%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
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.3-1
- Package Spec generated