          """
          log_once = False
          logger.debug("args: %s", args)
          if self._update_type != "output":
              queue = args[0]
          for filename, image, metadata in tqdm(self._loader.load(), total=self._loader.count):
              if not metadata:  # Legacy faces. Update the headers
                  if not log_once:
                      logger.warning("Legacy faces discovered. These faces will be updated")
                      log_once = True
 
</s> remove             queue = args[0]
 </s> add             queue = cast("EventQueue", args[0]) </s> remove             frame_name = metadata["source"]["source_filename"]
            face_index = metadata["source"]["face_index"]
            alignment = self._alignments.get_faces_in_frame(frame_name)
            if not alignment or face_index > len(alignment) - 1:
                self._counts["skip"] += 1
                logger.warning("Skipping Face not found in alignments file: '%s'", filename)
                continue
            alignment = alignment[face_index]
            self._counts["face"] += 1

            if self._check_for_missing(frame_name, face_index, alignment):
                continue

            detected_face = self._get_detected_face(alignment)
            if self._update_type == "output":
                detected_face.image = image
                self._save(frame_name, face_index, detected_face)
            else:
                media = ExtractMedia(filename, image, detected_faces=[detected_face])
                # Hacky overload of ExtractMedia's shape parameter to apply the actual original
                # frame dimension
                media._image_shape = (*metadata["source"]["source_frame_dims"], 3)
                setattr(media, "mask_tool_face_info", metadata["source"])  # TODO formalize
 </s> add             media = self._process_face(filename, image, metadata)
            if media is not None: </s> remove     def _input_faces(self, *args):
 </s> add     def _process_face(self,
                      filename: str,
                      image: np.ndarray,
                      metadata: Dict[str, Any]) -> Optional["ExtractMedia"]:
        """ Process a single face when masking from face images

        filename: str
            the filename currently being processed
        image: :class:`numpy.ndarray`
            The current face being processed
        metadata: dict
            The source frame metadata from the PNG header

        Returns
        -------
        :class:`plugins.pipeline.ExtractMedia` or ``None``
            If the update type is 'output' then nothing is returned otherwise the extract media for
            the face is returned
        """
        frame_name = metadata["source"]["source_filename"]
        face_index = metadata["source"]["face_index"]
        alignment = self._alignments.get_faces_in_frame(frame_name)
        if not alignment or face_index > len(alignment) - 1:
            self._counts["skip"] += 1
            logger.warning("Skipping Face not found in alignments file: '%s'", filename)
            return None
        alignment = alignment[face_index]
        self._counts["face"] += 1

        if self._check_for_missing(frame_name, face_index, alignment):
            return None

        detected_face = self._get_detected_face(alignment)
        if self._update_type == "output":
            detected_face.image = image
            self._save(frame_name, face_index, detected_face)
            return None

        media = ExtractMedia(filename, image, detected_faces=[detected_face])
        media.add_frame_metadata(metadata["source"])
        self._counts["update"] += 1
        return media

    def _input_faces(self, *args: Union[tuple, Tuple["EventQueue"]]) -> None:
            queue = cast("EventQueue", args[0])
          """
          log_once = False
          logger.debug("args: %s", args)
          if self._update_type != "output":
            queue = cast("EventQueue", args[0])
          for filename, image, metadata in tqdm(self._loader.load(), total=self._loader.count):
              if not metadata:  # Legacy faces. Update the headers
                  if not log_once:
                      logger.warning("Legacy faces discovered. These faces will be updated")
                      log_once = True
keep keep keep keep replace keep keep keep keep keep
 Minor updates and fixups
  - Mask Tool - Typing + BiSeNet mask update fix
  - Alignments Tool - Auto search for alignments file 
tools/mask/mask.py