%global _empty_manifest_terminate_build 0 Name: python-scenepic Version: 1.1.0 Release: 1 Summary: 3D Visualization Made Easy License: MIT License URL: https://microsoft.github.io/scenepic/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2c/05/1bf52a975c438b4886925cb76c22c927f0b93538c37b1bcce409a196bf14/scenepic-1.1.0.tar.gz Requires: python3-numpy Requires: python3-pillow Requires: python3-scipy Requires: python3-azure-storage-blob Requires: python3-azure-common Requires: python3-nbstripout Requires: python3-pytest-md Requires: python3-pytest-emoji Requires: python3-pytest-cov Requires: python3-pytest Requires: python3-requests Requires: python3-sphinx Requires: python3-sphinx-autodoc-typehints Requires: python3-sphinx-rtd-theme Requires: python3-twine Requires: python3-wheel Requires: python3-opencv-python %description All platforms have good support for 2D images, with well-recognized formats such as PNG and JPEG that can be viewed out of the box (no installation) and shared trivially. However, while many formats exist for 3D data, none are well-supported without installation of tools such as MeshLab, Blender, etc. ScenePic was created for 3D computer vision researchers such as those working on [HoloLens](https://www.microsoft.com/en-gb/hololens) and [Mesh](https://www.microsoft.com/en-us/mesh) at Microsoft. It was designed to be a lightweight, reuseable 3D visualization library, with the following desiderata in mind: - Make experimentation with 3D data near effortless - Incredibly easy to create and share 3D results * zero-install sharing of detailed 3D results using HTML * based on modern web standards so usable with any modern browser (tested in Edge, FireFox and Chrome) * embeddable in other HTML documents - Performant * based on WebGL - High quality visuals - Works both offline or interactively in client-server setup - Simple, clean API * friendly Python front-end * basic mesh json file format * other language front ends easy to add %package -n python3-scenepic Summary: 3D Visualization Made Easy Provides: python-scenepic BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-scenepic All platforms have good support for 2D images, with well-recognized formats such as PNG and JPEG that can be viewed out of the box (no installation) and shared trivially. However, while many formats exist for 3D data, none are well-supported without installation of tools such as MeshLab, Blender, etc. ScenePic was created for 3D computer vision researchers such as those working on [HoloLens](https://www.microsoft.com/en-gb/hololens) and [Mesh](https://www.microsoft.com/en-us/mesh) at Microsoft. It was designed to be a lightweight, reuseable 3D visualization library, with the following desiderata in mind: - Make experimentation with 3D data near effortless - Incredibly easy to create and share 3D results * zero-install sharing of detailed 3D results using HTML * based on modern web standards so usable with any modern browser (tested in Edge, FireFox and Chrome) * embeddable in other HTML documents - Performant * based on WebGL - High quality visuals - Works both offline or interactively in client-server setup - Simple, clean API * friendly Python front-end * basic mesh json file format * other language front ends easy to add %package help Summary: Development documents and examples for scenepic Provides: python3-scenepic-doc %description help All platforms have good support for 2D images, with well-recognized formats such as PNG and JPEG that can be viewed out of the box (no installation) and shared trivially. However, while many formats exist for 3D data, none are well-supported without installation of tools such as MeshLab, Blender, etc. ScenePic was created for 3D computer vision researchers such as those working on [HoloLens](https://www.microsoft.com/en-gb/hololens) and [Mesh](https://www.microsoft.com/en-us/mesh) at Microsoft. It was designed to be a lightweight, reuseable 3D visualization library, with the following desiderata in mind: - Make experimentation with 3D data near effortless - Incredibly easy to create and share 3D results * zero-install sharing of detailed 3D results using HTML * based on modern web standards so usable with any modern browser (tested in Edge, FireFox and Chrome) * embeddable in other HTML documents - Performant * based on WebGL - High quality visuals - Works both offline or interactively in client-server setup - Simple, clean API * friendly Python front-end * basic mesh json file format * other language front ends easy to add %prep %autosetup -n scenepic-1.1.0 %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-scenepic -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 25 2023 Python_Bot - 1.1.0-1 - Package Spec generated