          return self._predicted_images
  
      @property
      def alignments(self):
          """ :class:`~lib.alignments.Alignments`: The alignments for the preview faces """
          return self._alignments
  
      @property
      def predictor(self):
          """ :class:`~scripts.convert.Predict`: The Predictor for the Faceswap model """
 
</s> remove     def landmarks(self):
        """ dict: The :class:`numpy.ndarray` aligned landmarks for keys "a" and "b" """
        return self._landmarks
 </s> add     def aligned_faces(self):
        """ dict: The "a", "b" keys for each side, containing a sub-dictionary with the
        filename as key and :class:`lib.faces.detected_face.aligned` object as value. """
        return self._aligned_faces

    @property
    def versions(self):
        """ dict: The "a", "b" keys for each side, with value being the alignment file version
        that provided the data. This is used to crop the faces correctly based on whether the
        extracted faces are legacy or full-head extracts. """
        return self._alignments_version </s> remove         :class:`~lib.faces_detect.DetectedFace` stored within the alignments file. """
 </s> add         :class:`~lib.align.DetectedFace` stored within the alignments file. """ </s> remove         """ list: The sorted list of all existing session ids `int`s in the state file """
 </s> add         """ list: The sorted list of all existing session ids in the state file """ </s> remove         """ list: The most up to date full list of :class:`~lib.faces_detect.DetectedFace`
 </s> add         """ list: The most up to date full list of :class:`~lib.align.DetectedFace`
        """ :class:`~lib.align.Alignments`: The alignments for the preview faces """
          return self._predicted_images
  
      @property
      def alignments(self):
        """ :class:`~lib.align.Alignments`: The alignments for the preview faces """
          return self._alignments
  
      @property
      def predictor(self):
          """ :class:`~scripts.convert.Predict`: The Predictor for the Faceswap model """
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/preview/preview.py