import cv2
face_cascade = cv2.CascadeClassifier(r"C:\Users\Personal\Downloads\haarcascade_eye.xml")
eye_cascade = cv2.CascadeClassifier(r"C:\Users\Personal\Downloads\haarcascade_frontalface_default.xml")
cap = cv2.VideoCapture(0)
while True:
    ret,img = cap.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray,1.3,5)
    for(x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        rfe_gray = gray[y:y+h,x:x+w]
        rfe_color = img[y:y+h,x:x+w]
        eyes = eye_cascade.detectMultiScale(rfe_gray)
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(rfe_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
    cv2.imshow("img",img)
    k = cv2.waitKey(30)&0xff
    if k == 27:
        break
cap.release()
cv2.destroyAllWindows()
