实现人脸识别性别之路---open CV将图片显示出来

import cv2
filename='E:\\tensorflow\\bu.jpg'#图片的地址

# face_cascade=cv2.CascadeClassifier('C:\\anconda3\\pkgs\\opencv3-3.1.0-py35_0\\Library\etc\\haarcascades\\haarcascade_frontalface_default.xml')
'''
调用分类器
'''

img=cv2.imread(filename)#读取照片
face_cascade=cv2.CascadeClassifier('C:\\anconda3\\pkgs\\opencv3-3.1.0-py35_0\\Library\etc\\haarcascades\\haarcascade_frontalface_default.xml')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces=face_cascade.detectMultiScale(gray,1.3,5)#识别人脸
for (x,y,h,w) in faces:
    img=cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
    #通过对角线在图片上画人脸框
    # f = cv2.resize(gray[y:(y + h), x:(x + w)], (200, 200))
    #重新设定图片的大小
    f = cv2.resize(gray[y:(y + h), x:(x + w)], (200, 200))

 cv2.namedWindow('faces Detected1')
 cv2.imshow('faces Detected!',f)#将图片显示出来
 cv2.imwrite('E:\\tensorflow\\faces2.jpg',f)
 print("********")
 cv2.waitKey(2)