Augmented Maze

import cv2
import numpy as np
import imutils
import cvzone
from cvzone.HandTrackingModule import HandDetector

lower = np.array([0, 200, 20])
upper = np.array([5, 255, 255])

cap = cv2.VideoCapture(1)
cap.set(3, 1280)
cap.set(4, 720)

detector = HandDetector(detectionCon=0.8)

png1 = cv2.imread("PNG/maze_red.png", cv2.IMREAD_UNCHANGED)
png2 = cv2.imread("PNG/maze_green.png", cv2.IMREAD_UNCHANGED)

while True:
    success, img = cap.read()
    img = cv2.flip(img, 1)
    img = detector.findHands(img)
    lmList, _ = detector.findPosition(img)

    img = cvzone.overlayPNG(img, png1, [0, 0])
    image = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    mask = cv2.inRange(image, lower, upper)

    cnts = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    cnts = imutils.grab_contours(cnts)

    for c in cnts:
        area = cv2.contourArea(c)
        if area > 1000:
            cv2.drawContours(img, [c], -1, (0, 255, 0), 1)

    if lmList:
        cursor = lmList[8]
        if 100 < cursor[0] < 300 and 100 < cursor[1] < 300:
            img = cvzone.overlayPNG(img, png2, [0, 0])
            print("1")

    cv2.imshow("mask", mask)
    cv2.imshow("webcam", img)

    cv2.waitKey(1)