# Copyright (c) OpenMMLab. All rights reserved. # This scripts is copied from # https://github.com/activitynet/ActivityNet/blob/master/Crawler/Kinetics/download.py # noqa: E501 # The code is licensed under the MIT licence. import argparse import os import ssl import subprocess import mmengine from joblib import Parallel, delayed ssl._create_default_https_context = ssl._create_unverified_context def download(video_identifier, output_filename, num_attempts=5, url_base='https://www.youtube.com/watch?v='): """Download a video from youtube if exists and is not blocked. arguments: --------- video_identifier: str Unique YouTube video identifier (11 characters) output_filename: str File path where the video will be stored. """ # Defensive argument checking. assert isinstance(video_identifier, str), 'video_identifier must be string' assert isinstance(output_filename, str), 'output_filename must be string' assert len(video_identifier) == 11, 'video_identifier must have length 11' status = False if not os.path.exists(output_filename): command = [ 'youtube-dl', '--quiet', '--no-warnings', '--no-check-certificate', '-f', 'mp4', '-o', '"%s"' % output_filename, '"%s"' % (url_base + video_identifier) ] command = ' '.join(command) print(command) attempts = 0 while True: try: subprocess.check_output( command, shell=True, stderr=subprocess.STDOUT) except subprocess.CalledProcessError: attempts += 1 if attempts == num_attempts: return status, 'Fail' else: break # Check if the video was successfully saved. status = os.path.exists(output_filename) return status, 'Downloaded' def download_wrapper(youtube_id, output_dir): """Wrapper for parallel processing purposes.""" # we do this to align with names in annotations output_filename = os.path.join(output_dir, youtube_id + '.mp4') if os.path.exists(output_filename): status = tuple([youtube_id, True, 'Exists']) return status downloaded, log = download(youtube_id, output_filename) status = tuple([youtube_id, downloaded, log]) return status def main(input, output_dir, num_jobs=24): # Reading and parsing ActivityNet. youtube_ids = mmengine.load(input).keys() # Creates folders where videos will be saved later. if not os.path.exists(output_dir): os.makedirs(output_dir) # Download all clips. if num_jobs == 1: status_list = [] for index in youtube_ids: status_list.append(download_wrapper(index, output_dir)) else: status_list = Parallel(n_jobs=num_jobs)( delayed(download_wrapper)(index, output_dir) for index in youtube_ids) # Save download report. mmengine.dump(status_list, 'download_report.json') if __name__ == '__main__': description = 'Helper script for downloading GYM videos.' p = argparse.ArgumentParser(description=description) p.add_argument('input', type=str, help='The gym annotation file') p.add_argument( 'output_dir', type=str, help='Output directory to save videos.') p.add_argument('-n', '--num-jobs', type=int, default=24) main(**vars(p.parse_args()))