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A lightweight library to parse and visualize asf/amc files fromCMU MoCap dataset using Python 3.

The main purpose of this library is to help understanding how asf/amc file works, as well as how to use them. Therefore, simplicity and readability are stressed, while robustness is ignored.

Demo using PyGame and PyOpenGL:

Demo using Matplotlib:

There's a simple example in the source code as follows:

if__name__=='__main__':asf_path='./data/01/01.asf'amc_path='./data/01/01_01.amc'joints=parse_asf(asf_path)motions=parse_amc(amc_path)frame_idx=180joints['root'].set_motion(motions[frame_idx])joints['root'].draw()

And another example in3Dviewer.py:

asf_path='./data/01/01.asf'amc_path='./data/01/01_01.amc'joints=parse_asf(asf_path)motions=parse_amc(amc_path)v=Viwer(joints,motions)v.run()

The data can be found from CMU MoCap dataset.

The asf/amc parsers are straightforward and easy to understand. The parsers are fully tested on the CMU MoCap dataset, but I don't expect it can work on other datasets without any modification. However, it won't be hard to extend it for more complicating asf/amc files.

Matplotlib is used to draw joints and bones in 3D statically; PyGame and PyOpenGL are used to draw motion sequence.

In 3DViewer, we support:

• WASD to move around.
• QE to zoom in/out.
• ↑ ↓ ← → to rotate.
• LEFT MOUSE BUTTON to drag.
• RETURN to reset camera view.
• SPACE to start/pause.
• , and. to rewind and forward.

NOTE that my implementation of changing view is inefficient (but fluent enough) with some small bugs, but I don't have time to improve it. Pull request is welcomed.

• numpy
• transforms3d
• matplotlib
• pygame
• pyopengl

All the dependencies are available viapip install.

If this repo is used in any publications or projects, please let me know. I would be happy and encouraged =)