          """
          logger.debug("Input is video. Capturing frames")
          vidname = os.path.splitext(os.path.basename(self._args.input_dir))[0]
          reader = imageio.get_reader(self._args.input_dir, "ffmpeg")  # type:ignore[arg-type]
          for i, frame in enumerate(cast(Iterator[np.ndarray], reader)):
              # Convert to BGR for cv2 compatibility
              frame = frame[:, :, ::-1]
              filename = f"{vidname}_{i + 1:06d}.png"
              logger.trace("Loading video frame: '%s'", filename)  # type:ignore[attr-defined]
              yield filename, frame
 
</s> remove     def load_video_frame(self, filename: str) -> "np.ndarray":
 </s> add     def load_video_frame(self, filename: str) -> np.ndarray: </s> remove         frames = set(item["frame_fullname"] for item in cast(List[Dict[str, str]], self._items))
 </s> add         frames = set(item["frame_fullname"] for item in T.cast(list[dict[str, str]], self._items)) </s> remove             queue = cast("EventQueue", args[0])
 </s> add             queue = T.cast("EventQueue", args[0]) </s> remove             x_center = (cast(int, face.left) + face.right) / 2.0
            y_center = (cast(int, face.top) + face.bottom) / 2.0 - cast(int, face.height) * 0.12
            scale = (cast(int, face.width) + cast(int, face.height)) * self.reference_scale
            center_scale[index, :, 0] = np.full(68, x_center, dtype='float32')
            center_scale[index, :, 1] = np.full(68, y_center, dtype='float32')
 </s> add             x_ctr = (T.cast(int, face.left) + face.right) / 2.0
            y_ctr = (T.cast(int, face.top) + face.bottom) / 2.0 - T.cast(int, face.height) * 0.12
            scale = (T.cast(int, face.width) + T.cast(int, face.height)) * self.reference_scale
            center_scale[index, :, 0] = np.full(68, x_ctr, dtype='float32')
            center_scale[index, :, 1] = np.full(68, y_ctr, dtype='float32') </s> remove     def _get_multi_faces_faces(self) -> Generator[Tuple[str, int], None, None]:
 </s> add     def _get_multi_faces_faces(self) -> Generator[tuple[str, int], None, None]:
        for i, frame in enumerate(T.cast(Iterator[np.ndarray], reader)):
          """
          logger.debug("Input is video. Capturing frames")
          vidname = os.path.splitext(os.path.basename(self._args.input_dir))[0]
          reader = imageio.get_reader(self._args.input_dir, "ffmpeg")  # type:ignore[arg-type]
        for i, frame in enumerate(T.cast(Iterator[np.ndarray], reader)):
              # Convert to BGR for cv2 compatibility
              frame = frame[:, :, ::-1]
              filename = f"{vidname}_{i + 1:06d}.png"
              logger.trace("Loading video frame: '%s'", filename)  # type:ignore[attr-defined]
              yield filename, frame
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 
scripts/fsmedia.py