  
          Returns
          -------
          dict:
              Includes the key `landmarks` if landmarks are required for training, `masks` if masks
              are required for training, `masks_eye` if eye masks are required and `masks_mouth` if
              mouth masks are required. """
          retval = dict()
          penalized_loss = self._model.config["penalized_mask_loss"]
  
          if not any([self._model.config["learn_mask"],
                      penalized_loss,
                      self._model.config["eye_multiplier"] > 1,
 
</s> remove         if not any([self._model.config["learn_mask"],
                    penalized_loss,
                    self._model.config["eye_multiplier"] > 1,
                    self._model.config["mouth_multiplier"] > 1,
                    self._model.command_line_arguments.warp_to_landmarks]):
            return retval

 </s> add  </s> remove         A dictionary containing landmarks and masks if these are required for training:
 </s> add         A dictionary containing aligned face information and masks if these are required for
        training: </s> remove         A dictionary containing landmarks and masks if these are required for training for each
        side
 </s> add         A dictionary containing aligned face data, extract version information and masks if these
        are required for training for each side </s> remove         ``False`` if the standard random warp method should be used. If ``True`` then
        the key `landmarks` must be provided in the alignments dictionary.
 </s> add         ``False`` if the standard random warp method should be used. </s> remove     def _get_landmarks(self):
        """ Pre-generate landmarks as they are needed for both warp to landmarks and eye/mouth
        masks.
 </s> add     def _get_aligned_faces(self):
        """ Pre-generate aligned faces as they are needed for all training functions.
            Includes the key `aligned_faces` holding aligned face information and the key
            `versions` indicating the alignments file versions that the faces have come from.
            In addition, the following optional keys are provided: `masks` if masks are required
            for training, `masks_eye` if eye masks are required and `masks_mouth` if mouth masks
            are required. """
  
          Returns
          -------
          dict:
            Includes the key `aligned_faces` holding aligned face information and the key
            `versions` indicating the alignments file versions that the faces have come from.
            In addition, the following optional keys are provided: `masks` if masks are required
            for training, `masks_eye` if eye masks are required and `masks_mouth` if mouth masks
            are required. """
            Includes the key `aligned_faces` holding aligned face information and the key
            `versions` indicating the alignments file versions that the faces have come from.
            In addition, the following optional keys are provided: `masks` if masks are required
            for training, `masks_eye` if eye masks are required and `masks_mouth` if mouth masks
            are required. """
            Includes the key `aligned_faces` holding aligned face information and the key
            `versions` indicating the alignments file versions that the faces have come from.
            In addition, the following optional keys are provided: `masks` if masks are required
            for training, `masks_eye` if eye masks are required and `masks_mouth` if mouth masks
            are required. """
            Includes the key `aligned_faces` holding aligned face information and the key
            `versions` indicating the alignments file versions that the faces have come from.
            In addition, the following optional keys are provided: `masks` if masks are required
            for training, `masks_eye` if eye masks are required and `masks_mouth` if mouth masks
            are required. """
          penalized_loss = self._model.config["penalized_mask_loss"]
  
          if not any([self._model.config["learn_mask"],
                      penalized_loss,
                      self._model.config["eye_multiplier"] > 1,
keep keep keep keep 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 
plugins/train/trainer/_base.py