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eric-heiden authored Oct 22, 2021
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* Python 3.6 or higher
* PyTorch 1.4.0 or higher
* Pixar USD lib (for visualization)
* Pixar USD lib (optional, for advanced visualization)

Pre-built USD Python libraries can be downloaded from https://developer.nvidia.com/usd, once they are downloaded you should follow the instructions to add them to your `PYTHONPATH` environment variable. Besides using the provided basic visualizer implemented using pyvista, DiSECt can generate USD files for rendering, e.g. in NVIDIA Omniverse™ or usdview.
Pre-built USD Python libraries can be downloaded from https://developer.nvidia.com/usd, once they are downloaded you should follow the corresponding instructions to add them to your `PYTHONPATH` environment variable. Besides using the provided basic visualizer implemented using pyvista, DiSECt can generate USD files for rendering, e.g., in [NVIDIA Omniverse™](https://developer.nvidia.com/nvidia-omniverse-platform) or [usdview](https://graphics.pixar.com/usd/docs/USD-Toolset.html#USDToolset-usdview).

### Using the built-in backend

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}
```

## Contributions

We do not accept outside code contributions in the form of pull requests, but you are welcome to open issues which we may address in future updates to this work.

## License

Copyright &copy; 2021, NVIDIA Corporation. All rights reserved.
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