%global _empty_manifest_terminate_build 0
Name:		python-icevision
Version:	0.12.0
Release:	1
Summary:	Agnostic Computer Vision Framework
License:	Apache-2.0
URL:		https://pypi.org/project/icevision/
Source0:	https://mirrors.aliyun.com/pypi/web/packages/07/09/540d089cacba6f62efd6f0ee3e216b5f3ff598a10f85b1eeb76f171e18ee/icevision-0.12.0.tar.gz
BuildArch:	noarch

Requires:	python3-pillow
Requires:	python3-torch
Requires:	python3-torchvision
Requires:	python3-fastcore
Requires:	python3-tqdm
Requires:	python3-opencv-python
Requires:	python3-albumentations
Requires:	python3-resnest
Requires:	python3-effdet
Requires:	python3-sahi
Requires:	python3-yolov5-icevision
Requires:	python3-ipykernel
Requires:	python3-dataclasses
Requires:	python3-loguru
Requires:	python3-importlib-metadata
Requires:	python3-fastai
Requires:	python3-pytorch-lightning
Requires:	python3-wandb
Requires:	python3-icevision[all]
Requires:	python3-keras-autodoc
Requires:	python3-black
Requires:	python3-pytest
Requires:	python3-mkdocs
Requires:	python3-mkdocs-material
Requires:	python3-mike
Requires:	python3-jupyter
Requires:	python3-Sphinx
Requires:	python3-pytest-cov
Requires:	python3-flake8
Requires:	python3-pre-commit
Requires:	python3-pytest-mock
Requires:	python3-icevision

%description
<div align="center">
  <img src="images/icevision-logo-slogan.png" alt="logo" width="535px" style="display: block; margin-left: auto; margin-right: auto"/>
  <h2><b>An Agnostic Object Detection Framework</b></h2>
</div>

* * * * *

    
[![tests](https://github.com/airctic/icevision/workflows/tests/badge.svg?event=push)](https://github.com/airctic/icevision/actions?query=workflow%3Atests)
[![docs](https://github.com/airctic/icevision/workflows/docs/badge.svg)](https://airctic.com)
[![codecov](https://codecov.io/gh/airctic/icevision/branch/master/graph/badge.svg)](https://codecov.io/gh/airctic/icevision)
[![PyPI version](https://badge.fury.io/py/icevision.svg)](https://badge.fury.io/py/icevision)
[![Downloads](https://pepy.tech/badge/icevision)](https://pepy.tech/project/icevision)

[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/airctic/icevision/blob/master/LICENSE)
[![Discord](https://img.shields.io/discord/735877944085446747?label=Discord&logo=Discord)](https://discord.gg/2jqrwrQ)

</div>


* * * * *

IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai

**IceVision Unique Features:**

- Data curation/cleaning with auto-fix

- Access to an exploratory data analysis dashboard

- Pluggable transforms for better model generalization 

- Access to hundreds of neural net models

- Access to multiple training loop libraries

- Multi-task training to efficiently combine object detection, segmentation, and classification models 

<!-- Not included in docs - start -->

## Installation

```bash
pip install icevision[all]
```

For more installation options, check our [docs](https://airctic.com/0.7.0/install/).

**Important:** We currently only support Linux/MacOS.
<!-- Not included in docs - end -->

## Quick Example: How to train the **Fridge Objects Dataset**
<a href="https://colab.research.google.com/github/airctic/icevision/blob/master/notebooks/getting_started_object_detection.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
![image](images/icevision-readme.png)

![image](images/icevision-end-to-end-training.gif)

## Happy Learning!
If you need any assistance, feel free to:

[Join our Forum](https://discord.gg/JDBeZYK)




%package -n python3-icevision
Summary:	Agnostic Computer Vision Framework
Provides:	python-icevision
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-icevision
<div align="center">
  <img src="images/icevision-logo-slogan.png" alt="logo" width="535px" style="display: block; margin-left: auto; margin-right: auto"/>
  <h2><b>An Agnostic Object Detection Framework</b></h2>
</div>

* * * * *

    
[![tests](https://github.com/airctic/icevision/workflows/tests/badge.svg?event=push)](https://github.com/airctic/icevision/actions?query=workflow%3Atests)
[![docs](https://github.com/airctic/icevision/workflows/docs/badge.svg)](https://airctic.com)
[![codecov](https://codecov.io/gh/airctic/icevision/branch/master/graph/badge.svg)](https://codecov.io/gh/airctic/icevision)
[![PyPI version](https://badge.fury.io/py/icevision.svg)](https://badge.fury.io/py/icevision)
[![Downloads](https://pepy.tech/badge/icevision)](https://pepy.tech/project/icevision)

[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/airctic/icevision/blob/master/LICENSE)
[![Discord](https://img.shields.io/discord/735877944085446747?label=Discord&logo=Discord)](https://discord.gg/2jqrwrQ)

</div>


* * * * *

IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai

**IceVision Unique Features:**

- Data curation/cleaning with auto-fix

- Access to an exploratory data analysis dashboard

- Pluggable transforms for better model generalization 

- Access to hundreds of neural net models

- Access to multiple training loop libraries

- Multi-task training to efficiently combine object detection, segmentation, and classification models 

<!-- Not included in docs - start -->

## Installation

```bash
pip install icevision[all]
```

For more installation options, check our [docs](https://airctic.com/0.7.0/install/).

**Important:** We currently only support Linux/MacOS.
<!-- Not included in docs - end -->

## Quick Example: How to train the **Fridge Objects Dataset**
<a href="https://colab.research.google.com/github/airctic/icevision/blob/master/notebooks/getting_started_object_detection.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
![image](images/icevision-readme.png)

![image](images/icevision-end-to-end-training.gif)

## Happy Learning!
If you need any assistance, feel free to:

[Join our Forum](https://discord.gg/JDBeZYK)




%package help
Summary:	Development documents and examples for icevision
Provides:	python3-icevision-doc
%description help
<div align="center">
  <img src="images/icevision-logo-slogan.png" alt="logo" width="535px" style="display: block; margin-left: auto; margin-right: auto"/>
  <h2><b>An Agnostic Object Detection Framework</b></h2>
</div>

* * * * *

    
[![tests](https://github.com/airctic/icevision/workflows/tests/badge.svg?event=push)](https://github.com/airctic/icevision/actions?query=workflow%3Atests)
[![docs](https://github.com/airctic/icevision/workflows/docs/badge.svg)](https://airctic.com)
[![codecov](https://codecov.io/gh/airctic/icevision/branch/master/graph/badge.svg)](https://codecov.io/gh/airctic/icevision)
[![PyPI version](https://badge.fury.io/py/icevision.svg)](https://badge.fury.io/py/icevision)
[![Downloads](https://pepy.tech/badge/icevision)](https://pepy.tech/project/icevision)

[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/airctic/icevision/blob/master/LICENSE)
[![Discord](https://img.shields.io/discord/735877944085446747?label=Discord&logo=Discord)](https://discord.gg/2jqrwrQ)

</div>


* * * * *

IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as Pytorch-Lightning and Fastai

**IceVision Unique Features:**

- Data curation/cleaning with auto-fix

- Access to an exploratory data analysis dashboard

- Pluggable transforms for better model generalization 

- Access to hundreds of neural net models

- Access to multiple training loop libraries

- Multi-task training to efficiently combine object detection, segmentation, and classification models 

<!-- Not included in docs - start -->

## Installation

```bash
pip install icevision[all]
```

For more installation options, check our [docs](https://airctic.com/0.7.0/install/).

**Important:** We currently only support Linux/MacOS.
<!-- Not included in docs - end -->

## Quick Example: How to train the **Fridge Objects Dataset**
<a href="https://colab.research.google.com/github/airctic/icevision/blob/master/notebooks/getting_started_object_detection.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
![image](images/icevision-readme.png)

![image](images/icevision-end-to-end-training.gif)

## Happy Learning!
If you need any assistance, feel free to:

[Join our Forum](https://discord.gg/JDBeZYK)




%prep
%autosetup -n icevision-0.12.0

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

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

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.0-1
- Package Spec generated