          """ bool: ``True`` if multiple faces have been found in frames, otherwise ``False``. """
          return self._verify_output
  
      @property
      def coverage_ratio(self):
          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
      def centering(self):
 
</s> remove     def centering(self):
        """ str: The centering that the model was trained on (`"face"` or `"legacy"`) """
 </s> add     def centering(self) -> "CenteringType":
        """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """ </s> remove     def verify_output(self):
 </s> add     def verify_output(self) -> bool: </s> remove     def has_predicted_mask(self):
 </s> add     def has_predicted_mask(self) -> bool: </s> remove     def output_size(self):
 </s> add     def output_size(self) -> int: </s> remove     def draw_transparent(self):
 </s> add     def draw_transparent(self) -> bool:
    def coverage_ratio(self) -> float:
          """ bool: ``True`` if multiple faces have been found in frames, otherwise ``False``. """
          return self._verify_output
  
      @property
    def coverage_ratio(self) -> float:
          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
      def centering(self):
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