Start Celebrity Recognition
rekognition_start_celebrity_recognition | R Documentation |
Starts asynchronous recognition of celebrities in a stored video¶
Description¶
Starts asynchronous recognition of celebrities in a stored video.
Amazon Rekognition Video can detect celebrities in a video must be
stored in an Amazon S3 bucket. Use Video to specify the bucket name and
the filename of the video. start_celebrity_recognition
returns a job
identifier (JobId
) which you use to get the results of the analysis.
When celebrity recognition analysis 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 celebrity recognition analysis, first check that the
status value published to the Amazon SNS topic is SUCCEEDED
. If so,
call get_celebrity_recognition
and pass the job identifier (JobId
)
from the initial call to start_celebrity_recognition
.
For more information, see Recognizing celebrities in the Amazon Rekognition Developer Guide.
Usage¶
rekognition_start_celebrity_recognition(Video, ClientRequestToken,
NotificationChannel, JobTag)
Arguments¶
Video |
[required] The video in which you want to recognize celebrities. 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 Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the celebrity recognition analysis to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy. |
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_celebrity_recognition(
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
JobTag = "string"
)