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Unsupervised-BIQA

This repository contains codes to perform Unsupervised-Blind Image Quality Assessment.

Files

  • 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.

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Unsupervised Blind Image Quality Assessment. This model doesn't use a reference image and also labels to perform quality assessment of images.

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