Revision dccd30dd89ab1a9284e9414cabdcabf10b95f455 authored by Praveen Palanisamy on 29 April 2019, 06:21:15 UTC, committed by Praveen Palanisamy on 03 May 2019, 14:57:05 UTC
Signed-off-by: Praveen Palanisamy <praveen.palanisamy@outlook.com>
1 parent 2732baf
carla_docker.md
<h1>Running CARLA in a Docker </h1>
This tutorial is designed for:
* People that want to run CARLA without needing to install all dependencies.
* Recommended solution to run multiple CARLA servers and perform GPU mapping
This tutorial was tested in Ubuntu 16.04 and using NVIDIA 396.37 drivers.
This method requires a version of NVIDIA drivers >=390.
## Docker Installation
!!! note
Docker requires sudo to run. Follow this guide to add users to the docker sudo
group https://docs.docker.com/install/linux/linux-postinstall/
### Docker CE
For our tests we used the Docker CE version.
To install Docker CE we recommend using [this tutorial](https://docs.docker.com/install/linux/docker-ce/ubuntu/#extra-steps-for-aufs)
### NVIDIA-Docker2
To install nvidia-docker-2 we recommend using the "Quick Start"
section from the [nvidia-dockers github](https://github.com/NVIDIA/nvidia-docker).
## Getting it Running
Pull the CARLA image.
docker pull carlasim/carla:version
For selecting a version, for instance, version 0.8.2 (stable), do:
docker pull carlasim/carla:0.8.2
Running CARLA under docker:
docker run -p 2000-2002:2000-2002 --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=0 carlasim/carla:0.8.4
The "-p 2000-2002:2000-2002" argument is to redirect host ports for the docker container.
Use "NVIDIA_VISIBLE_DEVICES=<gpu_number>" to select the GPU.
You can also pass parameters to the CARLA executable. With this you can chose the town and
select the port that is going to be used:
docker run -p 2000-2002:2000-2002 --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=0 carlasim/carla:0.8.4 /bin/bash CarlaUE4.sh < Your list of parameters >
At the list of parameters do not forget to add "-world-port=<port_number>" so that CARLA runs on server mode
listening to the "<port_number>"
![swh spinner](/static/img/swh-spinner.gif)
Computing file changes ...