diff options
author | CoprDistGit <infra@openeuler.org> | 2023-05-18 06:25:31 +0000 |
---|---|---|
committer | CoprDistGit <infra@openeuler.org> | 2023-05-18 06:25:31 +0000 |
commit | eb39a649a052f075e69b6c590c3d005de24760c9 (patch) | |
tree | 6b7e79ffdb6ef399024be97e0bf4ac586b9d47a0 | |
parent | 4de044357390658a71222fcc68591b1c12a4fffb (diff) |
automatic import of python-yupi
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-yupi.spec | 241 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 243 insertions, 0 deletions
@@ -0,0 +1 @@ +/yupi-0.12.3.tar.gz diff --git a/python-yupi.spec b/python-yupi.spec new file mode 100644 index 0000000..c4044e4 --- /dev/null +++ b/python-yupi.spec @@ -0,0 +1,241 @@ +%global _empty_manifest_terminate_build 0 +Name: python-yupi +Version: 0.12.3 +Release: 1 +Summary: A package for tracking and analysing objects trajectories +License: MIT +URL: https://github.com/yupidevs/yupi +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/3e/8883bc897e81c34d65ac7fad0573438a0e91f8e391162dfda8e68b6db1f4/yupi-0.12.3.tar.gz +BuildArch: noarch + +Requires: python3-opencv-python +Requires: python3-numpy +Requires: python3-nudged +Requires: python3-matplotlib + +%description +<p align="center"> +<img src="logo.png" alt="Logo"><br> +</p> + +<div align="center"> +<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a> +<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a> +<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a> +<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a> +</div> + +Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed +for collecting, generating and processing trajectory data. + +## **Main features** + +- **Convert raw data to trajectories** ... *different input manners* +- **I/O operations with trajectories** ... *json and csv serializers* +- **Trajectory extraction from video inputs** ... *even with moving camera* +- **Artificial trajectory generation** ... *several models implemented* +- **Trajectory basic operations** ... *rotation, shift, scaling, ...* +- **Trajectory transformations** ... *filters, resamplers, ...* +- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...* +- **Results visualization** ... *each statistical observable has a related plot function* +- **Spacial projection of trajectories** ... *for 2D and 3D trajectories* + +## Installation + +Current recommended installation method is via PyPI: + +```cmd +pip install yupi +``` + +## Compatibility + +- Python 3.7 or later +- Ubuntu 18.04 or later +- Windows 7 or later +- macOS 10.12.6 (Sierra) or later. + +## Getting Started + +In the [official documentation](https://yupi.readthedocs.io/en/latest/) there +are some resources to start using the library: Tutorials, Examples and a +detailed description of the API. + +## Examples + +Code examples (with additional multimedia resources) can be found in +[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in +the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html) +of the documentation, you can find the same examples with additional comments +and expected execution results in order to inspect the examples without actually +executing them. + + +%package -n python3-yupi +Summary: A package for tracking and analysing objects trajectories +Provides: python-yupi +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-yupi +<p align="center"> +<img src="logo.png" alt="Logo"><br> +</p> + +<div align="center"> +<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a> +<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a> +<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a> +<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a> +</div> + +Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed +for collecting, generating and processing trajectory data. + +## **Main features** + +- **Convert raw data to trajectories** ... *different input manners* +- **I/O operations with trajectories** ... *json and csv serializers* +- **Trajectory extraction from video inputs** ... *even with moving camera* +- **Artificial trajectory generation** ... *several models implemented* +- **Trajectory basic operations** ... *rotation, shift, scaling, ...* +- **Trajectory transformations** ... *filters, resamplers, ...* +- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...* +- **Results visualization** ... *each statistical observable has a related plot function* +- **Spacial projection of trajectories** ... *for 2D and 3D trajectories* + +## Installation + +Current recommended installation method is via PyPI: + +```cmd +pip install yupi +``` + +## Compatibility + +- Python 3.7 or later +- Ubuntu 18.04 or later +- Windows 7 or later +- macOS 10.12.6 (Sierra) or later. + +## Getting Started + +In the [official documentation](https://yupi.readthedocs.io/en/latest/) there +are some resources to start using the library: Tutorials, Examples and a +detailed description of the API. + +## Examples + +Code examples (with additional multimedia resources) can be found in +[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in +the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html) +of the documentation, you can find the same examples with additional comments +and expected execution results in order to inspect the examples without actually +executing them. + + +%package help +Summary: Development documents and examples for yupi +Provides: python3-yupi-doc +%description help +<p align="center"> +<img src="logo.png" alt="Logo"><br> +</p> + +<div align="center"> +<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a> +<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a> +<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a> +<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a> +</div> + +Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed +for collecting, generating and processing trajectory data. + +## **Main features** + +- **Convert raw data to trajectories** ... *different input manners* +- **I/O operations with trajectories** ... *json and csv serializers* +- **Trajectory extraction from video inputs** ... *even with moving camera* +- **Artificial trajectory generation** ... *several models implemented* +- **Trajectory basic operations** ... *rotation, shift, scaling, ...* +- **Trajectory transformations** ... *filters, resamplers, ...* +- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...* +- **Results visualization** ... *each statistical observable has a related plot function* +- **Spacial projection of trajectories** ... *for 2D and 3D trajectories* + +## Installation + +Current recommended installation method is via PyPI: + +```cmd +pip install yupi +``` + +## Compatibility + +- Python 3.7 or later +- Ubuntu 18.04 or later +- Windows 7 or later +- macOS 10.12.6 (Sierra) or later. + +## Getting Started + +In the [official documentation](https://yupi.readthedocs.io/en/latest/) there +are some resources to start using the library: Tutorials, Examples and a +detailed description of the API. + +## Examples + +Code examples (with additional multimedia resources) can be found in +[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in +the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html) +of the documentation, you can find the same examples with additional comments +and expected execution results in order to inspect the examples without actually +executing them. + + +%prep +%autosetup -n yupi-0.12.3 + +%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-yupi -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.3-1 +- Package Spec generated @@ -0,0 +1 @@ +6ec3848940968bbf65d14c179b5529e5 yupi-0.12.3.tar.gz |