python 用opencv调用训练好的模型进行识别的方法

此程序为先调用opencv自带的人脸检测模型,检测到人脸后,再调用我自己训练好的模型去识别人脸,使用时更改模型地址即可

#!usr/bin/env python
import cv2
font=cv2.font_hershey_simplex
cascade1 = cv2.cascadeclassifier("d:\\opencv249\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt_tree.xml")
cascade2 = cv2.cascadeclassifier("d:\\opencv249\\opencv\\sources\\data\\haarcascades\\xml.xml")
cap = cv2.videocapture(0)
while true:
 ret,frame = cap.read()
 gray = cv2.cvtcolor(frame,cv2.color_bgr2gray)
 rect = cascade1.detectmultiscale(gray,scalefactor=1.3,minneighbors=9,minsize=(50,50),flags = cv2.cv.cv_haar_scale_image)
 if not rect is (): 
  for x,y,z,w in rect:
   roiimg = gray[y:y+w,x:x+z]
   rect1 = cascade2.detectmultiscale(roiimg,scalefactor=1.3,minneighbors=9,minsize=(50,50),flags = cv2.cv.cv_haar_scale_image)
   if not rect1 is ():
    for (a,b,c,d) in rect1:
     print "rect",rect1
     cv2.puttext(frame,'chenym',(x,y), font, 2,(0,0,255),2)
     cv2.rectangle(frame,(x+a,y+b),(x+a+c,y+b+d),(0,0,255),2)
 cv2.imshow('frame',frame)
 if cv2.waitkey(1) &0xff == ord('q'):
  break
cap.release()
cv2.destroyallwindows()

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