I found that the "preocessing.py" codes use a simple transforms.RandomResizedCrop(224) to preprocess the input training data. Why don't you utilize aspect preserving resize before cropping? Thanks.
Thanks for your opinion.
I refer to the following URL. but, I think when we using a RandomResizedCrop(224), it can get a generalized effect.
pytorch example
I found that the "preocessing.py" codes use a simple transforms.RandomResizedCrop(224) to preprocess the input training data. Why don't you utilize aspect preserving resize before cropping? Thanks.