              detected_faces = self._detect_faces(filename, image)
          logger.trace("Got %s faces for: '%s'", len(detected_faces), filename)  # type:ignore
          return detected_faces
  
      def _alignments_faces(self, frame_name: str, image: np.ndarray) -> List[DetectedFace]:
          """ Return detected faces from an alignments file.
  
          Parameters
          ----------
          frame_name: str
 
</s> remove     def _get_detected_faces(self, filename: str, image: np.ndarray) -> List[DetectedFace]:
 </s> add     def _get_detected_faces(self, filename: str, image: np.ndarray) -> T.List[DetectedFace]: </s> remove     def _detect_faces(self, filename: str, image: np.ndarray) -> List[DetectedFace]:
 </s> add     def _detect_faces(self, filename: str, image: np.ndarray) -> T.List[DetectedFace]: </s> remove                       faces: List[DetectedFace],
                      sub_folders: List[Optional[str]],
                      should_filter: List[bool]) -> List[DetectedFace]:
 </s> add                       faces: T.List[DetectedFace],
                      sub_folders: T.List[T.Optional[str]],
                      should_filter: T.List[bool]) -> T.List[DetectedFace]: </s> remove     def _compile_feed_faces(feed_faces: List[AlignedFace]) -> np.ndarray:
 </s> add     def _compile_feed_faces(feed_faces: T.List[AlignedFace]) -> np.ndarray: </s> remove     def _queue_out_frames(self, batch: List[ConvertItem], swapped_faces: np.ndarray) -> None:
 </s> add     def _queue_out_frames(self, batch: T.List[ConvertItem], swapped_faces: np.ndarray) -> None:
    def _alignments_faces(self, frame_name: str, image: np.ndarray) -> T.List[DetectedFace]:
              detected_faces = self._detect_faces(filename, image)
          logger.trace("Got %s faces for: '%s'", len(detected_faces), filename)  # type:ignore
          return detected_faces
  
    def _alignments_faces(self, frame_name: str, image: np.ndarray) -> T.List[DetectedFace]:
          """ Return detected faces from an alignments file.
  
          Parameters
          ----------
          frame_name: str
keep keep keep keep replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
scripts/convert.py