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|
%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.aliyun.com/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
[](https://pypi.org/project/btf-extractor/#history)
[](https://github.com/2-propanol/BTF_extractor/releases)
[](https://pypi.org/project/btf-extractor/)
[](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.
> 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.
### UBO2014
22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions.
> [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
[](https://pypi.org/project/btf-extractor/#history)
[](https://github.com/2-propanol/BTF_extractor/releases)
[](https://pypi.org/project/btf-extractor/)
[](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.
> 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.
### UBO2014
22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions.
> [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
[](https://pypi.org/project/btf-extractor/#history)
[](https://github.com/2-propanol/BTF_extractor/releases)
[](https://pypi.org/project/btf-extractor/)
[](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.
> 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.
### UBO2014
22,801 images, 512x512(400x400) resolution, 151 view and 151 light directions.
> [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
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.0-1
- Package Spec generated
|
