import cv2 import numpy as np
marker_image = cv2.imread('marker.jpg') marker_size = (100, 100) # Size of the marker image
cap = cv2.VideoCapture(0)
while True: ret, frame = cap.read() if not ret: break
# Detect the marker in the camera feed
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
aruco_dict = cv2.aruco.Dictionary_get(cv2.aruco.DICT_6X6_250)
parameters = cv2.aruco.DetectorParameters_create()
corners, ids, _ = cv2.aruco.detectMarkers(gray_frame, aruco_dict, parameters=parameters)
if ids is not None:
# Draw the marker outline and ID on the frame
cv2.aruco.drawDetectedMarkers(frame,
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