              retval.append((max(int(start), minframe), min(int(end), maxframe)))
          logger.debug("frame ranges: %s", retval)
          return retval
  
      def _load_extractor(self) -> Optional[Extractor]:
          """ Load the CV2-DNN Face Extractor Chain.
  
          For On-The-Fly conversion we use a CPU based extractor to avoid stacking the GPU.
          Results are poor.
  
 
</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 _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: </s> remove             retval = KerasModel(model_inputs, model, name=f"{saved_model.name}_inference")
 </s> add             retval = KModel(model_inputs, model, name=f"{saved_model.name}_inference") </s> remove     def _load_model(self) -> "ModelBase":
 </s> add     def _load_model(self) -> ModelBase: </s> remove         info="[Not PlaidML] MTCNN detector still runs fairly quickly on CPU on some setups. "
 </s> add         info="MTCNN detector still runs fairly quickly on CPU on some setups. "
    def _load_extractor(self) -> T.Optional[Extractor]:
              retval.append((max(int(start), minframe), min(int(end), maxframe)))
          logger.debug("frame ranges: %s", retval)
          return retval
  
    def _load_extractor(self) -> T.Optional[Extractor]:
          """ Load the CV2-DNN Face Extractor Chain.
  
          For On-The-Fly conversion we use a CPU based extractor to avoid stacking the GPU.
          Results are poor.
  
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