Instructions to use honi05/ChessBoardDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use honi05/ChessBoardDetector with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("honi05/ChessBoardDetector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 238d3a591f0090f7ffb3610cefdabcceffd6312c3ca2fb614e6879c149c85e6c
- Size of remote file:
- 5.46 MB
- SHA256:
- a13723215f2733203633f7ef5278f191666b3838a0479f1f4506d34707b14895
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.