Build the image

Go into this repository and build the UWSim-NET docker image:

docker build -t uwsimnet-image .

In order to allow GUI visualization configure permissions for the X server in the host and run the image as explained in this guide.

How to run the image if using Nvidia graphics on Ubuntu.

In order to avoid a LibGL error when launching a GUI (jessfraz/dockerfiles#253), you have to enable graphics acceleration for Nvidia.

For this, you need to install the nvidia-docker2 package. The first step is to install the repository for your distribution by following the instructions here. E.g. in the case of a debian based distribution:

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

Now you can install the nvidia-docker2 package and reload the Docker daemon configuration:

sudo apt-get install nvidia-docker2
sudo pkill -SIGHUP dockerd

Finally use the run_image.bash script to create and start the first docker container.

chmod u+x run_image.bash
./run_image.bash uwsimnet-image

This steps have been based on the documentation available in ros-docker-with-hardware-acceleration