          logger.debug("Batchsize: %s", batchsize)
          logger.debug("Got batchsize: %s", batchsize)
          return batchsize
  
      def _get_model_name(self, model_dir):
          """ Return the name of the Faceswap model used.
  
          If a "trainer" option has been selected in the command line arguments, use that value,
          otherwise retrieve the name of the model from the model's state file.
  
 
</s> remove     def _scale_image(self, frame):
 </s> add     def _scale_image(self, frame: np.ndarray) -> np.ndarray: </s> remove     def set_centering(self, centering):
 </s> add     def set_centering(self, centering: "CenteringType") -> None: </s> remove     def _total_columns(self):
        """ Return the total number of images that are being displayed """
 </s> add     def _total_columns(self) -> int:
        """ int: The total number of images that are being displayed """ </s> remove     def output_size(self):
 </s> add     def output_size(self) -> int: </s> remove     def _get_frame_ranges(self):
 </s> add     def _get_frame_ranges(self) -> Optional[List[Tuple[int, int]]]:
    def _get_model_name(self, model_dir: str) -> str:
          logger.debug("Batchsize: %s", batchsize)
          logger.debug("Got batchsize: %s", batchsize)
          return batchsize
  
    def _get_model_name(self, model_dir: str) -> str:
          """ Return the name of the Faceswap model used.
  
          If a "trainer" option has been selected in the command line arguments, use that value,
          otherwise retrieve the name of the model from the model's state file.
  
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