ROS API and utils for the Argoverse dataset.
Currently, you can convert the Argoverse-Tracking sequences to ROS bag files. Clone the argoverse_ros ROS package into your workspace src directory.
Run the following command to convert a log sequence to a bag file. Example to convert the sample tracking sequence log.
roslaunch argoverse_ros create_rosbag.launch \
dataset_dir:=/path/to/argoverse-tracking/sample
log_id:=c6911883-1843-3727-8eaa-41dc8cda8993
cameras:="'ring_front_center ring_front_left'" # Note the single quotes
List of cameras available: ring_front_center, ring_front_left, ring_front_right, ring_rear_left, ring_rear_right, ring_side_left, ring_side_right, stereo_front_left, stereo_front_right.
The following topics will be created in the bag file (saved to argoverse_ros/bags/<LOG_ID>.bag).
/argoverse/lidar/pointcloud
/argoverse/<CAMERA_NAME>/image_rect
/argoverse/<CAMERA_NAME>/camera_info
/tf
/tf_static
Run the following command to visualize the data in Rviz.
roslaunch argoverse_ros rviz.launch
The Argoverse API only supports Python3.6 and above. Install Python3.6 and the dependent libraries if you don't already have it.
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt-get install python3.6
Install the Argoverse API as below, optionally you can clone the repository and specify the path to the argoverse directory in $PYTHONPATH.
sudo pip3.6 install --ignore-installed git+https://github.com/argoai/argoverse-api.git
Some of the scripts need the ROS Bag API with Python3, install the following packages.
sudo apt-get install python3-pip python3-yaml
sudo pip3 install rospkg catkin_pkg
Install the requirements for both Python2 and Python3.6.
sudo pip2 install -r requirements.txt
sudo pip3.6 install -r requirements.txt
Setup the argoverse_ros package.
mkdir -p ~/argo_ws/src
git clone https://github.com/heethesh/argoverse_ros ~/argo_ws/src
cd ~/argo_ws
catkin_make
source devel/setup.bash
NOTE: There are issues with running CvBridge with Python3. To keep things simple, all messages are converted to ROS topics in the bag file using Python3.6 (which the Argoverse API requires) except for images which are appended later into the bag file using Python2.7. The create_rosbag.sh script will do it all for you.
- Simplify image conversion using CvBridge (maybe switch to Python3.6 completely).
- Batch log conversion.
- Verfiy quaternion convention from Argoverse in TF.
- Option to resize images.
- Handle CameraInfo messages for stereo images.
- Support ground truth 3D bounding box messages and visualization markers.
- Support tracker annotations.
- Support for HD map annotations.
- Support for motion forecasting logs.
- Publish logs directly from file.
- Integrate SLAM/Visual Odometry packages.
- Argoverse API
- Argoverse Dataset
- The vehicle URDF was borrowed from Autoware