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Using Python for Reading and Writing Optical Labels

Creating Single ArUco Markers and AprilTags with OpenCV

Explore how to create single ArUco markers and AprilTags using Python with OpenCV. Learn to select marker dictionaries, define marker IDs, set sizes, and generate marker images. This lesson helps you understand key steps for producing fiduciary markers useful in positioning and augmented reality.

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Generating ArUco markers

In the following example, we’ll learn how to generate ArUco markers.

Python 3.10.4
import cv2 
import numpy as np
print(cv2.__version__)
aruco_dict = cv2.aruco.getPredefinedDictionary(cv2.aruco.DICT_6X6_250) 
marker_id = 42  
marker_size = 200  
marker_image = np.zeros((marker_size, marker_size), dtype=np.uint8) 
marker_image = cv2.aruco.drawMarker(aruco_dict, marker_id, marker_size, marker_image, borderBits=1)
cv2.imwrite("output/aruco_marker_42.png", marker_image)

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