Adaboost人脸检测

import cv2 import os img = cv2.imread('1.jpg')#读取一张图片 gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)#将图片转化成灰度 face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml") face_cascade.load('haarcascade_frontalface_alt2.xml') '''此文件是opencv的haar人脸特征分类器''' 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),5) cv2.imshow('img',img) # cv2.imwirte('result/' + img,img) cv2.waitKey()