text: Title: 【BUG】Video example code is not working...
  Body: * face_recognition version: 1.3.0
  * Python version: 3.9.16
  * Operating System: Rocky Linux 9.2 (Blue Onyx) x86_64
  
  ### Description
  
  The example `facerec_from_video_file.py` is not running.
  
  Here's the the terminal output...
  
  ```bash
  $ /bin/python /home/ander/face_recognition/examples/facerec_from_video_file.py
  Traceback (most recent call last):
    File "/home/ander/face_recognition/examples/facerec_from_video_file.py", line 50, in <module>
      face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
    File "/home/ander/.local/lib/python3.9/site-packages/face_recognition/api.py", line 214, in face_encodings
      return [np.array(face_encoder.compute_face_descriptor(face_image, raw_landmark_set, num_jitters)) for raw_landmark_set in raw_landmarks]
    File "/home/ander/.local/lib/python3.9/site-packages/face_recognition/api.py", line 214, in <listcomp>
      return [np.array(face_encoder.compute_face_descriptor(face_image, raw_landmark_set, num_jitters)) for raw_landmark_set in raw_landmarks]
  TypeError: compute_face_descriptor(): incompatible function arguments. The following argument types are supported:
      1. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], face: _dlib_pybind11.full_object_detection, num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vector
      2. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], num_jitters: int = 0) -> _dlib_pybind11.vector
      3. (self: _dlib_pybind11.face_recognition_model_v1, img: numpy.ndarray[(rows,cols,3),numpy.uint8], faces: _dlib_pybind11.full_object_detections, num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vectors
      4. (self: _dlib_pybind11.face_recognition_model_v1, batch_img: List[numpy.ndarray[(rows,cols,3),numpy.uint8]], batch_faces: List[_dlib_pybind11.full_object_detections], num_jitters: int = 0, padding: float = 0.25) -> _dlib_pybind11.vectorss
      5. (self: _dlib_pybind11.face_recognition_model_v1, batch_img: List[numpy.ndarray[(rows,cols,3),numpy.uint8]], num_jitters: int = 0) -> _dlib_pybind11.vectors
  
  Invoked with: <_dlib_pybind11.face_recognition_model_v1 object at 0x7f8bc98bb2b0>, array([[[ 8,  3,  0],
          [12,  7,  4],
          [18, 13, 10],
          ...,
          [24,  9,  0],
          [24,  9,  0],
          [24,  9,  0]],
  
         [[ 8,  3,  0],
          [12,  7,  4],
          [18, 13, 10],
          ...,
          [24,  9,  0],
          [24,  9,  0],
          [24,  9,  0]],
  
         [[ 7,  2,  0],
          [11,  6,  3],
          [16, 11,  8],
          ...,
          [24,  9,  0],
          [24,  9,  0],
          [24,  9,  0]],
  
         ...,
  
         [[ 7,  3,  0],
          [ 7,  3,  0],
          [ 9,  3,  0],
          ...,
          [17,  1,  0],
          [11,  1,  2],
          [11,  1,  2]],
  
         [[ 7,  3,  0],
          [ 7,  3,  0],
          [ 9,  3,  0],
          ...,
          [17,  2,  0],
          [11,  1,  0],
          [11,  1,  0]],
  
         [[ 7,  3,  0],
          [ 7,  3,  0],
          [ 9,  3,  0],
          ...,
          [17,  2,  0],
          [11,  1,  0],
          [11,  1,  0]]], dtype=uint8), <_dlib_pybind11.full_object_detection object at 0x7f8ba3186e70>, 1
  ```
  
  ### What I Did
  
  ```bash
  git clone https://github.com/ageitgey/face_recognition.git
  cd face_recognition/examples
  python facerec_from_video_file.py
  ```
  