Logan Numerow, Yue Li, Stelian Coros, Bernhard Thomaszewski
ACM Transactions on Graphics (Proc. SIGGRAPH 2024)
For now we only provide support on Linux machines. The given instructions are for building with VSCode.
$ curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list |
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' |
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
$ sudo sed -i -e '/experimental/ s/^#//g' /etc/apt/sources.list.d/nvidia-container-toolkit.list
$ sudo apt-get update
&& sudo apt-get install -y nvidia-container-toolkit
$ sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
$ sudo nvidia-ctk runtime configure --runtime=docker
Enable Docker to connect to host display to spawn GUI windows. Run from command line on host machine, repeat in case of display error.
$ xhost +
Open the repository folder in VSCode. Install Docker and Dev Containers extensions in VSCode.
In VSCode, type control + p, then type >Reopen in Container (with the '>'). This option will show up in the >< tab in the bottom left corner of vscode.
The docker build will take a while (30 minutes).
That's it, you're ready to run the app!
See the LICENSE file for license rights and limitations.
Please reach out to (Logan Numerow) for any issues or questions!
If this code contributes to your research, please consider citing our work:
@article{numerow2024voronoi,
title={Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems},
author={Numerow, Logan and Li, Yue and Coros, Stelian and Thomaszewski, Bernhard},
journal={ACM Transactions on Graphics (TOG)},
volume={43},
number={4},
year={2024},
publisher={ACM New York, NY, USA}
}