Gets face detection results for a Amazon Rekognition Video analysis started by StartFaceDetection
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.
rekognition_get_face_detection(JobId, MaxResults, NextToken)
JobId |
[required] Unique identifier for the face detection job. The |
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. |
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
),
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
)
)
)
)svc$get_face_detection( JobId = "string", MaxResults = 123, NextToken = "string" )
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