import cv2
img = cv2.imread(r"D:\Desktop\hk1.png")
img = cv2.resize(img, (int(img.shape[1]/3) , int(img.shape[0]/3) ))
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier(r"D:\Python\Python37\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml")
faces = face_cascade.detectMultiScale(gray,scaleFactor = 1.1,minNeighbors = 10)
for x,y,w,h in faces:
img = cv2.rectangle(img,(x,y),(x+w,y+h),(120,220,110),3)
cv2.imshow('hankai',img)
import cv2
img = cv2.imread(r'D:\Desktop\tu1.png',0)
cv2.imshow('tu1',img)
k = cv2.waitKey(0)
if k == 27:
cv2.destroyWindow('tu1')
elif k == 115:
cv2.imwrite(r'D:\Desktop\tu6.png',img)
cv2.destroyAllWindows()