python3人脸识别的两种方法

本文实例为大家分享了python/' target='_blank'>python3实现人脸识别的具体代码，供大家参考，具体内容如下

第一种：

import cv2import numpy as npfilename = 'test1.jpg'path = r'D:\face'def detect(filename):  face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')  face_cascade.load(path + '\haarcascade_frontalface_default.xml')  img = cv2.imread(filename)  gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  faces = face_cascade.detectMultiScale(gray, 1.3, 5)  for (x, y, w, h) in faces:    img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)  cv2.namedWindow("vikings detected")  cv2.imshow("vikings detected", img)  cv2.waitKey(0)detect(filename)

结果：

第二种 参考贾志刚opencv教程

# -*- coding:utf-8 -*-import cv2 as cvimport numpy as npsrc = 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()

结果：

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