          logger.debug("side: '%s', width: %s",
                       side, width)
          titles = ("Original", "Swap") if side == "a" else ("Swap", "Original")
          side = side.upper()
          height = int(64 * self._scaling)
          total_width = width * 3
          logger.debug("height: %s, total_width: %s", height, total_width)
          font = cv2.FONT_HERSHEY_SIMPLEX
          texts = ["{} ({})".format(titles[0], side),
                   "{0} > {0}".format(titles[0]),
 
</s> remove         text_sizes = [cv2.getTextSize(texts[idx], font, self._scaling * 0.8, 1)[0]
 </s> add         scaling = (width / 144) * 0.45
        text_sizes = [cv2.getTextSize(texts[idx], font, scaling, 1)[0] </s> remove         landmarks = self._landmarks["a"] if side == "b" else self._landmarks["b"]
        closest_hashes = [self._nearest_landmarks.get(filename) for filename in filenames]
 </s> add         lm_side = "a" if side == "b" else "b"
        landmarks = {key: aligned.landmarks
                     for key, aligned in self._aligned_faces[lm_side].items()}
        closest_hashes = [self._cache["nearest_landmarks"].get(filename) for filename in filenames] </s> remove         retval = {side: self._transform_landmarks(side, detected_faces)
                  for side, detected_faces in self._detected_faces.items()}
        logger.trace(retval)
 </s> add         retval = dict()
        for side, detected_faces in self._detected_faces.items():
            centering = "legacy" if self._alignments_version[side] == 1.0 else "head"
            logger.debug("side: %s, centering: %s", side, centering)
            ret_side = dict()
            for fhash, face in detected_faces.items():
                face.load_aligned(None, size=self._training_size, centering=centering)
                for filename in self._hash_to_filenames(side, fhash):
                    ret_side[filename] = face.aligned
            retval[side] = ret_side </s> remove         full_size = full.shape[1]
        target_size = int(full_size * self._coverage_ratio)
        if target_size != full_size:
            frame = self._frame_overlay(full, target_size, (0, 0, 255))

 </s> add  </s> remove             new_size = int(full_size * self._scaling)
 </s> add             new_size = int(images[0].shape[1] * self._scaling)
        height = int(width / 4.5)
          logger.debug("side: '%s', width: %s",
                       side, width)
          titles = ("Original", "Swap") if side == "a" else ("Swap", "Original")
          side = side.upper()
        height = int(width / 4.5)
          total_width = width * 3
          logger.debug("height: %s, total_width: %s", height, total_width)
          font = cv2.FONT_HERSHEY_SIMPLEX
          texts = ["{} ({})".format(titles[0], side),
                   "{0} > {0}".format(titles[0]),
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 
plugins/train/trainer/_base.py