          """ Training only.
              Return a dict of config items with their set values for items
              that can be altered after the model has been created """
          retval = dict()
          for sect in ("global", self.section):
              if sect not in self.defaults:
                  continue
              for key, val in self.defaults[sect].items():
                  if key == "helptext" or val["fixed"]:
                      continue
 
</s> remove         # Add any new items to state config for legacy purposes
 </s> add         # Add any new items to state config for legacy purposes and set sensible defaults for
        # any values that may have been changed in the config file which could be detrimental.
        legacy_defaults = dict(centering="legacy",
                               mask_loss_function="mse",
                               l2_reg_term=100,
                               optimizer="adam",
                               mixed_precision=False) </s> remove                 logger.info("Adding new config item to state file: '%s': '%s'", key, val)
                self._config[key] = val
 </s> add                 setting = legacy_defaults.get(key, val)
                logger.info("Adding new config item to state file: '%s': '%s'", key, setting)
                self._config[key] = setting </s> remove         retval = dict()
 </s> add  </s> remove         items = sorted([item for item in self.process_folder()],
                       key=lambda x: (x["frame_name"]))
 </s> add         items = sorted(self.process_folder(), key=lambda x: (x["frame_name"]))
        sections = [sect for sect in self.config.sections() if sect.startswith("global")]
        for sect in sections + [self.section]:
          """ Training only.
              Return a dict of config items with their set values for items
              that can be altered after the model has been created """
          retval = dict()
        sections = [sect for sect in self.config.sections() if sect.startswith("global")]
        for sect in sections + [self.section]:
              if sect not in self.defaults:
                  continue
              for key, val in self.defaults[sect].items():
                  if key == "helptext" or val["fixed"]:
                      continue
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 
lib/config.py