automatic import of python-facenet-pytorch

3 files changed, 123 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..55fb37e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/facenet-pytorch-2.5.3.tar.gz
diff --git a/python-facenet-pytorch.spec b/python-facenet-pytorch.spec
new file mode 100644
index 0000000..e55d4bb
--- /dev/null
+++ b/python-facenet-pytorch.spec
@@ -0,0 +1,121 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-facenet-pytorch
+Version:	2.5.3
+Release:	1
+Summary:	Pretrained Pytorch face detection and recognition models
+License:	MIT License
+URL:		https://github.com/timesler/facenet-pytorch
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/80/cd/29d55c5d8675c7f8892c9b79288b633cd97b276d8fb24952f1e74fb7bfcc/facenet-pytorch-2.5.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-requests
+Requires:	python3-torchvision
+Requires:	python3-pillow
+
+%description
+`>>> compare_model_outputs(mdl, sess, torch.randn(5, 160, 160, 3).detach())`
+```
+Passing test data through TF model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]])
+Passing test data through PT model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]],
+       grad_fn=<DivBackward0>)
+Distance 1.2874517096861382e-06
+
+%package -n python3-facenet-pytorch
+Summary:	Pretrained Pytorch face detection and recognition models
+Provides:	python-facenet-pytorch
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-facenet-pytorch
+`>>> compare_model_outputs(mdl, sess, torch.randn(5, 160, 160, 3).detach())`
+```
+Passing test data through TF model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]])
+Passing test data through PT model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]],
+       grad_fn=<DivBackward0>)
+Distance 1.2874517096861382e-06
+
+%package help
+Summary:	Development documents and examples for facenet-pytorch
+Provides:	python3-facenet-pytorch-doc
+%description help
+`>>> compare_model_outputs(mdl, sess, torch.randn(5, 160, 160, 3).detach())`
+```
+Passing test data through TF model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]])
+Passing test data through PT model
+tensor([[-0.0142,  0.0615,  0.0057,  ...,  0.0497,  0.0375, -0.0838],
+        [-0.0139,  0.0611,  0.0054,  ...,  0.0472,  0.0343, -0.0850],
+        [-0.0238,  0.0619,  0.0124,  ...,  0.0598,  0.0334, -0.0852],
+        [-0.0089,  0.0548,  0.0032,  ...,  0.0506,  0.0337, -0.0881],
+        [-0.0173,  0.0630, -0.0042,  ...,  0.0487,  0.0295, -0.0791]],
+       grad_fn=<DivBackward0>)
+Distance 1.2874517096861382e-06
+
+%prep
+%autosetup -n facenet-pytorch-2.5.3
+
+%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-facenet-pytorch -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 2.5.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..74173b3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+937f99f3bff487c56fb065f22e429a7d  facenet-pytorch-2.5.3.tar.gz