[TL;DR] I simply changed the num_class in the PyTorch Hub example to match with the model description.
First of all, thanks for this great work. While I read the Readme file, I found one logical error. So, I made a pull request to correct this, if my understanding is correct.
Specifically, as specified in line #109, "Models fine-tuned on Kinetics have 400 classes, the plain IG65 models 487 (32 clips), and 359 (8 clips) classes", but the PyTorch Hub example sets "359" classes even for the "r2plus1d_34_32_ig65m" model.
[TL;DR] I simply changed the num_class in the PyTorch Hub example to match with the model description.
First of all, thanks for this great work. While I read the Readme file, I found one logical error. So, I made a pull request to correct this, if my understanding is correct.
Specifically, as specified in line #109, "Models fine-tuned on Kinetics have 400 classes, the plain IG65 models 487 (32 clips), and 359 (8 clips) classes", but the PyTorch Hub example sets "359" classes even for the "r2plus1d_34_32_ig65m" model.
Please check the details below.