Awesome

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.