Deep PyTorch Super Resolution

A PyTorch 1.1.0 implementation of SRCNN and EDSR neural networks for Super Resolution Single Frame tasks.

Usage

Since the documentation is a WIP I suggest taking a look at the following files to figure out how to use my code:

1. init_data.py: starting from source data it performs some preprocessing (eg. RGB-to-GreyScale) and organizes examples and labels into a folder hierarchy.

2. init_models.py: performs training and testing of the two models and collects performance logs during all the operations.

3. benchmark.py: using pre trained models and performance data generated by the previous script, it compares the models and plots useful informations.