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@@ -0,0 +1 @@ +/cvbase-0.5.5.tar.gz diff --git a/python-cvbase.spec b/python-cvbase.spec new file mode 100644 index 0000000..8c3ca2e --- /dev/null +++ b/python-cvbase.spec @@ -0,0 +1,508 @@ +%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.nju.edu.cn/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 + +[](https://pypi.python.org/pypi/cvbase) +[]() +[](https://travis-ci.org/hellock/cvbase) +[](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. +  + + 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 + +[](https://pypi.python.org/pypi/cvbase) +[]() +[](https://travis-ci.org/hellock/cvbase) +[](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. +  + + 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 + +[](https://pypi.python.org/pypi/cvbase) +[]() +[](https://travis-ci.org/hellock/cvbase) +[](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. +  + + 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 +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.5-1 +- Package Spec generated @@ -0,0 +1 @@ +be91526e703434b4cd5e396998ee2589 cvbase-0.5.5.tar.gz |