opencv 33 generate ArUco marker

 ArUco markers are used for:

• Camera calibration
• Object size estimation
• Measuring the distance between camera and object
• 3D position
• Object orientation
• Robotics and autonomous navigation

ArUco Tags ID 0 - 9

#main.py

import numpy as np

import argparse

import cv2

import sys

ARUCO_DICT = {

"DICT_4X4_50": cv2.aruco.DICT_4X4_50,

"DICT_4X4_100": cv2.aruco.DICT_4X4_100,

"DICT_4X4_250": cv2.aruco.DICT_4X4_250,

"DICT_4X4_1000": cv2.aruco.DICT_4X4_1000,

"DICT_5X5_50": cv2.aruco.DICT_5X5_50,

"DICT_5X5_100": cv2.aruco.DICT_5X5_100,

"DICT_5X5_250": cv2.aruco.DICT_5X5_250,

"DICT_5X5_1000": cv2.aruco.DICT_5X5_1000,

"DICT_6X6_50": cv2.aruco.DICT_6X6_50,

"DICT_6X6_100": cv2.aruco.DICT_6X6_100,

"DICT_6X6_250": cv2.aruco.DICT_6X6_250,

"DICT_6X6_1000": cv2.aruco.DICT_6X6_1000,

"DICT_7X7_50": cv2.aruco.DICT_7X7_50,

"DICT_7X7_100": cv2.aruco.DICT_7X7_100,

"DICT_7X7_250": cv2.aruco.DICT_7X7_250,

"DICT_7X7_1000": cv2.aruco.DICT_7X7_1000,

"DICT_ARUCO_ORIGINAL": cv2.aruco.DICT_ARUCO_ORIGINAL,

"DICT_APRILTAG_16h5": cv2.aruco.DICT_APRILTAG_16h5,

"DICT_APRILTAG_25h9": cv2.aruco.DICT_APRILTAG_25h9,

"DICT_APRILTAG_36h10": cv2.aruco.DICT_APRILTAG_36h10,

"DICT_APRILTAG_36h11": cv2.aruco.DICT_APRILTAG_36h11

}

# construct the argument parser and parse the arguments

ap = argparse.ArgumentParser()

ap.add_argument("-i", "--id", type=int, required=True,

help="ID of ArUCo tag to generate")

ap.add_argument("-t", "--type", type=str,

default="DICT_ARUCO_ORIGINAL",

help="type of ArUCo tag to generate")

args = vars(ap.parse_args())

# verify that the supplied ArUCo tag exists and is supported by OpenCV

if ARUCO_DICT.get(args["type"], None) is None:

print("[INFO] ArUCo tag of '{}' is not supported".format(

args["type"]))

sys.exit(0)

# load the ArUCo dictionary

arucoDict = cv2.aruco.Dictionary_get(ARUCO_DICT[args["type"]])

# allocate memory for the output ArUCo tag and then draw the ArUCo

# tag on the output image

print("[INFO] generating ArUCo tag type '{}' with ID '{}'".format(

args["type"], args["id"]))

tag = np.zeros((300, 300, 1), dtype="uint8")

#drawMarker( dictionary, id, size, image, border bits)

cv2.aruco.drawMarker(arucoDict, args["id"], 300, tag, 1)

# write the generated ArUCo tag to disk and then display it to our

# screen

cv2.imwrite("assets/aurco.png", tag)

name = "ArUCo ID " + str(args["id"])

cv2.imshow(name, tag)

cv2.waitKey(0)

--------------------------

#logs

(venv) C:\Users\zchen\PycharmProjects\opencv>python aruco.py --id 9 --type DICT_5X5_100

[INFO] generating ArUCo tag type 'DICT_5X5_100' with ID '9'

reference:

https://www.pyimagesearch.com/2020/12/14/generating-aruco-markers-with-opencv-and-python/