Simple (pretrained) unet training code with histopathology

Two pretrained architectures were mainly used: DenseNet-161 encoding Unet and Efficientnets

WSI slicer is in /utils

example run:

python train.py --batch_size 24 --model_type dense --n_eval 1000

check the utils/config.py for configs

data loader assumes patches for loading

validation is done using DICE(f1)-score