text: import numpy as np
  import cv2
  
  class Detector:
      def __init__(self):
          haar_cascade_front = 'Classifiers/haarcascade_frontalface_default.xml'
          haar_cascade_profile = 'Classifiers/haarcascade_profileface.xml'
  
          self.frontal_face_cascade = cv2.CascadeClassifier(haar_cascade_front)
          self.profile_face_cascade = cv2.CascadeClassifier(haar_cascade_profile)
  
      def detect(self, image_file):
  
          img = cv2.imread(image_file)
          gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  
          rectangles = []
          faces_front = self.frontal_face_cascade.detectMultiScale(gray, 1.3, 5)
          faces_profile = self.profile_face_cascade.detectMultiScale(gray, 1.3, 5)
          rectangles.extend(faces_front)
          rectangles.extend(faces_profile)
          return rectangles
  
      def show_on_image(self, image_file, rectangles):
  
          img = cv2.imread(image_file)
          gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  
          for (x,y,w,h) in rectangles:
              img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
              roi_gray = gray[y:y+h, x:x+w]
              roi_color = img[y:y+h, x:x+w]
  
          return img
  
  
  if __name__ == '__main__':
      image = 'Images/people-02.jpg'
      dt = Detector()
      recs = dt.detect(image)
      img = dt.show_on_image(image, recs)
      cv2.imshow('img',img)
      cv2.waitKey(0)
      cv2.destroyAllWindows()
  