  
          self.define_model(self.model_definition)
          self.load_model_weights()
  
      @staticmethod
      def model_definition():
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
          var_x = Conv2D(10, (3, 3), strides=1, padding='valid', name='conv1')(input_)
          var_x = PReLU(shared_axes=[1, 2], name='PReLU1')(var_x)
 
</s> remove         """ Keras P-Network for MTCNN """
 </s> add         """ Keras P-Network Definition for MTCNN """ </s> remove         """ Keras R-Network for MTCNN """
 </s> add         """ Keras R-Network Definition for MTCNN """ </s> remove                          exclude_gpus=exclude_gpus)
 </s> add                          exclude_gpus=exclude_gpus,
                         cpu_mode=cpu_mode) </s> remove                          exclude_gpus=exclude_gpus)
 </s> add                          exclude_gpus=exclude_gpus,
                         cpu_mode=cpu_mode)

        self._input_size = input_size
        self._threshold = threshold

        self._pnet_scales = self._calculate_scales(min_size, factor)
        self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                            for scale in self._pnet_scales]
        self._pnet_input: Optional[List[np.ndarray]] = None

  
          self.define_model(self.model_definition)
          self.load_model_weights()
  
        self._input_size = input_size
        self._threshold = threshold

        self._pnet_scales = self._calculate_scales(min_size, factor)
        self._pnet_sizes = [(int(input_size * scale), int(input_size * scale))
                            for scale in self._pnet_scales]
        self._pnet_input: Optional[List[np.ndarray]] = None

      @staticmethod
      def model_definition():
          """ Keras P-Network Definition for MTCNN """
          input_ = Input(shape=(None, None, 3))
          var_x = Conv2D(10, (3, 3), strides=1, padding='valid', name='conv1')(input_)
          var_x = PReLU(shared_axes=[1, 2], name='PReLU1')(var_x)
keep keep keep add keep keep keep keep keep keep
 Add CPU option to BiSeNet and MTCNN
  - Add CPU option to KSession
  - MTCNN optimizations
  - Update docs for bisenet + mtcnn 
plugins/extract/detect/mtcnn.py