diff options
| author | CoprDistGit <infra@openeuler.org> | 2024-04-15 17:30:13 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2024-04-15 17:30:13 +0000 |
| commit | 0f35927c38cefce5719925073935f98a06866800 (patch) | |
| tree | c8af1703be96bcf636361859c52dee6dc7e5b33f | |
| parent | 7e365e548fdaebcd17659bdc5655533e60bf5117 (diff) | |
automatic import of pytorch3d
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | sources | 1 | ||||
| -rw-r--r-- | torch3d.spec | 61 |
3 files changed, 63 insertions, 0 deletions
@@ -0,0 +1 @@ +/pytorch3d-0.7.5.zip @@ -0,0 +1 @@ +7453cd390689a8d35ea6785b8080ccc8 pytorch3d-0.7.5.zip diff --git a/torch3d.spec b/torch3d.spec new file mode 100644 index 0000000..e73bbc3 --- /dev/null +++ b/torch3d.spec @@ -0,0 +1,61 @@ +%global _empty_manifest_terminate_build 0
+Name: pytorch3d
+Version: 0.7.5
+Release: 1
+Summary: PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
+License: BSD
+URL: https://pytorch3d.org/
+Source0: https://github.com/facebookresearch/pytorch3d/archive/refs/tags/v%{version}.zip#/%{name}-%{version}.zip
+
+BuildRequires: g++
+Requires: python3-fvcore
+Requires: python3-iopath
+
+%description
+PyTorch3D 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-pytorch3d
+Summary: PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
+Provides: python-pytorch3d
+
+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
+
+%description -n python3-pytorch3d
+PyTorch3D 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.
+
+%prep
+%autosetup -p1 -n %{name}-%{version}
+
+%build
+%py3_build
+
+%install
+%py3_install
+
+%files -n python3-pytorch3d
+%doc *.md
+%license LICENSE
+%{_bindir}/pytorch3d_implicitron_runner
+%{_bindir}/pytorch3d_implicitron_visualizer
+%{python3_sitearch}/*
+
+%changelog
+* Mon Apr 15 2024 weilaijishu
+- Initial package |