convert nuscenes data to rosbag for visualization
conda create -n nuscenes2bag python=3.8 -y
conda activate nuscenes2bag
cd nuscenes2bag
pip install -r requirements.txtnuscenes2bag --scene test --dataroot xxx/nuscenes --version v1.0-trainval
- scene : scene name (ex. scene-0001)
- dataroot: path to the nuScenes dataset
- version: dataset version (v1.0-mini, v1.0-trainval, v1.0-test)
- lidar_channel : lidar channel name (ex. LIDAR_TOP,default: lidar-fusion)
This project is no longer maintained, it has been superseded by https://github.com/foxglove/nuscenes2mcap.
nuScenes is a large-scale dataset of autonomous driving in urban environments, provided free for non-commercial use. This project provides helper scripts to download the nuScenes dataset and convert scenes into ROS bag files for easy viewing in tools such as Foxglove Studio.
# This builds the `nuscenes2bag` Docker image and downloads various nuScenes datasets into `data/`
$ ./setup.sh
# Start a Jupyter notebook server on port 8888
$ ./start.sh
# Look in the console for the auth token and open a browser to http://localhost:8888/?token=<token>
nuscenes2bag is licensed under MIT License.
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