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#import required libraries
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
%matplotlib inline
#load the classifiers downloaded
face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv.CascadeClassifier('haarcascade_eye.xml')
#read the image and convert to grayscale format
img = cv.imread('rotated_face.jpg')
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#calculate coordinates
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for (x,y,w,h) in faces:
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
#draw bounding boxes around detected features
for (ex,ey,ew,eh) in eyes:
#plot the image
#write image
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