          self._faces["dst"] = list()
          destination = self.destination if self.destination else [np.ones_like(src["image"])
                                                                   for src in self.source]
          for idx, image in enumerate(destination):
              self._faces["dst"].append(AlignerExtract().transform(
                  image,
                  self._faces["matrix"][idx],
                  self._size,
                  self._padding))
          logger.debug("Updated destination faces")
  
      def _header_text(self):
          """ Create the header text displaying the frame name for each preview column.
  
 
</s> remove             self._faces.setdefault("src", list()).append(AlignerExtract().transform(
                src_img,
                matrix,
                self._size,
                self._padding))
 </s> add             self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding)) </s> remove         new_images = list()
        for idx, img in enumerate(backgrounds):
            img[offset:offset + foregrounds[idx].shape[0],
                offset:offset + foregrounds[idx].shape[1], :3] = foregrounds[idx]
            new_images.append(img)
        retval = np.array(new_images)
        logger.debug("Overlayed foreground. Shape: %s", retval.shape)
        return retval
 </s> add         for foreground, background in zip(foregrounds, backgrounds):
            background[offset:offset + foreground.shape[0],
                       offset:offset + foreground.shape[1], :3] = foreground
        logger.debug("Overlayed foreground. Shape: %s", backgrounds.shape)
        return backgrounds </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         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                            "Skipping", frame, idx, existing_frame)
 </s> add                            "Skipping", frame, index, existing_frame)
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
          self._faces["dst"] = list()
          destination = self.destination if self.destination else [np.ones_like(src["image"])
                                                                   for src in self.source]
          for idx, image in enumerate(destination):
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
            self._faces["dst"].append(transform_image(image,
                                                      self._faces["matrix"][idx],
                                                      self._size,
                                                      self._padding))
          logger.debug("Updated destination faces")
  
      def _header_text(self):
          """ Create the header text displaying the frame name for each preview column.
  
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