This project provides tools to visualize the skeleton data from the NTU_RGB+D dataset using Python. While the dataset authors provided MATLAB code for visualization, this repository offers an alternative Python-based implementation. Existing online solutions were either non-functional or lacked proper documentation, prompting the development of this repository.
To use this repository, follow these steps:
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Install the required dependencies:
pip install -r requirements.txt
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Download and install FFmpeg to enable video saving. It is easy to install and works reliably across platforms. You can find it here
Refer to getting_started.ipynb for a quick introduction. All functions are documented for ease of use.
It is recommended to save visualizations as videos, as matplotlib.animation may not work reliably in some Jupyter environments (such as VS Code). Videos are stored in the videos/ folder.
Pre-generated examples are available in the videos/ folder. Below is a sample expected output:
If you find this repository useful, please consider starring it. The original repository that inspired this project can be found here.
Special thanks to the Rose Lab for providing the NTU_RGB+D dataset, which enables research on this challenging problem.