                                          coverage_ratio=self.coverage_ratio,
                                          dtype="float32",
                                          is_aligned=self._image_is_aligned)
                  batch.setdefault("detected_faces", []).append(face)
                  batch.setdefault("filename", []).append(item.filename)
                  idx += 1
                  if idx == self.batchsize:
                      frame_faces = len(item.detected_faces)
                      if f_idx + 1 != frame_faces:
                          self._rollover = ExtractMedia(
 
</s> remove                 face.load_feed_face(item.get_image_copy(self.color_format),
                                    size=self.input_size,
                                    coverage_ratio=1.0,
                                    dtype="float32",
                                    is_aligned_face=self._image_is_aligned)

 </s> add                 feed_face = AlignedFace(face.landmarks_xy,
                                        image=item.get_image_copy(self.color_format),
                                        centering="face",
                                        size=self.input_size,
                                        coverage_ratio=self.coverage_ratio,
                                        dtype="float32",
                                        is_aligned=self._image_is_aligned) </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                         self.merge_alignment(frame, alignment, idx)
 </s> add                         self._merge_alignment(frame, alignment, idx) </s> remove             self.alignments.data[key]["faces"] = sorted_alignments
 </s> add             self._alignments.data[key]["faces"] = sorted_alignments </s> remove                         if self.check_exists(frame, alignment, idx):
 </s> add                         if self._check_exists(frame, alignment, idx):
                batch.setdefault("feed_faces", []).append(feed_face)
                                          coverage_ratio=self.coverage_ratio,
                                          dtype="float32",
                                          is_aligned=self._image_is_aligned)
                  batch.setdefault("detected_faces", []).append(face)
                batch.setdefault("feed_faces", []).append(feed_face)
                  batch.setdefault("filename", []).append(item.filename)
                  idx += 1
                  if idx == self.batchsize:
                      frame_faces = len(item.detected_faces)
                      if f_idx + 1 != frame_faces:
                          self._rollover = ExtractMedia(
keep keep keep add keep 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/extract/mask/_base.py