ksonpham / vivit-a-pytorch-implementation Goto Github PK
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License: MIT License
hi @KSonPham
Thanks for the nice work in ViViT!
I am wondering did you train the video transformer (model 2) and test it on the public datasets or not.
If did, would you mind sharing the results and the best model?
Thanks for your great work!
hi @KSonPham ,
Thanks for the repo. I was curious about why CIFAR dataset was used, which is an image-only dataset, and therefore the temporal dimension would not get used. Sorry but due to some constraints I haven't been able to check the code closely to understand any nuance, hence hoping to post this and get a direct answer if possible.
Thanks,
Arun
I am trying to train the model using this command "python train_vivit.py --name ucf101 --pretrained_dir /ViT-B_16.npz --dataset custom". It says "KeyError: 'Transformer/encoderblock_0\MultiHeadDotProductAttention_1/query\kernel is not a file in the archive".
Why is that? I have already downloaded the Vit weights., but the path error specified doesn't exist in my project.
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