I am really glad that Kaggle has released new Docker images which allows us to use fastai v1 and PyTorch v1 in Kaggle kernels.
But there is an issue since some parts of the library require files to present in a particular order(I am talking about file hierarchy like some
csv file show be present in
train folder when using
ImageItemList.from_csv). How can I use fastai on Kaggle Kernels where data is provided through a read-only folder?