ROS2 Wrapper for OpenCV Aruco Marker Tracking
This package depends on a recent version of OpenCV python bindings and transforms3d library:
pip3 install opencv-contrib-python transforms3d
This node locates Aruco AR markers in images and publishes their ids and poses.
Subscriptions:
/camera/image_raw
(sensor_msgs.msg.Image
)/camera/camera_info
(sensor_msgs.msg.CameraInfo
)Published Topics:
/aruco_poses
(geometry_msgs.msg.PoseArray
) - Poses of all detected markers (suitable for rviz visualization)/aruco_markers
(ros2_aruco_interfaces.msg.ArucoMarkers
) - Provides an array of all poses along with the corresponding marker idsParameters:
marker_size
- size of the markers in meters (default .0625)aruco_dictionary_id
- dictionary that was used to generate markers (default DICT_5X5_250
)image_topic
- image topic to subscribe to (default /camera/image_raw
)camera_info_topic
- Camera info topic to subscribe to (default /camera/camera_info
)camera_frame
- Camera optical frame to use (default to the frame id provided by the camera info message.)ros2 launch ros2_aruco aruco_recognition.launch.py
--ros-args -p marker_size:=.05
, for example.
ros2 run ros2_aruco aruco_node
ros2 run ros2_aruco aruco_generate_marker
Pass the -h
flag for usage information:
usage: aruco_generate_marker [-h] [--id ID] [--size SIZE] [--dictionary]
Generate a .png image of a specified maker.
optional arguments:
-h, --help show this help message and exit
--id ID Marker id to generate (default: 1)
--size SIZE Side length in pixels (default: 200)
--dictionary Dictionary to use. Valid options include: DICT_4X4_100,
DICT_4X4_1000, DICT_4X4_250, DICT_4X4_50, DICT_5X5_100,
DICT_5X5_1000, DICT_5X5_250, DICT_5X5_50, DICT_6X6_100,
DICT_6X6_1000, DICT_6X6_250, DICT_6X6_50, DICT_7X7_100,
DICT_7X7_1000, DICT_7X7_250, DICT_7X7_50, DICT_ARUCO_ORIGINAL
(default: DICT_5X5_250)