import cv2

faceCascade = cv2.CascadeClassifier("Resources/haarcascade_frontalface_default.xml")
img = cv2.imread('Resources/lp_image.png')
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)


faces = faceCascade.detectMultiScale(imgGray, 1.1, 4)

for (x, y, w, h) in faces:
    cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0),2)

cv2.imshow("Result", img)
cv2.waitKey(0)

