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dd-net-pytorch's Introduction

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

Performance

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.

  • The Pytorch version

Performace

  • The Keres version

Keres Performance

dd-net-pytorch's People

Contributors

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Watchers

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Forkers

sparks-zs yhdang khoronusfork gakkispy yaoq sangothesis stephenfang51 fortheusyy lamnguyenvu98 jack841002 feiqial

dd-net-pytorch's Issues

Scaling keypoints

Thanks for the great repo. Id like to try to apply it to a custom dataset.
I noticed that the keypoints in the JHMDB dataset files are in a different scale. How can i normalize my keypoints similarly before passing it in through the dataloader?

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