Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/calciferzh/amcparser
Parse and visualize asf/amc files from CMU MoCap dataset.
https://github.com/calciferzh/amcparser
amc animation asf body mocap motion pose skeleton
Last synced: about 1 month ago
JSON representation
Parse and visualize asf/amc files from CMU MoCap dataset.
- Host: GitHub
- URL: https://github.com/calciferzh/amcparser
- Owner: CalciferZh
- License: mit
- Created: 2018-05-10T00:56:41.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-02-21T20:53:55.000Z (over 1 year ago)
- Last Synced: 2024-09-23T12:03:54.766Z (about 2 months ago)
- Topics: amc, animation, asf, body, mocap, motion, pose, skeleton
- Language: Python
- Homepage:
- Size: 485 KB
- Stars: 135
- Watchers: 5
- Forks: 27
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AMCParser
A lightweight library to parse and visualize asf/amc files from [CMU MoCap](http://mocap.cs.cmu.edu/) 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
Demo using PyGame and PyOpenGL:
Demo using Matplotlib:
## Usage
There's a simple example in the source code as follows:
```python
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 = 180
joints['root'].set_motion(motions[frame_idx])
joints['root'].draw()
```
And another example in `3Dviewer.py`:
```python
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.
## Parser
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.
## Visualization
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.
## Dependencies
* numpy
* transforms3d
* matplotlib
* pygame
* pyopengl
All the dependencies are available via `pip install`.
## One More Thing
If this repo is used in any publications or projects, please let me know. I would be happy and encouraged =)