              matrix = detected_face.aligned["matrix"]
              self._faces.setdefault("filenames",
                                     list()).append(os.path.splitext(image["filename"])[0])
              self._faces.setdefault("matrix", list()).append(matrix)
              self._faces.setdefault("src", list()).append(AlignerExtract().transform(
                  src_img,
                  matrix,
                  self._size,
                  self._padding))
          self.update_source = False
          logger.debug("Updated source faces")
  
      def _crop_destination_faces(self):
          """ Extract the swapped faces from the swapped frames using the source face destination
 
</s> remove             detected_face.load_aligned(src_img, self._size)
            matrix = detected_face.aligned["matrix"]
 </s> add             detected_face.load_aligned(src_img, size=self._size, centering=self._centering)
            matrix = detected_face.aligned.matrix </s> remove             self._faces["dst"].append(AlignerExtract().transform(
                image,
                self._faces["matrix"][idx],
                self._size,
                self._padding))
 </s> add             self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding)) </s> remove         self.final_alignments.data.setdefault(frame,
                                              dict()).setdefault("faces", []).append(alignment)
 </s> add         self._final_alignments.data.setdefault(frame,
                                               dict()).setdefault("faces", []).append(alignment) </s> remove     def merge_alignment(self, frame, alignment, idx):
        """ Merge the source alignment into the destination """
 </s> add     def _merge_alignment(self, frame, alignment, idx):
        """ Merge the source alignment into the destination final alignments dictionary

        Parameters
        ----------
        frame: str
            The frame name for the current frame being processed
        alignment: dict
            The alignment dictionary for the current face in the frame
        index: int
            The face index for the current face in the frame
        """ </s> remove     def check_exists(self, frame, alignment, idx):
        """ Check whether this face already exists """
 </s> add     def _check_exists(self, frame, alignment, index):
        """ Remove duplicate faces from the alignments file when an instance of the face already
        exists.

        Parameters
        ----------
        frame: str
            The frame name for the current frame being processed
        alignment: dict
            The alignment dictionary for the current face in the frame
        index: int
            The face index for the current face in the frame

        Returns
        -------
        bool
            ``True`` if the face has been already been seen, otherwise ``False``
        """
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
              matrix = detected_face.aligned["matrix"]
              self._faces.setdefault("filenames",
                                     list()).append(os.path.splitext(image["filename"])[0])
              self._faces.setdefault("matrix", list()).append(matrix)
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
            self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding))
          self.update_source = False
          logger.debug("Updated source faces")
  
      def _crop_destination_faces(self):
          """ Extract the swapped faces from the swapped frames using the source face destination
keep keep keep keep 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/preview/preview.py