AssertionError: Failed to open youtube link #3016
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👋 Hello @PhilPark-geosr, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython 3.8 or later with all requirements.txt dependencies installed, including $ pip install -r requirements.txtEnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit. |
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Have you tried something like youtube-dl to download the video then process it with detect? the detect.py script does not integrate with things like youtube to download content. Try something like this |
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@PhilPark-geosr update the yolov5 repo with |
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@PhilPark-geosr YouTube inference is working correctly. If I run your command in a local PyCharm terminal: (venv) (base) glennjocher@Glenns-iMac yolov5 % python detect.py --source 'http://youtu.be/gmklhuYYL1k'
Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device='', exist_ok=False, hide_conf=False, hide_labels=False, img_size=640, iou_thres=0.45, line_thickness=3, name='exp', nosave=False, project='runs/detect', save_conf=False, save_crop=False, save_txt=False, source='http://youtu.be/gmklhuYYL1k', update=False, view_img=False, weights='yolov5s.pt')
YOLOv5 🚀 v5.0-60-ge2a80c6 torch 1.8.1 CPU
Fusing layers...
Model Summary: 224 layers, 7266973 parameters, 0 gradients
1/1: http://youtu.be/gmklhuYYL1k... success (1280x720 at 29.97 FPS).
0: 384x640 5 persons, 3 chairs, 2 potted plants, 1 tv, 1 laptop, Done. (0.224s)
0: 384x640 6 persons, 3 chairs, 2 potted plants, 1 tv, 3 laptops, Done. (0.204s)
0: 384x640 6 persons, 5 chairs, 3 potted plants, 2 laptops, Done. (0.210s)
0: 384x640 3 persons, 3 chairs, 3 potted plants, 1 laptop, Done. (0.202s)
0: 384x640 3 persons, 4 chairs, 2 potted plants, 2 laptops, Done. (0.237s)
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@PhilPark-geosr good news 😃! A related issue to your original issue may now been fixed ✅ in #3018 allowing YouTube inference in Google Colab instances. To receive this update you can:
Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!
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Before submitting a bug report, please be aware that your issue must be reproducible with all of the following, otherwise it is non-actionable, and we can not help you:
git fetch && git status -unoto check andgit pullto update repoIf this is a custom dataset/training question you must include your
train*.jpg,test*.jpgandresults.pngfigures, or we can not help you. You can generate these withutils.plot_results().🐛 Bug
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python detect.py --source 'http://youtu.be/gmklhuYYL1k'
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