  
      def process_input(self, batch: BatchType) -> None:
          """ Compile the detected faces for prediction """
          assert isinstance(batch, MaskerBatch)
          batch.feed = np.array([cast(np.ndarray, feed.face)[..., :3]
                                 for feed in batch.feed_faces], dtype="float32") / 255.0
          logger.trace("feed shape: %s", batch.feed.shape)  # type: ignore
  
      def predict(self, feed: np.ndarray) -> np.ndarray:
          """ Run model to get predictions """
 
</s> remove         batch.feed = np.array([cast(np.ndarray, feed.face)[..., :3]
 </s> add         batch.feed = np.array([T.cast(np.ndarray, feed.face)[..., :3] </s> remove         faces: List["AlignedFace"] = feed[1]
 </s> add         faces: list[AlignedFace] = feed[1] </s> remove         faces: List["AlignedFace"] = feed[1]
 </s> add         faces: list[AlignedFace] = feed[1] </s> remove         old_face = cast(np.ndarray, reference_face.face)[..., :3] / 255.0
 </s> add         old_face = T.cast(np.ndarray, reference_face.face)[..., :3] / 255.0 </s> remove     def _predict(self, feed_faces: np.ndarray, batch_size: T.Optional[int] = None) -> np.ndarray:
 </s> add     def _predict(self, feed_faces: np.ndarray, batch_size: int | None = None) -> np.ndarray:
        batch.feed = np.array([T.cast(np.ndarray, feed.face)[..., :3]
  
      def process_input(self, batch: BatchType) -> None:
          """ Compile the detected faces for prediction """
          assert isinstance(batch, MaskerBatch)
        batch.feed = np.array([T.cast(np.ndarray, feed.face)[..., :3]
                                 for feed in batch.feed_faces], dtype="float32") / 255.0
          logger.trace("feed shape: %s", batch.feed.shape)  # type: ignore
  
      def predict(self, feed: np.ndarray) -> np.ndarray:
          """ Run model to get predictions """
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/mask/unet_dfl.py