From 0af6946c67f43084dbd1841453a0b221938f6d7d Mon Sep 17 00:00:00 2001 From: matlabbe Date: Thu, 11 Jun 2020 11:20:24 -0400 Subject: [PATCH] Update README.md --- docker/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/README.md b/docker/README.md index 89a12bc1..bbcddc8a 100644 --- a/docker/README.md +++ b/docker/README.md @@ -27,7 +27,7 @@ roslaunch rtabmap_ros rtabmap.launch rtabmapviz:=false database_path:=/root/rtabmap.db rtabmap_args:="--delete_db_on_start" ``` - * Launch `rtabmap` from inside the container (**with gui**, if you have a nvidia GPU, follow those [instructions](http://wiki.ros.org/docker/Tutorials/Hardware%20Acceleration#nvidia-docker2) with nvidia-docker2 using one of the images above instead of the ros image example, or for older computers and other GPUs try those [instructions](https://github.com/introlab/rtabmap/wiki/Installation#rtab-map-desktop-ubuntu-1604) to build a `rtabmap_ros3d` image with your GPU driver), saving the database on host `~/.ros/rtabmap.db`: + * Launch `rtabmap` from inside the container (**with gui**, if you have a nvidia GPU, follow those [instructions](http://wiki.ros.org/docker/Tutorials/Hardware%20Acceleration#nvidia-docker2) with nvidia-docker2 using one of the images above instead of the ros image example, or for other GPUs try the intel/AMD [instructions](http://wiki.ros.org/action/fullsearch/docker/Tutorials/Hardware%20Acceleration) to build a `rtabmap_ros3d` image with your GPU driver), saving the database on host `~/.ros/rtabmap.db`: * With [nvidia-docker2 approach](http://wiki.ros.org/docker/Tutorials/Hardware%20Acceleration#nvidia-docker2), we would have this Dockerfile: ```docker