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:
- c359f8aa2c0aebc52fd61b86cfdd98f4ca593bb066062d09ea54b58eafa5680f
- Size of remote file:
- 172 kB
- SHA256:
- 9afc9d1244a4f544e96c758b65b940b2a1f85478028559621d6350b7fa4d4af7
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