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¶
Arguments¶
JobId[required] Unique identifier for the face detection job. The
JobIdis returned fromstart_face_detection.MaxResultsMaximum 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.
NextTokenIf 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"
)