本文实例为大家分享了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：

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。