%global _empty_manifest_terminate_build 0 Name: python-btf-extractor Version: 1.7.0 Release: 1 Summary: Extract UBO BTF archive format(UBO2003, ATRIUM, UBO2014). License: Zlib URL: https://github.com/2-propanol/btf_extractor Source0: https://mirrors.nju.edu.cn/pypi/web/packages/77/d5/00f1a2151a63a6fc16a5cbdd1715d95f67ce1f442ccfde2b93d4e1b5c4ac/btf_extractor-1.7.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-nptyping Requires: python3-simplejpeg Requires: python3-imageio Requires: python3-Cython %description # BTF Extractor [![PyPI version](https://img.shields.io/pypi/v/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/#history) [![GitHub version](https://img.shields.io/github/v/tag/2-propanol/BTF_extractor?style=flat-square)](https://github.com/2-propanol/BTF_extractor/releases) [![Python Versions](https://img.shields.io/pypi/pyversions/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/) [![Code style: black](https://img.shields.io/badge/code%20style-black-black?style=flat-square)](https://github.com/psf/black) Extract UBO BTF archive format([UBO2003](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2003/), [ATRIUM](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/atrium/), [UBO2014](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2014/)). This repository uses [zeroeffects/btf](https://github.com/zeroeffects/btf)'s [btf.hh](https://github.com/zeroeffects/btf/blob/master/btf.hh) (MIT License). Extract to ndarray compatible with openCV(BGR, channels-last). ## Install ```bash pip install btf-extractor ``` This package uses the [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html). To install this package, a C++ and OpenMP build environment is required. ### Build is tested on - Windows 10 20H2 + MSVC v14.28 ([Build Tools for Visual Studio 2019](https://visualstudio.microsoft.com/downloads/)) - MacOS 11(Big Sur) + clang 13.0.0 (`xcode-select --install`) + libomp (`brew install libomp`) - Ubuntu 20.04 + GCC 9.3.0 ([build-essential](https://packages.ubuntu.com/focal/build-essential)) ## Example ```python >>> from btf_extractor import Ubo2003, AtriumHdr, Ubo2014 >>> btf = Ubo2003("UBO_CORDUROY256.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) uint8 >>> btf = AtriumHdr("CEILING_HDR.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) float32 >>> btf = Ubo2014("carpet01_resampled_W400xH400_L151xV151.btf") >>> print(btf.img_shape) (400, 400, 3) >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (60.0, 270.0, 60.0, 135.0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (400, 400, 3) >>> print(image.dtype) float32 ``` ## Supported Datasets ### UBO2003 6561 images, 256x256 resolution, 81 view and 81 light directions. ![ubo2003](https://user-images.githubusercontent.com/42978570/114306638-59518580-9b17-11eb-9961-baa775ab235f.jpg) > Mirko Sattler, Ralf Sarlette and Reinhard Klein "[Efficient and Realistic Visualization of Cloth](http://cg.cs.uni-bonn.de/de/publikationen/paper-details/sattler-2003-efficient/)", EGSR 2003. ### ATRIUM (non-HDR and HDR) 6561 images, 800x800 resolution, 81 view and 81 light directions. ![atrium](https://user-images.githubusercontent.com/42978570/114306641-5c4c7600-9b17-11eb-8251-9a4a92a16b55.jpg) ### UBO2014 22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions. ![ubo2014](https://user-images.githubusercontent.com/42978570/114306647-5f476680-9b17-11eb-9fb6-5332e104f341.jpg) > [Michael Weinmann](https://cg.cs.uni-bonn.de/en/people/dr-michael-weinmann/), [Juergen Gall](http://www.iai.uni-bonn.de/~gall/) and [Reinhard Klein](https://cg.cs.uni-bonn.de/en/people/prof-dr-reinhard-klein/). "[Material Classification based on Training Data Synthesized Using a BTF Database](https://cg.cs.uni-bonn.de/de/publikationen/paper-details/weinmann-2014-materialclassification/)", accepted at ECCV 2014. %package -n python3-btf-extractor Summary: Extract UBO BTF archive format(UBO2003, ATRIUM, UBO2014). Provides: python-btf-extractor BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-btf-extractor # BTF Extractor [![PyPI version](https://img.shields.io/pypi/v/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/#history) [![GitHub version](https://img.shields.io/github/v/tag/2-propanol/BTF_extractor?style=flat-square)](https://github.com/2-propanol/BTF_extractor/releases) [![Python Versions](https://img.shields.io/pypi/pyversions/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/) [![Code style: black](https://img.shields.io/badge/code%20style-black-black?style=flat-square)](https://github.com/psf/black) Extract UBO BTF archive format([UBO2003](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2003/), [ATRIUM](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/atrium/), [UBO2014](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2014/)). This repository uses [zeroeffects/btf](https://github.com/zeroeffects/btf)'s [btf.hh](https://github.com/zeroeffects/btf/blob/master/btf.hh) (MIT License). Extract to ndarray compatible with openCV(BGR, channels-last). ## Install ```bash pip install btf-extractor ``` This package uses the [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html). To install this package, a C++ and OpenMP build environment is required. ### Build is tested on - Windows 10 20H2 + MSVC v14.28 ([Build Tools for Visual Studio 2019](https://visualstudio.microsoft.com/downloads/)) - MacOS 11(Big Sur) + clang 13.0.0 (`xcode-select --install`) + libomp (`brew install libomp`) - Ubuntu 20.04 + GCC 9.3.0 ([build-essential](https://packages.ubuntu.com/focal/build-essential)) ## Example ```python >>> from btf_extractor import Ubo2003, AtriumHdr, Ubo2014 >>> btf = Ubo2003("UBO_CORDUROY256.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) uint8 >>> btf = AtriumHdr("CEILING_HDR.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) float32 >>> btf = Ubo2014("carpet01_resampled_W400xH400_L151xV151.btf") >>> print(btf.img_shape) (400, 400, 3) >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (60.0, 270.0, 60.0, 135.0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (400, 400, 3) >>> print(image.dtype) float32 ``` ## Supported Datasets ### UBO2003 6561 images, 256x256 resolution, 81 view and 81 light directions. ![ubo2003](https://user-images.githubusercontent.com/42978570/114306638-59518580-9b17-11eb-9961-baa775ab235f.jpg) > Mirko Sattler, Ralf Sarlette and Reinhard Klein "[Efficient and Realistic Visualization of Cloth](http://cg.cs.uni-bonn.de/de/publikationen/paper-details/sattler-2003-efficient/)", EGSR 2003. ### ATRIUM (non-HDR and HDR) 6561 images, 800x800 resolution, 81 view and 81 light directions. ![atrium](https://user-images.githubusercontent.com/42978570/114306641-5c4c7600-9b17-11eb-8251-9a4a92a16b55.jpg) ### UBO2014 22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions. ![ubo2014](https://user-images.githubusercontent.com/42978570/114306647-5f476680-9b17-11eb-9fb6-5332e104f341.jpg) > [Michael Weinmann](https://cg.cs.uni-bonn.de/en/people/dr-michael-weinmann/), [Juergen Gall](http://www.iai.uni-bonn.de/~gall/) and [Reinhard Klein](https://cg.cs.uni-bonn.de/en/people/prof-dr-reinhard-klein/). "[Material Classification based on Training Data Synthesized Using a BTF Database](https://cg.cs.uni-bonn.de/de/publikationen/paper-details/weinmann-2014-materialclassification/)", accepted at ECCV 2014. %package help Summary: Development documents and examples for btf-extractor Provides: python3-btf-extractor-doc %description help # BTF Extractor [![PyPI version](https://img.shields.io/pypi/v/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/#history) [![GitHub version](https://img.shields.io/github/v/tag/2-propanol/BTF_extractor?style=flat-square)](https://github.com/2-propanol/BTF_extractor/releases) [![Python Versions](https://img.shields.io/pypi/pyversions/btf-extractor?style=flat-square)](https://pypi.org/project/btf-extractor/) [![Code style: black](https://img.shields.io/badge/code%20style-black-black?style=flat-square)](https://github.com/psf/black) Extract UBO BTF archive format([UBO2003](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2003/), [ATRIUM](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/atrium/), [UBO2014](https://cg.cs.uni-bonn.de/en/projects/btfdbb/download/ubo2014/)). This repository uses [zeroeffects/btf](https://github.com/zeroeffects/btf)'s [btf.hh](https://github.com/zeroeffects/btf/blob/master/btf.hh) (MIT License). Extract to ndarray compatible with openCV(BGR, channels-last). ## Install ```bash pip install btf-extractor ``` This package uses the [Cython](https://cython.readthedocs.io/en/latest/src/quickstart/install.html). To install this package, a C++ and OpenMP build environment is required. ### Build is tested on - Windows 10 20H2 + MSVC v14.28 ([Build Tools for Visual Studio 2019](https://visualstudio.microsoft.com/downloads/)) - MacOS 11(Big Sur) + clang 13.0.0 (`xcode-select --install`) + libomp (`brew install libomp`) - Ubuntu 20.04 + GCC 9.3.0 ([build-essential](https://packages.ubuntu.com/focal/build-essential)) ## Example ```python >>> from btf_extractor import Ubo2003, AtriumHdr, Ubo2014 >>> btf = Ubo2003("UBO_CORDUROY256.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) uint8 >>> btf = AtriumHdr("CEILING_HDR.zip") >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (0, 0, 0, 0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (256, 256, 3) >>> print(image.dtype) float32 >>> btf = Ubo2014("carpet01_resampled_W400xH400_L151xV151.btf") >>> print(btf.img_shape) (400, 400, 3) >>> angles_list = list(btf.angles_set) >>> print(angles_list[0]) (60.0, 270.0, 60.0, 135.0) >>> image = btf.angles_to_image(*angles_list[0]) >>> print(image.shape) (400, 400, 3) >>> print(image.dtype) float32 ``` ## Supported Datasets ### UBO2003 6561 images, 256x256 resolution, 81 view and 81 light directions. ![ubo2003](https://user-images.githubusercontent.com/42978570/114306638-59518580-9b17-11eb-9961-baa775ab235f.jpg) > Mirko Sattler, Ralf Sarlette and Reinhard Klein "[Efficient and Realistic Visualization of Cloth](http://cg.cs.uni-bonn.de/de/publikationen/paper-details/sattler-2003-efficient/)", EGSR 2003. ### ATRIUM (non-HDR and HDR) 6561 images, 800x800 resolution, 81 view and 81 light directions. ![atrium](https://user-images.githubusercontent.com/42978570/114306641-5c4c7600-9b17-11eb-8251-9a4a92a16b55.jpg) ### UBO2014 22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions. ![ubo2014](https://user-images.githubusercontent.com/42978570/114306647-5f476680-9b17-11eb-9fb6-5332e104f341.jpg) > [Michael Weinmann](https://cg.cs.uni-bonn.de/en/people/dr-michael-weinmann/), [Juergen Gall](http://www.iai.uni-bonn.de/~gall/) and [Reinhard Klein](https://cg.cs.uni-bonn.de/en/people/prof-dr-reinhard-klein/). "[Material Classification based on Training Data Synthesized Using a BTF Database](https://cg.cs.uni-bonn.de/de/publikationen/paper-details/weinmann-2014-materialclassification/)", accepted at ECCV 2014. %prep %autosetup -n btf-extractor-1.7.0 %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-btf-extractor -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 1.7.0-1 - Package Spec generated