Object Detection
ultralytics
ONNX
yolo11
onnxruntime
playing-cards
card-detection
casino
live-game-defender
Eval Results (legacy)
Instructions to use sroot/lgd-cards-gen3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/lgd-cards-gen3 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("sroot/lgd-cards-gen3", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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card: mark as the production model, add gen4 row, unified-naming note
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Add PyTorch best.pt + data.yaml + train-args.yaml (consolidate from cards_day_2)
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Drop stale/third-party model dumps; keep standardized model.onnx
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Publish gen3 (current) weights + standardized card
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Upload folder using huggingface_hub
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initial commit
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