Instructions to use mosesb/best-comic-panel-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use mosesb/best-comic-panel-detection with ultralytics:
from ultralytics import YOLOvv12 model = YOLOvv12.from_pretrained("mosesb/best-comic-panel-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7760c890d459b0aac0983bb6938884c434e26fac3109b631be99ec810a898967
- Size of remote file:
- 119 MB
- SHA256:
- ee64422e2d2cea6b37dbd211c7e24137c429030c2e11b85bcd8dbeaa2f7e9295
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