%global _empty_manifest_terminate_build 0
Name:		pytorchvideo
Version:	0.1.3
Release:	1
Summary:	A deep learning library for video understanding research.
License:	BSD License
URL:		https://pytorchvideo.org/
Source0:	https://github.com/facebookresearch/pytorchvideo/archive/refs/tags/%{version}.tar.gz

BuildRequires:  g++
Requires:	python3-fvcore
Requires:	python3-iopath

%description
pytorchvideo provides efficient, reusable components for 3D Computer Vision research with PyTorch.
Key features include:
- Data structure for storing and manipulating triangle meshes
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer
- Implicitron, see its README, a framework for new-view synthesis via implicit representations.

%package -n python3-pytorchvideo
Summary:	A deep learning library for video understanding research.
Provides:	python-pytorchvideo

BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-setuptools_scm
BuildRequires:	python3-pbr
BuildRequires:	python3-pip
BuildRequires:	python3-wheel
BuildRequires:	python3-hatchling

BuildRequires:	python3-pytorch
BuildRequires:	python3-torchvision
BuildRequires:	python3-fvcore
BuildRequires:	python3-iopath
BuildRequires:	ninja-build

%description -n python3-pytorchvideo
PyTorchVideo is a deeplearning library with a focus on video understanding work. PytorchVideo provides reusable, 
modular and efficient components needed to accelerate the video understanding research. 
PyTorchVideo is developed using PyTorch and supports different deeplearning video components like video models, 
video datasets, and video-specific transforms.

%package help
Summary:	Development documents and examples for pytorchvideo
Provides:	python3-pytorchvideo-doc
%description help
PyTorchVideo is a deeplearning library with a focus on video understanding work. PytorchVideo provides reusable, 
modular and efficient components needed to accelerate the video understanding research. 
PyTorchVideo is developed using PyTorch and supports different deeplearning video components like video models, 
video datasets, and video-specific transforms.


%prep
%autosetup -p1 -n %{name}-%{version}

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
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}/doclist.lst .

%files -n python3-pytorchvideo
%doc *.md
%license LICENSE
%{python3_sitelib}/*

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

%changelog
* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 0.1.3-1
- Package init