This repository contains codes to perform Unsupervised-Blind Image Quality Assessment.
-
data_utils.py: This file contains the utility functions for pre-processing the data, loading batches of data while training, testing and evaluation.
-
alexnet.py: This file creates an AlexNet graph and loads the weights that are trained on ImageNet. This file is ported from alexnet-finetuning repository by Frederik Kratzert
-
Workbook.ipynb: This workbook does all the functionality from loading the data, creating a tensorflow session, training and evaluating the network.
- tensorflow 1.6 or later