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Refactor best YouTube URL and add yt_dlp
option (#2901)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -45,9 +45,7 @@ class LoadStreams:
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st = f'{i + 1}/{n}: {s}... '
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if urlparse(s).hostname in ('www.youtube.com', 'youtube.com', 'youtu.be'): # if source is YouTube video
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# YouTube format i.e. 'https://www.youtube.com/watch?v=Zgi9g1ksQHc' or 'https://youtu.be/Zgi9g1ksQHc'
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check_requirements(('pafy', 'youtube_dl==2020.12.2'))
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import pafy # noqa
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s = pafy.new(s).getbest(preftype='mp4').url # YouTube URL
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s = get_best_youtube_url(s)
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s = eval(s) if s.isnumeric() else s # i.e. s = '0' local webcam
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if s == 0 and (is_colab() or is_kaggle()):
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raise NotImplementedError("'source=0' webcam not supported in Colab and Kaggle notebooks. "
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@ -337,6 +335,35 @@ def autocast_list(source):
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LOADERS = [LoadStreams, LoadPilAndNumpy, LoadImages, LoadScreenshots]
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def get_best_youtube_url(url, use_pafy=True):
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"""
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Retrieves the URL of the best quality MP4 video stream from a given YouTube video.
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This function uses the pafy or yt_dlp library to extract the video info from YouTube. It then finds the highest
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quality MP4 format that has video codec but no audio codec, and returns the URL of this video stream.
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Args:
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url (str): The URL of the YouTube video.
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use_pafy (bool): Use the pafy package, default=True, otherwise use yt_dlp package.
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Returns:
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str: The URL of the best quality MP4 video stream, or None if no suitable stream is found.
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"""
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if use_pafy:
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check_requirements(('pafy', 'youtube_dl==2020.12.2'))
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import pafy # noqa
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return pafy.new(url).getbest(preftype='mp4').url
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else:
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check_requirements('yt-dlp')
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import yt_dlp
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with yt_dlp.YoutubeDL({'quiet': True}) as ydl:
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info_dict = ydl.extract_info(url, download=False) # extract info
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for f in info_dict.get('formats', None):
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if f['vcodec'] != 'none' and f['acodec'] == 'none' and f['ext'] == 'mp4':
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return f.get('url', None)
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if __name__ == '__main__':
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img = cv2.imread(str(ROOT / 'assets/bus.jpg'))
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dataset = LoadPilAndNumpy(im0=img)
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