Starts asynchronous detection of faces in a stored video
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.
rekognition_start_face_detection(Video, ClientRequestToken, NotificationChannel, FaceAttributes, JobTag)
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. |
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 |
A list with the following syntax:
list( JobId = "string" )
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"
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.