      def sort_color(self):
          """ Score by channel average intensity """
          logger.info("Sorting by channel average intensity...")
          desired_channel = {'gray': 0, 'luma': 0, 'orange': 1, 'green': 2}
          method = self.args.color_method
          channel_to_sort = next(v for (k, v) in desired_channel.items() if method.endswith(k))
          filename_list, image_list = self._get_images()
  
          logger.info("Converting to appropriate colorspace...")
          same_size = all(img.size == image_list[0].size for img in image_list)
 
</s> remove         indices = self.vgg_face.sorted_similarity(preds, method="ward")
 </s> add         indices = self._vgg_face.sorted_similarity(np.array(preds), method="ward") </s> remove         mask, raw_mask = self._adjustments["mask"].run(detected_face, predicted_mask)
 </s> add         if self._centering == "legacy":
            crop_offset = reference_face.pose.offset["face"] * -1
        else:
            crop_offset = np.array((0, 0))
        mask, raw_mask = self._adjustments["mask"].run(detected_face, crop_offset, predicted_mask) </s> remove                 self.args.min_threshold = 0.3
 </s> add                 self._args.min_threshold = 0.3 </s> remove         # TODO This should be set in init
        self._loader = ImagesLoader(self.args.input_dir)

 </s> add         self._loader = FacesLoader(self._args.input_dir)  # TODO This should be set in init
        ratio = _EXTRACT_RATIOS["legacy"] / _EXTRACT_RATIOS["head"] </s> remove                 self.args.min_threshold = 7.2
 </s> add                 self._args.min_threshold = 7.2
        method = self._args.color_method
      def sort_color(self):
          """ Score by channel average intensity """
          logger.info("Sorting by channel average intensity...")
          desired_channel = {'gray': 0, 'luma': 0, 'orange': 1, 'green': 2}
        method = self._args.color_method
          channel_to_sort = next(v for (k, v) in desired_channel.items() if method.endswith(k))
          filename_list, image_list = self._get_images()
  
          logger.info("Converting to appropriate colorspace...")
          same_size = all(img.size == image_list[0].size for img in image_list)
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/sort/sort.py