          self._faces = dict()
          for image in self.source:
              detected_face = image["detected_faces"][0]
              src_img = image["image"]
              detected_face.load_aligned(src_img, self._size)
              matrix = detected_face.aligned["matrix"]
              self._faces.setdefault("filenames",
                                     list()).append(os.path.splitext(image["filename"])[0])
              self._faces.setdefault("matrix", list()).append(matrix)
              self._faces.setdefault("src", list()).append(AlignerExtract().transform(
                  src_img,
 
</s> remove             self._faces.setdefault("src", list()).append(AlignerExtract().transform(
                src_img,
                matrix,
                self._size,
                self._padding))
 </s> add             self._faces.setdefault("src", list()).append(transform_image(src_img,
                                                                         matrix,
                                                                         self._size,
                                                                         self._padding)) </s> remove             if not np.any(face.aligned_landmarks):  # This will be None on a resize
                face.load_aligned(None, size=min(self._globals.frame_display_dims))
            landmark = face.aligned_landmarks[landmark_index]
 </s> add             aligned = AlignedFace(face.landmarks_xy,
                                  centering="face",
                                  size=min(self._globals.frame_display_dims))
            landmark = aligned.landmarks[landmark_index] </s> remove                 image = face.thumbnail
 </s> add                 image = AlignedFace(face.landmarks_xy,
                                    image=cv2.imdecode(face.thumbnail, cv2.IMREAD_UNCHANGED),
                                    centering=self._centering,
                                    size=self.face_size,
                                    is_aligned=True).face </s> remove             matrix = AlignerExtract.transform_matrix(face.aligned["matrix"],
                                                     face.aligned["size"],
                                                     face.aligned["padding"])
 </s> add             matrix = aligned.adjusted_matrix
            detected_face.load_aligned(src_img, size=self._size, centering=self._centering)
            matrix = detected_face.aligned.matrix
          self._faces = dict()
          for image in self.source:
              detected_face = image["detected_faces"][0]
              src_img = image["image"]
            detected_face.load_aligned(src_img, size=self._size, centering=self._centering)
            matrix = detected_face.aligned.matrix
            detected_face.load_aligned(src_img, size=self._size, centering=self._centering)
            matrix = detected_face.aligned.matrix
              self._faces.setdefault("filenames",
                                     list()).append(os.path.splitext(image["filename"])[0])
              self._faces.setdefault("matrix", list()).append(matrix)
              self._faces.setdefault("src", list()).append(AlignerExtract().transform(
                  src_img,
keep keep keep keep 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 
tools/preview/preview.py