Skip to content
ducnxPublic
forked from edenton/drnet-py

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

 
 

Latest commit

 

History

39 Commits

Folders and files

Repository files navigation

drnet-py

Training on KTH

First download the KTH action recognition dataset by running:

sh datasets/download_kth.sh /my/kth/data/path/

where /my/kth/data/path/ is the directory the data will be downloaded into. Next, convert the downloaded .avi files into .png's for the data loader. To do this you'll want ffmpeg installed. The following script will do the conversion, but beware, it's written in lua:

th datasets/convert_kth.lua --dataRoot /my/kth/data/path/ --imageSize 128

The --imageSize flag specifiec the image resolution. Experimental results in the paper used 128x128, but you can also train a model on 64x64 and it will train much faster.

fyi

I will be most responsive regarding questions about the code if you email me at denton@cs.nyu.edu.

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages