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|
%global _empty_manifest_terminate_build 0
Name: python-cvbuilder
Version: 0.4.54
Release: 1
Summary: Package for building OpenCV 4.5.4 including Python 3 bindings from the official sources.
License: MIT
URL: https://pypi.org/project/cvbuilder/
Source0: https://mirrors.aliyun.com/pypi/web/packages/7b/d4/c61e03f48179450fd363a29080ff0f38e59b373d777b4c3f68aef22fb4e1/cvbuilder-0.4.54.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-requests
Requires: python3-pip
Requires: python3-six
%description
# OpenCV Hands-Free
**Unofficial** OpenCV builder for Python.
This package aims at building OpenCV 4.5.4 with Python bindings from the official sources.
It provides a simple command line interface for starting the process of downloading the
official sources, configuring the build dependencies, compiling and installing the resulting
CV2 shared object within a virtual environment.
In contrast to [opencv-python](https://github.com/skvark/opencv-python) it will not provide any
wheels and therefore the installation / build process will be by far slower (depending on the
actual system performance).
**IMPORTANT NOTE**
Depending on the usage and system dependencies, the on-the-fly build output can
contain video and GUI functionality and the contrib package.
## Features
* builds against Python >= 3.6
* runs and builds inside virtual environment
* includes video support
* supports OpenCV check (import, build information)
* compiles with many flags enabled (which???)
## Supported OS
* Debian Jessie, Stretch
* Ubuntu 18.04
* LinuxMint 18.2
* Manjaro
* Arch
* Raspbian 9 (Stretch)
## Supported Python runtimes
* CPython 3.6, 3.7, 3.8, 3.9
* PyPy (not yet)
**Note:** PyPy (7.3.0) is not supported yet due to missing path variables in module `sysconfig`.
## Installation
1. Use a Python's [virtual environment](https://docs.python.org/3/library/venv.html)
or even better add the package via [poetry](https://github.com/sdispater/poetry): `poetry add cvbuilder`
1. Follow instructions below
## Usage
After installing the package via `pip` / `pipenv` / `poetry`, you can manually invoke `cvbuilder` commands.
### Install system dependencies
```bash
cvbuilder system --enable-gui --enable-video
```
### Download, configure, build, install
The `do-it-all` command is:
```bash
cvbuilder build
```
or if you already downloaded the source zip files in the default temporary
directory or need to rerun the process in a clean way:
```bash
cvbuilder build --clean
```
## Custom
If you need to run the individual steps (i.e. for debugging) the following
commands are provided.
### Download sources
```bash
cvbuilder download
```
### Generate make config
```bash
cvbuilder configure [--tmpdir XYZ]
```
### Compile
```bash
cvbuilder make
```
### Install
```bash
cvbuilder install
```
### Dump
```bash
cvbuilder dump
```
### Check
You can run the check command:
```bash
cvbuilder check
```
in order to check whether the build process and installation worked.
# Running OpenCV
Now everything should be up and running and you should be able to work with OpenCV:
1. Start a python REPL: `poetry run python`
1. Import the CV package: `import cv2`
1. Read [OpenCV documentation](http://docs.opencv.org/)
%package -n python3-cvbuilder
Summary: Package for building OpenCV 4.5.4 including Python 3 bindings from the official sources.
Provides: python-cvbuilder
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cvbuilder
# OpenCV Hands-Free
**Unofficial** OpenCV builder for Python.
This package aims at building OpenCV 4.5.4 with Python bindings from the official sources.
It provides a simple command line interface for starting the process of downloading the
official sources, configuring the build dependencies, compiling and installing the resulting
CV2 shared object within a virtual environment.
In contrast to [opencv-python](https://github.com/skvark/opencv-python) it will not provide any
wheels and therefore the installation / build process will be by far slower (depending on the
actual system performance).
**IMPORTANT NOTE**
Depending on the usage and system dependencies, the on-the-fly build output can
contain video and GUI functionality and the contrib package.
## Features
* builds against Python >= 3.6
* runs and builds inside virtual environment
* includes video support
* supports OpenCV check (import, build information)
* compiles with many flags enabled (which???)
## Supported OS
* Debian Jessie, Stretch
* Ubuntu 18.04
* LinuxMint 18.2
* Manjaro
* Arch
* Raspbian 9 (Stretch)
## Supported Python runtimes
* CPython 3.6, 3.7, 3.8, 3.9
* PyPy (not yet)
**Note:** PyPy (7.3.0) is not supported yet due to missing path variables in module `sysconfig`.
## Installation
1. Use a Python's [virtual environment](https://docs.python.org/3/library/venv.html)
or even better add the package via [poetry](https://github.com/sdispater/poetry): `poetry add cvbuilder`
1. Follow instructions below
## Usage
After installing the package via `pip` / `pipenv` / `poetry`, you can manually invoke `cvbuilder` commands.
### Install system dependencies
```bash
cvbuilder system --enable-gui --enable-video
```
### Download, configure, build, install
The `do-it-all` command is:
```bash
cvbuilder build
```
or if you already downloaded the source zip files in the default temporary
directory or need to rerun the process in a clean way:
```bash
cvbuilder build --clean
```
## Custom
If you need to run the individual steps (i.e. for debugging) the following
commands are provided.
### Download sources
```bash
cvbuilder download
```
### Generate make config
```bash
cvbuilder configure [--tmpdir XYZ]
```
### Compile
```bash
cvbuilder make
```
### Install
```bash
cvbuilder install
```
### Dump
```bash
cvbuilder dump
```
### Check
You can run the check command:
```bash
cvbuilder check
```
in order to check whether the build process and installation worked.
# Running OpenCV
Now everything should be up and running and you should be able to work with OpenCV:
1. Start a python REPL: `poetry run python`
1. Import the CV package: `import cv2`
1. Read [OpenCV documentation](http://docs.opencv.org/)
%package help
Summary: Development documents and examples for cvbuilder
Provides: python3-cvbuilder-doc
%description help
# OpenCV Hands-Free
**Unofficial** OpenCV builder for Python.
This package aims at building OpenCV 4.5.4 with Python bindings from the official sources.
It provides a simple command line interface for starting the process of downloading the
official sources, configuring the build dependencies, compiling and installing the resulting
CV2 shared object within a virtual environment.
In contrast to [opencv-python](https://github.com/skvark/opencv-python) it will not provide any
wheels and therefore the installation / build process will be by far slower (depending on the
actual system performance).
**IMPORTANT NOTE**
Depending on the usage and system dependencies, the on-the-fly build output can
contain video and GUI functionality and the contrib package.
## Features
* builds against Python >= 3.6
* runs and builds inside virtual environment
* includes video support
* supports OpenCV check (import, build information)
* compiles with many flags enabled (which???)
## Supported OS
* Debian Jessie, Stretch
* Ubuntu 18.04
* LinuxMint 18.2
* Manjaro
* Arch
* Raspbian 9 (Stretch)
## Supported Python runtimes
* CPython 3.6, 3.7, 3.8, 3.9
* PyPy (not yet)
**Note:** PyPy (7.3.0) is not supported yet due to missing path variables in module `sysconfig`.
## Installation
1. Use a Python's [virtual environment](https://docs.python.org/3/library/venv.html)
or even better add the package via [poetry](https://github.com/sdispater/poetry): `poetry add cvbuilder`
1. Follow instructions below
## Usage
After installing the package via `pip` / `pipenv` / `poetry`, you can manually invoke `cvbuilder` commands.
### Install system dependencies
```bash
cvbuilder system --enable-gui --enable-video
```
### Download, configure, build, install
The `do-it-all` command is:
```bash
cvbuilder build
```
or if you already downloaded the source zip files in the default temporary
directory or need to rerun the process in a clean way:
```bash
cvbuilder build --clean
```
## Custom
If you need to run the individual steps (i.e. for debugging) the following
commands are provided.
### Download sources
```bash
cvbuilder download
```
### Generate make config
```bash
cvbuilder configure [--tmpdir XYZ]
```
### Compile
```bash
cvbuilder make
```
### Install
```bash
cvbuilder install
```
### Dump
```bash
cvbuilder dump
```
### Check
You can run the check command:
```bash
cvbuilder check
```
in order to check whether the build process and installation worked.
# Running OpenCV
Now everything should be up and running and you should be able to work with OpenCV:
1. Start a python REPL: `poetry run python`
1. Import the CV package: `import cv2`
1. Read [OpenCV documentation](http://docs.opencv.org/)
%prep
%autosetup -n cvbuilder-0.4.54
%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-cvbuilder -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.54-1
- Package Spec generated
|