Palm detector from MediaPipe Handpose
This model detects palm bounding boxes and palm landmarks, and is converted from TFLite to ONNX using following tools:
- TFLite model to ONNX: https://github.com/onnx/tensorflow-onnx
- simplified by onnx-simplifier
- SSD Anchors are generated from GenMediaPipePalmDectionSSDAnchors
Note:
- Visit https://google.github.io/mediapipe/solutions/models.html#hands for models of larger scale.
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
# get help regarding various parameters
python demo.py --help
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
- MediaPipe hands model and model card: https://google.github.io/mediapipe/solutions/models.html#hands
- Int8 model quantized with rgb evaluation set of FreiHAND: https://lmb.informatik.uni-freiburg.de/resources/datasets/FreihandDataset.en.html