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diff --git a/python-zcls.spec b/python-zcls.spec new file mode 100644 index 0000000..406c49d --- /dev/null +++ b/python-zcls.spec @@ -0,0 +1,477 @@ +%global _empty_manifest_terminate_build 0 +Name: python-zcls +Version: 0.15.2 +Release: 1 +Summary: Object Classification Training/Inferring Framework +License: Apache Software License +URL: https://github.com/ZJCV/ZCls +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3e/15/876fb33b680e48a85458526d74df5e16ab8cfead90e511e5adc07eff11e2/zcls-0.15.2.tar.gz +BuildArch: noarch + +Requires: python3-albumentations +Requires: python3-Pillow-SIMD +Requires: python3-lmdb +Requires: python3-numpy +Requires: python3-opencv-python +Requires: python3-psutil +Requires: python3-resnest +Requires: python3-six +Requires: python3-tabulate +Requires: python3-thop +Requires: python3-torch +Requires: python3-torchvision +Requires: python3-tqdm +Requires: python3-yacs +Requires: python3-tensorboard + +%description +<div align="right"> + Language: + 🇺🇸 + <a title="Chinese" href="./README.zh-CN.md">🇨🇳</a> +</div> + + <div align="center"><a title="" href="https://github.com/ZJCV/ZCls"><img align="center" src="./imgs/ZCls.png"></a></div> + +<p align="center"> + «ZCls» is a classification model training/inferring framework +<br> +<br> + <a href="https://github.com/RichardLitt/standard-readme"><img src="https://img.shields.io/badge/standard--readme-OK-green.svg?style=flat-square"></a> + <a href="https://conventionalcommits.org"><img src="https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg"></a> + <a href="http://commitizen.github.io/cz-cli/"><img src="https://img.shields.io/badge/commitizen-friendly-brightgreen.svg"></a> + <a href="https://pypi.org/project/zcls/"><img src="https://img.shields.io/badge/PYPI-zcls-brightgreen"></a> + <a href='https://zcls.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/zcls/badge/?version=latest' alt='Documentation Status' /> + </a> +</p> + +Supported Recognizers: + +<p align="center"> +<img align="center" src="./imgs/roadmap.svg"> +</p> + +*Refer to [roadmap](https://zcls.readthedocs.io/en/latest/roadmap/) for details* + +## Table of Contents + +- [Table of Contents](#table-of-contents) +- [Background](#background) +- [Installation](#installation) +- [Usage](#usage) +- [Maintainers](#maintainers) +- [Thanks](#thanks) +- [Contributing](#contributing) +- [License](#license) + +## Background + +In the fields of object detection/object segmentation/action recognition, there have been many training frameworks with high integration and perfect process, such as [facebookresearch/detectron2](https://github.com/facebookresearch/detectron2), [open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2) ... + +Object classification is the most developed and theoretically basic field in deeplearning. Referring to the existing training framework, a training/inferring framework based on object classification model is implemented. I hope ZCls can bring you a better realization. + +## Installation + +See [INSTALL](https://zcls.readthedocs.io/en/latest/install/) + +## Usage + +How to train, see [Get Started with ZCls](https://zcls.readthedocs.io/en/latest/get-started/) + +Use builtin datasets, see [Use Builtin Datasets](https://zcls.readthedocs.io/en/latest/builtin-datasets/) + +Use custom datasets, see [Use Custom Datasets](https://zcls.readthedocs.io/en/latest/) + +Use pretrained model, see [Use Pretrained Model](https://zcls.readthedocs.io/en/latest/pretrained-model/) + +## Maintainers + +* zhujian - *Initial work* - [zjykzj](https://github.com/zjykzj) + +## Thanks + +``` +@misc{ding2021diverse, + title={Diverse Branch Block: Building a Convolution as an Inception-like Unit}, + author={Xiaohan Ding and Xiangyu Zhang and Jungong Han and Guiguang Ding}, + year={2021}, + eprint={2103.13425}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{ding2021repvgg, + title={RepVGG: Making VGG-style ConvNets Great Again}, + author={Xiaohan Ding and Xiangyu Zhang and Ningning Ma and Jungong Han and Guiguang Ding and Jian Sun}, + year={2021}, + eprint={2101.03697}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{fan2020pyslowfast, + author = {Haoqi Fan and Yanghao Li and Bo Xiong and Wan-Yen Lo and + Christoph Feichtenhofer}, + title = {PySlowFast}, + howpublished = {\url{https://github.com/facebookresearch/slowfast}}, + year = {2020} +} + +@misc{zhang2020resnest, + title={ResNeSt: Split-Attention Networks}, + author={Hang Zhang and Chongruo Wu and Zhongyue Zhang and Yi Zhu and Haibin Lin and Zhi Zhang and Yue Sun and Tong He and Jonas Mueller and R. Manmatha and Mu Li and Alexander Smola}, + year={2020}, + eprint={2004.08955}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{han2020ghostnet, + title={GhostNet: More Features from Cheap Operations}, + author={Kai Han and Yunhe Wang and Qi Tian and Jianyuan Guo and Chunjing Xu and Chang Xu}, + year={2020}, + eprint={1911.11907}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} +``` + +*For more thanks, check [THANKS](./THANKS)* + +## Contributing + +Anyone's participation is welcome! Open an [issue](https://github.com/ZJCV/ZCls/issues) or submit PRs. + +Small note: + +* Git submission specifications should be complied + with [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0-beta.4/) +* If versioned, please conform to the [Semantic Versioning 2.0.0](https://semver.org) specification +* If editing the README, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) + specification. + +## License + +[Apache License 2.0](LICENSE) © 2020 zjykzj + + + +%package -n python3-zcls +Summary: Object Classification Training/Inferring Framework +Provides: python-zcls +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-zcls +<div align="right"> + Language: + 🇺🇸 + <a title="Chinese" href="./README.zh-CN.md">🇨🇳</a> +</div> + + <div align="center"><a title="" href="https://github.com/ZJCV/ZCls"><img align="center" src="./imgs/ZCls.png"></a></div> + +<p align="center"> + «ZCls» is a classification model training/inferring framework +<br> +<br> + <a href="https://github.com/RichardLitt/standard-readme"><img src="https://img.shields.io/badge/standard--readme-OK-green.svg?style=flat-square"></a> + <a href="https://conventionalcommits.org"><img src="https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg"></a> + <a href="http://commitizen.github.io/cz-cli/"><img src="https://img.shields.io/badge/commitizen-friendly-brightgreen.svg"></a> + <a href="https://pypi.org/project/zcls/"><img src="https://img.shields.io/badge/PYPI-zcls-brightgreen"></a> + <a href='https://zcls.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/zcls/badge/?version=latest' alt='Documentation Status' /> + </a> +</p> + +Supported Recognizers: + +<p align="center"> +<img align="center" src="./imgs/roadmap.svg"> +</p> + +*Refer to [roadmap](https://zcls.readthedocs.io/en/latest/roadmap/) for details* + +## Table of Contents + +- [Table of Contents](#table-of-contents) +- [Background](#background) +- [Installation](#installation) +- [Usage](#usage) +- [Maintainers](#maintainers) +- [Thanks](#thanks) +- [Contributing](#contributing) +- [License](#license) + +## Background + +In the fields of object detection/object segmentation/action recognition, there have been many training frameworks with high integration and perfect process, such as [facebookresearch/detectron2](https://github.com/facebookresearch/detectron2), [open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2) ... + +Object classification is the most developed and theoretically basic field in deeplearning. Referring to the existing training framework, a training/inferring framework based on object classification model is implemented. I hope ZCls can bring you a better realization. + +## Installation + +See [INSTALL](https://zcls.readthedocs.io/en/latest/install/) + +## Usage + +How to train, see [Get Started with ZCls](https://zcls.readthedocs.io/en/latest/get-started/) + +Use builtin datasets, see [Use Builtin Datasets](https://zcls.readthedocs.io/en/latest/builtin-datasets/) + +Use custom datasets, see [Use Custom Datasets](https://zcls.readthedocs.io/en/latest/) + +Use pretrained model, see [Use Pretrained Model](https://zcls.readthedocs.io/en/latest/pretrained-model/) + +## Maintainers + +* zhujian - *Initial work* - [zjykzj](https://github.com/zjykzj) + +## Thanks + +``` +@misc{ding2021diverse, + title={Diverse Branch Block: Building a Convolution as an Inception-like Unit}, + author={Xiaohan Ding and Xiangyu Zhang and Jungong Han and Guiguang Ding}, + year={2021}, + eprint={2103.13425}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{ding2021repvgg, + title={RepVGG: Making VGG-style ConvNets Great Again}, + author={Xiaohan Ding and Xiangyu Zhang and Ningning Ma and Jungong Han and Guiguang Ding and Jian Sun}, + year={2021}, + eprint={2101.03697}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{fan2020pyslowfast, + author = {Haoqi Fan and Yanghao Li and Bo Xiong and Wan-Yen Lo and + Christoph Feichtenhofer}, + title = {PySlowFast}, + howpublished = {\url{https://github.com/facebookresearch/slowfast}}, + year = {2020} +} + +@misc{zhang2020resnest, + title={ResNeSt: Split-Attention Networks}, + author={Hang Zhang and Chongruo Wu and Zhongyue Zhang and Yi Zhu and Haibin Lin and Zhi Zhang and Yue Sun and Tong He and Jonas Mueller and R. Manmatha and Mu Li and Alexander Smola}, + year={2020}, + eprint={2004.08955}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{han2020ghostnet, + title={GhostNet: More Features from Cheap Operations}, + author={Kai Han and Yunhe Wang and Qi Tian and Jianyuan Guo and Chunjing Xu and Chang Xu}, + year={2020}, + eprint={1911.11907}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} +``` + +*For more thanks, check [THANKS](./THANKS)* + +## Contributing + +Anyone's participation is welcome! Open an [issue](https://github.com/ZJCV/ZCls/issues) or submit PRs. + +Small note: + +* Git submission specifications should be complied + with [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0-beta.4/) +* If versioned, please conform to the [Semantic Versioning 2.0.0](https://semver.org) specification +* If editing the README, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) + specification. + +## License + +[Apache License 2.0](LICENSE) © 2020 zjykzj + + + +%package help +Summary: Development documents and examples for zcls +Provides: python3-zcls-doc +%description help +<div align="right"> + Language: + 🇺🇸 + <a title="Chinese" href="./README.zh-CN.md">🇨🇳</a> +</div> + + <div align="center"><a title="" href="https://github.com/ZJCV/ZCls"><img align="center" src="./imgs/ZCls.png"></a></div> + +<p align="center"> + «ZCls» is a classification model training/inferring framework +<br> +<br> + <a href="https://github.com/RichardLitt/standard-readme"><img src="https://img.shields.io/badge/standard--readme-OK-green.svg?style=flat-square"></a> + <a href="https://conventionalcommits.org"><img src="https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg"></a> + <a href="http://commitizen.github.io/cz-cli/"><img src="https://img.shields.io/badge/commitizen-friendly-brightgreen.svg"></a> + <a href="https://pypi.org/project/zcls/"><img src="https://img.shields.io/badge/PYPI-zcls-brightgreen"></a> + <a href='https://zcls.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/zcls/badge/?version=latest' alt='Documentation Status' /> + </a> +</p> + +Supported Recognizers: + +<p align="center"> +<img align="center" src="./imgs/roadmap.svg"> +</p> + +*Refer to [roadmap](https://zcls.readthedocs.io/en/latest/roadmap/) for details* + +## Table of Contents + +- [Table of Contents](#table-of-contents) +- [Background](#background) +- [Installation](#installation) +- [Usage](#usage) +- [Maintainers](#maintainers) +- [Thanks](#thanks) +- [Contributing](#contributing) +- [License](#license) + +## Background + +In the fields of object detection/object segmentation/action recognition, there have been many training frameworks with high integration and perfect process, such as [facebookresearch/detectron2](https://github.com/facebookresearch/detectron2), [open-mmlab/mmaction2](https://github.com/open-mmlab/mmaction2) ... + +Object classification is the most developed and theoretically basic field in deeplearning. Referring to the existing training framework, a training/inferring framework based on object classification model is implemented. I hope ZCls can bring you a better realization. + +## Installation + +See [INSTALL](https://zcls.readthedocs.io/en/latest/install/) + +## Usage + +How to train, see [Get Started with ZCls](https://zcls.readthedocs.io/en/latest/get-started/) + +Use builtin datasets, see [Use Builtin Datasets](https://zcls.readthedocs.io/en/latest/builtin-datasets/) + +Use custom datasets, see [Use Custom Datasets](https://zcls.readthedocs.io/en/latest/) + +Use pretrained model, see [Use Pretrained Model](https://zcls.readthedocs.io/en/latest/pretrained-model/) + +## Maintainers + +* zhujian - *Initial work* - [zjykzj](https://github.com/zjykzj) + +## Thanks + +``` +@misc{ding2021diverse, + title={Diverse Branch Block: Building a Convolution as an Inception-like Unit}, + author={Xiaohan Ding and Xiangyu Zhang and Jungong Han and Guiguang Ding}, + year={2021}, + eprint={2103.13425}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{ding2021repvgg, + title={RepVGG: Making VGG-style ConvNets Great Again}, + author={Xiaohan Ding and Xiangyu Zhang and Ningning Ma and Jungong Han and Guiguang Ding and Jian Sun}, + year={2021}, + eprint={2101.03697}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{fan2020pyslowfast, + author = {Haoqi Fan and Yanghao Li and Bo Xiong and Wan-Yen Lo and + Christoph Feichtenhofer}, + title = {PySlowFast}, + howpublished = {\url{https://github.com/facebookresearch/slowfast}}, + year = {2020} +} + +@misc{zhang2020resnest, + title={ResNeSt: Split-Attention Networks}, + author={Hang Zhang and Chongruo Wu and Zhongyue Zhang and Yi Zhu and Haibin Lin and Zhi Zhang and Yue Sun and Tong He and Jonas Mueller and R. Manmatha and Mu Li and Alexander Smola}, + year={2020}, + eprint={2004.08955}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +@misc{han2020ghostnet, + title={GhostNet: More Features from Cheap Operations}, + author={Kai Han and Yunhe Wang and Qi Tian and Jianyuan Guo and Chunjing Xu and Chang Xu}, + year={2020}, + eprint={1911.11907}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} +``` + +*For more thanks, check [THANKS](./THANKS)* + +## Contributing + +Anyone's participation is welcome! Open an [issue](https://github.com/ZJCV/ZCls/issues) or submit PRs. + +Small note: + +* Git submission specifications should be complied + with [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0-beta.4/) +* If versioned, please conform to the [Semantic Versioning 2.0.0](https://semver.org) specification +* If editing the README, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) + specification. + +## License + +[Apache License 2.0](LICENSE) © 2020 zjykzj + + + +%prep +%autosetup -n zcls-0.15.2 + +%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-zcls -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.15.2-1 +- Package Spec generated |