      # <<< GET MODEL >>> #
      def init_model(self) -> None:
          """ Initialize VGG Face 2 Model. """
          assert isinstance(self.model_path, str)
          model_kwargs = dict(custom_objects={'L2_normalize': L2_normalize})
          self.model = KSession(self.name,
                                self.model_path,
                                model_kwargs=model_kwargs,
                                allow_growth=self.config["allow_growth"],
                                exclude_gpus=self._exclude_gpus,
 
</s> remove     def _model_definition(self) -> T.Tuple[Tensor, T.List[Tensor]]:
 </s> add     def _model_definition(self) -> tuple[Tensor, list[Tensor]]: </s> remove                      image: Optional[np.ndarray],
 </s> add                      image: np.ndarray | None, </s> remove         self._tf_devices: List[Any] = []
 </s> add         self._tf_devices: list[T.Any] = [] </s> remove         self._faces_per_filename: Dict[str, int] = {}  # Tracking for recompiling batches
        self._rollover: Optional[ExtractMedia] = None  # batch rollover items
        self._output_faces: List["DetectedFace"] = []  # Recompiled output faces from plugin
 </s> add         self._faces_per_filename: dict[str, int] = {}  # Tracking for recompiling batches
        self._rollover: ExtractMedia | None = None  # batch rollover items
        self._output_faces: list[DetectedFace] = []  # Recompiled output faces from plugin </s> remove     def _model_definition(cls) -> T.Tuple[Tensor, Tensor]:
 </s> add     def _model_definition(cls) -> tuple[Tensor, Tensor]:
        model_kwargs = {"custom_objects": {"L2_normalize": L2_normalize}}
      # <<< GET MODEL >>> #
      def init_model(self) -> None:
          """ Initialize VGG Face 2 Model. """
          assert isinstance(self.model_path, str)
        model_kwargs = {"custom_objects": {"L2_normalize": L2_normalize}}
          self.model = KSession(self.name,
                                self.model_path,
                                model_kwargs=model_kwargs,
                                allow_growth=self.config["allow_growth"],
                                exclude_gpus=self._exclude_gpus,
keep keep keep keep replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
plugins/extract/recognition/vgg_face2.py