Instructions to use melihuzunoglu/human-fall-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use melihuzunoglu/human-fall-detection with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("melihuzunoglu/human-fall-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8beea8e56c70548e64a7ce2a59fd64b001cbbfdec3997f41b9d2b87f3bd4330c
- Size of remote file:
- 5.47 MB
- SHA256:
- 3f56ad30358d5c63bf8dbc0c1299cf68818c3d291dfb10c94107b94110aadd4c
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