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Get Face Detection

rekognition_get_face_detection R Documentation

Gets face detection results for a Amazon Rekognition Video analysis started by StartFaceDetection

Description

Gets face detection results for a Amazon Rekognition Video analysis started by start_face_detection.

Face detection with Amazon Rekognition Video is an asynchronous operation. You start face detection by calling start_face_detection which returns a job identifier (JobId). When the face detection operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to start_face_detection. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call get_face_detection and pass the job identifier (JobId) from the initial call to start_face_detection.

get_face_detection returns an array of detected faces (Faces) sorted by the time the faces were detected.

Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call get_face_detection and populate the NextToken request parameter with the token value returned from the previous call to get_face_detection.

Note that for the get_face_detection operation, the returned values for FaceOccluded and EyeDirection will always be "null".

Usage

rekognition_get_face_detection(JobId, MaxResults, NextToken)

Arguments

JobId

[required] Unique identifier for the face detection job. The JobId is returned from start_face_detection.

MaxResults

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

NextToken

If the previous response was incomplete (because there are more faces to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.

Value

A list with the following syntax:

list(
  JobStatus = "IN_PROGRESS"|"SUCCEEDED"|"FAILED",
  StatusMessage = "string",
  VideoMetadata = list(
    Codec = "string",
    DurationMillis = 123,
    Format = "string",
    FrameRate = 123.0,
    FrameHeight = 123,
    FrameWidth = 123,
    ColorRange = "FULL"|"LIMITED"
  ),
  NextToken = "string",
  Faces = list(
    list(
      Timestamp = 123,
      Face = list(
        BoundingBox = list(
          Width = 123.0,
          Height = 123.0,
          Left = 123.0,
          Top = 123.0
        ),
        AgeRange = list(
          Low = 123,
          High = 123
        ),
        Smile = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        Eyeglasses = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        Sunglasses = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        Gender = list(
          Value = "Male"|"Female",
          Confidence = 123.0
        ),
        Beard = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        Mustache = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        EyesOpen = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        MouthOpen = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        Emotions = list(
          list(
            Type = "HAPPY"|"SAD"|"ANGRY"|"CONFUSED"|"DISGUSTED"|"SURPRISED"|"CALM"|"UNKNOWN"|"FEAR",
            Confidence = 123.0
          )
        ),
        Landmarks = list(
          list(
            Type = "eyeLeft"|"eyeRight"|"nose"|"mouthLeft"|"mouthRight"|"leftEyeBrowLeft"|"leftEyeBrowRight"|"leftEyeBrowUp"|"rightEyeBrowLeft"|"rightEyeBrowRight"|"rightEyeBrowUp"|"leftEyeLeft"|"leftEyeRight"|"leftEyeUp"|"leftEyeDown"|"rightEyeLeft"|"rightEyeRight"|"rightEyeUp"|"rightEyeDown"|"noseLeft"|"noseRight"|"mouthUp"|"mouthDown"|"leftPupil"|"rightPupil"|"upperJawlineLeft"|"midJawlineLeft"|"chinBottom"|"midJawlineRight"|"upperJawlineRight",
            X = 123.0,
            Y = 123.0
          )
        ),
        Pose = list(
          Roll = 123.0,
          Yaw = 123.0,
          Pitch = 123.0
        ),
        Quality = list(
          Brightness = 123.0,
          Sharpness = 123.0
        ),
        Confidence = 123.0,
        FaceOccluded = list(
          Value = TRUE|FALSE,
          Confidence = 123.0
        ),
        EyeDirection = list(
          Yaw = 123.0,
          Pitch = 123.0,
          Confidence = 123.0
        )
      )
    )
  ),
  JobId = "string",
  Video = list(
    S3Object = list(
      Bucket = "string",
      Name = "string",
      Version = "string"
    )
  ),
  JobTag = "string"
)

Request syntax

svc$get_face_detection(
  JobId = "string",
  MaxResults = 123,
  NextToken = "string"
)