Camera Calibration Pattern

import cv2
import numpy as np

def create_calibration_pattern_image(cols, rows, img_height, img_width, aruco_type=cv2.aruco.DICT_6X6_250):
    # chessboard pattern
    if aruco_type == None:
        chessboard = np.zeros((rows, cols), dtype=np.uint8) # black image
        chessboard[1::2, ::2] = 255 # white for odd column & even row
        chessboard[::2, 1::2] = 255 # white for even row & odd column
        img = cv2.resize(chessboard, (img_height, img_width), interpolation=cv2.INTER_NEAREST)
        img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    # charuco pattern
    else:
        dict = cv2.aruco.getPredefinedDictionary(aruco_type)
        board = cv2.aruco.CharucoBoard((cols, rows), 1.0, 0.5, dict)
        img = board.generateImage((img_height, img_width))
        img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    return img

img0 = create_calibration_pattern_image(6, 9, 600, 900, None)
cv2.imwrite('img0.jpg', img0)

img1 = create_calibration_pattern_image(6, 9, 600, 900, cv2.aruco.DICT_6X6_250)
cv2.imwrite('img1.jpg', img1)