DeepQA-with-Pytorch

This project aims to reimplement the work "Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework" for FR-IQA on PyTorch platform. The code has been trained and tested on LIVE and TID2013 database. The current performance is close to the claimed performance in the original paper.

File structure

This project folder should be included in a upper directory with the database data as following:

Project folder
└───DeepQA-with-Pytorch
│   │     README.md
│   │     train_LIVE.py
│   │     train_TID2013.py
│   └───datasets
│   └───models
│   └───snapshots
│   └───utils
│
└───data
│    └───LIVE_dataset
│    └───TID2013_dataset