Pytorch documentation reports accuracies of several models on imagenet data. Please see the link.
https://pytorch.org/docs/stable/torchvision/models.html 10
Furthermore, they reference a training script (https://github.com/pytorch/examples/blob/42e5b996718797e45c46a25c55b031e6768f8440/imagenet/main.py#L89-L101 21). Can one reproduce the reported imagenet results by using the referenced script? Or do I need some more pre-processing. For example Inception-v3 uses some form of colour augmentation and as far I see the reference script doesn’t contain colour augmentation (may be I am wrong, I am a newbee in pyTorch).