automatic import of python-vipy

3 files changed, 168 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..854bbed 100644
--- a/.gitignore
+++ b/.gitignore
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+/vipy-1.14.4.tar.gz
diff --git a/python-vipy.spec b/python-vipy.spec
new file mode 100644
index 0000000..fdfab80
--- /dev/null
+++ b/python-vipy.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-vipy
+Version:	1.14.4
+Release:	1
+Summary:	Python Tools for Visual Dataset Transformation
+License:	MIT License
+URL:		https://github.com/visym/vipy
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b6/d0/380f52b8ce9592c492a4be369ad25c0ce31d6de7e1ef3e0fe29ab70b3187/vipy-1.14.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-matplotlib
+Requires:	python3-dill
+Requires:	python3-pillow
+Requires:	python3-ffmpeg-python
+Requires:	python3-scikit-build
+Requires:	python3-scipy
+Requires:	python3-opencv-python
+Requires:	python3-torch
+Requires:	python3-ipython
+Requires:	python3-scikit-learn
+Requires:	python3-boto3
+Requires:	python3-youtube-dl
+Requires:	python3-dask
+Requires:	python3-distributed
+Requires:	python3-h5py
+Requires:	python3-nltk
+Requires:	python3-bs4
+Requires:	python3-pyyaml
+Requires:	python3-pytest
+Requires:	python3-paramiko
+Requires:	python3-scp
+Requires:	python3-ujson
+Requires:	python3-pdoc3
+Requires:	python3-dill
+Requires:	python3-pillow
+Requires:	python3-numpy
+Requires:	python3-matplotlib
+Requires:	python3-ffmpeg-python
+Requires:	python3-heyvi
+Requires:	python3-scikit-build
+Requires:	python3-scipy
+Requires:	python3-opencv-python
+Requires:	python3-torch
+Requires:	python3-ipython
+Requires:	python3-scikit-learn
+Requires:	python3-boto3
+Requires:	python3-youtube-dl
+Requires:	python3-dask
+Requires:	python3-distributed
+Requires:	python3-h5py
+Requires:	python3-nltk
+Requires:	python3-bs4
+Requires:	python3-pyyaml
+Requires:	python3-pytest
+Requires:	python3-paramiko
+Requires:	python3-scp
+Requires:	python3-ujson
+Requires:	python3-numba
+Requires:	python3-pdoc3
+Requires:	python3-dill
+Requires:	python3-pillow
+Requires:	python3-numpy
+Requires:	python3-matplotlib
+Requires:	python3-ffmpeg-python
+Requires:	python3-heyvi
+Requires:	python3-ujson
+Requires:	python3-numba
+
+%description
+VIPY: Python Tools for Visual Dataset Transformation    
+Documentation: https://visym.github.io/vipy
+VIPY is a python package for representation, transformation and visualization of annotated videos and images.  Annotations are the ground truth provided by labelers (e.g. object bounding boxes, face identities, temporal activity clips), suitable for training computer vision systems.  VIPY provides tools to easily edit videos and images so that the annotations are transformed along with the pixels.  This enables a clean interface for transforming complex datasets for input to your computer vision training and testing pipeline.
+VIPY provides:  
+* Representation of videos with labeled activities that can be resized, clipped, rotated, scaled, padded, cropped and resampled
+* Representation of images with object bounding boxes that can be manipulated as easily as editing an image
+* Clean visualization of annotated images and videos 
+* Lazy loading of images and videos suitable for distributed processing (e.g. dask, spark)
+* Straightforward integration into machine learning toolchains (e.g. torch, numpy)
+* Fluent interface for chaining operations on videos and images
+* Dataset download, unpack and import (e.g. Charades, AVA, ActivityNet, Kinetics, Moments in Time)
+* Minimum dependencies for easy installation (e.g. AWS Lambda, Flask)
+[![VIPY MEVA dataset visualization](http://i3.ytimg.com/vi/_jixHQr5dK4/maxresdefault.jpg)](https://youtu.be/_jixHQr5dK4)
+
+%package -n python3-vipy
+Summary:	Python Tools for Visual Dataset Transformation
+Provides:	python-vipy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-vipy
+VIPY: Python Tools for Visual Dataset Transformation    
+Documentation: https://visym.github.io/vipy
+VIPY is a python package for representation, transformation and visualization of annotated videos and images.  Annotations are the ground truth provided by labelers (e.g. object bounding boxes, face identities, temporal activity clips), suitable for training computer vision systems.  VIPY provides tools to easily edit videos and images so that the annotations are transformed along with the pixels.  This enables a clean interface for transforming complex datasets for input to your computer vision training and testing pipeline.
+VIPY provides:  
+* Representation of videos with labeled activities that can be resized, clipped, rotated, scaled, padded, cropped and resampled
+* Representation of images with object bounding boxes that can be manipulated as easily as editing an image
+* Clean visualization of annotated images and videos 
+* Lazy loading of images and videos suitable for distributed processing (e.g. dask, spark)
+* Straightforward integration into machine learning toolchains (e.g. torch, numpy)
+* Fluent interface for chaining operations on videos and images
+* Dataset download, unpack and import (e.g. Charades, AVA, ActivityNet, Kinetics, Moments in Time)
+* Minimum dependencies for easy installation (e.g. AWS Lambda, Flask)
+[![VIPY MEVA dataset visualization](http://i3.ytimg.com/vi/_jixHQr5dK4/maxresdefault.jpg)](https://youtu.be/_jixHQr5dK4)
+
+%package help
+Summary:	Development documents and examples for vipy
+Provides:	python3-vipy-doc
+%description help
+VIPY: Python Tools for Visual Dataset Transformation    
+Documentation: https://visym.github.io/vipy
+VIPY is a python package for representation, transformation and visualization of annotated videos and images.  Annotations are the ground truth provided by labelers (e.g. object bounding boxes, face identities, temporal activity clips), suitable for training computer vision systems.  VIPY provides tools to easily edit videos and images so that the annotations are transformed along with the pixels.  This enables a clean interface for transforming complex datasets for input to your computer vision training and testing pipeline.
+VIPY provides:  
+* Representation of videos with labeled activities that can be resized, clipped, rotated, scaled, padded, cropped and resampled
+* Representation of images with object bounding boxes that can be manipulated as easily as editing an image
+* Clean visualization of annotated images and videos 
+* Lazy loading of images and videos suitable for distributed processing (e.g. dask, spark)
+* Straightforward integration into machine learning toolchains (e.g. torch, numpy)
+* Fluent interface for chaining operations on videos and images
+* Dataset download, unpack and import (e.g. Charades, AVA, ActivityNet, Kinetics, Moments in Time)
+* Minimum dependencies for easy installation (e.g. AWS Lambda, Flask)
+[![VIPY MEVA dataset visualization](http://i3.ytimg.com/vi/_jixHQr5dK4/maxresdefault.jpg)](https://youtu.be/_jixHQr5dK4)
+
+%prep
+%autosetup -n vipy-1.14.4
+
+%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-vipy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.14.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..2be529e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+047d408663977704c8e616ebaab331bb  vipy-1.14.4.tar.gz