          """yield each face that isn't in the alignments file."""
          self.output_message = "Faces missing from the alignments file"
          for face in tqdm(self.items, desc=self.output_message):
              f_hash = face["face_hash"]
              if f_hash not in self.alignments.hashes_to_frame:
                  logger.debug("Returning: '%s'", face["face_fullname"])
                  yield face["face_fullname"], -1
  
      def output_results(self, items_output):
          """ Output the results in the requested format """
 
</s> remove         for frame in tqdm(self.alignments.data.keys(), desc=self.output_message):
 </s> add         for frame in tqdm(self._alignments.data.keys(), desc=self.output_message): </s> remove             if not self.alignments.frame_has_faces(frame_name):
 </s> add             if not self._alignments.frame_has_faces(frame_name): </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                     and not self.alignments.frame_exists(frame_name)):
 </s> add                     and not self._alignments.frame_exists(frame_name)): </s> remove             if not self.alignments.frame_has_multiple_faces(filename):
 </s> add             if not self._alignments.frame_has_multiple_faces(filename):
            if f_hash not in self._alignments.hashes_to_frame:
          """yield each face that isn't in the alignments file."""
          self.output_message = "Faces missing from the alignments file"
          for face in tqdm(self.items, desc=self.output_message):
              f_hash = face["face_hash"]
            if f_hash not in self._alignments.hashes_to_frame:
                  logger.debug("Returning: '%s'", face["face_fullname"])
                  yield face["face_fullname"], -1
  
      def output_results(self, items_output):
          """ Output the results in the requested format """
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