File Path not recognised

[starzar]

Using Python 3.7.4 ,I am providing the filepath of a videofile to the Googlecloud Python VideoIntelligence api for further processing.But it still complains that the path is not specified.Pylinter gives an "Anomalous backslash in string error".I have tried using r' \d "filepath"' but the error still persists.Please let me know , how to resolve this issue.

ERROR

Error:
PS D:\Script\GCloud> d:\Script\GCloud\VideoLabels.py
usage: VideoLabels.py [-h] path
VideoLabels.py: error: the following arguments are required: path

PYLINT
Anomalous backslash in string: '\\S'. String constant might be missing an r prefix.

CODE

import argparse

from google.cloud import videointelligence

path = "D:\Script\GCloud\sampleVidR1.mp4" #<--path not recognised
    
def analyze_labels(path):
    """ Detects labels given a GCS path. """
    video_client = videointelligence.VideoIntelligenceServiceClient()
    features = [videointelligence.enums.Feature.LABEL_DETECTION]
    operation = video_client.annotate_video(path, features=features)
    print('\nProcessing video for label annotations:')

    result = operation.result(timeout=90)
    print('\nFinished processing.')

    segment_labels = result.annotation_results[0].segment_label_annotations
    for i, segment_label in enumerate(segment_labels):
        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')


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument('path', help='GCS file path for label detection.')
    args = parser.parse_args()

    analyze_labels(args.path)