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
Also note that the model is quantized in per-channel mode with Intel's neural compressor, which gives better accuracy but may lose some speed.
Run the following commands to try the demo:
# detect on camera input
python demo.py
# detect on an image
python demo.py -i /path/to/image
All files in this directory are licensed under Apache 2.0 License.
- MediaPipe Handpose: https://github.com/tensorflow/tfjs-models/tree/master/handpose