Не удается инициализировать объект класса Detector из py-feat

Я пытаюсь определить FEX из видео по этой инструкции: https://py-feat.org/content/detector.html#detecting-fex-from-videos

Но я не могу инициализировать объект класса Detector. Код, который я использую:

from feat import Detector

face_model = "retinaface"
landmark_model = "mobilenet"
au_model = "rf"
emotion_model = "resmasknet"
detector = Detector(face_model=face_model, landmark_model=landmark_model, au_model=au_model,
                    emotion_model=emotion_model)

if __name__ == '__main__':
    pass

И я получаю следующие ошибки:

C:\Users\User\AppData\Roaming\Python\Python39\site-packages\nilearn\input_data\__init__.py:27: FutureWarning: The import path 'nilearn.input_data' is deprecated in version 0.9. Importing from 'nilearn.input_data' will be possible at least until release 0.13.0. Please import from 'nilearn.maskers' instead.
  warnings.warn(message, FutureWarning)
Loading Face Detection model:  retinaface
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\mobilenet0.25_Final.pth
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\mobilenet_224_model_best_gdconv_external.pth.tar
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\hog_pca_all_emotio.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\hog_pca_all_emotio.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\hog_scalar_aus.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\RF_568.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\hog_pca_all_emotio.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\hog_scalar_aus.joblib
Using downloaded and verified file: C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\resources\ResMaskNet_Z_resmasking_dropout1_rot30.pth
Loading Face Landmark model:  mobilenet
Loading au model:  rf
Loading emotion model:  resmasknet
Traceback (most recent call last):
  File "C:\Users\User\Desktop\DetectFEXFromVideos\main.py", line 7, in <module>
    detector = Detector(face_model=face_model, landmark_model=landmark_model, au_model=au_model,
  File "C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\detector.py", line 227, in __init__
    self.emotion_model = ResMaskNet()
  File "C:\Users\User\AppData\Roaming\Python\Python39\site-packages\feat\emo_detectors\ResMaskNet\resmasknet_test.py", line 748, in __init__
    torch.load(
  File "C:\Users\User\AppData\Roaming\Python\Python39\site-packages\torch\serialization.py", line 713, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "C:\Users\User\AppData\Roaming\Python\Python39\site-packages\torch\serialization.py", line 938, in _legacy_load
    typed_storage._storage._set_from_file(
RuntimeError: unexpected EOF, expected 32606425 more bytes. The file might be corrupted.

Process finished with exit code 1

Я новичок в Python, поэтому не менял никаких аргументов при инициализации объекта. Не понимаю, что каждый означает.

P.S. А может кто знает, как решить проблему в 2-х первых рядах?