          logger.debug("Putting EOF")
          self._out_queue.put("EOF")
          logger.debug("Load queue complete")
  
      def _process_batch(self, batch: List[ConvertItem], faces_seen: int):
          """ Predict faces on the given batch of images and queue out to patch thread
  
          Parameters
          ----------
          batch: list
 
</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     def detect_faces(self, batch: np.ndarray) -> Tuple[np.ndarray, Tuple[np.ndarray]]:
 </s> add     def detect_faces(self, batch: np.ndarray) -> T.Tuple[np.ndarray, T.Tuple[np.ndarray]]: </s> remove     def load_queue(self) -> "EventQueue":
 </s> add     def load_queue(self) -> EventQueue: </s> remove     def finalize_predictions(self, bounding_boxes_scales: List[np.ndarray]) -> np.ndarray:
 </s> add     def finalize_predictions(self, bounding_boxes_scales: T.List[np.ndarray]) -> np.ndarray: </s> remove         batch: List[ConvertItem] = []
 </s> add         batch: T.List[ConvertItem] = []
    def _process_batch(self, batch: T.List[ConvertItem], faces_seen: int):
          logger.debug("Putting EOF")
          self._out_queue.put("EOF")
          logger.debug("Load queue complete")
  
    def _process_batch(self, batch: T.List[ConvertItem], faces_seen: int):
          """ Predict faces on the given batch of images and queue out to patch thread
  
          Parameters
          ----------
          batch: list
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