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PaQ-2-PiQ
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
1 maintainer
Metadata
1 maintainer
Release files for fastiqa 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastiqa-0.6.1.tar.gz | 10.8 kB | Details |
Release files / fastiqa-0.6.1.tar.gz
| Download URL | fastiqa-0.6.1.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
baca1a2bccba2e154028465204465ae5a5454666436cd78da7919e981ba5a5ed
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b2657f6f369fb388f2be54342dfc94d5d03a92b4b31dd707e439e1695125d381
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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