                    for side, detected_faces in self._detected_faces.items()}
          logger.trace(retval)
          return retval
  
      def _transform_landmarks(self, side, detected_faces):
          """ Transform frame landmarks to their aligned face variant.
  
          Parameters
          ----------
          side: {"a" or "b"}
              The side currently being processed
          detected_faces: list
              A list of :class:`lib.faces_detect.DetectedFace` objects
  
          Returns
          -------
          dict
              The face filenames as keys with the aligned landmarks as value.
          """
          landmarks = dict()
          for face in detected_faces.values():
              face.load_aligned(None, size=self._training_size)
              for filename in self._hash_to_filenames(side, face.hash):
                  landmarks[filename] = face.aligned_landmarks
          return landmarks
  
      # Get masks
      @property
      def masks(self):
          """ dict: The :class:`lib.faces_detect.Mask` objects of requested mask type for
          keys a" and "b"
 
</s> remove         """ dict: The :class:`lib.faces_detect.Mask` objects of requested mask type for
 </s> add         """ dict: The :class:`lib.align.Mask` objects of requested mask type for </s> remove         retval = {side: self._transform_landmarks(side, detected_faces)
                  for side, detected_faces in self._detected_faces.items()}
        logger.trace(retval)
 </s> add         retval = dict()
        for side, detected_faces in self._detected_faces.items():
            centering = "legacy" if self._alignments_version[side] == 1.0 else "head"
            logger.debug("side: %s, centering: %s", side, centering)
            ret_side = dict()
            for fhash, face in detected_faces.items():
                face.load_aligned(None, size=self._training_size, centering=centering)
                for filename in self._hash_to_filenames(side, fhash):
                    ret_side[filename] = face.aligned
            retval[side] = ret_side </s> remove             The :class:`numpy.ndarray` aligned landmarks for keys "a" and "b"
 </s> add             The "a", "b" keys for each side, containing a sub-dictionary with the
            filename as key and :class:`lib.faces.detected_face.AlignedFace` object as value. </s> remove             :class:`lib.faces_detect.DetectedFace` object
 </s> add             :class:`lib.align.DetectedFace` object </s> remove             The face filenames as keys with the :class:`lib.faces_detect.Mask` as value.
 </s> add             The face filenames as keys with the :class:`lib.align.Mask` as value.
                    for side, detected_faces in self._detected_faces.items()}
          logger.trace(retval)
          return retval
  






















      # Get masks
      @property
      def masks(self):
          """ dict: The :class:`lib.faces_detect.Mask` objects of requested mask type for
          keys a" and "b"
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 
plugins/train/trainer/_base.py