                                    force=True)
                  image = face.aligned_face
                  face.aligned = dict()
              else:
                  image = face.thumbnail
              tk_face = self._get_tk_face_object(face, image, is_active)
              self._tk_faces[key] = tk_face
          else:
              logger.trace("tk_face exists: %s", key)
              tk_face = self._tk_faces[key]
 
</s> remove                 face.load_aligned(self._active_frame.current_frame,
                                  size=self.face_size,
                                  force=True)
                image = face.aligned_face
                face.aligned = dict()
 </s> add                 image = AlignedFace(face.landmarks_xy,
                                    image=self._active_frame.current_frame,
                                    centering=self._centering,
                                    size=self.face_size).face </s> remove             batch_src_pts = self._get_landmarks(filenames, side)
            batch_dst_pts = self._get_closest_match(filenames, side, batch_src_pts)
            warp_kwargs = dict(batch_src_points=batch_src_pts,
                               batch_dst_points=batch_dst_pts)
 </s> add             batch_dst_pts = self._get_closest_match(filenames, side, landmarks)
            warp_kwargs = dict(batch_src_points=landmarks, batch_dst_points=batch_dst_pts) </s> remove         face.load_aligned(self._globals.current_frame["image"], 80, force=True)
        jpg = cv2.imencode(".jpg", face.aligned_face, [cv2.IMWRITE_JPEG_QUALITY, 60])[1]
        face.thumbnail = jpg
        face.aligned = dict()
 </s> add         aligned = AlignedFace(face.landmarks_xy,
                              image=self._globals.current_frame["image"],
                              centering="head",
                              size=96)
        face.thumbnail = generate_thumbnail(aligned.face, size=96) </s> remove         images = [self._resize_sample(side, image, target_size) for image in images]
        if target_size != full_size:
            images = [self._overlay_foreground(frame, image) for image in images]
 </s> add         images = [self._overlay_foreground(full.copy(), image) for image in images]
 </s> remove             new_size = int(full_size * self._scaling)
 </s> add             new_size = int(images[0].shape[1] * self._scaling)
                image = AlignedFace(face.landmarks_xy,
                                    image=cv2.imdecode(face.thumbnail, cv2.IMREAD_UNCHANGED),
                                    centering=self._centering,
                                    size=self.face_size,
                                    is_aligned=True).face
                                    force=True)
                  image = face.aligned_face
                  face.aligned = dict()
              else:
                image = AlignedFace(face.landmarks_xy,
                                    image=cv2.imdecode(face.thumbnail, cv2.IMREAD_UNCHANGED),
                                    centering=self._centering,
                                    size=self.face_size,
                                    is_aligned=True).face
              tk_face = self._get_tk_face_object(face, image, is_active)
              self._tk_faces[key] = tk_face
          else:
              logger.trace("tk_face exists: %s", key)
              tk_face = self._tk_faces[key]
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/manual/faceviewer/viewport.py