import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')
for i in range(1,7):
   i=str(i)
   img = cv2.imread('s'+i+'.jpg')
   gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
   faces = face_cascade.detectMultiScale(gray,1.1,50)

   for(x,y,w,h) in faces:
      cv2.rectangle(img, (x,y),(x+w,y+h),(255,0,0),2)
    
   cv2.imshow('img',img)
   cv2.waitKey()
   