Docker
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Available images on introlab3it/rtabmap_ros:
indigo kinetic melodic, melodic-latest noetic, noetic-latest- The
-latestimages are automatically built from latest version ofrtabmapandrtabmap_rosfrom source (including GTSAM and libpointmatcher dependencies that are not available with ROS binaries). The other images have the same version than the binaries released on ROS.
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The following example show how to launch a camera on host computer and run our pre-built rtabmap container. All examples from RGB-D tutorial and stereo tutorial should work using rtabmap from the container instead. Launch camera on host computer (set ROS_IP as the IP used for docker):
$ export ROS_IP=172.17.0.1 && roslaunch openni2_launch openni2.launch depth_registration:=true # In another terminal, launch rtabmapviz or RVIZ. We do visualization # on host computer to avoid GPU problems with the container (see "with gui" below to launch rtabmapviz from the container): $ export ROS_NAMESPACE=rtabmap && rosrun rtabmap_ros rtabmapviz _frame_id:=camera_link -
Launch
rtabmapfrom inside the container (no gui), saving the database on host~/.ros/rtabmap.db:$ docker run -it --rm \ --env ROS_MASTER_URI=http://172.17.0.1:11311 --env ROS_IP=172.17.0.2 \ -v ~/.ros:/root \ introlab3it/rtabmap_ros:kinetic-latest \ roslaunch rtabmap_ros rtabmap.launch rtabmapviz:=false database_path:=/root/rtabmap.db rtabmap_args:="--delete_db_on_start" -
Launch
rtabmapfrom inside the container (with gui, if you have a nvidia GPU, follow those instructions with nvidia-docker2 using one of the images above instead of the ros image example, or for other GPUs try the intel/AMD instructions to build artabmap_ros3dimage with your GPU driver), saving the database on host~/.ros/rtabmap.db:- With nvidia-docker2 approach, we would have this Dockerfile:
Building the image and run it:
FROM introlab3it/rtabmap_ros:noetic # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES \ ${NVIDIA_VISIBLE_DEVICES:-all} ENV NVIDIA_DRIVER_CAPABILITIES \ ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}graphics$ docker build -t rtabmap_ros3d . # those following 3 lines would need to be done only one time $ XAUTH=/tmp/.docker.xauth $ touch $XAUTH $ xauth nlist $DISPLAY | sed -e 's/^..../ffff/' | xauth -f $XAUTH nmerge - $ docker run -it --rm \ --privileged \ --env="DISPLAY=$DISPLAY" \ --env="QT_X11_NO_MITSHM=1" \ --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \ --env="XAUTHORITY=$XAUTH" \ --volume="$XAUTH:$XAUTH" \ --runtime=nvidia \ --env ROS_MASTER_URI=http://172.17.0.1:11311 --env ROS_IP=172.17.0.2 \ -v ~/.ros:/root \ rtabmap_ros3d \ roslaunch rtabmap_ros rtabmap.launch database_path:=/root/rtabmap.db rtabmap_args:="--delete_db_on_start"
- With nvidia-docker2 approach, we would have this Dockerfile: