get_segment_detection ¶

def get_segment_detection(
    self,
    job_id: "capo_rekognition.types.job_id.JobId",
    *,
    config_overrides: Optional[RekognitionClientConfig] = None,
    max_results: Optional["capo_rekognition.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_rekognition.types.pagination_token.PaginationToken"
    ] = None,
) -> "capo_rekognition.types.get_segment_detection_response.GetSegmentDetectionResponse":
    """<p>Gets the segment detection results of a Amazon Rekognition Video analysis started by <a>StartSegmentDetection</a>.</p> <p>Segment detection with Amazon Rekognition Video is an asynchronous operation. You start segment detection by calling <a>StartSegmentDetection</a> which returns a job identifier (<code>JobId</code>). When the segment detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartSegmentDetection</code>. To get the results of the segment detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. if so, call <code>GetSegmentDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call of <code>StartSegmentDetection</code>.</p> <p> <code>GetSegmentDetection</code> returns detected segments in an array (<code>Segments</code>) of <a>SegmentDetection</a> objects. <code>Segments</code> is sorted by the segment types specified in the <code>SegmentTypes</code> input parameter of <code>StartSegmentDetection</code>. Each element of the array includes the detected segment, the precentage confidence in the acuracy of the detected segment, the type of the segment, and the frame in which the segment was detected.</p> <p>Use <code>SelectedSegmentTypes</code> to find out the type of segment detection requested in the call to <code>StartSegmentDetection</code>.</p> <p>Use the <code>MaxResults</code> parameter to limit the number of segment detections returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetSegmentDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetSegmentDetection</code>.</p> <p>For more information, see Detecting video segments in stored video in the Amazon Rekognition Developer Guide.</p>

    Args:
        job_id: <p>Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to <code>StartSegmentDetection</code>.</p>
        max_results: <p>Maximum number of results to return per paginated call. The largest value you can specify is 1000.</p>
        next_token: <p>If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.</p>

    Raises:
        capo_rekognition.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform the action.</p>
        capo_rekognition.errors.internal_server_error.InternalServerError: <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
        capo_rekognition.errors.invalid_pagination_token_exception.InvalidPaginationTokenException: <p>Pagination token in the request is not valid.</p>
        capo_rekognition.errors.invalid_parameter_exception.InvalidParameterException: <p>Input parameter violated a constraint. Validate your parameter before calling the API operation again.</p>
        capo_rekognition.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.</p>
        capo_rekognition.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request cannot be found.</p>
        capo_rekognition.errors.throttling_exception.ThrottlingException: <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
        capo_rekognition.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_rekognition.types.get_segment_detection_request.GetSegmentDetectionRequest]",
    ) -> OperationResponse[
        "capo_rekognition.types.get_segment_detection_response.GetSegmentDetectionResponse"
    ]:
        import capo_rekognition._operations.rekognition_service.get_segment_detection

        output, http_response = (
            capo_rekognition._operations.rekognition_service.get_segment_detection.get_segment_detection(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetSegmentDetection")
    )
    input_: capo_rekognition.types.get_segment_detection_request.GetSegmentDetectionRequest = {
        "job_id": job_id
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output