          detected_faces: list
              The filtered list of detected face objects, if saving filtered faces has not been
              selected or the full list of detected faces
          """
          retval: T.List[DetectedFace] = []
          self._counts += sum(should_filter)
          for idx, face in enumerate(faces):
              fldr = sub_folders[idx]
              if fldr is not None:
                  # Saving to sub folder is selected and face is already filtered
 
</s> remove         sub_folders: List[Optional[str]] = [None for _ in range(len(faces))]
 </s> add         sub_folders: list[str | None] = [None for _ in range(len(faces))] </s> remove         retval: List[np.ndarray] = []
        filtered_landmarks: List[np.ndarray] = []
 </s> add         retval: list[np.ndarray] = []
        filtered_landmarks: list[np.ndarray] = [] </s> remove                       faces: T.List[DetectedFace],
                      sub_folders: T.List[T.Optional[str]],
                      should_filter: T.List[bool]) -> T.List[DetectedFace]:
 </s> add                       faces: list[DetectedFace],
                      sub_folders: list[str | None],
                      should_filter: list[bool]) -> list[DetectedFace]: </s> remove         retval: List[AlignerBatch] = []
 </s> add         retval: list[AlignerBatch] = [] </s> remove         retval: T.Dict[str, T.List[int]] = {}
 </s> add         retval: dict[str, list[int]] = {}
        retval: list[DetectedFace] = []
          detected_faces: list
              The filtered list of detected face objects, if saving filtered faces has not been
              selected or the full list of detected faces
          """
        retval: list[DetectedFace] = []
          self._counts += sum(should_filter)
          for idx, face in enumerate(faces):
              fldr = sub_folders[idx]
              if fldr is not None:
                  # Saving to sub folder is selected and face is already filtered
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/_base.py