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matlabbe
2023-06-17 18:17:20 -07:00
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@@ -5,49 +5,45 @@
foxy, foxy-latest
humble, humble-latest
```
* The `-latest` images are automatically built from latest version of `rtabmap` and `rtabmap_ros` from 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.
* The `-latest` images are automatically built from latest version of `rtabmap` and `rtabmap_ros` from source (including dependencies that are not available with ROS binaries). The other images have the same version than the binaries released on ROS.
* Launch `rtabmap` from inside the container (**no gui**), saving the database on host `~/.ros/rtabmap.db`:
```bash
$ docker run -it --rm \
docker run -it --rm \
--user $UID \
-e ROS_HOME=/tmp/.ros \
--network=host \
-v ~/.ros:/root \
--ipc=host \
-v ~/.ros:/tmp/.ros \
introlab3it/rtabmap_ros:humble-latest \
ros2 launch rtabmap_ros rtabmap.launch.py rtabmapviz:=false database_path:=/root/rtabmap.db rtabmap_args:="--delete_db_on_start"
ros2 launch rtabmap_launch rtabmap.launch.py rtabmap_viz:=false database_path:=/tmp/.ros/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 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`:
* Launch `rtabmap_viz` from inside the container, using [nvidia-docker2 approach](http://wiki.ros.org/docker/Tutorials/Hardware%20Acceleration#nvidia-docker2):
* With [nvidia-docker2 approach](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html), we would have this Dockerfile:
```docker
FROM introlab3it/rtabmap_ros:humble-latest
```bash
# 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 $XAUTH nmerge -
docker run -it --rm \
--privileged \
-e DISPLAY=$DISPLAY \
-e QT_X11_NO_MITSHM=1 \
-e NVIDIA_VISIBLE_DEVICES=all \
-e NVIDIA_DRIVER_CAPABILITIES=all \
-e XAUTHORITY=$XAUTH \
--user $UID \
-e ROS_HOME=/tmp/.ros \
-v ~/.ros:/tmp/.ros \
--runtime=nvidia \
--network=host \
--ipc=host \
-v $XAUTH:$XAUTH \
-v /tmp/.X11-unix:/tmp/.X11-unix \
introlab3it/rtabmap_ros:humble-latest \
/bin/bash -c "ros2 run rtabmap_viz rtabmap_viz --ros-args -r __ns:=/rtabmap"
```
# nvidia-container-runtime
ENV NVIDIA_VISIBLE_DEVICES \
${NVIDIA_VISIBLE_DEVICES:-all}
ENV NVIDIA_DRIVER_CAPABILITIES \
${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}graphics
```
Building the image and run it:
```bash
$ 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 \
--network=host \
-v ~/.ros:/root \
rtabmap_ros3d \
ros2 launch rtabmap_ros rtabmap.launch.py database_path:=/root/rtabmap.db rtabmap_args:="--delete_db_on_start"
```