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Refactor best YouTube URL and add yt_dlp option (#2901)

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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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tekert 2023-05-30 14:13:03 -03:00 committed by GitHub
parent 0d47d11393
commit 50c9731808
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1 changed files with 30 additions and 3 deletions
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33
ultralytics/yolo/data/dataloaders/stream_loaders.py
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@ -45,9 +45,7 @@ class LoadStreams:
st = f'{i + 1}/{n}: {s}... '
if urlparse(s).hostname in ('www.youtube.com', 'youtube.com', 'youtu.be'): # if source is YouTube video
# YouTube format i.e. 'https://www.youtube.com/watch?v=Zgi9g1ksQHc' or 'https://youtu.be/Zgi9g1ksQHc'
check_requirements(('pafy', 'youtube_dl==2020.12.2'))
import pafy # noqa
s = pafy.new(s).getbest(preftype='mp4').url # YouTube URL
s = get_best_youtube_url(s)
s = eval(s) if s.isnumeric() else s # i.e. s = '0' local webcam
if s == 0 and (is_colab() or is_kaggle()):
raise NotImplementedError("'source=0' webcam not supported in Colab and Kaggle notebooks. "
@ -337,6 +335,35 @@ def autocast_list(source):
LOADERS = [LoadStreams, LoadPilAndNumpy, LoadImages, LoadScreenshots]
def get_best_youtube_url(url, use_pafy=True):
"""
Retrieves the URL of the best quality MP4 video stream from a given YouTube video.
This function uses the pafy or yt_dlp library to extract the video info from YouTube. It then finds the highest
quality MP4 format that has video codec but no audio codec, and returns the URL of this video stream.
Args:
url (str): The URL of the YouTube video.
use_pafy (bool): Use the pafy package, default=True, otherwise use yt_dlp package.
Returns:
str: The URL of the best quality MP4 video stream, or None if no suitable stream is found.
"""
if use_pafy:
check_requirements(('pafy', 'youtube_dl==2020.12.2'))
import pafy # noqa
return pafy.new(url).getbest(preftype='mp4').url
else:
check_requirements('yt-dlp')
import yt_dlp
with yt_dlp.YoutubeDL({'quiet': True}) as ydl:
info_dict = ydl.extract_info(url, download=False) # extract info
for f in info_dict.get('formats', None):
if f['vcodec'] != 'none' and f['acodec'] == 'none' and f['ext'] == 'mp4':
return f.get('url', None)
if __name__ == '__main__':
img = cv2.imread(str(ROOT / 'assets/bus.jpg'))
dataset = LoadPilAndNumpy(im0=img)