# mesh

**Repository Path**: kunjiang/mesh

## Basic Information

- **Project Name**: mesh
- **Description**: MPI-IS Mesh Processing Library
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-05-21
- **Last Updated**: 2020-12-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Perceiving Systems Mesh Package
Mesh processing libraries that support several of our projects such as
* [CoMA: Convolutional Mesh Encoders for Generating 3D Faces](http://coma.is.tue.mpg.de/)
* [FLAME: Learning a model of facial shape and expression from 4D scans](http://flame.is.tue.mpg.de/)
* [MANO: Modeling and Capturing Hands and Bodies Together](http://mano.is.tue.mpg.de/)
* [SMPL: A Skinned Multi-Person Linear Model](http://smpl.is.tue.mpg.de/)
* [VOCA: Voice Operated Character Animation](https://github.com/TimoBolkart/voca)
* [RingNet: 3D Face Shape and Expression Reconstruction from an Image](https://github.com/soubhiksanyal/RingNet)

## Prerequisites
Install `boost`.

On Linux:
```bash
apt-get install libboost-all-dev
```
On Mac OS:
```bash
brew install boost
```



## Installation
It is recommended to install the mesh package in a [virtual environment](https://virtualenv.pypa.io/en/stable/). This package has been tested with Python2.7 on Linux and OSX.
```bash
make
make install
```

## License
Please refer for LICENSE.txt for using this software. The software is compiled using CGAL sources following the license in CGAL_LICENSE.pdf