JMU-ROBOTICS-VIVA / ros2_aruco

ROS2 Wrapper for OpenCV Aruco Marker Tracking
MIT License
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ros2_aruco

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

ROS2 API for the ros2_aruco Node

This node locates Aruco AR markers in images and publishes their ids and poses.

Subscriptions:

Published Topics:

Parameters:

Running Marker Detection

  1. Using the launch file - parameters will be loaded from aruco_parameters.yaml.
    ros2 launch ros2_aruco aruco_recognition.launch.py
  2. As a single ROS 2 node - you can specify parameter values at startup by adding --ros-args -p marker_size:=.05, for example.
    ros2 run ros2_aruco aruco_node

Generating Marker Images

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)