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# Palm detector from MediaPipe Handpose
This model detects palm bounding boxes and palm landmarks, and is converted from Tensorflow-JS to ONNX using following tools:
- tfjs to tf_saved_model: https://github.com/patlevin/tfjs-to-tf/
- tf_saved_model to ONNX: https://github.com/onnx/tensorflow-onnx
- simplified by [onnx-simplifier](https://github.com/daquexian/onnx-simplifier)
Also note that the model is quantized in per-channel mode with [Intel's neural compressor](https://github.com/intel/neural-compressor), which gives better accuracy but may lose some speed.
## Demo
Run the following commands to try the demo:
```bash
# detect on camera input
python demo.py
# detect on an image
python demo.py -i /path/to/image
```
### Example outputs
## License
All files in this directory are licensed under [Apache 2.0 License](./LICENSE).
## Reference
- MediaPipe Handpose: https://github.com/tensorflow/tfjs-models/tree/master/handpose
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