          :class:`~plugins.extract.pipeline.ExtractMedia`
              The :attr:`DetectedFaces` list will be populated for this class with the bounding
              boxes, landmarks and masks for the detected faces found in the frame.
          """
          for mask, face in zip(batch["prediction"], batch["detected_faces"]):
              face.add_mask(self._storage_name,
                            mask,
                            face.feed_matrix,
                            face.feed_interpolators[1],
                            storage_size=self._storage_size)
 
</s> remove                           face.feed_matrix,
                          face.feed_interpolators[1],
 </s> add                           feed_face.adjusted_matrix,
                          feed_face.interpolators[1], </s> remove             ``detected_faces``, ``filename``
 </s> add             ``detected_faces``, ``filename``, ``feed_faces`` </s> remove             face.feed = dict()
 </s> add         del batch["feed_faces"] </s> remove         """ Update the bounding box for the :class:`~lib.faces_detect.DetectedFace` object at the
 </s> add         """ Update the bounding box for the :class:`~lib.align.DetectedFace` object at the </s> remove         detected_face: :class:`~lib.faces_detect.DetectedFace`
 </s> add         detected_face: :class:`~lib.align.DetectedFace`
        for mask, face, feed_face in zip(batch["prediction"],
                                         batch["detected_faces"],
                                         batch["feed_faces"]):
          :class:`~plugins.extract.pipeline.ExtractMedia`
              The :attr:`DetectedFaces` list will be populated for this class with the bounding
              boxes, landmarks and masks for the detected faces found in the frame.
          """
        for mask, face, feed_face in zip(batch["prediction"],
                                         batch["detected_faces"],
                                         batch["feed_faces"]):
              face.add_mask(self._storage_name,
                            mask,
                            face.feed_matrix,
                            face.feed_interpolators[1],
                            storage_size=self._storage_size)
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/extract/mask/_base.py