Video-Action-Transformer-Network-Pytorch-:视频行动变压器网络的实现

# Video-Action-Transformer-Network-Pytorch- Pytorch and Tensorflow Implementation of the paper Video Action Transformer Network *Rohit Girdhar, Joao Carreira, Carl Doersch, Andrew Zisserman* Retasked Video transformer (uses resnet as base) **transformer_v1.py** is more like real transformer, **transformer.py** more true to what paper advertises Usage : ``` from transformer_v1 import Semi_Transformer model = Semi_Transformer(num_classes=num_classes , num_frames = max_seq_len) outputs, features = model(imgs) # outputs is the classification layer output (do cross entropy loss) #features are used as video embedding ##################### or ################### from transformer_v2 import Semi_Transformer model = Semi_Transformer(num_classes=625 , seq_len = max_seq_len) ``` In case you find any discrepency, please raise an issue. If any one was able to reproduce the paper results kindly help me with this [issue](https://github.com/ppriyank/Video-Action-Transformer-Network-Pytorch-/issues/2). If possible please meantion the changes needs to be further added.