使用python3完成人脸识别

 1 # -*- coding:utf-8 -*-
 2 import cv2 as cv
 3 import numpy as np
 4  
 5 src = cv.imread(‘test1.jpg‘)
 6 path = r‘D:\face‘
 7  
 8 def face_detect_demo():
 9   gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)
10  
11   face_detector = cv.CascadeClassifier(‘haarcascade_frontalface_default.xml‘)
12   face_detector.load(path + ‘\haarcascade_frontalface_default.xml‘)
13   faces = face_detector.detectMultiScale(gray,1.3,5)
14   for x,y,w,h in faces:
15     cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)
16   cv.imshow("result",src)
17  
18 print("--------------python face detect-------------")
19 cv.namedWindow("input image",0)
20 cv.namedWindow("result",0)
21 cv.imshow("input image",src)
22 face_detect_demo()
23 cv.waitKey(0)
24 cv.destroyAllWindows()

 1 # -*- coding:utf-8 -*-
 2 import cv2 as cv
 3 import numpy as np
 4  
 5 src = cv.imread(‘test1.jpg‘)
 6 path = r‘D:\face‘
 7  
 8 def face_detect_demo():
 9   gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)
10  
11   face_detector = cv.CascadeClassifier(‘haarcascade_frontalface_default.xml‘)
12   face_detector.load(path + ‘\haarcascade_frontalface_default.xml‘)
13   faces = face_detector.detectMultiScale(gray,1.3,5)
14   for x,y,w,h in faces:
15     cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)
16   cv.imshow("result",src)
17  
18 print("--------------python face detect-------------")
19 cv.namedWindow("input image",0)
20 cv.namedWindow("result",0)
21 cv.imshow("input image",src)
22 face_detect_demo()
23 cv.waitKey(0)
24 cv.destroyAllWindows()