          self._input_size = input_size
          self._threshold = threshold
  
      @staticmethod
      def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
          """ Keras R-Network Definition for MTCNN """
          input_ = Input(shape=(24, 24, 3))
          var_x = Conv2D(28, (3, 3), strides=1, padding='valid', name='conv1')(input_)
          var_x = PReLU(shared_axes=[1, 2], name='prelu1')(var_x)
          var_x = MaxPool2D(pool_size=3, strides=2, padding='same')(var_x)
 
</s> remove     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition() -> tuple[list[Tensor], list[Tensor]]: </s> remove     def model_definition() -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition() -> tuple[list[Tensor], list[Tensor]]: </s> remove     def model_definition(self) -> T.Tuple[T.List[Tensor], T.List[Tensor]]:
 </s> add     def model_definition(self) -> tuple[list[Tensor], list[Tensor]]: </s> remove         self._pnet_input: T.Optional[T.List[np.ndarray]] = None
 </s> add         self._pnet_input: list[np.ndarray] | None = None </s> remove def _get_upscale_layer(method: Literal["resize_images", "subpixel", "upscale_dny", "upscale_fast",
                                       "upscale_hybrid", "upsample2d"],
 </s> add def _get_upscale_layer(method: T.Literal["resize_images", "subpixel", "upscale_dny",
                                         "upscale_fast", "upscale_hybrid", "upsample2d"],
    def model_definition() -> tuple[list[Tensor], list[Tensor]]:
          self._input_size = input_size
          self._threshold = threshold
  
      @staticmethod
    def model_definition() -> tuple[list[Tensor], list[Tensor]]:
          """ Keras R-Network Definition for MTCNN """
          input_ = Input(shape=(24, 24, 3))
          var_x = Conv2D(28, (3, 3), strides=1, padding='valid', name='conv1')(input_)
          var_x = PReLU(shared_axes=[1, 2], name='prelu1')(var_x)
          var_x = MaxPool2D(pool_size=3, strides=2, padding='same')(var_x)
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/detect/mtcnn.py