Awesome

RDN

This project aims at providing a fast, modular reference implementation for super-resolution models using pytorch

Introducation

• RDN(CVPR2018)
  

training

preprocess

For training you shall download the DIV2k dataset:- DIV2K
put your train_img,and valid_img to the DIV2K_train_HR and DIV2K_valid_HR. <br>

1. you shall python main.py process to generate downsample data and then you can train your RDN-Net to use python main.py train .<br>
2. you can change your para from the config.py All of it realized from pytorch.<br> Finaly if you want to see the output ,you can download the visdom to see output real time

training_Loss

eval

original

predict