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%global _empty_manifest_terminate_build 0
Name: python-napari-zelda
Version: 0.1.10
Release: 1
Summary: ZELDA: a 3D Image Segmentation and Parent-Child relation plugin for microscopy image analysis in napari
License: BSD-3-Clause
URL: https://github.com/RoccoDAnt/napari-zelda
Source0: https://mirrors.aliyun.com/pypi/web/packages/f6/1e/181b2e67ebb69e02edca0c05b90fa1c7eb6d28e3ee21735c9a6c870483e7/napari-zelda-0.1.10.tar.gz
BuildArch: noarch
%description
## What you can do with ZELDA plugin for napari
The plugin can be used to analyze 2D/3D image data sets.
Multidimensional images (each channel corresponding to a napari layer) can be used to:
1. Segment objects such as cells and organelles in 2D/3D.
2. Segment two populations in 2D/3D (e.g. cells and organelles, nuclei and nuclear spots, tissue structures and cells) establishing the "Parent-Child" relation: count how many mitochondria are contained in each cell, how many spots localize in every nucleus, how many cells are within a tissue compartment.
Example: cell cytoplasms (parent objects) and mitochondria (child objects)
%package -n python3-napari-zelda
Summary: ZELDA: a 3D Image Segmentation and Parent-Child relation plugin for microscopy image analysis in napari
Provides: python-napari-zelda
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-napari-zelda
## What you can do with ZELDA plugin for napari
The plugin can be used to analyze 2D/3D image data sets.
Multidimensional images (each channel corresponding to a napari layer) can be used to:
1. Segment objects such as cells and organelles in 2D/3D.
2. Segment two populations in 2D/3D (e.g. cells and organelles, nuclei and nuclear spots, tissue structures and cells) establishing the "Parent-Child" relation: count how many mitochondria are contained in each cell, how many spots localize in every nucleus, how many cells are within a tissue compartment.
Example: cell cytoplasms (parent objects) and mitochondria (child objects)
%package help
Summary: Development documents and examples for napari-zelda
Provides: python3-napari-zelda-doc
%description help
## What you can do with ZELDA plugin for napari
The plugin can be used to analyze 2D/3D image data sets.
Multidimensional images (each channel corresponding to a napari layer) can be used to:
1. Segment objects such as cells and organelles in 2D/3D.
2. Segment two populations in 2D/3D (e.g. cells and organelles, nuclei and nuclear spots, tissue structures and cells) establishing the "Parent-Child" relation: count how many mitochondria are contained in each cell, how many spots localize in every nucleus, how many cells are within a tissue compartment.
Example: cell cytoplasms (parent objects) and mitochondria (child objects)
%prep
%autosetup -n napari-zelda-0.1.10
%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-napari-zelda -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.10-1
- Package Spec generated
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