%global _empty_manifest_terminate_build 0 Name: python-plantcv Version: 3.14.3 Release: 1 Summary: An image processing package for plant phenotyping. License: MIT URL: http://plantcv.danforthcenter.org Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ed/6c/23ce4b9f56f80aeb0d216621fa4dd12bfed17a3979c762147fa3da5b5826/plantcv-3.14.3.tar.gz BuildArch: noarch Requires: python3-matplotlib Requires: python3-numpy Requires: python3-pandas Requires: python3-dateutil Requires: python3-scipy Requires: python3-scikit-image Requires: python3-scikit-learn Requires: python3-plotnine Requires: python3-dask Requires: python3-dask-jobqueue Requires: python3-opencv-python Requires: python3-statsmodels %description ![builds](https://github.com/danforthcenter/plantcv/workflows/builds/badge.svg) [![codecov](https://codecov.io/gh/danforthcenter/plantcv/branch/main/graph/badge.svg)](https://codecov.io/gh/danforthcenter/plantcv) [![Documentation Status](http://readthedocs.org/projects/plantcv/badge/?version=latest)](http://plantcv.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) [![Docker Pulls](https://img.shields.io/docker/pulls/danforthcenter/plantcv.svg)](https://hub.docker.com/r/danforthcenter/plantcv/) [![GitHub release](https://img.shields.io/github/release/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/releases) [![PyPI version](https://badge.fury.io/py/plantcv.svg)](https://badge.fury.io/py/plantcv) ![Conda](https://img.shields.io/conda/v/conda-forge/plantcv) [![license](https://img.shields.io/github/license/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/blob/main/LICENSE) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](docs/CODE_OF_CONDUCT.md) # PlantCV: Plant phenotyping using computer vision Please use, cite, and [contribute to](http://plantcv.readthedocs.io/en/latest/CONTRIBUTING/) PlantCV! If you have questions, please submit them via the [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Follow us on twitter [@plantcv](https://twitter.com/plantcv). *** ## Introduction to PlantCV PlantCV is an open-source image analysis software package targeted for plant phenotyping. PlantCV provides a common programming and documentation interface to a collection of image analysis techniques that are integrated from a variety of source packages and algorithms. PlantCV utilizes a modular architecture that enables flexibility in the design of analysis workflows and rapid assimilation and integration of new methods. For more information about the project, links to recorded presentations, and publications using PlantCV, please visit our homepage: . ### Quick Links * [Documentation](http://plantcv.readthedocs.io/) * [Interactive Documentation](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) * [Installation Instructions](https://plantcv.readthedocs.io/en/stable/installation/) * [Updating/Changelog](https://plantcv.readthedocs.io/en/stable/updating/) * [Public Image Datasets](http://plantcv.danforthcenter.org/pages/data.html) * [Contribution Guide](https://plantcv.readthedocs.io/en/stable/CONTRIBUTING/) * [Code of Conduct](https://plantcv.readthedocs.io/en/stable/CODE_OF_CONDUCT/) * Downloads * [GitHub](https://github.com/danforthcenter/plantcv) * [PyPI](https://pypi.org/project/plantcv/) * [Conda-forge](https://anaconda.org/conda-forge/plantcv) * [Docker](https://hub.docker.com/r/danforthcenter/plantcv) * [Zenodo](https://doi.org/10.5281/zenodo.595522) ### Citing PlantCV If you use PlantCV, please cite the [PlantCV publications](https://plantcv.danforthcenter.org/#plantcv-publications) relevant to your work. To see how others have used PlantCV in their research, check out our list of [publications using PlantCV](https://plantcv.danforthcenter.org/#publications-using-plantcv). *** ## Issues with PlantCV Please file any PlantCV suggestions/issues/bugs via our [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Please check to see if any related issues have already been filed. *** %package -n python3-plantcv Summary: An image processing package for plant phenotyping. Provides: python-plantcv BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-plantcv ![builds](https://github.com/danforthcenter/plantcv/workflows/builds/badge.svg) [![codecov](https://codecov.io/gh/danforthcenter/plantcv/branch/main/graph/badge.svg)](https://codecov.io/gh/danforthcenter/plantcv) [![Documentation Status](http://readthedocs.org/projects/plantcv/badge/?version=latest)](http://plantcv.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) [![Docker Pulls](https://img.shields.io/docker/pulls/danforthcenter/plantcv.svg)](https://hub.docker.com/r/danforthcenter/plantcv/) [![GitHub release](https://img.shields.io/github/release/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/releases) [![PyPI version](https://badge.fury.io/py/plantcv.svg)](https://badge.fury.io/py/plantcv) ![Conda](https://img.shields.io/conda/v/conda-forge/plantcv) [![license](https://img.shields.io/github/license/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/blob/main/LICENSE) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](docs/CODE_OF_CONDUCT.md) # PlantCV: Plant phenotyping using computer vision Please use, cite, and [contribute to](http://plantcv.readthedocs.io/en/latest/CONTRIBUTING/) PlantCV! If you have questions, please submit them via the [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Follow us on twitter [@plantcv](https://twitter.com/plantcv). *** ## Introduction to PlantCV PlantCV is an open-source image analysis software package targeted for plant phenotyping. PlantCV provides a common programming and documentation interface to a collection of image analysis techniques that are integrated from a variety of source packages and algorithms. PlantCV utilizes a modular architecture that enables flexibility in the design of analysis workflows and rapid assimilation and integration of new methods. For more information about the project, links to recorded presentations, and publications using PlantCV, please visit our homepage: . ### Quick Links * [Documentation](http://plantcv.readthedocs.io/) * [Interactive Documentation](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) * [Installation Instructions](https://plantcv.readthedocs.io/en/stable/installation/) * [Updating/Changelog](https://plantcv.readthedocs.io/en/stable/updating/) * [Public Image Datasets](http://plantcv.danforthcenter.org/pages/data.html) * [Contribution Guide](https://plantcv.readthedocs.io/en/stable/CONTRIBUTING/) * [Code of Conduct](https://plantcv.readthedocs.io/en/stable/CODE_OF_CONDUCT/) * Downloads * [GitHub](https://github.com/danforthcenter/plantcv) * [PyPI](https://pypi.org/project/plantcv/) * [Conda-forge](https://anaconda.org/conda-forge/plantcv) * [Docker](https://hub.docker.com/r/danforthcenter/plantcv) * [Zenodo](https://doi.org/10.5281/zenodo.595522) ### Citing PlantCV If you use PlantCV, please cite the [PlantCV publications](https://plantcv.danforthcenter.org/#plantcv-publications) relevant to your work. To see how others have used PlantCV in their research, check out our list of [publications using PlantCV](https://plantcv.danforthcenter.org/#publications-using-plantcv). *** ## Issues with PlantCV Please file any PlantCV suggestions/issues/bugs via our [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Please check to see if any related issues have already been filed. *** %package help Summary: Development documents and examples for plantcv Provides: python3-plantcv-doc %description help ![builds](https://github.com/danforthcenter/plantcv/workflows/builds/badge.svg) [![codecov](https://codecov.io/gh/danforthcenter/plantcv/branch/main/graph/badge.svg)](https://codecov.io/gh/danforthcenter/plantcv) [![Documentation Status](http://readthedocs.org/projects/plantcv/badge/?version=latest)](http://plantcv.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) [![Docker Pulls](https://img.shields.io/docker/pulls/danforthcenter/plantcv.svg)](https://hub.docker.com/r/danforthcenter/plantcv/) [![GitHub release](https://img.shields.io/github/release/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/releases) [![PyPI version](https://badge.fury.io/py/plantcv.svg)](https://badge.fury.io/py/plantcv) ![Conda](https://img.shields.io/conda/v/conda-forge/plantcv) [![license](https://img.shields.io/github/license/danforthcenter/plantcv.svg)](https://github.com/danforthcenter/plantcv/blob/main/LICENSE) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](docs/CODE_OF_CONDUCT.md) # PlantCV: Plant phenotyping using computer vision Please use, cite, and [contribute to](http://plantcv.readthedocs.io/en/latest/CONTRIBUTING/) PlantCV! If you have questions, please submit them via the [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Follow us on twitter [@plantcv](https://twitter.com/plantcv). *** ## Introduction to PlantCV PlantCV is an open-source image analysis software package targeted for plant phenotyping. PlantCV provides a common programming and documentation interface to a collection of image analysis techniques that are integrated from a variety of source packages and algorithms. PlantCV utilizes a modular architecture that enables flexibility in the design of analysis workflows and rapid assimilation and integration of new methods. For more information about the project, links to recorded presentations, and publications using PlantCV, please visit our homepage: . ### Quick Links * [Documentation](http://plantcv.readthedocs.io/) * [Interactive Documentation](https://mybinder.org/v2/gh/danforthcenter/plantcv-binder.git/master?filepath=index.ipynb) * [Installation Instructions](https://plantcv.readthedocs.io/en/stable/installation/) * [Updating/Changelog](https://plantcv.readthedocs.io/en/stable/updating/) * [Public Image Datasets](http://plantcv.danforthcenter.org/pages/data.html) * [Contribution Guide](https://plantcv.readthedocs.io/en/stable/CONTRIBUTING/) * [Code of Conduct](https://plantcv.readthedocs.io/en/stable/CODE_OF_CONDUCT/) * Downloads * [GitHub](https://github.com/danforthcenter/plantcv) * [PyPI](https://pypi.org/project/plantcv/) * [Conda-forge](https://anaconda.org/conda-forge/plantcv) * [Docker](https://hub.docker.com/r/danforthcenter/plantcv) * [Zenodo](https://doi.org/10.5281/zenodo.595522) ### Citing PlantCV If you use PlantCV, please cite the [PlantCV publications](https://plantcv.danforthcenter.org/#plantcv-publications) relevant to your work. To see how others have used PlantCV in their research, check out our list of [publications using PlantCV](https://plantcv.danforthcenter.org/#publications-using-plantcv). *** ## Issues with PlantCV Please file any PlantCV suggestions/issues/bugs via our [GitHub issues page](https://github.com/danforthcenter/plantcv/issues). Please check to see if any related issues have already been filed. *** %prep %autosetup -n plantcv-3.14.3 %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-plantcv -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 3.14.3-1 - Package Spec generated