import cv2

face_cascade=cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

img=cv2.imread("photo.jpg")
gray_img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

faces=face_cascade.detectMultiScale(gray_img,
scaleFactor=1.05,
minNeighbors=5)

for x, y, w, h in faces:
    img=cv2.rectangle(img, (x,y), (x+w, y+h),(0,255,0),3) #4 arguments passed img, top left and bottom right coordinates, top right and bottom left, colors, wwidth

#print(faces)
resized=cv2.resize(img,(int(img.shape[1]/3),int(img.shape[0]/3)))
cv2.imshow("Gray",resized)
cv2.waitKey(0)
cv2.destroyAllWindows()
