fastiqa

fastiqa makes deep learning for image quality assessment faster and easier


Keywords
fastiqa, deep, learning, machine
License
Other
Install
pip install fastiqa==0.6.1

Documentation

ArXiv | Website | Setup | Document

PaQ-2-PiQ

License: CC BY-NC-SA 4.0

Code for our paper "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"

@article{ying2019patches,
  title={From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality},
  author={Ying, Zhenqi
  ang and Niu, Haoran and Gupta, Praful and Mahajan, Dhruv and Ghadiyaram, Deepti and Bovik, Alan},
  journal={arXiv preprint arXiv:1912.10088},
  year={2019}
}

Features

  • support cpu-only, just install pytorch-cpu and followed by fastai

Setup

  • python 3.6/3.7 python --version

  • install prerequisites by pip install -r requirements.txt

  • Download the pretrained models and put them under a folder named models

  • Open a Jupyter notebook and run demo.ipynb

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