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Using Python for Reading and Writing Optical Labels

Creating a Page of ArUco Markers With OpenCV

Explore how to create individual ArUco markers using OpenCV and Python, then learn to generate a full A4 page of markers. Understand setting marker size, IDs, and positioning markers efficiently for practical applications.

We'll cover the following...

Creating a single marker

Let’s put the relevant functions in a function so we can easily create markers in an iterative manner.

In the example below, we’ll create such a function with the name create_marker().

Python 3.10.4
import cv2 
import numpy as np
def create_marker(aruco_dict, marker_id, marker_size): 
    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) 
    return marker_image
aruco_dict = cv2.aruco.Dictionary_get(cv2.aruco.DICT_6X6_250) 
marker_id = 0
marker_size = 200
cv2.imwrite("output/onemarker.png", create_marker(aruco_dict, marker_id, marker_size))

Line 5: An empty marker_image will be created as a numpy matrix of zeros. The size will be marker_size in both dimensions. The type is set to uint8.

Line 6: Then we draw the marker using ...