**using this code

import cv2

Load Trained cascade classifier

face_cascade = cv2.CascadeClassifier('C:/Users/Atin/Desktop/haarcascade_frontalface_default.xml')

#Read the given image

img = cv2.imread('C:/Users/Atin/Downloads/group.jpg')

Convert color image into grayscale

gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

Dectect face ROI

#syntax: classifer.detectMultiScale(input image,scale factor,mini navores)

facce = face_cascade.detectMultiScale(img,5.5,4)
print(facce)

#draw Rectangle around the face

for (x,y,w,h) in facce:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),4)

#show image

cv2.imshow('output img',img)

#wait for close window

cv2.waitKey()

#close all windows

cv2.destroyAllWindows()

from cvlib.