%global _empty_manifest_terminate_build 0 Name: python-bm3d Version: 4.0.1 Release: 1 Summary: BM3D for correlated noise. License: Free for non-commercial use URL: https://pypi.org/project/bm3d/ Source0: https://mirrors.aliyun.com/pypi/web/packages/49/0f/5387ec8e07b3345e9b8e23cba2a28e27a6b7bccb3e74e2e63dd23a8ca8b5/bm3d-4.0.1.tar.gz BuildArch: noarch Requires: python3-bm4d Requires: python3-numpy Requires: python3-scipy %description # Python wrapper for BM3D denoising - from Tampere with love Python wrapper for BM3D for stationary correlated noise (including white noise) for color, grayscale and multichannel images and deblurring. BM3D is an algorithm for attenuation of additive spatially correlated stationary (aka colored) Gaussian noise. This package provides a wrapper for the BM3D binaries for use for grayscale, color and other multichannel images for denoising and deblurring. This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020, "Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching", in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354. This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms. The package is available for non-commercial use only. For details, see LICENSE. For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper. Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip . Authors: \ Ymir Mäkinen \ Lucio Azzari \ Alessandro Foi %package -n python3-bm3d Summary: BM3D for correlated noise. Provides: python-bm3d BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-bm3d # Python wrapper for BM3D denoising - from Tampere with love Python wrapper for BM3D for stationary correlated noise (including white noise) for color, grayscale and multichannel images and deblurring. BM3D is an algorithm for attenuation of additive spatially correlated stationary (aka colored) Gaussian noise. This package provides a wrapper for the BM3D binaries for use for grayscale, color and other multichannel images for denoising and deblurring. This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020, "Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching", in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354. This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms. The package is available for non-commercial use only. For details, see LICENSE. For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper. Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip . Authors: \ Ymir Mäkinen \ Lucio Azzari \ Alessandro Foi %package help Summary: Development documents and examples for bm3d Provides: python3-bm3d-doc %description help # Python wrapper for BM3D denoising - from Tampere with love Python wrapper for BM3D for stationary correlated noise (including white noise) for color, grayscale and multichannel images and deblurring. BM3D is an algorithm for attenuation of additive spatially correlated stationary (aka colored) Gaussian noise. This package provides a wrapper for the BM3D binaries for use for grayscale, color and other multichannel images for denoising and deblurring. This implementation is based on Y. Mäkinen, L. Azzari, A. Foi, 2020, "Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching", in IEEE Transactions on Image Processing, vol. 29, pp. 8339-8354. This package provides a BM3D interface for the "bm4d" denoising package. Please see the bm4d package for supported platforms. The package is available for non-commercial use only. For details, see LICENSE. For examples, see the examples folder of the full source zip, which also includes the example noise cases demonstrated in the paper. Alternatively, you can download the examples from http://www.cs.tut.fi/~foi/GCF-BM3D/bm3d_py_demos.zip . Authors: \ Ymir Mäkinen \ Lucio Azzari \ Alessandro Foi %prep %autosetup -n bm3d-4.0.1 %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-bm3d -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 4.0.1-1 - Package Spec generated