import cv2
face_cascade = cv2.CascadeClassifier("C:\Program Files\Python38\haar-cascade-files-master\haar-cascade-files-master\haarcascade_frontalface_default.xml")
img = cv2.imread("F:\COLLEGE 23_10_20\messi-1000x600.jpg")
gray_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces =face_cascade.detectMultiScale(gray_img,scaleFactor=1.05,minNeighbors=5)
for x,y,w,h in faces:
        img = cv2.rectangle(img,(x,y), (x+w,y+h),(0,255,0),3)
cv2.imshow("Gray",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
