%global _empty_manifest_terminate_build 0
Name:		python-keras-unet-collection
Version:	0.1.13
Release:	1
Summary:	The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
License:	MIT License
URL:		https://github.com/yingkaisha/keras-unet-collection
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/de/ff/327b15609e498354cc15909280953b72f35854d33bc5fb9554e300e7968a/keras-unet-collection-0.1.13.tar.gz
BuildArch:	noarch


%description
`keras_unet_collection.models` contains functions that configure keras models with hyper-parameter options. 
* Pre-trained ImageNet backbones are supported for U-net, U-net++, UNET 3+, Attention U-net, and TransUNET.
* Deep supervision is supported for U-net++, UNET 3+, and U^2-Net.
* See the [User guide](https://github.com/yingkaisha/keras-unet-collection/blob/main/examples/user_guide_models.ipynb) for other options and use cases.
| `keras_unet_collection.models` | Name | Reference |
|:---------------|:----------------|:----------------|
| `unet_2d`      | U-net           | [Ronneberger et al. (2015)](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) |
| `vnet_2d`      | V-net (modified for 2-d inputs) | [Milletari et al. (2016)](https://arxiv.org/abs/1606.04797) |
| `unet_plus_2d` | U-net++         | [Zhou et al. (2018)](https://link.springer.com/chapter/10.1007/978-3-030-00889-5_1) |
| `r2_unet_2d`   | R2U-Net         | [Alom et al. (2018)](https://arxiv.org/abs/1802.06955) |
| `att_unet_2d`  | Attention U-net | [Oktay et al. (2018)](https://arxiv.org/abs/1804.03999) |
| `resunet_a_2d` | ResUnet-a       | [Diakogiannis et al. (2020)](https://doi.org/10.1016/j.isprsjprs.2020.01.013) |
| `u2net_2d`     | U^2-Net         | [Qin et al. (2020)](https://arxiv.org/abs/2005.09007) |
| `unet_3plus_2d` | UNET 3+        | [Huang et al. (2020)](https://arxiv.org/abs/2004.08790) |
| `transunet_2d` | TransUNET       | [Chen et al. (2021)](https://arxiv.org/abs/2102.04306) |
| `swin_unet_2d` | Swin-UNET       | [Hu et al. (2021)](https://arxiv.org/abs/2105.05537) |

%package -n python3-keras-unet-collection
Summary:	The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Provides:	python-keras-unet-collection
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-keras-unet-collection
`keras_unet_collection.models` contains functions that configure keras models with hyper-parameter options. 
* Pre-trained ImageNet backbones are supported for U-net, U-net++, UNET 3+, Attention U-net, and TransUNET.
* Deep supervision is supported for U-net++, UNET 3+, and U^2-Net.
* See the [User guide](https://github.com/yingkaisha/keras-unet-collection/blob/main/examples/user_guide_models.ipynb) for other options and use cases.
| `keras_unet_collection.models` | Name | Reference |
|:---------------|:----------------|:----------------|
| `unet_2d`      | U-net           | [Ronneberger et al. (2015)](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) |
| `vnet_2d`      | V-net (modified for 2-d inputs) | [Milletari et al. (2016)](https://arxiv.org/abs/1606.04797) |
| `unet_plus_2d` | U-net++         | [Zhou et al. (2018)](https://link.springer.com/chapter/10.1007/978-3-030-00889-5_1) |
| `r2_unet_2d`   | R2U-Net         | [Alom et al. (2018)](https://arxiv.org/abs/1802.06955) |
| `att_unet_2d`  | Attention U-net | [Oktay et al. (2018)](https://arxiv.org/abs/1804.03999) |
| `resunet_a_2d` | ResUnet-a       | [Diakogiannis et al. (2020)](https://doi.org/10.1016/j.isprsjprs.2020.01.013) |
| `u2net_2d`     | U^2-Net         | [Qin et al. (2020)](https://arxiv.org/abs/2005.09007) |
| `unet_3plus_2d` | UNET 3+        | [Huang et al. (2020)](https://arxiv.org/abs/2004.08790) |
| `transunet_2d` | TransUNET       | [Chen et al. (2021)](https://arxiv.org/abs/2102.04306) |
| `swin_unet_2d` | Swin-UNET       | [Hu et al. (2021)](https://arxiv.org/abs/2105.05537) |

%package help
Summary:	Development documents and examples for keras-unet-collection
Provides:	python3-keras-unet-collection-doc
%description help
`keras_unet_collection.models` contains functions that configure keras models with hyper-parameter options. 
* Pre-trained ImageNet backbones are supported for U-net, U-net++, UNET 3+, Attention U-net, and TransUNET.
* Deep supervision is supported for U-net++, UNET 3+, and U^2-Net.
* See the [User guide](https://github.com/yingkaisha/keras-unet-collection/blob/main/examples/user_guide_models.ipynb) for other options and use cases.
| `keras_unet_collection.models` | Name | Reference |
|:---------------|:----------------|:----------------|
| `unet_2d`      | U-net           | [Ronneberger et al. (2015)](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) |
| `vnet_2d`      | V-net (modified for 2-d inputs) | [Milletari et al. (2016)](https://arxiv.org/abs/1606.04797) |
| `unet_plus_2d` | U-net++         | [Zhou et al. (2018)](https://link.springer.com/chapter/10.1007/978-3-030-00889-5_1) |
| `r2_unet_2d`   | R2U-Net         | [Alom et al. (2018)](https://arxiv.org/abs/1802.06955) |
| `att_unet_2d`  | Attention U-net | [Oktay et al. (2018)](https://arxiv.org/abs/1804.03999) |
| `resunet_a_2d` | ResUnet-a       | [Diakogiannis et al. (2020)](https://doi.org/10.1016/j.isprsjprs.2020.01.013) |
| `u2net_2d`     | U^2-Net         | [Qin et al. (2020)](https://arxiv.org/abs/2005.09007) |
| `unet_3plus_2d` | UNET 3+        | [Huang et al. (2020)](https://arxiv.org/abs/2004.08790) |
| `transunet_2d` | TransUNET       | [Chen et al. (2021)](https://arxiv.org/abs/2102.04306) |
| `swin_unet_2d` | Swin-UNET       | [Hu et al. (2021)](https://arxiv.org/abs/2105.05537) |

%prep
%autosetup -n keras-unet-collection-0.1.13

%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-keras-unet-collection -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.13-1
- Package Spec generated