[Docs] Reformat README (#169)
* reformat readme * reformat model zoo * fix comma * fix imgpull/180/head
qiufeng
GitHub
parent
71a196490b
commit
5fa35829eb
95
README.md
95
README.md
|
|
@ -17,21 +17,35 @@
|
|||
</sup>
|
||||
</div>
|
||||
<div> </div>
|
||||
</div>
|
||||
<br />
|
||||
|
||||
[](https://pypi.org/project/mmrazor/)
|
||||
<!--算法库 Badges-->
|
||||
|
||||
[](https://pypi.org/project/mmrazor)
|
||||
[](https://mmrazor.readthedocs.io/en/latest/)
|
||||
[](https://github.com/open-mmlab/mmrazor/actions)
|
||||
[](https://codecov.io/gh/open-mmlab/mmrazor)
|
||||
[](https://github.com/open-mmlab/mmrazor/blob/master/LICENSE)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
|
||||
Documentation: https://mmrazor.readthedocs.io/
|
||||
<!--快速链接-->
|
||||
|
||||
English | [简体中文](/README_zh-CN.md)
|
||||
<!--Note:请根据各算法库自身情况设置项目和链接-->
|
||||
|
||||
[📘Documentation](https://mmrazor.readthedocs.io/) |
|
||||
[🛠️Installation](https://mmrazor.readthedocs.io/en/latest/get_started.html) |
|
||||
[👀Model Zoo](https://mmrazor.readthedocs.io/en/latest/model_zoo.html) |
|
||||
[🤔Reporting Issues](https://github.com/open-mmlab/mmrazor/issues/new/choose)
|
||||
|
||||
</div>
|
||||
|
||||
<!--中/英 文档切换-->
|
||||
|
||||
<div align="center">
|
||||
|
||||
English | [简体中文](README_zh-CN.md)
|
||||
|
||||
</div>
|
||||
|
||||
## Introduction
|
||||
|
||||
|
|
@ -65,33 +79,48 @@ Below is an overview of MMRazor's design and implementation, please refer to [tu
|
|||
</div>
|
||||
<br />
|
||||
|
||||
## License
|
||||
## What's new
|
||||
|
||||
This project is released under the [Apache 2.0 license](LICENSE).
|
||||
|
||||
## Changelog
|
||||
|
||||
v0.1.0 was released in 12/23/2021.
|
||||
MMRazor v0.3.1 was released in 5/4/2022.
|
||||
|
||||
## Benchmark and model zoo
|
||||
|
||||
Results and models are available in the [model zoo](/docs/en/model_zoo.md).
|
||||
|
||||
Supported algorithms:
|
||||
|
||||
<details open>
|
||||
<summary>Neural Architecture Search</summary>
|
||||
|
||||
- [x] [DARTS(ICLR'2019)](configs/nas/darts)
|
||||
|
||||
- [x] [DetNAS(NeurIPS'2019)](configs/nas/detnas)
|
||||
|
||||
- [x] [SPOS(ECCV'2020)](configs/nas/spos)
|
||||
|
||||
</details>
|
||||
|
||||
<details open>
|
||||
<summary>Pruning</summary>
|
||||
|
||||
- [x] [AutoSlim(NeurIPS'2019)](/configs/pruning/autoslim)
|
||||
|
||||
</details>
|
||||
|
||||
<details open>
|
||||
<summary>Knowledge Distillation</summary>
|
||||
|
||||
- [x] [CWD(ICCV'2021)](/configs/distill/cwd)
|
||||
|
||||
- [x] [WSLD(ICLR'2021)](/configs/distill/wsld)
|
||||
|
||||
</details>
|
||||
|
||||
## Installation
|
||||
|
||||
MMRazor depends on [PyTorch](https://pytorch.org/) and [MMCV](https://github.com/open-mmlab/mmcv).
|
||||
Below are quick steps for installation.
|
||||
Please refer to [get_started.md](/docs/en/get_started.md) for more detailed instruction and [dataset_prepare.md](docs/en/dataset_prepare.md) for dataset preparation.
|
||||
|
||||
```shell
|
||||
conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision -c pytorch -y
|
||||
conda activate open-mmlab
|
||||
pip3 install openmim
|
||||
mim install mmcv-full
|
||||
git clone https://github.com/open-mmlab/mmrazor.git
|
||||
cd mmrazor
|
||||
pip install -v -e . # or "python setup.py develop"
|
||||
```
|
||||
Please refer to [get_started.md](/docs/en/get_started.md) for more detailed instruction.
|
||||
|
||||
## Getting Started
|
||||
|
||||
|
|
@ -106,6 +135,16 @@ Please refer to [train.md](/docs/en/train.md) and [test.md](/docs/en/test.md) fo
|
|||
- [customize mixed algorithms with our algorithm_components](/docs/en/tutorials/Tutorial_7_customize_mixed_algorithms_with_out_algorithms_components.md)
|
||||
- [apply existing algorithms to other existing tasks](/docs/en/tutorials/Tutorial_8_apply_existing_algorithms_to_new_tasks.md)
|
||||
|
||||
## Contributing
|
||||
|
||||
We appreciate all contributions to improve MMRazor.
|
||||
Please refer to [CONTRUBUTING.md](/.github/CONTRIBUTING.md) for the contributing guideline.
|
||||
|
||||
## Acknowledgement
|
||||
|
||||
MMRazor is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
|
||||
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new model compression methods.
|
||||
|
||||
## Citation
|
||||
|
||||
If you find this project useful in your research, please consider cite:
|
||||
|
|
@ -119,15 +158,9 @@ If you find this project useful in your research, please consider cite:
|
|||
}
|
||||
```
|
||||
|
||||
## Contributing
|
||||
## License
|
||||
|
||||
We appreciate all contributions to improve MMRazor.
|
||||
Please refer to [CONTRUBUTING.md](/.github/CONTRIBUTING.md) for the contributing guideline.
|
||||
|
||||
## Acknowledgement
|
||||
|
||||
MMRazor is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks.
|
||||
We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new model compression methods.
|
||||
This project is released under the [Apache 2.0 license](LICENSE).
|
||||
|
||||
## Projects in OpenMMLab
|
||||
|
||||
|
|
|
|||
|
|
@ -17,22 +17,36 @@
|
|||
</sup>
|
||||
</div>
|
||||
<div> </div>
|
||||
</div>
|
||||
<br />
|
||||
|
||||
[](https://pypi.org/project/mmrazor/)
|
||||
<!--算法库 Badges-->
|
||||
|
||||
[](https://pypi.org/project/mmrazor)
|
||||
[](https://mmrazor.readthedocs.io/en/latest/)
|
||||
[](https://github.com/open-mmlab/mmrazor/actions)
|
||||
[](https://codecov.io/gh/open-mmlab/mmrazor)
|
||||
[](https://github.com/open-mmlab/mmrazor/blob/master/LICENSE)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
[](https://github.com/open-mmlab/mmrazor/issues)
|
||||
|
||||
文档: https://mmrazor.readthedocs.io/
|
||||
<!--快速链接-->
|
||||
|
||||
<!--Note:请根据各算法库自身情况设置项目和链接-->
|
||||
|
||||
[📘使用文档](https://mmrazor.readthedocs.io/) |
|
||||
[🛠️安装教程](https://mmrazor.readthedocs.io/en/latest/get_started.html) |
|
||||
[👀模型库](https://mmrazor.readthedocs.io/en/latest/model_zoo.html) |
|
||||
[🤔报告问题](https://github.com/open-mmlab/mmrazor/issues/new/choose)
|
||||
|
||||
</div>
|
||||
|
||||
<!--中/英 文档切换-->
|
||||
|
||||
<div align="center">
|
||||
|
||||
[English](/README.md) | 简体中文
|
||||
|
||||
</div>
|
||||
|
||||
## 说明
|
||||
|
||||
MMRazor是一个可用于模型瘦身和AutoML的模型压缩工具箱，包含了3种主流的技术：
|
||||
|
|
@ -65,21 +79,18 @@ MMRazor是[OpenMMLab](https://openmmlab.com/)项目的一部分。
|
|||
</div>
|
||||
<br />
|
||||
|
||||
## 开源许可证
|
||||
|
||||
该项目采用 [Apache 2.0 开源许可证](LICENSE)。
|
||||
|
||||
## 更新日志
|
||||
|
||||
v0.1.0 版本已经在 2021.12.23 发布
|
||||
MMRazor v0.3.1 版本已经在 2022.5.4 发布。
|
||||
|
||||
## 基准测试和模型库
|
||||
|
||||
测试结果可以在 [模型库](docs/en/model_zoo.md) 中找到.
|
||||
测试结果可以在 [模型库](docs/en/model_zoo.md) 中找到。
|
||||
|
||||
已经支持的算法:
|
||||
已经支持的算法：
|
||||
|
||||
Neural Architecture Search
|
||||
<details open>
|
||||
<summary>Neural Architecture Search</summary>
|
||||
|
||||
- [x] [DARTS(ICLR'2019)](configs/nas/darts)
|
||||
|
||||
|
|
@ -87,34 +98,33 @@ Neural Architecture Search
|
|||
|
||||
- [x] [SPOS(ECCV'2020)](configs/nas/spos)
|
||||
|
||||
Pruning
|
||||
</details>
|
||||
|
||||
<details open>
|
||||
<summary>Pruning</summary>
|
||||
|
||||
- [x] [AutoSlim(NeurIPS'2019)](/configs/pruning/autoslim)
|
||||
|
||||
Knowledge Distillation
|
||||
</details>
|
||||
|
||||
<details open>
|
||||
<summary>Knowledge Distillation</summary>
|
||||
|
||||
- [x] [CWD(ICCV'2021)](/configs/distill/cwd)
|
||||
|
||||
- [x] [WSLD(ICLR'2021)](/configs/distill/wsld)
|
||||
|
||||
</details>
|
||||
|
||||
## 安装
|
||||
|
||||
MMRazor 依赖 [PyTorch](https://pytorch.org/) 和 [MMCV](https://github.com/open-mmlab/mmcv)，以下是安装的简要步骤。
|
||||
更详细的安装指南请参考 [get_started.md](/docs/en/get_started.md)，并参考[dataset_prepare.md](docs/en/dataset_prepare.md)准备数据。
|
||||
MMRazor 依赖 [PyTorch](https://pytorch.org/) 和 [MMCV](https://github.com/open-mmlab/mmcv)。
|
||||
|
||||
```shell
|
||||
conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision -c pytorch -y
|
||||
conda activate open-mmlab
|
||||
pip3 install openmim
|
||||
mim install mmcv-full
|
||||
git clone https://github.com/open-mmlab/mmrazor.git
|
||||
cd mmrazor
|
||||
pip install -v -e . # or "python setup.py develop"
|
||||
```
|
||||
请参考[get_started.md](/docs/en/get_started.md)获取更详细的安装指南。
|
||||
|
||||
## 快速入门
|
||||
|
||||
请参考 [get_started.md](/docs/en/get_started.md) 学习 MMRazor 的基本使用。 我们也提供了一些进阶教程:
|
||||
请参考 [train.md](/docs/en/train.md) 和 [test.md](/docs/en/test.md) 学习 MMRazor 的基本使用。 我们也提供了一些进阶教程:
|
||||
|
||||
- [overview](/docs/en/tutorials/Tutorial_1_overview.md)
|
||||
- [learn about configs](/docs/en/tutorials/Tutorial_2_learn_about_configs.md)
|
||||
|
|
@ -125,9 +135,18 @@ pip install -v -e . # or "python setup.py develop"
|
|||
- [customize mixed algorithms with our algorithm_components](/docs/en/tutorials/Tutorial_7_customize_mixed_algorithms_with_out_algorithms_components.md)
|
||||
- [apply existing algorithms to other existing tasks](/docs/en/tutorials/Tutorial_8_apply_existing_algorithms_to_new_tasks.md)
|
||||
|
||||
## 贡献指南
|
||||
|
||||
我们感谢所有的贡献者为改进和提升 MMRazor 所作出的努力。
|
||||
请参考[贡献指南](/.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
|
||||
|
||||
## 致谢
|
||||
|
||||
MMRazor 是一款由来自不同高校和企业的研发人员共同参与贡献的开源项目。我们感谢所有为项目提供算法复现和新功能支持的贡献者，以及提供宝贵反馈的用户。 我们希望这个工具箱和基准测试可以为社区提供灵活的代码工具，供用户复现已有算法并开发自己的新模型压缩算法，从而不断为开源社区提供贡献。
|
||||
|
||||
## 引用
|
||||
|
||||
如果你在研究中使用了本项目的代码或者性能基准，请参考如下 bibtex 引用 MMRazor。
|
||||
如果您发现此项目对您的研究有用，请考虑引用：
|
||||
|
||||
```BibTeX
|
||||
@misc{2021mmrazor,
|
||||
|
|
@ -138,14 +157,9 @@ pip install -v -e . # or "python setup.py develop"
|
|||
}
|
||||
```
|
||||
|
||||
## 贡献指南
|
||||
## 开源许可证
|
||||
|
||||
我们感谢所有的贡献者为改进和提升 MMRazor 所作出的努力.
|
||||
请参考[贡献指南](/.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
|
||||
|
||||
## 致谢
|
||||
|
||||
MMRazor 是一款由来自不同高校和企业的研发人员共同参与贡献的开源项目。我们感谢所有为项目提供算法复现和新功能支持的贡献者，以及提供宝贵反馈的用户。 我们希望这个工具箱和基准测试可以为社区提供灵活的代码工具，供用户复现已有算法并开发自己的新模型压缩算法，从而不断为开源社区提供贡献.
|
||||
该项目采用 [Apache 2.0 开源许可证](LICENSE)。
|
||||
|
||||
## OpenMMLab 的其他项目
|
||||
|
||||
|
|
@ -171,10 +185,10 @@ MMRazor 是一款由来自不同高校和企业的研发人员共同参与贡献
|
|||
|
||||
## 欢迎加入 OpenMMLab 社区
|
||||
|
||||
扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=aCvMxdr3)
|
||||
扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=aCvMxdr3)，添加OpenMMLab 官方小助手微信，加入 MMSelfSup 微信社区。
|
||||
|
||||
<div align="center">
|
||||
<img src="resources/zhihu_qrcode.jpg" height="400" /> <img src="resources/qq_group_qrcode.jpg" height="400" />
|
||||
<img src="./resources/zhihu_qrcode.jpg" height="400"/> <img src="./resources/qq_group_qrcode.jpg" height="400"/> <img src="./resources/xiaozhushou_weixin_qrcode.jpeg" height="300"/>
|
||||
</div>
|
||||
|
||||
我们会在 OpenMMLab 社区为大家
|
||||
|
|
|
|||
Binary file not shown.
|
After Width: | Height: | Size: 42 KiB |
Loading…
Reference in New Issue