                  continue
  
              output = self._extract_media.pop(filename)
              output.add_detected_faces(self._output_faces)
              self._output_faces = []
              logger.trace("Yielding: (filename: '%s', image: %s, "  # type:ignore
                           "detected_faces: %s)", output.filename, output.image_shape,
 
</s> remove                      "detected_faces: %s)", self.__class__.__name__, filename, image.shape,
                     detected_faces)
 </s> add                      "detected_faces: %s, is_aligned: %s)", self.__class__.__name__, filename,
                     image.shape, detected_faces, is_aligned) </s> remove                  detected_faces: Optional[List["DetectedFace"]] = None) -> None:
 </s> add                  detected_faces: Optional[List["DetectedFace"]] = None,
                 is_aligned: bool = False) -> None: </s> remove     def add_frame_metadata(self, metadata: Dict[str, Any]) -> None:
 </s> add     def add_frame_metadata(self, metadata: "PNGHeaderSourceDict") -> None: </s> remove                  disable_filter: bool = False,
                 image_is_aligned: bool = False,) -> None:
 </s> add                  disable_filter: bool = False) -> None: </s> remove                      "min_size: %s, normalize_method: %s, re_feed: %s, disable_filter: %s, "
                     "image_is_aligned: %s)", self.__class__.__name__, detector, aligner, masker,
                     recognition, configfile, multiprocess, exclude_gpus, rotate_images, min_size,
                     normalize_method, re_feed, disable_filter, image_is_aligned)
 </s> add                      "min_size: %s, normalize_method: %s, re_feed: %s, disable_filter: %s, )",
                     self.__class__.__name__, detector, aligner, masker, recognition, configfile,
                     multiprocess, exclude_gpus, rotate_images, min_size, normalize_method,
                     re_feed, disable_filter)
            self._output_faces = self._filter(self._output_faces, output.sub_folders)

                  continue
  
              output = self._extract_media.pop(filename)
            self._output_faces = self._filter(self._output_faces, output.sub_folders)

              output.add_detected_faces(self._output_faces)
              self._output_faces = []
              logger.trace("Yielding: (filename: '%s', image: %s, "  # type:ignore
                           "detected_faces: %s)", output.filename, output.image_shape,
keep keep add keep keep keep keep
 Update Face Filter
  - Remove old face filter
  - plugins.extract.pipeline: Expose plugins directly
  - Change `is_aligned` from plugin level to ExtractMedia level
  - Allow extract pipeline to take faceswap aligned images
  - Add ability for recognition plugins to accept aligned faces as input
  - Add face filter to recognition plugin
  - Move extractor pipeline IO ops to own class 
plugins/extract/recognition/_base.py