          """ Check if model is available, if not, download and unzip it """
          root_path = os.path.abspath(os.path.dirname(sys.argv[0]))
          cache_path = os.path.join(root_path, "plugins", "extract", "recognition", ".cache")
          model = GetModel(model_filename, cache_path, git_model_id).model_path
          model = cv2.dnn.readNetFromCaffe(model[1], model[0])  # pylint: disable=no-member
          model.setPreferableTarget(self.get_backend(backend))
          return model
  
      @staticmethod
      def get_backend(backend):
 
</s> remove             config.gpu_options.allow_growth = True  # pylint:disable=no-member
 </s> add             config.gpu_options.allow_growth = True </s> remove         if face.shape[0] < self.input_size:
            interpolation = cv2.INTER_CUBIC  # pylint:disable=no-member
        else:
            interpolation = cv2.INTER_AREA  # pylint:disable=no-member

        face = cv2.resize(face,  # pylint:disable=no-member
                          dsize=(self.input_size, self.input_size),
                          interpolation=interpolation)
 </s> add         sizes = (self.input_size, self.input_size)
        interpolation = cv2.INTER_CUBIC if face.shape[0] < self.input_size else cv2.INTER_AREA
        face = cv2.resize(face, dsize=sizes, interpolation=interpolation) </s> remove         if face.shape[0] < self.input_size:
            interpolation = cv2.INTER_CUBIC  # pylint:disable=no-member
        else:
            interpolation = cv2.INTER_AREA  # pylint:disable=no-member

        face = cv2.resize(face,  # pylint:disable=no-member
                          dsize=(self.input_size, self.input_size),
                          interpolation=interpolation)
 </s> add         sizes = (self.input_size, self.input_size)
        interpolation = cv2.INTER_CUBIC if face.shape[0] < self.input_size else cv2.INTER_AREA
        face = cv2.resize(face, dsize=sizes, interpolation=interpolation) </s> remove             if face.shape[0] < self.input_size:
                interpolation = cv2.INTER_CUBIC  # pylint:disable=no-member
            else:
                interpolation = cv2.INTER_AREA  # pylint:disable=no-member

            face = cv2.resize(face,  # pylint:disable=no-member
                              dsize=(int(self.input_size), int(self.input_size)),
                              interpolation=interpolation)
 </s> add             interpolation = cv2.INTER_CUBIC if face.shape[0] < self.input_size else cv2.INTER_AREA
            face = cv2.resize(face, dsize=sizes, interpolation=interpolation) </s> remove         text_sizes = [cv2.getTextSize(self.faces["filenames"][idx],  # pylint: disable=no-member
 </s> add         text_sizes = [cv2.getTextSize(self.faces["filenames"][idx],
        model = cv2.dnn.readNetFromCaffe(model[1], model[0])
          """ Check if model is available, if not, download and unzip it """
          root_path = os.path.abspath(os.path.dirname(sys.argv[0]))
          cache_path = os.path.join(root_path, "plugins", "extract", "recognition", ".cache")
          model = GetModel(model_filename, cache_path, git_model_id).model_path
        model = cv2.dnn.readNetFromCaffe(model[1], model[0])
          model.setPreferableTarget(self.get_backend(backend))
          return model
  
      @staticmethod
      def get_backend(backend):
keep keep keep keep replace keep keep keep keep keep
 # pylint:disable=no-member cleanup (#927)

# pylint:disable=no-member cleanup 
lib/vgg_face.py