rekognition_get_celebrity_recognition: Gets the celebrity recognition results for a Amazon...

Description Usage Arguments Value Request syntax

View source: R/rekognition_operations.R

Description

Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by start_celebrity_recognition.

Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to start_celebrity_recognition which returns a job identifier (JobId). When the celebrity recognition operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to start_celebrity_recognition. To get the results of the celebrity recognition analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetCelebrityDetection and pass the job identifier (JobId) from the initial call to StartCelebrityDetection.

For more information, see Working With Stored Videos in the Amazon Rekognition Developer Guide.

get_celebrity_recognition returns detected celebrities and the time(s) they are detected in an array (Celebrities) of CelebrityRecognition objects. Each CelebrityRecognition contains information about the celebrity in a CelebrityDetail object and the time, Timestamp, the celebrity was detected.

get_celebrity_recognition only returns the default facial attributes (BoundingBox, Confidence, Landmarks, Pose, and Quality). The other facial attributes listed in the Face object of the following response syntax are not returned. For more information, see FaceDetail in the Amazon Rekognition Developer Guide.

By default, the Celebrities array is sorted by time (milliseconds from the start of the video). You can also sort the array by celebrity by specifying the value ID in the SortBy input parameter.

The CelebrityDetail object includes the celebrity identifer and additional information urls. If you don't store the additional information urls, you can get them later by calling get_celebrity_info with the celebrity identifer.

No information is returned for faces not recognized as celebrities.

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 GetCelebrityDetection and populate the NextToken request parameter with the token value returned from the previous call to get_celebrity_recognition.

Usage

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rekognition_get_celebrity_recognition(JobId, MaxResults, NextToken,
  SortBy)

Arguments

JobId

[required] Job identifier for the required celebrity recognition analysis. You can get the job identifer from a call to start_celebrity_recognition.

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 is more recognized celebrities to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of celebrities.

SortBy

Sort to use for celebrities returned in Celebrities field. Specify ID to sort by the celebrity identifier, specify TIMESTAMP to sort by the time the celebrity was recognized.

Value

A list with the following syntax:

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list(
  JobStatus = "IN_PROGRESS"|"SUCCEEDED"|"FAILED",
  StatusMessage = "string",
  VideoMetadata = list(
    Codec = "string",
    DurationMillis = 123,
    Format = "string",
    FrameRate = 123.0,
    FrameHeight = 123,
    FrameWidth = 123
  ),
  NextToken = "string",
  Celebrities = list(
    list(
      Timestamp = 123,
      Celebrity = list(
        Urls = list(
          "string"
        ),
        Name = "string",
        Id = "string",
        Confidence = 123.0,
        BoundingBox = list(
          Width = 123.0,
          Height = 123.0,
          Left = 123.0,
          Top = 123.0
        ),
        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
        )
      )
    )
  )
)

Request syntax

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svc$get_celebrity_recognition(
  JobId = "string",
  MaxResults = 123,
  NextToken = "string",
  SortBy = "ID"|"TIMESTAMP"
)

paws.machine.learning documentation built on Aug. 23, 2021, 9:14 a.m.