code: # -*- coding: utf-8 -*-
  """
  Created on Wed Jul 29 17:52:00 2020
  
  @author: hp
  """
  
  import cv2
  import numpy as np
  
  def get_face_detector(modelFile = "models/res10_300x300_ssd_iter_140000.caffemodel",
                        configFile = "models/deploy.prototxt"):
      """
      Get the face detection caffe model of OpenCV's DNN module
      
      Parameters
      ----------
      modelFile : string, optional
          Path to model file. The default is "models/res10_300x300_ssd_iter_140000.caffemodel".
      configFile : string, optional
          Path to config file. The default is "models/deploy.prototxt".
  
      Returns
      -------
      model : dnn_Net
  
      """
      modelFile = "models/res10_300x300_ssd_iter_140000.caffemodel"
      configFile = "models/deploy.prototxt"
      model = cv2.dnn.readNetFromCaffe(configFile, modelFile)
      return model
  
  def find_faces(img, model):
      """
      Find the faces in an image
      
      Parameters
      ----------
      img : np.uint8
          Image to find faces from
      model : dnn_Net
          Face detection model
  
      Returns
      -------
      faces : list
          List of coordinates of the faces detected in the image
  
      """
      h, w = img.shape[:2]
      blob = cv2.dnn.blobFromImage(cv2.resize(img, (300, 300)), 1.0,
  	(300, 300), (104.0, 177.0, 123.0))
      model.setInput(blob)
      res = model.forward()
      faces = []
      for i in range(res.shape[2]):
          confidence = res[0, 0, i, 2]
          if confidence > 0.5:
              box = res[0, 0, i, 3:7] * np.array([w, h, w, h])
              (x, y, x1, y1) = box.astype("int")
              faces.append([x, y, x1, y1])
      return faces
  
  def draw_faces(img, faces):
      """
      Draw faces on image
  
      Parameters
      ----------
      img : np.uint8
          Image to draw faces on
      faces : List of face coordinates
          Coordinates of faces to draw
  
      Returns
      -------
      None.
  
      """
      for x, y, x1, y1 in faces:
          cv2.rectangle(img, (x, y), (x1, y1), (0, 0, 255), 3)
          
apis: numpy.array