import cv2

faceCascade=cv2.CascadeClassifier("Resources/haarcascade_frontalface_default.xml")


cap=cv2.VideoCapture(0)
cap.set(3,640)
cap.set(4,480)


while True:
    success,img =cap.read()
    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces =faceCascade.detectMultiScale(gray,scaleFactor=1.2,minNeighbors=5,minSize=(20,20))

    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
        roi_gray= gray[y:y+h,x:x+w]
        roi_color= img[y:y+h,x:x+w]

    cv2.imshow("video",img)

    k= cv2.waitKey(1)& 0xff
    if k==27:
        break

cap.release()
cv2.destroyAllWindows()










