a75e025e4b1c570f1c88384e107aaf2c8f8a0fd4,video/cloud-client/quickstart/quickstart.py,,run_quickstart,#,24

Before Change

    for label in results.label_annotations:
        print("Label description: {}".format(label.description))
        print("Locations:")

        for l, location in enumerate(label.locations):
            positions = "Entire video"
            if (location.segment.start_time_offset != -1 or

After Change

    // first result is retrieved because a single video was processed
    results = operation.result().annotation_results[0]

    for i, segment_label in enumerate(results.segment_label_annotations):
        print("Video label description: {}".format(
            segment_label.entity.description))
        for category_entity in segment_label.category_entities:
            print("\tLabel category description: {}".format(
                category_entity.description))

        for i, segment in enumerate(segment_label.segments):
            start_time = (segment.segment.start_time_offset.seconds +
                          segment.segment.start_time_offset.nanos / 1e9)
            end_time = (segment.segment.end_time_offset.seconds +
                        segment.segment.end_time_offset.nanos / 1e9)
            positions = "{}s to {}s".format(start_time, end_time)
            confidence = segment.confidence
            print("\tSegment {}: {}".format(i, positions))
            print("\tConfidence: {}".format(confidence))
        print("\n")
    // [END videointelligence_quickstart]


if __name__ == "__main__":
    run_quickstart()

Instances