README.md

ColorHandPose3D

Input

(Image from https://lmb.informatik.uni-freiburg.de/projects/hand3d/ColorHandPose3D_data_v3.zip)

Shape : (1, 240, 320, 3)

Output

Shape : (1, 240, 320, 2)

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 hand3d.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 hand3d.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 hand3d.py --video VIDEO_PATH

Reference

ColorHandPose3D network

Framework

TensorFlow

Model Format

ONNX opset=11

Netron

hand_scoremap.onnx.prototxt