import cv2 cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml") cap = cv2.VideoCapture(0) while True: ret,frame = cap.read() gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) #rect = cascade.detectMultiScale(gray,scaleFactor=1.3,minNeighbors=9,minSize=(50,50),flags = cv2.cv.CV_HAAR_SCALE_IMAGE) rect = cascade.detectMultiScale(gray, scaleFactor = 1.2, minNeighbors = 3, minSize = (32, 32)) for x,y,z,w in rect: cv2.rectangle(frame,(x,y),(x+z,y+w),(0,0,255),2) cv2.imshow('frame',frame) if cv2.waitKey(1) &0xFF == ord('q'): break cap.release() cv2.destroyAllWindows()