Pretrained model released

[Blink621]

Hi, Thanks for your fantastic work! I am using your pretrained model on HACS dataset to compute video activation, where I found several confused things.

1. The link to pre-trained weights on HACS has some strange point. The option "srtg_r2plus1d_101“ 's checkpoint link corresponds to "srtg_r2plus1d_50_best.pth". I am wondering if there is some naming errors or they just have the same name.
2. I load the model of srtg_r2plus1d_50 using pytorch. However, its full connected layer has out_features of 400. The HACS dataset uses a taxonomy of 200 action classes, which is identical to that of the ActivityNet-v1.3 dataset. So I can't understand why the out features are 400 here. Does it mean the model is pretraining on HACS and then tranfering on kinetics of 400 classes?
   Looking forward your reply!