              return None
          return Faces(arguments.faces_dir)
  
      def process(self):
          """Process the alignments file merge """
          logger.info("[MERGE ALIGNMENTS]")  # Tidy up cli output
          if self.faces is not None:
              self.remove_faces()
          self._hashes_to_frame = self.final_alignments.hashes_to_frame
          skip_count = 0
 
</s> remove         if self.faces is not None:
            self.remove_faces()
        self._hashes_to_frame = self.final_alignments.hashes_to_frame
 </s> add         if self._faces is not None:
            self._remove_faces()
        self._hashes_to_frame = self._final_alignments.hashes_to_frame </s> remove         self.alignments = alignments
        self.faces = faces if faces else Faces(arguments.faces_dir)
 </s> add         self._alignments = alignments
        self._faces = faces if faces else Faces(arguments.faces_dir) </s> remove     def process(self):
        """ Run reformat """
        logger.info("[REFORMAT DFL ALIGNMENTS]")  # Tidy up cli output
        self.alignments.data_from_dfl(self.load_dfl(), self.faces.folder)
        self.alignments.save()

    def load_dfl(self):
        """ Load alignments from DeepFaceLab and format for Faceswap """
        alignments = dict()
        for face in tqdm(self.faces.file_list_sorted, desc="Converting DFL Faces"):
            if face["face_extension"] not in (".png", ".jpg"):
                logger.verbose("'%s' is not a png or jpeg. Skipping", face["face_fullname"])
                continue
            f_hash = face["face_hash"]
            fullpath = os.path.join(self.faces.folder, face["face_fullname"])
            dfl = self.get_dfl_alignment(fullpath)

            if not dfl:
                continue

            self.convert_dfl_alignment(dfl, f_hash, alignments)
        return alignments
 </s> add     def _set_output(self):
        """ Set the output folder path. </s> remove         """ run removal """
        logger.info("[REMOVE ALIGNMENTS DATA]")  # Tidy up cli output
        del_count = 0
        task = getattr(self, "remove_{}".format(self.type))

        if self.type == "frames":
            logger.debug("Removing Frames")
            for frame in tqdm(list(item[3] for item in self.alignments.yield_faces()),
                              desc="Removing Frames",
                              total=self.alignments.frames_count):
                del_count += task(frame)
        else:
            logger.debug("Removing Faces")
            del_count = task()
 </s> add         """ Run the job to remove faces from an alignments file that do not exist within a faces
        folder. """
        logger.info("[REMOVE FACES FROM ALIGNMENTS]")  # Tidy up cli output

        face_hashes = self._items.items
        if not face_hashes:
            logger.error("No matching faces found in your faces folder. This would remove all "
                         "faces from your alignments file. Process aborted.")
            return

        pre_face_count = self._alignments.faces_count
        self._alignments.filter_hashes(face_hashes, filter_out=False)
        del_count = pre_face_count - self._alignments.faces_count </s> remove     def get_items(self, arguments):
        """ Set the correct items to process """
        retval = None
        if self.type == "frames":
            retval = Frames(arguments.frames_dir).items
        elif self.type == "faces":
            retval = Faces(arguments.faces_dir)
        return retval

 </s> add 
        """Run the alignments file merging process. """
              return None
          return Faces(arguments.faces_dir)
  
      def process(self):
        """Run the alignments file merging process. """
          logger.info("[MERGE ALIGNMENTS]")  # Tidy up cli output
          if self.faces is not None:
              self.remove_faces()
          self._hashes_to_frame = self.final_alignments.hashes_to_frame
          skip_count = 0
keep keep keep keep replace keep keep keep keep keep
 Extract - Increase area and move centering (#1095)

* Extract
  - Implement aligner re-feeding
  - Add extract type to pipeline.ExtractMedia
  - Add pose annotation to debug
* Convert
  - implement centering
  - remove usage of feed and reference face properties
  - Remove distributed option from convert
  - Force update of alignments file on legacy receive
* Train
  - Resize preview image to model output size
  - Force legacy centering if centering does not exist in model's state file
  - Enable training on legacy face sets

* Alignments Tool
  - Update draw to include head/pose
  - Remove DFL drop + linting
  - Remove remove-frames job
  - remove align-eyes option
  - Update legacy masks to new extract type
  - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files
  - Re-generate thumbnails on legacy upgrade
* Mask Tool
  - Update for new extract + bugfix full frame
* Manual Tool
  - Update to new extraction method
   - Disable legacy alignments,
   - extract box bugfix
   - extract faces - size to 512 and center on head
* Preview Tool
  - Display based on model centering
* Sort Tool
  - Use alignments for sort by face

* lib.aligner
  - Add Pose Class
  - Add AlignedFace Class
  - center _MEAN_FACE on x
  - Add meta information with versioning to alignments file
  - lib.aligner.get_align_matrix to use landmarks not face
  - Refactor aligned faces in lib.faces_detect
* lib.logger
  - larger file log padding
* lib.config
  - Fix global changeable_items
* lib.face_filter
  - Use new extracted face images
* lib.image
  - bump thumbnail default size to 96px 
tools/alignments/jobs.py