%global _empty_manifest_terminate_build 0
Name:		python-dnnlab
Version:	2.2.5
Release:	1
Summary:	DnnLab
License:	Apache Software License
URL:		https://pypi.org/project/dnnlab/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/4e/05/13de5b2635ea6158bcc084e433ac34cb5ea1e7a6c523e13b5747217137d7/dnnlab-2.2.5.tar.gz
BuildArch:	noarch

Requires:	python3-Cython
Requires:	python3-numpy
Requires:	python3-pycocotools
Requires:	python3-Click
Requires:	python3-opencv-python
Requires:	python3-imgaug
Requires:	python3-matplotlib

%description
# DnnLab
Dnnlab is a small framework for deep learning models based on TensorFlow.



It provides custom training loops for:
* Generative Models (GAN, cGan, cycleGAN)
* Image Detection (custom YOLO)


Additonaly custom Keras Layer:
* Non-Local-Blocks (Self-Attention)
* Squeeze and Excitation Blocks (SEBlocks)
* YOLO-Decoding Layer

Input pipeline functionality:
* YOLO (Tfrecords to Datasets)
* YOLO data augmentation
* Generative Models (Tfrecords to Datasets)

TensorBoard output:
* YOLO coco metrics (Precision (mAP) & Recall)
* YOLO loss (loss_class, loss_conf, loss_xywh, total_loss)
* YOLO bounding boxes
* Generative Models (Loss & Images)


## Requirements
TensorFlow 2.3.0

## Installation
Run the following to install:
```python
pip install dnnlab
```











%package -n python3-dnnlab
Summary:	DnnLab
Provides:	python-dnnlab
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-dnnlab
# DnnLab
Dnnlab is a small framework for deep learning models based on TensorFlow.



It provides custom training loops for:
* Generative Models (GAN, cGan, cycleGAN)
* Image Detection (custom YOLO)


Additonaly custom Keras Layer:
* Non-Local-Blocks (Self-Attention)
* Squeeze and Excitation Blocks (SEBlocks)
* YOLO-Decoding Layer

Input pipeline functionality:
* YOLO (Tfrecords to Datasets)
* YOLO data augmentation
* Generative Models (Tfrecords to Datasets)

TensorBoard output:
* YOLO coco metrics (Precision (mAP) & Recall)
* YOLO loss (loss_class, loss_conf, loss_xywh, total_loss)
* YOLO bounding boxes
* Generative Models (Loss & Images)


## Requirements
TensorFlow 2.3.0

## Installation
Run the following to install:
```python
pip install dnnlab
```











%package help
Summary:	Development documents and examples for dnnlab
Provides:	python3-dnnlab-doc
%description help
# DnnLab
Dnnlab is a small framework for deep learning models based on TensorFlow.



It provides custom training loops for:
* Generative Models (GAN, cGan, cycleGAN)
* Image Detection (custom YOLO)


Additonaly custom Keras Layer:
* Non-Local-Blocks (Self-Attention)
* Squeeze and Excitation Blocks (SEBlocks)
* YOLO-Decoding Layer

Input pipeline functionality:
* YOLO (Tfrecords to Datasets)
* YOLO data augmentation
* Generative Models (Tfrecords to Datasets)

TensorBoard output:
* YOLO coco metrics (Precision (mAP) & Recall)
* YOLO loss (loss_class, loss_conf, loss_xywh, total_loss)
* YOLO bounding boxes
* Generative Models (Loss & Images)


## Requirements
TensorFlow 2.3.0

## Installation
Run the following to install:
```python
pip install dnnlab
```











%prep
%autosetup -n dnnlab-2.2.5

%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-dnnlab -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.5-1
- Package Spec generated