Tracks / keypoint-db /README.md
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# ROS2 Docker Container Environment
A containerized ROS2 development environment with GUI support and NVIDIA GPU acceleration. This Docker setup provides an isolated workspace for ROS2 development while maintaining seamless integration with your host filesystem.
## Features
- **ROS2 Distribution**: Default `humble` (configurable)
- **GUI Support**: X11 forwarding for ROS2 GUI applications
- **GPU Support**: NVIDIA GPU acceleration (when available)
- **Workspace Mounting**: Host `ws/` directory mounted with full permissions
- **User Permissions**: Runs with matching host user/group IDs
- **Sample Movie**: [video](https://youtu.be/2pLzEvx31iA)
## Prerequisites
- **Docker**: Install following [Docker Engine installation guide](https://docs.docker.com/engine/install)
- **Post-install Setup**: Configure Docker for [non-root usage](https://docs.docker.com/engine/install/linux-postinstall)
- **NVIDIA Runtime** (optional): For GPU support, install [nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
## Quick Start
1. **Clone and navigate to repository**
```bash
git clone git@github.com:Standard-Cognition/keypoint-db.git
cd keypoint_db
```
2. **Build the container**
```bash
make
```
3. **Run container**
```bash
./run_container.sh
```
4. **Join from another terminal** (optional)
```bash
./join_container.sh
```
### ROS2 Development Workflow
Inside the container (`/home/user/ws`):
**Install dependencies (first time only):**
```bash
sudo apt-get update
rosdep update
rosdep install -i --from-path src --rosdistro ${ROS_DISTRO} -y
```
**Build workspace:**
```bash
./compile_and_source.sh
```
**Run rviz with a layout:**
```bash
ros2 launch db_loader layout_visualization_launch.py json_file:=/home/user/ws/data/research.sc.s2016.json
```
**Outside of the container download the track csv file**
```
download from: https://drive.google.com/file/d/1sf924lEBK2VLuBmHUzGXUakn6blwY9r2/view?usp=sharing
cp chunk_1971-03-29T03_20_00Z_1971-03-29T03_25_00Z.csv YOUR_FOLDER/Tracks/keypoint-db/ws/data/
```
**Join from another terminal**
```bash
./join_container.sh
```
**Run the keypoint_publisher:**
```bash
ros2 run db_loader keypoint_publisher data/chunk_1971-03-29T03_20_00Z_1971-03-29T03_25_00Z.csv
```
**From a 3rd terminal window, join the container**
```bash
./join_container.sh
```
**Run the keypoint_publisher:**
```bash
ros2 run db_loader keypoint_subscriber
```
## Project Structure
```
dataset_ros2_container/
β”œβ”€β”€ Dockerfile # Container image definition
β”œβ”€β”€ Makefile # Build automation
β”œβ”€β”€ docker-compose.yml # Docker Compose configuration
β”œβ”€β”€ .env # Environment variables
β”œβ”€β”€ utils # Shared shell utilities
β”œβ”€β”€ run_container.sh # Start container script
β”œβ”€β”€ join_container.sh # Join running container script
β”œβ”€β”€ ws/ # ROS2 workspace (mounted)
β”‚ β”œβ”€β”€ src/ # Your ROS2 packages
β”‚ β”œβ”€β”€ build/ # Build artifacts
β”‚ β”œβ”€β”€ install/ # Installation directory
β”‚ └── log/ # Build logs
└── README.md # This file
```
## Configuration
### Environment Variables
- `ROS2_DISTRO`: ROS2 distribution (default: from `.env` file)
- `IMAGE_NAME`: Docker image name (default: `ros2_devel`)
- `APT_MIRROR`: APT mirror location (default: `jp`)
- `DOCKER_BUILD_OPTS`: Additional Docker build options
### Container Features
- **X11 Forwarding**: Automatic GUI application support
- **NVIDIA GPU**: Auto-detected and enabled when available
- **Network**: Host networking for ROS2 communication
- **Workspace Persistence**: `ws/` directory changes persist on host
## Troubleshooting
**GPU not detected:**
- Ensure NVIDIA drivers are installed on host
- Install nvidia-container-toolkit
- Verify with `nvidia-smi` command
**Permission issues:**
- Container runs with host user/group IDs automatically
- Ensure Docker post-install steps completed
**GUI applications not working:**
- Verify X11 forwarding: `echo $DISPLAY`
- Check XAUTH permissions in container
**Build failures:**
- Use `--no-cache` build option
- Update base images with `--pull=true`
## Contributing
1. Fork the repository
2. Create feature branch: `git checkout -b feature-name`
3. Commit changes: `git commit -am 'Add feature'`
4. Push branch: `git push origin feature-name`
5. Submit pull request
## License
See [LICENSE](LICENSE) file for details.