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：
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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
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# -*- 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服务器之家。
原文链接：https://blog.csdn.net/weixin_42512266/article/details/89467643
