def Run(self, args):
"""This is what gets called when the user runs this command.
Args:
args: an argparse namespace. All the arguments that were provided to this
command invocation.
Raises:
googlecloudsdk.api_lib.util.exceptions.HttpException, if there is an
error returned by the API.
Returns:
videointelligence_v1beta1_messages.GoogleLongRunningOperation: the
operation message.
"""
operation_ref = resources.REGISTRY.Parse(
args.id, collection='videointelligence.operations')
client = video_client.VideoClient()
return client.GetOperation(operation_ref)
output_uri: str, the URI for the results to be stored. Must be a Google
Cloud Storage URI.
segments: str | None, the segments of video to be analyzed in the form
'start1:end1,start2:end2,...', if any.
region: str | None, the Cloud Region to do analysis in, if any.
async: bool, whether to return the operation right away (async) or wait for
it to complete.
detection_mode: str, the detection mode if the LABEL_DETECTION feature
is being requested.
Raises:
SegmentError, if given segments aren't properly formatted.
content_source.UnrecognizedContentError: if the input URI is incorrectly
formatted.
Returns:
google.longrunning.Operation: the result of the video analysis
"""
client = video_client.VideoClient()
operation = client.RequestAnnotation(feature,
input_uri,
output_uri=output_uri,
region=region,
segments=segments,
detection_mode=detection_mode)
if async:
return operation
operation_ref = resources.REGISTRY.Parse(
operation.name, collection='videointelligence.operations')
return client.WaitOperation(operation_ref)