          Parameters
          ----------
          batch : dict
              The final ``dict`` from the `plugin` process. It must contain the `keys`:
              ``detected_faces``, ``filename``
  
          Yields
          ------
          :class:`~plugins.extract.pipeline.ExtractMedia`
              The :attr:`DetectedFaces` list will be populated for this class with the bounding
 
</s> remove         for mask, face in zip(batch["prediction"], batch["detected_faces"]):
 </s> add         for mask, face, feed_face in zip(batch["prediction"],
                                         batch["detected_faces"],
                                         batch["feed_faces"]): </s> remove         each :class:`~lib.faces_detect.DetectedFace` object.
 </s> add         each :class:`~lib.align.DetectedFace` object. </s> remove         >>>  'detected_faces': [[<lib.faces_detect.DetectedFace objects]]}
 </s> add         >>>  'detected_faces': [[<lib.align.DetectedFace objects]]} </s> remove             The incoming image and list of :class:`~lib.faces_detect.DetectedFace` objects
 </s> add             The incoming image, list of :class:`~lib.align.DetectedFace` objects and list of
            :class:`~lib.align.AlignedFace` objects for the feed face(s) and list of
            :class:`~lib.align.AlignedFace` objects for the reference face(s) </s> remove     def data_from_dfl(self, alignments, faces_folder):
        """ Set :attr:`data` from alignments extracted from a Deep Face Lab face set.

        Parameters
        ----------
        alignments: dict
            The extracted alignments from a Deep Face Lab face set
        faces_folder: str
            The folder that the faces are in, where the newly generated alignments file will
            be saved
        """
        self._data = alignments
        self.set_filename(self._get_location(faces_folder, "alignments"))

 </s> add 
            ``detected_faces``, ``filename``, ``feed_faces``
          Parameters
          ----------
          batch : dict
              The final ``dict`` from the `plugin` process. It must contain the `keys`:
            ``detected_faces``, ``filename``, ``feed_faces``
  
          Yields
          ------
          :class:`~plugins.extract.pipeline.ExtractMedia`
              The :attr:`DetectedFaces` list will be populated for this class with the bounding
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