DD-Net Pytorch

A pytorch reimplementation of DD-Net, which is a lightweight network for body/hand action recognition.

How to use the code

A subset of preprocessd JHMDB data has been in this repo, which is GT_test_1.pkl,GT_train_1.pkl.

The code is written and tested in Pytorch 1.3.0.

git clone https://github.com/BlurryLight/DD-Net-Pytorch.git
python train.py --batch-size 512 --epochs 600 --lr 0.001 | tee train.log

The number of parameters is the same with the the original Keres version, which is 1.80M in JHMDB.

The val performance is comparable to the original version. On the provided JHMDB split, the performance is as blow.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
data		data
dataloader		dataloader
models		models
pytorch-summary @ 011b2bd		pytorch-summary @ 011b2bd
.gitignore		.gitignore
.gitmodules		.gitmodules
LICENSE		LICENSE
Performance.png		Performance.png
README.md		README.md
keres_performance.png		keres_performance.png
train.py		train.py
utils.py		utils.py