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:
- 5919f414b67be9db3a59b2387b3bda9029f1c3f103e339c3005c4bcf43474e05
- Size of remote file:
- 1.2 MB
- SHA256:
- bf69315cfa2116f21aa389bdfa184aeee891fdf5f1cb4d618bdb6ec8ecbfdf8b
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