import cv2
import numpy
import numpy as np
image=cv2.imread("image\p4.jpg")
cv2.imshow("p4",image)
cv2.waitKey(0)
cv2.destroyAllWindows()
image1=cv2.resize(image,(700,800))
cv2.imshow("p1",image1)
cv2.waitKey(0)
cv2.destroyAllWindows()
gray=cv2.cvtColor(image1,cv2.COLOR_BGR2GRAY)
faceCascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
faces=faceCascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(5,5))
print("发现{0}个人脸".format(len(faces)))
print("其位子分别是:")
print(faces)
for(x,y,w,h) in faces:
cv2.rectangle(image1,(x,y),(x+w,y+h),(0,255,0),2)
cv2.imshow("202200103023",image1)
cv2.waitKey(0)
cv2.destroyAllWindows()