PyGPToolbox

PyGPToolbox - A python geometry processing toolbox

This is a toolbox of python functions for geometry processing. This toolbox contains only straight python scripts (.py) and only depends on standard python libraries. As the scripts were written for research purposes only, they have not been tested, documented, optimized to the degree that would be advisable in any important application. All use of these programs is entirely at the user's own risk.

Installation

Simply adding the "PyGPToolbox/src" directory to your include path and importing desired functions. For example,

import sys
sys.path.append('/path/to/PyGPToolbox/src')
from [functionName] import *

Main dependencies:

• numpy
  
• scipy
  
• libigl (python)
  
• mayavi
  
• matplotlib
  
  

Optional dependencies:

Few scripts depend on other fantastic libraries. If you do not have these libraries, you can still run most of the scripts.

• PyAMG
  
  

Demos:

To run the demo code, simply go to the "PyGPToolbox/src" folder and run the demo. For example:
cd /path/to/PyGPToolbox/src
python [demo_functionName]

Here we show few demos using the functions in this PyGPToolbox

• Wave Kernel Signatures [Aubry 11], Heat Kernel Signatures [Sun 09] (demo_kernelSignatures.py)
  

• Implicit Mean Curvature Flow [Desbrun 99], Conformal Mean Curvature Flow [Kazhdan 12] (demo_implicitMeanCurvatureFlow.py)
  

• Stein Variational Gradient Descent [Liu 16] (demo_SteinVariationalGradientDescent.py)
  

Contact us:

This toolbox is still in development by Hsueh-Ti Derek Liu and has been benefited from members of the Dynamic Graphics Project at University of Toronto. If you have any question or are intersted in contributing, please contact Hsueh-Ti Derek Liu (htliu1992@gmail.com).