import cv2save_path = 'F://face_photo_save//chenym//'cascade = cv2.CascadeClassifier("D://opencv249//opencv//sources//data//haarcascades//haarcascade_frontalface_alt_tree.xml")cap = cv2.VideoCapture(0)i = 0while 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) print "rect",rect if not rect is ():   for x,y,z,w in rect:   roiImg = frame[y:y+w,x:x+z]   cv2.imwrite(save_path+str(i)+'.jpg',roiImg)   cv2.rectangle(frame,(x,y),(x+z,y+w),(0,0,255),2)   i +=1 cv2.imshow('frame',frame)   if cv2.waitKey(1) &0xFF == ord('q'):  breakcap.release()cv2.destroyAllWindows()