from cv2 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)
    

print(faces)
cv2.imshow("Face", img)
cv2.waitKey(0)
cv2.destroyAllWindows()