Documentation ¶
Overview ¶
Package rekognition provides the client and types for making API requests to Amazon Rekognition.
This is the Amazon Rekognition API reference.
See rekognition package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/rekognition/
Using the Client ¶
To use the client for Amazon Rekognition you will first need to create a new instance of it.
When creating a client for an AWS service you'll first need to have a Session already created. The Session provides configuration that can be shared between multiple service clients. Additional configuration can be applied to the Session and service's client when they are constructed. The aws package's Config type contains several fields such as Region for the AWS Region the client should make API requests too. The optional Config value can be provided as the variadic argument for Sessions and client creation.
Once the service's client is created you can use it to make API requests the AWS service. These clients are safe to use concurrently.
// Create a session to share configuration, and load external configuration. sess := session.Must(session.NewSession()) // Create the service's client with the session. svc := rekognition.New(sess)
See the SDK's documentation for more information on how to use service clients. https://docs.aws.amazon.com/sdk-for-go/api/
See aws package's Config type for more information on configuration options. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config
See the Amazon Rekognition client Rekognition for more information on creating the service's client. https://docs.aws.amazon.com/sdk-for-go/api/service/rekognition/#New
Once the client is created you can make an API request to the service. Each API method takes a input parameter, and returns the service response and an error.
The API method will document which error codes the service can be returned by the operation if the service models the API operation's errors. These errors will also be available as const strings prefixed with "ErrCode".
result, err := svc.CompareFaces(params) if err != nil { // Cast err to awserr.Error to handle specific error codes. aerr, ok := err.(awserr.Error) if ok && aerr.Code() == <error code to check for> { // Specific error code handling } return err } fmt.Println("CompareFaces result:") fmt.Println(result)
Using the Client with Context ¶
The service's client also provides methods to make API requests with a Context value. This allows you to control the timeout, and cancellation of pending requests. These methods also take request Option as variadic parameter to apply additional configuration to the API request.
ctx := context.Background() result, err := svc.CompareFacesWithContext(ctx, params)
See the request package documentation for more information on using Context pattern with the SDK. https://docs.aws.amazon.com/sdk-for-go/api/aws/request/
Index ¶
- Constants
- type AgeRange
- type Beard
- type BoundingBox
- type CompareFacesInput
- func (s CompareFacesInput) GoString() string
- func (s *CompareFacesInput) SetSimilarityThreshold(v float64) *CompareFacesInput
- func (s *CompareFacesInput) SetSourceImage(v *Image) *CompareFacesInput
- func (s *CompareFacesInput) SetTargetImage(v *Image) *CompareFacesInput
- func (s CompareFacesInput) String() string
- func (s *CompareFacesInput) Validate() error
- type CompareFacesMatch
- type CompareFacesOutput
- type ComparedFace
- type ComparedSourceImageFace
- type CreateCollectionInput
- type CreateCollectionOutput
- type DeleteCollectionInput
- type DeleteCollectionOutput
- type DeleteFacesInput
- type DeleteFacesOutput
- type DetectFacesInput
- type DetectFacesOutput
- type DetectLabelsInput
- func (s DetectLabelsInput) GoString() string
- func (s *DetectLabelsInput) SetImage(v *Image) *DetectLabelsInput
- func (s *DetectLabelsInput) SetMaxLabels(v int64) *DetectLabelsInput
- func (s *DetectLabelsInput) SetMinConfidence(v float64) *DetectLabelsInput
- func (s DetectLabelsInput) String() string
- func (s *DetectLabelsInput) Validate() error
- type DetectLabelsOutput
- type DetectModerationLabelsInput
- func (s DetectModerationLabelsInput) GoString() string
- func (s *DetectModerationLabelsInput) SetImage(v *Image) *DetectModerationLabelsInput
- func (s *DetectModerationLabelsInput) SetMinConfidence(v float64) *DetectModerationLabelsInput
- func (s DetectModerationLabelsInput) String() string
- func (s *DetectModerationLabelsInput) Validate() error
- type DetectModerationLabelsOutput
- type Emotion
- type EyeOpen
- type Eyeglasses
- type Face
- type FaceDetail
- func (s FaceDetail) GoString() string
- func (s *FaceDetail) SetAgeRange(v *AgeRange) *FaceDetail
- func (s *FaceDetail) SetBeard(v *Beard) *FaceDetail
- func (s *FaceDetail) SetBoundingBox(v *BoundingBox) *FaceDetail
- func (s *FaceDetail) SetConfidence(v float64) *FaceDetail
- func (s *FaceDetail) SetEmotions(v []*Emotion) *FaceDetail
- func (s *FaceDetail) SetEyeglasses(v *Eyeglasses) *FaceDetail
- func (s *FaceDetail) SetEyesOpen(v *EyeOpen) *FaceDetail
- func (s *FaceDetail) SetGender(v *Gender) *FaceDetail
- func (s *FaceDetail) SetLandmarks(v []*Landmark) *FaceDetail
- func (s *FaceDetail) SetMouthOpen(v *MouthOpen) *FaceDetail
- func (s *FaceDetail) SetMustache(v *Mustache) *FaceDetail
- func (s *FaceDetail) SetPose(v *Pose) *FaceDetail
- func (s *FaceDetail) SetQuality(v *ImageQuality) *FaceDetail
- func (s *FaceDetail) SetSmile(v *Smile) *FaceDetail
- func (s *FaceDetail) SetSunglasses(v *Sunglasses) *FaceDetail
- func (s FaceDetail) String() string
- type FaceMatch
- type FaceRecord
- type Gender
- type Image
- type ImageQuality
- type IndexFacesInput
- func (s IndexFacesInput) GoString() string
- func (s *IndexFacesInput) SetCollectionId(v string) *IndexFacesInput
- func (s *IndexFacesInput) SetDetectionAttributes(v []*string) *IndexFacesInput
- func (s *IndexFacesInput) SetExternalImageId(v string) *IndexFacesInput
- func (s *IndexFacesInput) SetImage(v *Image) *IndexFacesInput
- func (s IndexFacesInput) String() string
- func (s *IndexFacesInput) Validate() error
- type IndexFacesOutput
- type Label
- type Landmark
- type ListCollectionsInput
- type ListCollectionsOutput
- type ListFacesInput
- func (s ListFacesInput) GoString() string
- func (s *ListFacesInput) SetCollectionId(v string) *ListFacesInput
- func (s *ListFacesInput) SetMaxResults(v int64) *ListFacesInput
- func (s *ListFacesInput) SetNextToken(v string) *ListFacesInput
- func (s ListFacesInput) String() string
- func (s *ListFacesInput) Validate() error
- type ListFacesOutput
- type ModerationLabel
- type MouthOpen
- type Mustache
- type Pose
- type Rekognition
- func (c *Rekognition) CompareFaces(input *CompareFacesInput) (*CompareFacesOutput, error)
- func (c *Rekognition) CompareFacesRequest(input *CompareFacesInput) (req *request.Request, output *CompareFacesOutput)
- func (c *Rekognition) CompareFacesWithContext(ctx aws.Context, input *CompareFacesInput, opts ...request.Option) (*CompareFacesOutput, error)
- func (c *Rekognition) CreateCollection(input *CreateCollectionInput) (*CreateCollectionOutput, error)
- func (c *Rekognition) CreateCollectionRequest(input *CreateCollectionInput) (req *request.Request, output *CreateCollectionOutput)
- func (c *Rekognition) CreateCollectionWithContext(ctx aws.Context, input *CreateCollectionInput, opts ...request.Option) (*CreateCollectionOutput, error)
- func (c *Rekognition) DeleteCollection(input *DeleteCollectionInput) (*DeleteCollectionOutput, error)
- func (c *Rekognition) DeleteCollectionRequest(input *DeleteCollectionInput) (req *request.Request, output *DeleteCollectionOutput)
- func (c *Rekognition) DeleteCollectionWithContext(ctx aws.Context, input *DeleteCollectionInput, opts ...request.Option) (*DeleteCollectionOutput, error)
- func (c *Rekognition) DeleteFaces(input *DeleteFacesInput) (*DeleteFacesOutput, error)
- func (c *Rekognition) DeleteFacesRequest(input *DeleteFacesInput) (req *request.Request, output *DeleteFacesOutput)
- func (c *Rekognition) DeleteFacesWithContext(ctx aws.Context, input *DeleteFacesInput, opts ...request.Option) (*DeleteFacesOutput, error)
- func (c *Rekognition) DetectFaces(input *DetectFacesInput) (*DetectFacesOutput, error)
- func (c *Rekognition) DetectFacesRequest(input *DetectFacesInput) (req *request.Request, output *DetectFacesOutput)
- func (c *Rekognition) DetectFacesWithContext(ctx aws.Context, input *DetectFacesInput, opts ...request.Option) (*DetectFacesOutput, error)
- func (c *Rekognition) DetectLabels(input *DetectLabelsInput) (*DetectLabelsOutput, error)
- func (c *Rekognition) DetectLabelsRequest(input *DetectLabelsInput) (req *request.Request, output *DetectLabelsOutput)
- func (c *Rekognition) DetectLabelsWithContext(ctx aws.Context, input *DetectLabelsInput, opts ...request.Option) (*DetectLabelsOutput, error)
- func (c *Rekognition) DetectModerationLabels(input *DetectModerationLabelsInput) (*DetectModerationLabelsOutput, error)
- func (c *Rekognition) DetectModerationLabelsRequest(input *DetectModerationLabelsInput) (req *request.Request, output *DetectModerationLabelsOutput)
- func (c *Rekognition) DetectModerationLabelsWithContext(ctx aws.Context, input *DetectModerationLabelsInput, opts ...request.Option) (*DetectModerationLabelsOutput, error)
- func (c *Rekognition) IndexFaces(input *IndexFacesInput) (*IndexFacesOutput, error)
- func (c *Rekognition) IndexFacesRequest(input *IndexFacesInput) (req *request.Request, output *IndexFacesOutput)
- func (c *Rekognition) IndexFacesWithContext(ctx aws.Context, input *IndexFacesInput, opts ...request.Option) (*IndexFacesOutput, error)
- func (c *Rekognition) ListCollections(input *ListCollectionsInput) (*ListCollectionsOutput, error)
- func (c *Rekognition) ListCollectionsPages(input *ListCollectionsInput, fn func(*ListCollectionsOutput, bool) bool) error
- func (c *Rekognition) ListCollectionsPagesWithContext(ctx aws.Context, input *ListCollectionsInput, ...) error
- func (c *Rekognition) ListCollectionsRequest(input *ListCollectionsInput) (req *request.Request, output *ListCollectionsOutput)
- func (c *Rekognition) ListCollectionsWithContext(ctx aws.Context, input *ListCollectionsInput, opts ...request.Option) (*ListCollectionsOutput, error)
- func (c *Rekognition) ListFaces(input *ListFacesInput) (*ListFacesOutput, error)
- func (c *Rekognition) ListFacesPages(input *ListFacesInput, fn func(*ListFacesOutput, bool) bool) error
- func (c *Rekognition) ListFacesPagesWithContext(ctx aws.Context, input *ListFacesInput, fn func(*ListFacesOutput, bool) bool, ...) error
- func (c *Rekognition) ListFacesRequest(input *ListFacesInput) (req *request.Request, output *ListFacesOutput)
- func (c *Rekognition) ListFacesWithContext(ctx aws.Context, input *ListFacesInput, opts ...request.Option) (*ListFacesOutput, error)
- func (c *Rekognition) SearchFaces(input *SearchFacesInput) (*SearchFacesOutput, error)
- func (c *Rekognition) SearchFacesByImage(input *SearchFacesByImageInput) (*SearchFacesByImageOutput, error)
- func (c *Rekognition) SearchFacesByImageRequest(input *SearchFacesByImageInput) (req *request.Request, output *SearchFacesByImageOutput)
- func (c *Rekognition) SearchFacesByImageWithContext(ctx aws.Context, input *SearchFacesByImageInput, opts ...request.Option) (*SearchFacesByImageOutput, error)
- func (c *Rekognition) SearchFacesRequest(input *SearchFacesInput) (req *request.Request, output *SearchFacesOutput)
- func (c *Rekognition) SearchFacesWithContext(ctx aws.Context, input *SearchFacesInput, opts ...request.Option) (*SearchFacesOutput, error)
- type S3Object
- type SearchFacesByImageInput
- func (s SearchFacesByImageInput) GoString() string
- func (s *SearchFacesByImageInput) SetCollectionId(v string) *SearchFacesByImageInput
- func (s *SearchFacesByImageInput) SetFaceMatchThreshold(v float64) *SearchFacesByImageInput
- func (s *SearchFacesByImageInput) SetImage(v *Image) *SearchFacesByImageInput
- func (s *SearchFacesByImageInput) SetMaxFaces(v int64) *SearchFacesByImageInput
- func (s SearchFacesByImageInput) String() string
- func (s *SearchFacesByImageInput) Validate() error
- type SearchFacesByImageOutput
- func (s SearchFacesByImageOutput) GoString() string
- func (s *SearchFacesByImageOutput) SetFaceMatches(v []*FaceMatch) *SearchFacesByImageOutput
- func (s *SearchFacesByImageOutput) SetSearchedFaceBoundingBox(v *BoundingBox) *SearchFacesByImageOutput
- func (s *SearchFacesByImageOutput) SetSearchedFaceConfidence(v float64) *SearchFacesByImageOutput
- func (s SearchFacesByImageOutput) String() string
- type SearchFacesInput
- func (s SearchFacesInput) GoString() string
- func (s *SearchFacesInput) SetCollectionId(v string) *SearchFacesInput
- func (s *SearchFacesInput) SetFaceId(v string) *SearchFacesInput
- func (s *SearchFacesInput) SetFaceMatchThreshold(v float64) *SearchFacesInput
- func (s *SearchFacesInput) SetMaxFaces(v int64) *SearchFacesInput
- func (s SearchFacesInput) String() string
- func (s *SearchFacesInput) Validate() error
- type SearchFacesOutput
- type Smile
- type Sunglasses
Examples ¶
- Rekognition.CompareFaces
- Rekognition.CreateCollection
- Rekognition.DeleteCollection
- Rekognition.DeleteFaces
- Rekognition.DetectFaces
- Rekognition.DetectLabels
- Rekognition.DetectModerationLabels
- Rekognition.IndexFaces
- Rekognition.ListCollections
- Rekognition.ListFaces
- Rekognition.SearchFaces
- Rekognition.SearchFacesByImage
Constants ¶
const ( // AttributeDefault is a Attribute enum value AttributeDefault = "DEFAULT" // AttributeAll is a Attribute enum value AttributeAll = "ALL" )
const ( // EmotionNameHappy is a EmotionName enum value EmotionNameHappy = "HAPPY" // EmotionNameSad is a EmotionName enum value EmotionNameSad = "SAD" // EmotionNameAngry is a EmotionName enum value EmotionNameAngry = "ANGRY" // EmotionNameConfused is a EmotionName enum value EmotionNameConfused = "CONFUSED" // EmotionNameDisgusted is a EmotionName enum value EmotionNameDisgusted = "DISGUSTED" // EmotionNameSurprised is a EmotionName enum value EmotionNameSurprised = "SURPRISED" // EmotionNameCalm is a EmotionName enum value EmotionNameCalm = "CALM" // EmotionNameUnknown is a EmotionName enum value EmotionNameUnknown = "UNKNOWN" )
const ( // GenderTypeMale is a GenderType enum value GenderTypeMale = "MALE" // GenderTypeFemale is a GenderType enum value GenderTypeFemale = "FEMALE" )
const ( // LandmarkTypeEyeLeft is a LandmarkType enum value LandmarkTypeEyeLeft = "EYE_LEFT" // LandmarkTypeEyeRight is a LandmarkType enum value LandmarkTypeEyeRight = "EYE_RIGHT" // LandmarkTypeNose is a LandmarkType enum value LandmarkTypeNose = "NOSE" // LandmarkTypeMouthLeft is a LandmarkType enum value LandmarkTypeMouthLeft = "MOUTH_LEFT" // LandmarkTypeMouthRight is a LandmarkType enum value LandmarkTypeMouthRight = "MOUTH_RIGHT" // LandmarkTypeLeftEyebrowLeft is a LandmarkType enum value LandmarkTypeLeftEyebrowLeft = "LEFT_EYEBROW_LEFT" // LandmarkTypeLeftEyebrowRight is a LandmarkType enum value LandmarkTypeLeftEyebrowRight = "LEFT_EYEBROW_RIGHT" // LandmarkTypeLeftEyebrowUp is a LandmarkType enum value LandmarkTypeLeftEyebrowUp = "LEFT_EYEBROW_UP" // LandmarkTypeRightEyebrowLeft is a LandmarkType enum value LandmarkTypeRightEyebrowLeft = "RIGHT_EYEBROW_LEFT" // LandmarkTypeRightEyebrowRight is a LandmarkType enum value LandmarkTypeRightEyebrowRight = "RIGHT_EYEBROW_RIGHT" // LandmarkTypeRightEyebrowUp is a LandmarkType enum value LandmarkTypeRightEyebrowUp = "RIGHT_EYEBROW_UP" // LandmarkTypeLeftEyeLeft is a LandmarkType enum value LandmarkTypeLeftEyeLeft = "LEFT_EYE_LEFT" // LandmarkTypeLeftEyeRight is a LandmarkType enum value LandmarkTypeLeftEyeRight = "LEFT_EYE_RIGHT" // LandmarkTypeLeftEyeUp is a LandmarkType enum value LandmarkTypeLeftEyeUp = "LEFT_EYE_UP" // LandmarkTypeLeftEyeDown is a LandmarkType enum value LandmarkTypeLeftEyeDown = "LEFT_EYE_DOWN" // LandmarkTypeRightEyeLeft is a LandmarkType enum value LandmarkTypeRightEyeLeft = "RIGHT_EYE_LEFT" // LandmarkTypeRightEyeRight is a LandmarkType enum value LandmarkTypeRightEyeRight = "RIGHT_EYE_RIGHT" // LandmarkTypeRightEyeUp is a LandmarkType enum value LandmarkTypeRightEyeUp = "RIGHT_EYE_UP" // LandmarkTypeRightEyeDown is a LandmarkType enum value LandmarkTypeRightEyeDown = "RIGHT_EYE_DOWN" // LandmarkTypeNoseLeft is a LandmarkType enum value LandmarkTypeNoseLeft = "NOSE_LEFT" // LandmarkTypeNoseRight is a LandmarkType enum value LandmarkTypeNoseRight = "NOSE_RIGHT" // LandmarkTypeMouthUp is a LandmarkType enum value LandmarkTypeMouthUp = "MOUTH_UP" // LandmarkTypeMouthDown is a LandmarkType enum value LandmarkTypeMouthDown = "MOUTH_DOWN" // LandmarkTypeLeftPupil is a LandmarkType enum value LandmarkTypeLeftPupil = "LEFT_PUPIL" // LandmarkTypeRightPupil is a LandmarkType enum value LandmarkTypeRightPupil = "RIGHT_PUPIL" )
const ( // OrientationCorrectionRotate0 is a OrientationCorrection enum value OrientationCorrectionRotate0 = "ROTATE_0" // OrientationCorrectionRotate90 is a OrientationCorrection enum value OrientationCorrectionRotate90 = "ROTATE_90" // OrientationCorrectionRotate180 is a OrientationCorrection enum value OrientationCorrectionRotate180 = "ROTATE_180" // OrientationCorrectionRotate270 is a OrientationCorrection enum value OrientationCorrectionRotate270 = "ROTATE_270" )
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" )
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 ¶
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.
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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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 want to be returned. This can be the default // list of attributes or all attributes. If you don't specify a value for Attributes // or if you specify ["DEFAULT"], the API returns the following subset of facial // attributes: BoundingBox, Confidence, Pose, Quality and Landmarks. If you // provide ["ALL"], all facial attributes are returned but the operation will // take longer to complete. // // If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator // to determine which attributes to return (in this case, all attributes). 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 DetectModerationLabelsInput ¶
type DetectModerationLabelsInput struct { // 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"` // Specifies the minimum confidence level for the labels to return. Amazon Rekognition // doesn't return any labels with a confidence level lower than this specified // value. // // If you don't specify MinConfidence, the operation returns labels with confidence // values greater than or equal to 50 percent. MinConfidence *float64 `type:"float"` // contains filtered or unexported fields }
func (DetectModerationLabelsInput) GoString ¶
func (s DetectModerationLabelsInput) GoString() string
GoString returns the string representation
func (*DetectModerationLabelsInput) SetImage ¶
func (s *DetectModerationLabelsInput) SetImage(v *Image) *DetectModerationLabelsInput
SetImage sets the Image field's value.
func (*DetectModerationLabelsInput) SetMinConfidence ¶
func (s *DetectModerationLabelsInput) SetMinConfidence(v float64) *DetectModerationLabelsInput
SetMinConfidence sets the MinConfidence field's value.
func (DetectModerationLabelsInput) String ¶
func (s DetectModerationLabelsInput) String() string
String returns the string representation
func (*DetectModerationLabelsInput) Validate ¶
func (s *DetectModerationLabelsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DetectModerationLabelsOutput ¶
type DetectModerationLabelsOutput struct { // A list of labels for explicit or suggestive adult content found in the image. // The list includes the top-level label and each child label detected in the // image. This is useful for filtering specific categories of content. ModerationLabels []*ModerationLabel `type:"list"` // contains filtered or unexported fields }
func (DetectModerationLabelsOutput) GoString ¶
func (s DetectModerationLabelsOutput) GoString() string
GoString returns the string representation
func (*DetectModerationLabelsOutput) SetModerationLabels ¶
func (s *DetectModerationLabelsOutput) SetModerationLabels(v []*ModerationLabel) *DetectModerationLabelsOutput
SetModerationLabels sets the ModerationLabels field's value.
func (DetectModerationLabelsOutput) String ¶
func (s DetectModerationLabelsOutput) 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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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) SetBoundingBox ¶
func (s *Face) SetBoundingBox(v *BoundingBox) *Face
SetBoundingBox sets the BoundingBox field's value.
func (*Face) SetConfidence ¶
SetConfidence sets the Confidence field's value.
func (*Face) SetExternalImageId ¶
SetExternalImageId sets the ExternalImageId field's value.
func (*Face) SetImageId ¶
SetImageId sets the ImageId field's value.
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 ¶
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) SetSimilarity ¶
SetSimilarity sets the Similarity field's value.
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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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) SetS3Object ¶
SetS3Object sets the S3Object field's value.
type ImageQuality ¶
type ImageQuality struct { // Value representing brightness of the face. The service returns a value between // 0 and 100 (inclusive). A higher value indicates a brighter face image. Brightness *float64 `type:"float"` // Value representing sharpness of the face. The service returns a value between // 0 and 100 (inclusive). A higher value indicates a sharper face image. Sharpness *float64 `type:"float"` // contains filtered or unexported fields }
Identifies face 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 { // The ID of an existing collection to which you want to add the faces that // are detected in the input images. // // CollectionId is a required field CollectionId *string `min:"1" type:"string" required:"true"` // A list of facial attributes that you want to be returned. This can be the // default list of attributes or all attributes. If you don't specify a value // for Attributes or if you specify ["DEFAULT"], the API returns the following // subset of facial attributes: BoundingBox, Confidence, Pose, Quality and Landmarks. // If you provide ["ALL"], all facial attributes are returned but the operation // will take longer to complete. // // If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator // to determine which attributes to return (in this case, all attributes). DetectionAttributes []*string `type:"list"` // 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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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.
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 ModerationLabel ¶
type ModerationLabel struct { // Specifies the confidence that Amazon Rekognition has that the label has been // correctly identified. // // If you don't specify the MinConfidence parameter in the call to DetectModerationLabels, // the operation returns labels with a confidence value greater than or equal // to 50 percent. Confidence *float64 `type:"float"` // The label name for the type of content detected in the image. Name *string `type:"string"` // The name for the parent label. Labels at the top-level of the hierarchy have // the parent label "". ParentName *string `type:"string"` // contains filtered or unexported fields }
Provides information about a single type of moderated content found in an image. Each type of moderated content has a label within a hierarchical taxonomy. For more information, see howitworks-moderateimage.
func (ModerationLabel) GoString ¶
func (s ModerationLabel) GoString() string
GoString returns the string representation
func (*ModerationLabel) SetConfidence ¶
func (s *ModerationLabel) SetConfidence(v float64) *ModerationLabel
SetConfidence sets the Confidence field's value.
func (*ModerationLabel) SetName ¶
func (s *ModerationLabel) SetName(v string) *ModerationLabel
SetName sets the Name field's value.
func (*ModerationLabel) SetParentName ¶
func (s *ModerationLabel) SetParentName(v string) *ModerationLabel
SetParentName sets the ParentName field's value.
func (ModerationLabel) String ¶
func (s ModerationLabel) 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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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.
type Rekognition ¶
Rekognition provides the API operation methods for making requests to Amazon Rekognition. See this package's package overview docs for details on the service.
Rekognition methods are safe to use concurrently. It is not safe to modify mutate any of the struct's properties though.
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) CompareFacesWithContext ¶
func (c *Rekognition) CompareFacesWithContext(ctx aws.Context, input *CompareFacesInput, opts ...request.Option) (*CompareFacesOutput, error)
CompareFacesWithContext is the same as CompareFaces with the addition of the ability to pass a context and additional request options.
See CompareFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) CreateCollectionWithContext ¶
func (c *Rekognition) CreateCollectionWithContext(ctx aws.Context, input *CreateCollectionInput, opts ...request.Option) (*CreateCollectionOutput, error)
CreateCollectionWithContext is the same as CreateCollection with the addition of the ability to pass a context and additional request options.
See CreateCollection for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) DeleteCollectionWithContext ¶
func (c *Rekognition) DeleteCollectionWithContext(ctx aws.Context, input *DeleteCollectionInput, opts ...request.Option) (*DeleteCollectionOutput, error)
DeleteCollectionWithContext is the same as DeleteCollection with the addition of the ability to pass a context and additional request options.
See DeleteCollection for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) DeleteFacesWithContext ¶
func (c *Rekognition) DeleteFacesWithContext(ctx aws.Context, input *DeleteFacesInput, opts ...request.Option) (*DeleteFacesOutput, error)
DeleteFacesWithContext is the same as DeleteFaces with the addition of the ability to pass a context and additional request options.
See DeleteFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) DetectFacesWithContext ¶
func (c *Rekognition) DetectFacesWithContext(ctx aws.Context, input *DetectFacesInput, opts ...request.Option) (*DetectFacesOutput, error)
DetectFacesWithContext is the same as DetectFaces with the addition of the ability to pass a context and additional request options.
See DetectFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) DetectLabelsWithContext ¶
func (c *Rekognition) DetectLabelsWithContext(ctx aws.Context, input *DetectLabelsInput, opts ...request.Option) (*DetectLabelsOutput, error)
DetectLabelsWithContext is the same as DetectLabels with the addition of the ability to pass a context and additional request options.
See DetectLabels for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*Rekognition) DetectModerationLabels ¶
func (c *Rekognition) DetectModerationLabels(input *DetectModerationLabelsInput) (*DetectModerationLabelsOutput, error)
DetectModerationLabels API operation for Amazon Rekognition.
Detects explicit or suggestive adult content in a specified .jpeg or .png image. Use DetectModerationLabels to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.
To filter images, use the labels returned by DetectModerationLabels to determine which types of content are appropriate. For information about moderation labels, see howitworks-moderateimage.
Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.
See the AWS API reference guide for Amazon Rekognition's API operation DetectModerationLabels for usage and error information.
Returned Error 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.DetectModerationLabelsInput{ Image: &rekognition.Image{ // Required Bytes: []byte("PAYLOAD"), S3Object: &rekognition.S3Object{ Bucket: aws.String("S3Bucket"), Name: aws.String("S3ObjectName"), Version: aws.String("S3ObjectVersion"), }, }, MinConfidence: aws.Float64(1.0), } resp, err := svc.DetectModerationLabels(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) DetectModerationLabelsRequest ¶
func (c *Rekognition) DetectModerationLabelsRequest(input *DetectModerationLabelsInput) (req *request.Request, output *DetectModerationLabelsOutput)
DetectModerationLabelsRequest generates a "aws/request.Request" representing the client's request for the DetectModerationLabels operation. The "output" return value can be used to capture response data after the request's "Send" method is called.
See DetectModerationLabels 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 DetectModerationLabels 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 DetectModerationLabelsRequest method. req, resp := client.DetectModerationLabelsRequest(params) err := req.Send() if err == nil { // resp is now filled fmt.Println(resp) }
func (*Rekognition) DetectModerationLabelsWithContext ¶
func (c *Rekognition) DetectModerationLabelsWithContext(ctx aws.Context, input *DetectModerationLabelsInput, opts ...request.Option) (*DetectModerationLabelsOutput, error)
DetectModerationLabelsWithContext is the same as DetectModerationLabels with the addition of the ability to pass a context and additional request options.
See DetectModerationLabels for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) IndexFacesWithContext ¶
func (c *Rekognition) IndexFacesWithContext(ctx aws.Context, input *IndexFacesInput, opts ...request.Option) (*IndexFacesOutput, error)
IndexFacesWithContext is the same as IndexFaces with the addition of the ability to pass a context and additional request options.
See IndexFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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(*ListCollectionsOutput, bool) 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) ListCollectionsPagesWithContext ¶
func (c *Rekognition) ListCollectionsPagesWithContext(ctx aws.Context, input *ListCollectionsInput, fn func(*ListCollectionsOutput, bool) bool, opts ...request.Option) error
ListCollectionsPagesWithContext same as ListCollectionsPages except it takes a Context and allows setting request options on the pages.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) ListCollectionsWithContext ¶
func (c *Rekognition) ListCollectionsWithContext(ctx aws.Context, input *ListCollectionsInput, opts ...request.Option) (*ListCollectionsOutput, error)
ListCollectionsWithContext is the same as ListCollections with the addition of the ability to pass a context and additional request options.
See ListCollections for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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(*ListFacesOutput, bool) 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) ListFacesPagesWithContext ¶
func (c *Rekognition) ListFacesPagesWithContext(ctx aws.Context, input *ListFacesInput, fn func(*ListFacesOutput, bool) bool, opts ...request.Option) error
ListFacesPagesWithContext same as ListFacesPages except it takes a Context and allows setting request options on the pages.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) ListFacesWithContext ¶
func (c *Rekognition) ListFacesWithContext(ctx aws.Context, input *ListFacesInput, opts ...request.Option) (*ListFacesOutput, error)
ListFacesWithContext is the same as ListFaces with the addition of the ability to pass a context and additional request options.
See ListFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) SearchFacesByImageWithContext ¶
func (c *Rekognition) SearchFacesByImageWithContext(ctx aws.Context, input *SearchFacesByImageInput, opts ...request.Option) (*SearchFacesByImageOutput, error)
SearchFacesByImageWithContext is the same as SearchFacesByImage with the addition of the ability to pass a context and additional request options.
See SearchFacesByImage for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
func (*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) }
func (*Rekognition) SearchFacesWithContext ¶
func (c *Rekognition) SearchFacesWithContext(ctx aws.Context, input *SearchFacesInput, opts ...request.Option) (*SearchFacesOutput, error)
SearchFacesWithContext is the same as SearchFaces with the addition of the ability to pass a context and additional request options.
See SearchFaces for details on how to use this API operation.
The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.
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) SetVersion ¶
SetVersion sets the Version field's value.
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) SetConfidence ¶
SetConfidence sets the Confidence field's value.
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
Directories ¶
Path | Synopsis |
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Package rekognitioniface provides an interface to enable mocking the Amazon Rekognition service client for testing your code.
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Package rekognitioniface provides an interface to enable mocking the Amazon Rekognition service client for testing your code. |