                             placeholder,
                             flags=cv2.WARP_INVERSE_MAP | interpolator,
                             borderMode=cv2.BORDER_TRANSPARENT)
  
          logger.trace("Got filename: '%s'. (placeholders: %s)",
                       predicted["filename"], placeholder.shape)
  
          return placeholder, background
  
      def _pre_warp_adjustments(self, new_face, detected_face, reference_face, predicted_mask):
          """ Run any requested adjustments that can be performed on the raw output from the Faceswap
 
</s> remove     def _pre_warp_adjustments(self, new_face, detected_face, reference_face, predicted_mask):
 </s> add     def _pre_warp_adjustments(self,
                              new_face: np.ndarray,
                              detected_face: "DetectedFace",
                              reference_face: "AlignedFace",
                              predicted_mask: Optional[np.ndarray]) -> np.ndarray: </s> remove     def _get_new_image(self, predicted, frame_size):
 </s> add     def _get_new_image(self,
                       predicted: "ConvertItem",
                       frame_size: Tuple[int, int]) -> Tuple[np.ndarray, np.ndarray]: </s> remove     def _post_warp_adjustments(self, background, new_image):
 </s> add     def _post_warp_adjustments(self, background: np.ndarray, new_image: np.ndarray) -> np.ndarray: </s> remove         logger.trace("Got mask. Image shape: %s", new_face.shape)
 </s> add         logger.trace("Got mask. Image shape: %s", new_face.shape)  # type: ignore </s> remove     def _predict_faces(self):
 </s> add     def _predict_faces(self) -> None:
        logger.trace("Got filename: '%s'. (placeholders: %s)",  # type: ignore
                     predicted.inbound.filename, placeholder.shape)
                             placeholder,
                             flags=cv2.WARP_INVERSE_MAP | interpolator,
                             borderMode=cv2.BORDER_TRANSPARENT)
  
        logger.trace("Got filename: '%s'. (placeholders: %s)",  # type: ignore
                     predicted.inbound.filename, placeholder.shape)
        logger.trace("Got filename: '%s'. (placeholders: %s)",  # type: ignore
                     predicted.inbound.filename, placeholder.shape)
  
          return placeholder, background
  
      def _pre_warp_adjustments(self, new_face, detected_face, reference_face, predicted_mask):
          """ Run any requested adjustments that can be performed on the raw output from the Faceswap
keep keep keep keep replace 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 
lib/convert.py