%global _empty_manifest_terminate_build 0
Name:		python-cvbase
Version:	0.5.5
Release:	1
Summary:	Utils for computer vision research
License:	MIT
URL:		https://github.com/hellock/cvbase
Source0:	https://mirrors.aliyun.com/pypi/web/packages/82/8b/fb6289cfa92853d67318f5019fb31f07bf9af3649fd2e3f9a43a530c69a2/cvbase-0.5.5.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pyyaml
Requires:	python3-six
Requires:	python3-terminaltables

%description
# Introduction

[![PyPI Version](https://img.shields.io/pypi/v/cvbase.svg)](https://pypi.python.org/pypi/cvbase)
[![Python Version](https://img.shields.io/pypi/pyversions/cvbase.svg)]()
[![Build Status](https://travis-ci.org/hellock/cvbase.svg?branch=master)](https://travis-ci.org/hellock/cvbase)
[![Coverage Status](https://codecov.io/gh/hellock/cvbase/branch/master/graph/badge.svg)](https://codecov.io/gh/hellock/cvbase)


`cvbase` is a miscellaneous set of tools which maybe helpful for computer vision research.
It comprises the following parts.

- IO helpers
- Image/Video operations
- OpenCV wrappers for python2/3 and opencv 2/3
- Timer
- Progress visualization
- Plotting tools
- Object detection utils

Try and start with

```shell
pip install cvbase
```

See [documentation](http://cvbase.readthedocs.io/en/latest) for more features and usage.

## Some popular features
There are some popular features such as progress visualization, timer, video to frames/frames to videos.


- Progress visualization

    If you want to apply a method to a list of items and track the progress, `track_progress`
    is a good choice. It will display a progress bar to tell the progress and ETA.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_progress(func, tasks)
    ```

    The output is like the following.
    ![progress](docs/_static/progress.gif)

    There is another method `track_parallel_progress`, which wraps multiprocessing and
    progress visualization.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_parallel_progress(func, tasks, 8)
    # 8 workers
    ```

- Timer

    It is convinient to computer the runtime of a code block with `Timer`.

    ```python
    import time

    with cvb.Timer():
        # simulate some code block
        time.sleep(1)
    ```

    Or try a more flexible way.

    ```python
    timer = cvb.Timer()
    # code block 1 here
    print(timer.since_start())
    # code block 2 here
    print(timer.since_last_check())
    print(timer.since_start())
    ```

- Video/Frames conversion

    To split a video into frames.

    ```python
    video = cvb.VideoReader('video_file.mp4')
    video.cvt2frames('frame_dir')
    ```
    Besides `cvt2frames`, `VideoReader` wraps many other useful methods to operate a video like a list object, like

    ```
    video = cvb.VideoReader('video_file.mp4')
    len(video)  # get total frame number
    video[5]  # get the 6th frame
    for img in video:  # iterate over all frames
        print(img.shape)
    ```

    To generate a video from frames, use the `frames2video` method.

    ```python
    video = cvb.frames2video('frame_dir', 'out_video_file.avi', fps=30)
    ```

- Video editing (needs ffmpeg)

    To cut a video.

    ```python
    cvb.cut_video('input.mp4', 'output.mp4', start=3, end=10)
    ```

    To join two video clips.

    ```python
    cvb.concat_video(['clip1.mp4', 'clip2.mp4'], 'output.mp4')
    ```

    To resize a video.

    ```python
    cvb.resize_video('input.mp4', 'resized.mp4', (360, 240))
    # or
    cvb.resize_video('input.mp4', 'resized.mp4', ratio=2)
    ```

    To convert the format of a video.

    ```python
    cvb.convert_video('input.avi', 'output.mp4', vcodec='h264')
    ```





%package -n python3-cvbase
Summary:	Utils for computer vision research
Provides:	python-cvbase
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-cvbase
# Introduction

[![PyPI Version](https://img.shields.io/pypi/v/cvbase.svg)](https://pypi.python.org/pypi/cvbase)
[![Python Version](https://img.shields.io/pypi/pyversions/cvbase.svg)]()
[![Build Status](https://travis-ci.org/hellock/cvbase.svg?branch=master)](https://travis-ci.org/hellock/cvbase)
[![Coverage Status](https://codecov.io/gh/hellock/cvbase/branch/master/graph/badge.svg)](https://codecov.io/gh/hellock/cvbase)


`cvbase` is a miscellaneous set of tools which maybe helpful for computer vision research.
It comprises the following parts.

- IO helpers
- Image/Video operations
- OpenCV wrappers for python2/3 and opencv 2/3
- Timer
- Progress visualization
- Plotting tools
- Object detection utils

Try and start with

```shell
pip install cvbase
```

See [documentation](http://cvbase.readthedocs.io/en/latest) for more features and usage.

## Some popular features
There are some popular features such as progress visualization, timer, video to frames/frames to videos.


- Progress visualization

    If you want to apply a method to a list of items and track the progress, `track_progress`
    is a good choice. It will display a progress bar to tell the progress and ETA.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_progress(func, tasks)
    ```

    The output is like the following.
    ![progress](docs/_static/progress.gif)

    There is another method `track_parallel_progress`, which wraps multiprocessing and
    progress visualization.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_parallel_progress(func, tasks, 8)
    # 8 workers
    ```

- Timer

    It is convinient to computer the runtime of a code block with `Timer`.

    ```python
    import time

    with cvb.Timer():
        # simulate some code block
        time.sleep(1)
    ```

    Or try a more flexible way.

    ```python
    timer = cvb.Timer()
    # code block 1 here
    print(timer.since_start())
    # code block 2 here
    print(timer.since_last_check())
    print(timer.since_start())
    ```

- Video/Frames conversion

    To split a video into frames.

    ```python
    video = cvb.VideoReader('video_file.mp4')
    video.cvt2frames('frame_dir')
    ```
    Besides `cvt2frames`, `VideoReader` wraps many other useful methods to operate a video like a list object, like

    ```
    video = cvb.VideoReader('video_file.mp4')
    len(video)  # get total frame number
    video[5]  # get the 6th frame
    for img in video:  # iterate over all frames
        print(img.shape)
    ```

    To generate a video from frames, use the `frames2video` method.

    ```python
    video = cvb.frames2video('frame_dir', 'out_video_file.avi', fps=30)
    ```

- Video editing (needs ffmpeg)

    To cut a video.

    ```python
    cvb.cut_video('input.mp4', 'output.mp4', start=3, end=10)
    ```

    To join two video clips.

    ```python
    cvb.concat_video(['clip1.mp4', 'clip2.mp4'], 'output.mp4')
    ```

    To resize a video.

    ```python
    cvb.resize_video('input.mp4', 'resized.mp4', (360, 240))
    # or
    cvb.resize_video('input.mp4', 'resized.mp4', ratio=2)
    ```

    To convert the format of a video.

    ```python
    cvb.convert_video('input.avi', 'output.mp4', vcodec='h264')
    ```





%package help
Summary:	Development documents and examples for cvbase
Provides:	python3-cvbase-doc
%description help
# Introduction

[![PyPI Version](https://img.shields.io/pypi/v/cvbase.svg)](https://pypi.python.org/pypi/cvbase)
[![Python Version](https://img.shields.io/pypi/pyversions/cvbase.svg)]()
[![Build Status](https://travis-ci.org/hellock/cvbase.svg?branch=master)](https://travis-ci.org/hellock/cvbase)
[![Coverage Status](https://codecov.io/gh/hellock/cvbase/branch/master/graph/badge.svg)](https://codecov.io/gh/hellock/cvbase)


`cvbase` is a miscellaneous set of tools which maybe helpful for computer vision research.
It comprises the following parts.

- IO helpers
- Image/Video operations
- OpenCV wrappers for python2/3 and opencv 2/3
- Timer
- Progress visualization
- Plotting tools
- Object detection utils

Try and start with

```shell
pip install cvbase
```

See [documentation](http://cvbase.readthedocs.io/en/latest) for more features and usage.

## Some popular features
There are some popular features such as progress visualization, timer, video to frames/frames to videos.


- Progress visualization

    If you want to apply a method to a list of items and track the progress, `track_progress`
    is a good choice. It will display a progress bar to tell the progress and ETA.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_progress(func, tasks)
    ```

    The output is like the following.
    ![progress](docs/_static/progress.gif)

    There is another method `track_parallel_progress`, which wraps multiprocessing and
    progress visualization.

    ```python
    import cvbase as cvb

    def func(item):
        # do something
        pass

    tasks = [item_1, item_2, ..., item_n]

    cvb.track_parallel_progress(func, tasks, 8)
    # 8 workers
    ```

- Timer

    It is convinient to computer the runtime of a code block with `Timer`.

    ```python
    import time

    with cvb.Timer():
        # simulate some code block
        time.sleep(1)
    ```

    Or try a more flexible way.

    ```python
    timer = cvb.Timer()
    # code block 1 here
    print(timer.since_start())
    # code block 2 here
    print(timer.since_last_check())
    print(timer.since_start())
    ```

- Video/Frames conversion

    To split a video into frames.

    ```python
    video = cvb.VideoReader('video_file.mp4')
    video.cvt2frames('frame_dir')
    ```
    Besides `cvt2frames`, `VideoReader` wraps many other useful methods to operate a video like a list object, like

    ```
    video = cvb.VideoReader('video_file.mp4')
    len(video)  # get total frame number
    video[5]  # get the 6th frame
    for img in video:  # iterate over all frames
        print(img.shape)
    ```

    To generate a video from frames, use the `frames2video` method.

    ```python
    video = cvb.frames2video('frame_dir', 'out_video_file.avi', fps=30)
    ```

- Video editing (needs ffmpeg)

    To cut a video.

    ```python
    cvb.cut_video('input.mp4', 'output.mp4', start=3, end=10)
    ```

    To join two video clips.

    ```python
    cvb.concat_video(['clip1.mp4', 'clip2.mp4'], 'output.mp4')
    ```

    To resize a video.

    ```python
    cvb.resize_video('input.mp4', 'resized.mp4', (360, 240))
    # or
    cvb.resize_video('input.mp4', 'resized.mp4', ratio=2)
    ```

    To convert the format of a video.

    ```python
    cvb.convert_video('input.avi', 'output.mp4', vcodec='h264')
    ```





%prep
%autosetup -n cvbase-0.5.5

%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-cvbase -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.5-1
- Package Spec generated