Instructions to use cvtechniques/VideoGameHandGestures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cvtechniques/VideoGameHandGestures with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("cvtechniques/VideoGameHandGestures") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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*These results exceed the predefined project success criteria.*
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**Per-Class Performance**
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<img alt= "Per-Class Performance" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/perclass_perf.png" width="
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*These results exceed the predefined project success criteria.*
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**Per-Class Performance**
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<img alt= "Per-Class Performance" src="https://huggingface.co/cvtechniques/VideoGameHandGestures/resolve/main/perclass_perf.png" width="1000" height="180"></img>
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