      def _total_columns(self):
          """ Return the total number of images that are being displayed """
          return len(self.source)
  
      def set_display_dimensions(self, dimensions):
          """ Adjust the size of the frame that will hold the preview samples.
  
          Parameters
          ----------
          dimensions: tuple
 
</s> remove         This is the red border that appears in the preview images.
 </s> add         This applies the red border that appears in the preview images. </s> remove     @classmethod
    def _frame_overlay(cls, images, target_size, color):
 </s> add     def _process_full(self, side, images, prediction_size, color): </s> remove             The samples to apply the frame to
        target_size: int
            The size of the sample within the full size frame
 </s> add             The input training images to to process
        prediction_size: int
            The size of the predicted output from the model </s> remove         mask: :class:`~lib.faces_detect.Mask`
 </s> add         mask: :class:`~lib.align.Mask`
    def set_centering(self, centering):
        """ The centering that the model uses is not known at initialization time.
        Set :attr:`_centering` when the model has been loaded.

        Parameters
        ----------
        centering: str
            The centering that the model was trained on
        """
        self._centering = centering

      def _total_columns(self):
          """ Return the total number of images that are being displayed """
          return len(self.source)
  
    def set_centering(self, centering):
        """ The centering that the model uses is not known at initialization time.
        Set :attr:`_centering` when the model has been loaded.

        Parameters
        ----------
        centering: str
            The centering that the model was trained on
        """
        self._centering = centering

      def set_display_dimensions(self, dimensions):
          """ Adjust the size of the frame that will hold the preview samples.
  
          Parameters
          ----------
          dimensions: tuple
keep keep keep add keep 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