      def output_size(self):
          """ int: The size in pixels of the Faceswap model output. """
          return self._sizes["output"]
  
      def _get_io_sizes(self):
          """ Obtain the input size and output size of the model.
  
          Returns
          -------
          dict
 
</s> remove     def output_size(self):
 </s> add     def output_size(self) -> int: </s> remove     def _get_batchsize(self, queue_size):
 </s> add     def _get_batchsize(self, queue_size: int) -> int: </s> remove     in_queue: :class:`queue.Queue`
 </s> add     in_queue: :class:`~lib.queue_manager.EventQueue` </s> remove     def predicted_images(self):
 </s> add     def predicted_images(self) -> List[Tuple[ConvertItem, np.ndarray]]: </s> remove     def in_queue(self):
        """ :class:`queue.Queue`: The input queue to the predictor. """
 </s> add     def in_queue(self) -> "EventQueue":
        """ :class:`~lib.queue_manager.EventQueue`: The input queue to the predictor. """
    def _get_io_sizes(self) -> Dict[str, int]:
      def output_size(self):
          """ int: The size in pixels of the Faceswap model output. """
          return self._sizes["output"]
  
    def _get_io_sizes(self) -> Dict[str, int]:
          """ Obtain the input size and output size of the model.
  
          Returns
          -------
          dict
keep keep keep keep replace keep keep keep keep keep
 Bugfix: convert - Gif Writer
  - Fix non-launch error on Gif Writer
  - convert plugins - linting
  - convert/fs_media/preview/queue_manager - typing
  - Change convert items from dict to Dataclass 
scripts/convert.py