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Hi there. I ran this repo long time ago for my own research. To address the loss=nan issue, I guess it's originally from bbox loss and you may need to check bbox coordinates as it may be out of bounds after +1 or -1. I cannot clearly remember where to modify.
Furthermore, you may need to downgrade to Python 2.7.12 PyTorch 1.0.0 torchvision 0.2.2 as stated in readme. This is deprecated even years ago but I clearly remember that I can't reproduce the results under much higher python and torch version. Good luck to you.
get nan loss when training target model in overlooking style module on custom datasets even set learning rate to a very small number
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