Instructions to use Davidsv/CourtSide-Computer-Vision-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Davidsv/CourtSide-Computer-Vision-v0.1 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("Davidsv/CourtSide-Computer-Vision-v0.1", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download ball_detection_example.png from Davidsv/CourtSide-Computer-Vision-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 1 MB
-
https://huggingface.co/Davidsv/CourtSide-Computer-Vision-v0.1/resolve/main/ball_detection_example.png
- Command line
-
hf download hf://Davidsv/CourtSide-Computer-Vision-v0.1/ball_detection_example.png
-
curl -L -o ball_detection_example.png https://huggingface.co/Davidsv/CourtSide-Computer-Vision-v0.1/resolve/main/ball_detection_example.png
1 MB

- Xet hash:
- b22172aad17f58d36ab664ec14e892f01901542fcf4a874ab4f4896ca9b3f365
- Size of remote file:
- 1 MB
- SHA256:
- f518cfd21af5155656544f70ba51ba29082a39e88f54f6fa2ce47e2624d715f3
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