          logger.debug("Loading DFL faces")
          self.faces = Faces(arguments.faces_dir)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      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
  
      @staticmethod
      def get_dfl_alignment(filename):
          """ Process the alignment of one face """
          ext = os.path.splitext(filename)[1]
 
</s> remove         self.alignments = alignments
        if self.alignments.file != "dfl.fsa":
            logger.error("Alignments file must be specified as 'dfl' to reformat dfl alignmnets")
            sys.exit(1)
        logger.debug("Loading DFL faces")
        self.faces = Faces(arguments.faces_dir)
 </s> add         self._alignments = alignments
        self._frames = Frames(arguments.frames_dir)
        self._output_folder = self._set_output()
        self._mesh_areas = dict(mouth=(48, 68),
                                right_eyebrow=(17, 22),
                                left_eyebrow=(22, 27),
                                right_eye=(36, 42),
                                left_eye=(42, 48),
                                nose=(27, 36),
                                jaw=(0, 17),
                                chin=(8, 11)) </s> remove     @staticmethod
    def get_dfl_alignment(filename):
        """ Process the alignment of one face """
        ext = os.path.splitext(filename)[1]

        if ext.lower() in (".jpg", ".jpeg"):
            img = Image.open(filename)
            try:
                dfl_alignments = pickle.loads(img.app["APP15"])
                dfl_alignments["source_rect"] = [n.item()  # comes as non-JSONable np.int32
                                                 for n in dfl_alignments["source_rect"]]
                return dfl_alignments
            except pickle.UnpicklingError:
                return None

        with open(filename, "rb") as dfl:
            header = dfl.read(8)
            if header != b"\x89PNG\r\n\x1a\n":
                logger.error("No Valid PNG header: %s", filename)
                return None
            while True:
                chunk_start = dfl.tell()
                chunk_hdr = dfl.read(8)
                if not chunk_hdr:
                    break
                chunk_length, chunk_name = struct.unpack("!I4s", chunk_hdr)
                dfl.seek(chunk_start, os.SEEK_SET)
                if chunk_name == b"fcWp":
                    chunk = dfl.read(chunk_length + 12)
                    retval = pickle.loads(chunk[8:-4])
                    logger.trace("Loaded DFL Alignment: (filename: '%s', alignment: %s",
                                 filename, retval)
                    return retval
                dfl.seek(chunk_length+12, os.SEEK_CUR)
            logger.error("Couldn't find DFL alignments: %s", filename)
 </s> add         If annotating a folder of frames, output will be placed in a sub folder within the frames
        folder. If annotating a video, output will be a folder next to the original video. </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         """Process the alignments file merge """
 </s> add         """Run the alignments file merging process. """ </s> remove             if f_hash not in self.alignments.hashes_to_frame:
 </s> add             if f_hash not in self._alignments.hashes_to_frame:
    def _set_output(self):
        """ Set the output folder path.
          logger.debug("Loading DFL faces")
          self.faces = Faces(arguments.faces_dir)
          logger.debug("Initialized %s", self.__class__.__name__)
  
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
    def _set_output(self):
        """ Set the output folder path.
  
      @staticmethod
      def get_dfl_alignment(filename):
          """ Process the alignment of one face """
          ext = os.path.splitext(filename)[1]
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace replace 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