使用python3完成人脸识别

原文地址：https://www.jb51.net/article/160197.htm

第一种：

 # -*- coding:utf-8 -*-
 import cv2 as cv
 import numpy as np

 src = cv.imread('test1.jpg')
 path = r'D:\face'

 def face_detect_demo():
   gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)

   face_detector = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
   face_detector.load(path + '\haarcascade_frontalface_default.xml')
   faces = face_detector.detectMultiScale(gray,1.3,5)
   for x,y,w,h in faces:
     cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)
   cv.imshow("result",src)

 print("--------------python face detect-------------")
 cv.namedWindow("input image",0)
 cv.namedWindow("result",0)
 cv.imshow("input image",src)
 face_detect_demo()
 cv.waitKey(0)
 cv.destroyAllWindows()

效果：

第二种：

 # -*- coding:utf-8 -*-
 import cv2 as cv
 import numpy as np

 src = cv.imread('test1.jpg')
 path = r'D:\face'

 def face_detect_demo():
   gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)

   face_detector = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
   face_detector.load(path + '\haarcascade_frontalface_default.xml')
   faces = face_detector.detectMultiScale(gray,1.3,5)
   for x,y,w,h in faces:
     cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)
   cv.imshow("result",src)

 print("--------------python face detect-------------")
 cv.namedWindow("input image",0)
 cv.namedWindow("result",0)
 cv.imshow("input image",src)
 face_detect_demo()
 cv.waitKey(0)
 cv.destroyAllWindows()

效果：