models/palm_detection_mediapipe/README.md

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

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.

Demo

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

Example outputs

License

All files in this directory are licensed under Apache 2.0 License.

Reference

• MediaPipe Handpose: https://github.com/tensorflow/tfjs-models/tree/master/handpose