Skip to content

hjf1997/LieNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LieNet

Introduction

This is the pytorch version of LieNet, which is from the paper Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool. Deep Learning on Lie Groups for Skeleton-based Action Recognition, In Proc. CVPR 2017.
The original code written by Matlab is provided here. https://github.com/zzhiwu/LieNet

Usage

step 1 download g3d data from http://www.vision.ee.ethz.ch/~zzhiwu/ and save them in g3d folder.

step 2 run prediction.py in any IDE.

BTW

The code is very simplified with some functions not implemented like load trained model, etc. I will implement them in the future! :)

About

pytorch version of "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages