%global _empty_manifest_terminate_build 0 Name: python-sewar Version: 0.4.5 Release: 1 Summary: All image quality metrics you need in one package. License: MIT URL: https://github.com/andrewekhalel/sewar Source0: https://mirrors.nju.edu.cn/pypi/web/packages/90/90/71ad919f857cb3c069fe0e7865987e57879799b6be840091e20a1b8d354c/sewar-0.4.5.tar.gz BuildArch: noarch %description Buy Me A Coffee # Sewar [![Build Status](https://travis-ci.org/sachinpuranik99/sewar.svg?branch=master)](https://travis-ci.org/sachinpuranik99/sewar) [![codecov](https://codecov.io/gh/sachinpuranik99/sewar/branch/master/graph/badge.svg)](https://codecov.io/gh/sachinpuranik99/sewar) Sewar is a python package for image quality assessment using different metrics. You can check documentation [here](http://sewar.readthedocs.io/). ## Implemented metrics - [x] Mean Squared Error (MSE) - [x] Root Mean Sqaured Error (RMSE) - [x] Peak Signal-to-Noise Ratio (PSNR) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Structural Similarity Index (SSIM) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Universal Quality Image Index (UQI) [[2]](https://ieeexplore.ieee.org/document/995823/) - [x] Multi-scale Structural Similarity Index (MS-SSIM) [[3]](https://ieeexplore.ieee.org/abstract/document/1292216/) - [x] Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS) [[4]](https://hal.archives-ouvertes.fr/hal-00395027/) - [x] Spatial Correlation Coefficient (SCC) [[5]](https://www.tandfonline.com/doi/abs/10.1080/014311698215973) - [x] Relative Average Spectral Error (RASE) [[6]](https://ieeexplore.ieee.org/document/1304896/) - [x] Spectral Angle Mapper (SAM) [[7]](https://ntrs.nasa.gov/search.jsp?R=19940012238) - [x] Spectral Distortion Index (D_lambda) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Spatial Distortion Index (D_S) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Quality with No Reference (QNR) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Visual Information Fidelity (VIF) [[9]](https://ieeexplore.ieee.org/abstract/document/1576816/) - [x] Block Sensitive - Peak Signal-to-Noise Ratio (PSNR-B) [[10]](https://ieeexplore.ieee.org/abstract/document/5535179/) ## Todo - [ ] Add command-line support for No-reference metrics ## Installation Just as simple as ``` pip install sewar ``` ## Example usage a simple example to use UQI ```python >>> from sewar.full_ref import uqi >>> uqi(img1,img2) 0.9586952304831419 ``` ## Example usage for command line interface ``` sewar [metric] [GT path] [P path] (any extra parameters) ``` An example to use SSIM ```shell foo@bar:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13 ssim : 0.8947009811410856 ``` Available metrics list ``` mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb ``` ## Contributors Special thanks to @sachinpuranik99 and @sunwj. ## References [1] "Image quality assessment: from error visibility to structural similarity." 2004)
[2] "A universal image quality index." (2002)
[3] "Multiscale structural similarity for image quality assessment." (2003)
[4] "Quality of high resolution synthesised images: Is there a simple criterion?." (2000)
[5] "A wavelet transform method to merge Landsat TM and SPOT panchromatic data." (1998)
[6] "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition." (2004)
[7] "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm." (1992)
[8] "Multispectral and panchromatic data fusion assessment without reference." (2008)
[9] "Image information and visual quality." (2006)
[10] "Quality Assessment of Deblocked Images" (2011)
%package -n python3-sewar Summary: All image quality metrics you need in one package. Provides: python-sewar BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-sewar Buy Me A Coffee # Sewar [![Build Status](https://travis-ci.org/sachinpuranik99/sewar.svg?branch=master)](https://travis-ci.org/sachinpuranik99/sewar) [![codecov](https://codecov.io/gh/sachinpuranik99/sewar/branch/master/graph/badge.svg)](https://codecov.io/gh/sachinpuranik99/sewar) Sewar is a python package for image quality assessment using different metrics. You can check documentation [here](http://sewar.readthedocs.io/). ## Implemented metrics - [x] Mean Squared Error (MSE) - [x] Root Mean Sqaured Error (RMSE) - [x] Peak Signal-to-Noise Ratio (PSNR) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Structural Similarity Index (SSIM) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Universal Quality Image Index (UQI) [[2]](https://ieeexplore.ieee.org/document/995823/) - [x] Multi-scale Structural Similarity Index (MS-SSIM) [[3]](https://ieeexplore.ieee.org/abstract/document/1292216/) - [x] Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS) [[4]](https://hal.archives-ouvertes.fr/hal-00395027/) - [x] Spatial Correlation Coefficient (SCC) [[5]](https://www.tandfonline.com/doi/abs/10.1080/014311698215973) - [x] Relative Average Spectral Error (RASE) [[6]](https://ieeexplore.ieee.org/document/1304896/) - [x] Spectral Angle Mapper (SAM) [[7]](https://ntrs.nasa.gov/search.jsp?R=19940012238) - [x] Spectral Distortion Index (D_lambda) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Spatial Distortion Index (D_S) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Quality with No Reference (QNR) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Visual Information Fidelity (VIF) [[9]](https://ieeexplore.ieee.org/abstract/document/1576816/) - [x] Block Sensitive - Peak Signal-to-Noise Ratio (PSNR-B) [[10]](https://ieeexplore.ieee.org/abstract/document/5535179/) ## Todo - [ ] Add command-line support for No-reference metrics ## Installation Just as simple as ``` pip install sewar ``` ## Example usage a simple example to use UQI ```python >>> from sewar.full_ref import uqi >>> uqi(img1,img2) 0.9586952304831419 ``` ## Example usage for command line interface ``` sewar [metric] [GT path] [P path] (any extra parameters) ``` An example to use SSIM ```shell foo@bar:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13 ssim : 0.8947009811410856 ``` Available metrics list ``` mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb ``` ## Contributors Special thanks to @sachinpuranik99 and @sunwj. ## References [1] "Image quality assessment: from error visibility to structural similarity." 2004)
[2] "A universal image quality index." (2002)
[3] "Multiscale structural similarity for image quality assessment." (2003)
[4] "Quality of high resolution synthesised images: Is there a simple criterion?." (2000)
[5] "A wavelet transform method to merge Landsat TM and SPOT panchromatic data." (1998)
[6] "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition." (2004)
[7] "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm." (1992)
[8] "Multispectral and panchromatic data fusion assessment without reference." (2008)
[9] "Image information and visual quality." (2006)
[10] "Quality Assessment of Deblocked Images" (2011)
%package help Summary: Development documents and examples for sewar Provides: python3-sewar-doc %description help Buy Me A Coffee # Sewar [![Build Status](https://travis-ci.org/sachinpuranik99/sewar.svg?branch=master)](https://travis-ci.org/sachinpuranik99/sewar) [![codecov](https://codecov.io/gh/sachinpuranik99/sewar/branch/master/graph/badge.svg)](https://codecov.io/gh/sachinpuranik99/sewar) Sewar is a python package for image quality assessment using different metrics. You can check documentation [here](http://sewar.readthedocs.io/). ## Implemented metrics - [x] Mean Squared Error (MSE) - [x] Root Mean Sqaured Error (RMSE) - [x] Peak Signal-to-Noise Ratio (PSNR) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Structural Similarity Index (SSIM) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Universal Quality Image Index (UQI) [[2]](https://ieeexplore.ieee.org/document/995823/) - [x] Multi-scale Structural Similarity Index (MS-SSIM) [[3]](https://ieeexplore.ieee.org/abstract/document/1292216/) - [x] Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS) [[4]](https://hal.archives-ouvertes.fr/hal-00395027/) - [x] Spatial Correlation Coefficient (SCC) [[5]](https://www.tandfonline.com/doi/abs/10.1080/014311698215973) - [x] Relative Average Spectral Error (RASE) [[6]](https://ieeexplore.ieee.org/document/1304896/) - [x] Spectral Angle Mapper (SAM) [[7]](https://ntrs.nasa.gov/search.jsp?R=19940012238) - [x] Spectral Distortion Index (D_lambda) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Spatial Distortion Index (D_S) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Quality with No Reference (QNR) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Visual Information Fidelity (VIF) [[9]](https://ieeexplore.ieee.org/abstract/document/1576816/) - [x] Block Sensitive - Peak Signal-to-Noise Ratio (PSNR-B) [[10]](https://ieeexplore.ieee.org/abstract/document/5535179/) ## Todo - [ ] Add command-line support for No-reference metrics ## Installation Just as simple as ``` pip install sewar ``` ## Example usage a simple example to use UQI ```python >>> from sewar.full_ref import uqi >>> uqi(img1,img2) 0.9586952304831419 ``` ## Example usage for command line interface ``` sewar [metric] [GT path] [P path] (any extra parameters) ``` An example to use SSIM ```shell foo@bar:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13 ssim : 0.8947009811410856 ``` Available metrics list ``` mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb ``` ## Contributors Special thanks to @sachinpuranik99 and @sunwj. ## References [1] "Image quality assessment: from error visibility to structural similarity." 2004)
[2] "A universal image quality index." (2002)
[3] "Multiscale structural similarity for image quality assessment." (2003)
[4] "Quality of high resolution synthesised images: Is there a simple criterion?." (2000)
[5] "A wavelet transform method to merge Landsat TM and SPOT panchromatic data." (1998)
[6] "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition." (2004)
[7] "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm." (1992)
[8] "Multispectral and panchromatic data fusion assessment without reference." (2008)
[9] "Image information and visual quality." (2006)
[10] "Quality Assessment of Deblocked Images" (2011)
%prep %autosetup -n sewar-0.4.5 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-sewar -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 15 2023 Python_Bot - 0.4.5-1 - Package Spec generated