Start Text Detection
| rekognition_start_text_detection | R Documentation |
Starts asynchronous detection of text in a stored video¶
Description¶
Starts asynchronous detection of text in a stored video.
Amazon Rekognition Video can detect text in a video stored in an Amazon
S3 bucket. Use Video to specify the bucket name and the filename of the
video. start_text_detection returns a job identifier (JobId) which
you use to get the results of the operation. When text 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 text detection operation, first check that the
status value published to the Amazon SNS topic is SUCCEEDED. if so,
call get_text_detection and pass the job identifier (JobId) from the
initial call to start_text_detection.
Usage¶
rekognition_start_text_detection(Video, ClientRequestToken,
NotificationChannel, JobTag, Filters)
Arguments¶
Video |
[required] Video file stored in an Amazon S3 bucket. Amazon
Rekognition video start operations such as
|
ClientRequestToken |
Idempotent token used to identify the start request. If you use
the same token with multiple |
NotificationChannel |
The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see Calling Amazon Rekognition Video operations. Note that the Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see Giving access to multiple Amazon SNS topics. |
JobTag |
An identifier returned in the completion status published by your
Amazon Simple Notification Service topic. For example, you can use
|
Filters |
Optional parameters that let you set criteria the text must meet to be included in your response. |
Value¶
A list with the following syntax:
list(
JobId = "string"
)
Request syntax¶
svc$start_text_detection(
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
JobTag = "string",
Filters = list(
WordFilter = list(
MinConfidence = 123.0,
MinBoundingBoxHeight = 123.0,
MinBoundingBoxWidth = 123.0
),
RegionsOfInterest = list(
list(
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
),
Polygon = list(
list(
X = 123.0,
Y = 123.0
)
)
)
)
)
)