Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs(installation): fix run.sh documentation #530

Merged
merged 2 commits into from
Mar 7, 2024
Merged

docs(installation): fix run.sh documentation #530

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
b1bb0bd
fix run.sh documentation
oguzkaganozt Mar 7, 2024
3388596
remove warning
oguzkaganozt Mar 7, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 7 additions & 11 deletions docs/installation/autoware/docker-installation.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,16 +41,16 @@ You can use `run.sh` to run the Autoware runtime container with the map data:
./docker/run.sh --map-path path_to_map_data
```

!!! info

You can use `--no-nvidia` to run without NVIDIA GPU support, and `--headless` to run without display that means no RViz visualization.

For more launch options you can edit the launch command with `--launch-cmd` option:
For more launch options, you can append a custom launch command instead of using the default launch command `ros2 launch autoware_launch autoware.launch.xml`:

```bash
./docker/run.sh --map-path path_to_map_data --launch-cmd "ros2 launch autoware_launch autoware.launch.xml map_path:=/autoware_map vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit"
./docker/run.sh --map-path path_to_map_data ros2 launch autoware_launch autoware.launch.xml map_path:=/autoware_map vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
```

!!! info

You can use `--no-nvidia` to run without NVIDIA GPU support, and `--headless` to run without display that means no RViz visualization.

#### Run the Autoware tutorials

Inside the container, you can run the Autoware tutorials by following these links:
Expand Down Expand Up @@ -113,11 +113,7 @@ Using the [Visual Studio Code](https://code.visualstudio.com/) with the [Remote
Get the Visual Studio Code's [Remote - Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) extension.
And reopen the workspace in the container by selecting `Remote-Containers: Reopen in Container` from the Command Palette (`F1`).

By default, devcontainer assumes NVIDIA GPU support, you can change this by deleting these lines within `.devcontainer/devcontainer.json`:

!!! warning

Under Construction
You can choose Autoware or Autoware-cuda image to develop with or without CUDA support.

## Building Docker images from scratch

Expand Down
Loading