ros-kinetic-nvidia-docker

Extends the osrf/ros:kinetic-desktop-full, 'craymichael / ros-kinetic-nvidia-docker' here images containing opengl, glvnd and cuda 8.0. This makes opengl work from any docker environment when used with nvidia-docker2. Thanks to phromo for the baseline.

Requirements

• Ubuntu 16.04/18.04/20.04
• An NVIDIA Gpu and NVIDIA drivers (XOrg not supported)

Installation and Setup

1. Install docker: here the guide

2. Install nvidia-docker:

   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)

   curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -

   curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

   apt update

   apt install nvidia-docker2

   more information here.

3. After cloning this repo, run sudo ./build_the_docker.sh to build it and

4. sudo ./run_the_docker.sh <dockerImageID> to start the container

Execution

Inside the container, to finish the setup and executing the node:

• source ROS installation: source /opt/ros/kinetic/setup.bash

• build the ROS workspace: catkin build -DCATKIN_ENABLE_TESTING=0

• source the ROS packages: source devel/setup.bash

• run the node: QT_X11_NO_MITSHM=1 rosrun eurobench_state_collector eurobench_state_collector_node.py