Start Face Detection
| rekognition_start_face_detection | R Documentation |
Starts asynchronous detection of faces in a stored video¶
Description¶
Starts asynchronous detection of faces in a stored video.
Amazon Rekognition Video can detect faces in a video stored in an Amazon
S3 bucket. Use Video to specify the bucket name and the filename of the
video. start_face_detection returns a job identifier (JobId) that
you use to get the results of the operation. When face detection is
finished, Amazon Rekognition Video publishes a completion status to the
Amazon Simple Notification Service topic that you specify in
NotificationChannel. 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.
For more information, see Detecting faces in a stored video in the Amazon Rekognition Developer Guide.
Usage¶
rekognition_start_face_detection(Video, ClientRequestToken,
NotificationChannel, FaceAttributes, JobTag)
Arguments¶
Video |
[required] The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket. |
ClientRequestToken |
Idempotent token used to identify the start request. If you use
the same token with multiple |
NotificationChannel |
The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy. |
FaceAttributes |
The face attributes you want returned.
|
JobTag |
An identifier you specify that's returned in the completion
notification that's published to your Amazon Simple Notification Service
topic. For example, you can use |
Value¶
A list with the following syntax:
list(
JobId = "string"
)
Request syntax¶
svc$start_face_detection(
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
FaceAttributes = "DEFAULT"|"ALL",
JobTag = "string"
)