传统算法人脸检测程序11

import numpy as np import cv2 #image=cv2.imread("images/test.jpg",1) #cv2.imshow("1",image) #cv2.waitKey() image=cv2.imread("images/test.jpg") gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) #cv2.imshow("Showing gray image",gray) #cv2.waitKey() faceCascade=cv2.CascadeClassifier("haarcascade_frontalface_default.xml") eyeCascade=cv2.CascadeClassifier("haarcascade_eye.xml") #调用detectMultiScale功能检测图像中的人脸 faces=faceCascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(30,30)) #将检测到的人脸用矩形标识 for (x,y,w,h) in faces: cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2) roi_gray=gray[x:x+w,y:y+h] roi_color=image[x:x+w,y:y+h] eyes=eyeCascade.detectMultiScale(roi_gray) for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) #将矩形标识后的图像输出保存 cv2.imwrite("test_fr.png",image) cv2.namedWindow("Image",cv2.WINDOW_NORMAL)#窗口大小的调整 cv2.imshow("Image",image) cv2.waitKey()