListCollectionsInput) String() string

String returns the string representation

type ListCollectionsOutput 

type ListCollectionsOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (ListCollectionsOutput) GoString 

func (s ListCollectionsOutput) GoString() string

GoString returns the string representation

func (*ListCollectionsOutput) SetCollectionIds 

func (s *ListCollectionsOutput) SetCollectionIds(v []*string) *ListCollectionsOutput

SetCollectionIds sets the CollectionIds field's value.

func (*ListCollectionsOutput) SetNextToken 

func (s *ListCollectionsOutput) SetNextToken(v string) *ListCollectionsOutput

SetNextToken sets the NextToken field's value.

func (ListCollectionsOutput) String 

func (s ListCollectionsOutput) String() string

String returns the string representation

type ListFacesInput 

type ListFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (ListFacesInput) GoString 

func (s ListFacesInput) GoString() string

GoString returns the string representation

func (*ListFacesInput) SetCollectionId 

func (s *ListFacesInput) SetCollectionId(v string) *ListFacesInput

SetCollectionId sets the CollectionId field's value.

func (*ListFacesInput) SetMaxResults 

func (s *ListFacesInput) SetMaxResults(v int64) *ListFacesInput

SetMaxResults sets the MaxResults field's value.

func (*ListFacesInput) SetNextToken 

func (s *ListFacesInput) SetNextToken(v string) *ListFacesInput

SetNextToken sets the NextToken field's value.

func (ListFacesInput) String 

func (s ListFacesInput) String() string

String returns the string representation

func (*ListFacesInput) Validate 

func (s *ListFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListFacesOutput 

type ListFacesOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (ListFacesOutput) GoString 

func (s ListFacesOutput) GoString() string

GoString returns the string representation

func (*ListFacesOutput) SetFaces 

func (s *ListFacesOutput) SetFaces(v []*Face) *ListFacesOutput

SetFaces sets the Faces field's value.

func (*ListFacesOutput) SetNextToken 

func (s *ListFacesOutput) SetNextToken(v string) *ListFacesOutput

SetNextToken sets the NextToken field's value.

func (ListFacesOutput) String 

func (s ListFacesOutput) String() string

String returns the string representation

type MouthOpen 

type MouthOpen struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the mouth on the face is open, and the confidence level in the determination.

func (MouthOpen) GoString 

func (s MouthOpen) GoString() string

GoString returns the string representation

func (*MouthOpen) SetConfidence 

func (s *MouthOpen) SetConfidence(v float64) *MouthOpen

SetConfidence sets the Confidence field's value.

func (*MouthOpen) SetValue 

func (s *MouthOpen) SetValue(v bool) *MouthOpen

SetValue sets the Value field's value.

func (MouthOpen) String 

func (s MouthOpen) String() string

String returns the string representation

type Mustache 

type Mustache struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the face has a mustache, and the confidence level in the determination.

func (Mustache) GoString 

func (s Mustache) GoString() string

GoString returns the string representation

func (*Mustache) SetConfidence 

func (s *Mustache) SetConfidence(v float64) *Mustache

SetConfidence sets the Confidence field's value.

func (*Mustache) SetValue 

func (s *Mustache) SetValue(v bool) *Mustache

SetValue sets the Value field's value.

func (Mustache) String 

func (s Mustache) String() string

String returns the string representation

type Pose 

type Pose struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates the pose of the face as determined by pitch, roll, and the yaw.

func (Pose) GoString 

func (s Pose) GoString() string

GoString returns the string representation

func (*Pose) SetPitch 

func (s *Pose) SetPitch(v float64) *Pose

SetPitch sets the Pitch field's value.

func (*Pose) SetRoll 

func (s *Pose) SetRoll(v float64) *Pose

SetRoll sets the Roll field's value.

func (*Pose) SetYaw 

func (s *Pose) SetYaw(v float64) *Pose

SetYaw sets the Yaw field's value.

func (Pose) String 

func (s Pose) String() string

String returns the string representation

type Rekognition 

type Rekognition struct {
	*client.Client
}

This is the Amazon Rekognition API reference. The service client's operations are safe to be used concurrently. It is not safe to mutate any of the client's properties though.

func New 

func New(p client.ConfigProvider, cfgs ...*aws.Config) *Rekognition

New creates a new instance of the Rekognition client with a session. If additional configuration is needed for the client instance use the optional aws.Config parameter to add your extra config.

Example: 

// Create a Rekognition client from just a session.
svc := rekognition.New(mySession)

// Create a Rekognition client with additional configuration
svc := rekognition.New(mySession, aws.NewConfig().WithRegion("us-west-2"))

func (*Rekognition) CompareFaces 

func (c *Rekognition) CompareFaces(input *CompareFacesInput) (*CompareFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.CompareFacesInput{
		SourceImage: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		TargetImage: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		SimilarityThreshold: aws.Float64(1.0),
	}
	resp, err := svc.CompareFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) CompareFacesRequest 

func (c *Rekognition) CompareFacesRequest(input *CompareFacesInput) (req *request.Request, output *CompareFacesOutput)

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 (*Rekognition) CreateCollection 

func (c *Rekognition) CreateCollection(input *CreateCollectionInput) (*CreateCollectionOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.CreateCollectionInput{
		CollectionId: aws.String("CollectionId"), // Required
	}
	resp, err := svc.CreateCollection(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) CreateCollectionRequest 

func (c *Rekognition) CreateCollectionRequest(input *CreateCollectionInput) (req *request.Request, output *CreateCollectionOutput)

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 (*Rekognition) DeleteCollection 

func (c *Rekognition) DeleteCollection(input *DeleteCollectionInput) (*DeleteCollectionOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.DeleteCollectionInput{
		CollectionId: aws.String("CollectionId"), // Required
	}
	resp, err := svc.DeleteCollection(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) DeleteCollectionRequest 

func (c *Rekognition) DeleteCollectionRequest(input *DeleteCollectionInput) (req *request.Request, output *DeleteCollectionOutput)

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 (*Rekognition) DeleteFaces 

func (c *Rekognition) DeleteFaces(input *DeleteFacesInput) (*DeleteFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.DeleteFacesInput{
		CollectionId: aws.String("CollectionId"), // Required
		FaceIds: []*string{ // Required
			aws.String("FaceId"), // Required
			// More values...
		},
	}
	resp, err := svc.DeleteFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) DeleteFacesRequest 

func (c *Rekognition) DeleteFacesRequest(input *DeleteFacesInput) (req *request.Request, output *DeleteFacesOutput)

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 (*Rekognition) DetectFaces 

func (c *Rekognition) DetectFaces(input *DetectFacesInput) (*DetectFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.DetectFacesInput{
		Image: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		Attributes: []*string{
			aws.String("Attribute"), // Required
			// More values...
		},
	}
	resp, err := svc.DetectFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) DetectFacesRequest 

func (c *Rekognition) DetectFacesRequest(input *DetectFacesInput) (req *request.Request, output *DetectFacesOutput)

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 (*Rekognition) DetectLabels 

func (c *Rekognition) DetectLabels(input *DetectLabelsInput) (*DetectLabelsOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.DetectLabelsInput{
		Image: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		MaxLabels:     aws.Int64(1),
		MinConfidence: aws.Float64(1.0),
	}
	resp, err := svc.DetectLabels(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) DetectLabelsRequest 

func (c *Rekognition) DetectLabelsRequest(input *DetectLabelsInput) (req *request.Request, output *DetectLabelsOutput)

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 (*Rekognition) IndexFaces 

func (c *Rekognition) IndexFaces(input *IndexFacesInput) (*IndexFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.IndexFacesInput{
		CollectionId: aws.String("CollectionId"), // Required
		Image: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		DetectionAttributes: []*string{
			aws.String("Attribute"), // Required
			// More values...
		},
		ExternalImageId: aws.String("ExternalImageId"),
	}
	resp, err := svc.IndexFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) IndexFacesRequest 

func (c *Rekognition) IndexFacesRequest(input *IndexFacesInput) (req *request.Request, output *IndexFacesOutput)

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 (*Rekognition) ListCollections 

func (c *Rekognition) ListCollections(input *ListCollectionsInput) (*ListCollectionsOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.ListCollectionsInput{
		MaxResults: aws.Int64(1),
		NextToken:  aws.String("PaginationToken"),
	}
	resp, err := svc.ListCollections(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) ListCollectionsPages 

func (c *Rekognition) ListCollectionsPages(input *ListCollectionsInput, fn func(p *ListCollectionsOutput, lastPage bool) (shouldContinue bool)) error

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 (*Rekognition) ListCollectionsRequest 

func (c *Rekognition) ListCollectionsRequest(input *ListCollectionsInput) (req *request.Request, output *ListCollectionsOutput)

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 (*Rekognition) ListFaces 

func (c *Rekognition) ListFaces(input *ListFacesInput) (*ListFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.ListFacesInput{
		CollectionId: aws.String("CollectionId"), // Required
		MaxResults:   aws.Int64(1),
		NextToken:    aws.String("PaginationToken"),
	}
	resp, err := svc.ListFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) ListFacesPages 

func (c *Rekognition) ListFacesPages(input *ListFacesInput, fn func(p *ListFacesOutput, lastPage bool) (shouldContinue bool)) error

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 (*Rekognition) ListFacesRequest 

func (c *Rekognition) ListFacesRequest(input *ListFacesInput) (req *request.Request, output *ListFacesOutput)

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 (*Rekognition) SearchFaces 

func (c *Rekognition) SearchFaces(input *SearchFacesInput) (*SearchFacesOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.SearchFacesInput{
		CollectionId:       aws.String("CollectionId"), // Required
		FaceId:             aws.String("FaceId"),       // Required
		FaceMatchThreshold: aws.Float64(1.0),
		MaxFaces:           aws.Int64(1),
	}
	resp, err := svc.SearchFaces(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) SearchFacesByImage 

func (c *Rekognition) SearchFacesByImage(input *SearchFacesByImageInput) (*SearchFacesByImageOutput, error)

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.

Example 
package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/rekognition"
)

func main() {
	sess := session.Must(session.NewSession())

	svc := rekognition.New(sess)

	params := &rekognition.SearchFacesByImageInput{
		CollectionId: aws.String("CollectionId"), // Required
		Image: &rekognition.Image{ // Required
			Bytes: []byte("PAYLOAD"),
			S3Object: &rekognition.S3Object{
				Bucket:  aws.String("S3Bucket"),
				Name:    aws.String("S3ObjectName"),
				Version: aws.String("S3ObjectVersion"),
			},
		},
		FaceMatchThreshold: aws.Float64(1.0),
		MaxFaces:           aws.Int64(1),
	}
	resp, err := svc.SearchFacesByImage(params)

	if err != nil {
		// Print the error, cast err to awserr.Error to get the Code and
		// Message from an error.
		fmt.Println(err.Error())
		return
	}

	// Pretty-print the response data.
	fmt.Println(resp)
}

Output:

func (*Rekognition) SearchFacesByImageRequest 

func (c *Rekognition) SearchFacesByImageRequest(input *SearchFacesByImageInput) (req *request.Request, output *SearchFacesByImageOutput)

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 (*Rekognition) SearchFacesRequest 

func (c *Rekognition) SearchFacesRequest(input *SearchFacesInput) (req *request.Request, output *SearchFacesOutput)

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)
}

type S3Object 

type S3Object struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (S3Object) GoString 

func (s S3Object) GoString() string

GoString returns the string representation

func (*S3Object) SetBucket 

func (s *S3Object) SetBucket(v string) *S3Object

SetBucket sets the Bucket field's value.

func (*S3Object) SetName 

func (s *S3Object) SetName(v string) *S3Object

SetName sets the Name field's value.

func (*S3Object) SetVersion 

func (s *S3Object) SetVersion(v string) *S3Object

SetVersion sets the Version field's value.

func (S3Object) String 

func (s S3Object) String() string

String returns the string representation

func (*S3Object) Validate 

func (s *S3Object) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchFacesByImageInput 

type SearchFacesByImageInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (SearchFacesByImageInput) GoString 

func (s SearchFacesByImageInput) GoString() string

GoString returns the string representation

func (*SearchFacesByImageInput) SetCollectionId 

func (s *SearchFacesByImageInput) SetCollectionId(v string) *SearchFacesByImageInput

SetCollectionId sets the CollectionId field's value.

func (*SearchFacesByImageInput) SetFaceMatchThreshold 

func (s *SearchFacesByImageInput) SetFaceMatchThreshold(v float64) *SearchFacesByImageInput

SetFaceMatchThreshold sets the FaceMatchThreshold field's value.

func (*SearchFacesByImageInput) SetImage 

func (s *SearchFacesByImageInput) SetImage(v *Image) *SearchFacesByImageInput

SetImage sets the Image field's value.

func (*SearchFacesByImageInput) SetMaxFaces 

func (s *SearchFacesByImageInput) SetMaxFaces(v int64) *SearchFacesByImageInput

SetMaxFaces sets the MaxFaces field's value.

func (SearchFacesByImageInput) String 

func (s SearchFacesByImageInput) String() string

String returns the string representation

func (*SearchFacesByImageInput) Validate 

func (s *SearchFacesByImageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchFacesByImageOutput 

type SearchFacesByImageOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (SearchFacesByImageOutput) GoString 

func (s SearchFacesByImageOutput) GoString() string

GoString returns the string representation

func (*SearchFacesByImageOutput) SetFaceMatches 

func (s *SearchFacesByImageOutput) SetFaceMatches(v []*FaceMatch) *SearchFacesByImageOutput

SetFaceMatches sets the FaceMatches field's value.

func (*SearchFacesByImageOutput) SetSearchedFaceBoundingBox 

func (s *SearchFacesByImageOutput) SetSearchedFaceBoundingBox(v *BoundingBox) *SearchFacesByImageOutput

SetSearchedFaceBoundingBox sets the SearchedFaceBoundingBox field's value.

func (*SearchFacesByImageOutput) SetSearchedFaceConfidence 

func (s *SearchFacesByImageOutput) SetSearchedFaceConfidence(v float64) *SearchFacesByImageOutput

SetSearchedFaceConfidence sets the SearchedFaceConfidence field's value.

func (SearchFacesByImageOutput) String 

func (s SearchFacesByImageOutput) String() string

String returns the string representation

type SearchFacesInput 

type SearchFacesInput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (SearchFacesInput) GoString 

func (s SearchFacesInput) GoString() string

GoString returns the string representation

func (*SearchFacesInput) SetCollectionId 

func (s *SearchFacesInput) SetCollectionId(v string) *SearchFacesInput

SetCollectionId sets the CollectionId field's value.

func (*SearchFacesInput) SetFaceId 

func (s *SearchFacesInput) SetFaceId(v string) *SearchFacesInput

SetFaceId sets the FaceId field's value.

func (*SearchFacesInput) SetFaceMatchThreshold 

func (s *SearchFacesInput) SetFaceMatchThreshold(v float64) *SearchFacesInput

SetFaceMatchThreshold sets the FaceMatchThreshold field's value.

func (*SearchFacesInput) SetMaxFaces 

func (s *SearchFacesInput) SetMaxFaces(v int64) *SearchFacesInput

SetMaxFaces sets the MaxFaces field's value.

func (SearchFacesInput) String 

func (s SearchFacesInput) String() string

String returns the string representation

func (*SearchFacesInput) Validate 

func (s *SearchFacesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchFacesOutput 

type SearchFacesOutput struct {

	// 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"`
	// contains filtered or unexported fields
}

func (SearchFacesOutput) GoString 

func (s SearchFacesOutput) GoString() string

GoString returns the string representation

func (*SearchFacesOutput) SetFaceMatches 

func (s *SearchFacesOutput) SetFaceMatches(v []*FaceMatch) *SearchFacesOutput

SetFaceMatches sets the FaceMatches field's value.

func (*SearchFacesOutput) SetSearchedFaceId 

func (s *SearchFacesOutput) SetSearchedFaceId(v string) *SearchFacesOutput

SetSearchedFaceId sets the SearchedFaceId field's value.

func (SearchFacesOutput) String 

func (s SearchFacesOutput) String() string

String returns the string representation

type Smile 

type Smile struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the face is smiling, and the confidence level in the determination.

func (Smile) GoString 

func (s Smile) GoString() string

GoString returns the string representation

func (*Smile) SetConfidence 

func (s *Smile) SetConfidence(v float64) *Smile

SetConfidence sets the Confidence field's value.

func (*Smile) SetValue 

func (s *Smile) SetValue(v bool) *Smile

SetValue sets the Value field's value.

func (Smile) String 

func (s Smile) String() string

String returns the string representation

type Sunglasses 

type Sunglasses struct {

	// 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"`
	// contains filtered or unexported fields
}

Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.

func (Sunglasses) GoString 

func (s Sunglasses) GoString() string

GoString returns the string representation

func (*Sunglasses) SetConfidence 

func (s *Sunglasses) SetConfidence(v float64) *Sunglasses

SetConfidence sets the Confidence field's value.

func (*Sunglasses) SetValue 

func (s *Sunglasses) SetValue(v bool) *Sunglasses

SetValue sets the Value field's value.

func (Sunglasses) String 

func (s Sunglasses) String() string

String returns the string representation

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Path Synopsis
Package rekognitioniface provides an interface to enable mocking the Amazon Rekognition service client for testing your code.
 Package rekognitioniface provides an interface to enable mocking the Amazon Rekognition service client for testing your code.

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