Skip to content

Latest commit

 

History

History
33 lines (23 loc) · 919 Bytes

README.md

File metadata and controls

33 lines (23 loc) · 919 Bytes
Raw

weighted DCNN

Introduction

This is a tensorflow implementation of the network in "Bosse S, Maniry D, Müller K R, et al. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment[J]. arXiv preprint arXiv:1612.01697, 2016." . We only reproduce the weighted FR network here. Refer to dmaniry/deepIQA for official source codes.

Dependencies

For the code in src

  • Python 3.5
  • TensorFlow 1.0
  • Anaconda3
  • Windows 10

For the code in src_tid2013_cluster

  • Python 2.7
  • TensorFlow 1.0
  • CentOS 6.5

Results

We repeat 20 times on tid2013.

enter image description here

Note:

  • the reference images and the epoch are indexed from 0.
  • the metric includes MAE/SROCC/KROCC/PLCC/RMSE.

TODO

  • complement the experiments on tid2013.