Closed Bunoviske closed 3 years ago
First image: no denorm Second image: one denorm Third image: two denorms
@Bunoviske Would you mind creating a minimal reproducible example in, lets say, a Colab notebook? I know there are some changes brought in fastai 2.3+ wrt adding normalization in validation set, which may be a cause for that. would be great if u have a notebook for me to verify that
Also: Try installing the dev version of fastai and fastcore and try again too just to verify it's still an issue:
pip install git+https://github.com/fastai/fastai
pip install git+https://github.com/fastai/fastcore
@Bunoviske looks like this was resolved in the latest version (2.4) :) cc @jph00
Nice! Sorry, i did not have time to test it. Thanks
In fastai version 2.3.0 and 2.3.1, I need to denorm (decode) the image two times so I can get the original one from learner.dls. In version 2.2.7 works fine. I also imagine what might happen during the training and get_preds. Maybe you are normalizing the image twice.