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https://github.com/trn84/recipe-wizard
A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop
https://github.com/trn84/recipe-wizard
Last synced: about 1 month ago
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A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop
- Host: GitHub
- URL: https://github.com/trn84/recipe-wizard
- Owner: trn84
- Created: 2020-01-03T12:02:40.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-03-24T22:21:18.000Z (over 1 year ago)
- Last Synced: 2024-08-03T21:02:37.016Z (4 months ago)
- Language: Shell
- Homepage: https://medium.com/@trn84/running-opengl-cuda-applications-with-nvidia-docker2-on-a-remote-headless-gpu-system-6b19c665286d
- Size: 556 KB
- Stars: 39
- Watchers: 3
- Forks: 8
- Open Issues: 4
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-robotic-tooling - recipe-wizard - A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system. (Development Environment / Code and Run)
- awesome-robotic-tooling - recipe-wizard - A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system (Development Environment / Code and Run)
README
# Docker Image Recipe Wizard
## This repository allows you the creation of a docker container that has the following capabilities:
* Running OpenGL accel. applications with nvidia-docker2 on a headless remote server system using cudaGL and VirtualGL.
* Integration of a Lubuntu desktop environment that is accessed by connecting to a TurboVNC with noVNC.
* Including CUDA.
* Including on-demand: CuDNN, ROS, Gazebo, Python Deep-Learning Development, TensorRT.For a complete guide on how to use this project please follow my medium.com article: https://medium.com/@trn84/running-opengl-cuda-applications-with-nvidia-docker2-on-a-remote-headless-gpu-system-6b19c665286d