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| author | CoprDistGit <infra@openeuler.org> | 2023-05-31 03:56:00 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-05-31 03:56:00 +0000 |
| commit | 64d30cce6940570042d31587c4a0e4a7f88bc3dc (patch) | |
| tree | 9190b1b275d20921878e19aab2f8a8a173ac225b | |
| parent | 10fb291caf991a6509b9a21c2244790d2af1bbe0 (diff) | |
automatic import of python-fast-colorthief
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-fast-colorthief.spec | 202 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 204 insertions, 0 deletions
@@ -0,0 +1 @@ +/fast-colorthief-0.0.4.tar.gz diff --git a/python-fast-colorthief.spec b/python-fast-colorthief.spec new file mode 100644 index 0000000..7627c66 --- /dev/null +++ b/python-fast-colorthief.spec @@ -0,0 +1,202 @@ +%global _empty_manifest_terminate_build 0 +Name: python-fast-colorthief +Version: 0.0.4 +Release: 1 +Summary: Dominant colors in image +License: MIT +URL: https://github.com/bedapisl/fast-colorthief +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/48/89/954571b340e186e1dbbe63ff8e0852bf185a0f83618dcb47fc0e0d03e72c/fast-colorthief-0.0.4.tar.gz + +Requires: python3-Pillow +Requires: python3-numpy + +%description +# Fast colorthief + +A Python module for selecting most dominant colors in the image. Based on https://github.com/fengsp/color-thief-py but faster. + +## Installation +Linux, MacOS 10.15 or newer: +``` +pip install fast_colorthief +``` +Other operating systems (CMake required): +``` +git clone https://github.com/bedapisl/fast-colorthief +cd fast-colorthief +pip3 install . +``` + +## Example +``` +import fast_colorthief + +image_path = 'image.jpg' + +dominant_color = fast_colorthief.get_dominant_color(image_path) +color_palette = fast_colorthief.get_palette(image_path) +``` + +## Benchmark +1200 x 1200 jpg image + + +| Algorithm | Time per image | +| ----------| -------------- | +| Fast colorthief (input numpy array) | 0.0012s | +| Fast colorthief (input filename) | 0.034s | +| Reference (https://github.com/fengsp/color-thief-py) (input filename) | 0.509s | + +## How does it work +Backend is written in C++ for better performance. + +Uses Modified Median Cut Quantization algorithm. + + + + +%package -n python3-fast-colorthief +Summary: Dominant colors in image +Provides: python-fast-colorthief +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-fast-colorthief +# Fast colorthief + +A Python module for selecting most dominant colors in the image. Based on https://github.com/fengsp/color-thief-py but faster. + +## Installation +Linux, MacOS 10.15 or newer: +``` +pip install fast_colorthief +``` +Other operating systems (CMake required): +``` +git clone https://github.com/bedapisl/fast-colorthief +cd fast-colorthief +pip3 install . +``` + +## Example +``` +import fast_colorthief + +image_path = 'image.jpg' + +dominant_color = fast_colorthief.get_dominant_color(image_path) +color_palette = fast_colorthief.get_palette(image_path) +``` + +## Benchmark +1200 x 1200 jpg image + + +| Algorithm | Time per image | +| ----------| -------------- | +| Fast colorthief (input numpy array) | 0.0012s | +| Fast colorthief (input filename) | 0.034s | +| Reference (https://github.com/fengsp/color-thief-py) (input filename) | 0.509s | + +## How does it work +Backend is written in C++ for better performance. + +Uses Modified Median Cut Quantization algorithm. + + + + +%package help +Summary: Development documents and examples for fast-colorthief +Provides: python3-fast-colorthief-doc +%description help +# Fast colorthief + +A Python module for selecting most dominant colors in the image. Based on https://github.com/fengsp/color-thief-py but faster. + +## Installation +Linux, MacOS 10.15 or newer: +``` +pip install fast_colorthief +``` +Other operating systems (CMake required): +``` +git clone https://github.com/bedapisl/fast-colorthief +cd fast-colorthief +pip3 install . +``` + +## Example +``` +import fast_colorthief + +image_path = 'image.jpg' + +dominant_color = fast_colorthief.get_dominant_color(image_path) +color_palette = fast_colorthief.get_palette(image_path) +``` + +## Benchmark +1200 x 1200 jpg image + + +| Algorithm | Time per image | +| ----------| -------------- | +| Fast colorthief (input numpy array) | 0.0012s | +| Fast colorthief (input filename) | 0.034s | +| Reference (https://github.com/fengsp/color-thief-py) (input filename) | 0.509s | + +## How does it work +Backend is written in C++ for better performance. + +Uses Modified Median Cut Quantization algorithm. + + + + +%prep +%autosetup -n fast-colorthief-0.0.4 + +%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-fast-colorthief -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1 +- Package Spec generated @@ -0,0 +1 @@ +7c8766f77625ed95937980635ee0e812 fast-colorthief-0.0.4.tar.gz |
