In this MR, version 0.2.0-dev3 (and later) is fixed:
We use DPIAdjusting transform as it is a key component when training on images of very different sizes
We compute the real mean and std values on the train set (we do not use default values from ImageNet = revert a5f7b5ab)
The padding is on the right and bottom of the image (= revert part of f57bc667 for now)
Two parameters files are created during training: one for training details (used to reproduce/continue the experiment), one for inference (that can be directly used by Arkindex DAN worker)
