%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 - 0.0.4-1 - Package Spec generated