import cv2

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

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

faces = face_cascade.detectMultiScale(gray_img, scaleFactor = 1.1, minNeighbors = 4)

for x, y, w, h in faces:
    img = cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 3) #coordinates for the rectangle, color and line weight
    
print (type(faces))
print(faces)

cv2.imshow("Gray", img)
cv2.waitKey(0)
cv2.destroyAllWindows()