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yysijie committed Jun 6, 2018
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[[Arxiv Preprint]](https://arxiv.org/abs/1801.07455)

### Demo
### Visulization of ST-GCN in Action
This demo is for skeleton based action recognition.
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<img src="resource/info/demo_video.gif", width="1200">
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### Visulization of ST-GCN in Action
ST-GCN is able to exploit local pattern and correlation from human skeletons.
Above demo and below figures show the neural response magnitude of each node in the last layer of our ST-GCN.


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ST-GCN is able to exploit local pattern and correlation from human skeletons.
Above figures show the neural response magnitude of each node in the last layer of our ST-GCN.
The first row of above results is from **NTU-RGB+D** dataset, and the second row is from **Kinetics-skeleton**.

The first row of results is from **NTU-RGB+D** dataset, and the second row is from **Kinetics-skeleton**.

## Prerequisites
Our codebase is based on **Python3.6**. There are a few dependencies to run the code. The major libraries we depend are
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