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[Fix] fix link (#6796)
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* [Fix] fix lint
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BIGWangYuDong authored and ZwwWayne committed Dec 16, 2021
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18 changes: 9 additions & 9 deletions README.md
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Expand Up @@ -66,13 +66,13 @@ This project is released under the [Apache 2.0 license](LICENSE).
- Add abstract and sketch of the papers in readmes
- Fix some weight initialization bugs

Please refer to [changelog.md](docs/changelog.md) for details and release history.
Please refer to [changelog.md](docs/en/changelog.md) for details and release history.

For compatibility changes between different versions of MMDetection, please refer to [compatibility.md](docs/compatibility.md).
For compatibility changes between different versions of MMDetection, please refer to [compatibility.md](docs/en/compatibility.md).

## Benchmark and model zoo

Results and models are available in the [model zoo](docs/model_zoo.md).
Results and models are available in the [model zoo](docs/en/model_zoo.md).


<details open>
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- [x] [QueryInst (ICCV'2021)](configs/queryinst/README.md)
</details>

Some other methods are also supported in [projects using MMDetection](./docs/projects.md).
Some other methods are also supported in [projects using MMDetection](./docs/en/projects.md).

## Installation

Please refer to [get_started.md](docs/get_started.md) for installation.
Please refer to [get_started.md](docs/en/get_started.md) for installation.

## Getting Started

Please see [get_started.md](docs/get_started.md) for the basic usage of MMDetection.
We provide [colab tutorial](demo/MMDet_Tutorial.ipynb), and full guidance for quick run [with existing dataset](docs/1_exist_data_model.md) and [with new dataset](docs/2_new_data_model.md) for beginners.
There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/customize_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [customizing models](docs/tutorials/customize_models.md), [customizing runtime settings](docs/tutorials/customize_runtime.md) and [useful tools](docs/useful_tools.md).
Please see [get_started.md](docs/en/get_started.md) for the basic usage of MMDetection.
We provide [colab tutorial](demo/MMDet_Tutorial.ipynb), and full guidance for quick run [with existing dataset](docs/en/1_exist_data_model.md) and [with new dataset](docs/en/2_new_data_model.md) for beginners.
There are also tutorials for [finetuning models](docs/en/tutorials/finetune.md), [adding new dataset](docs/en/tutorials/customize_dataset.md), [designing data pipeline](docs/en/tutorials/data_pipeline.md), [customizing models](docs/en/tutorials/customize_models.md), [customizing runtime settings](docs/en/tutorials/customize_runtime.md) and [useful tools](docs/en/useful_tools.md).

Please refer to [FAQ](docs/faq.md) for frequently asked questions.
Please refer to [FAQ](docs/en/faq.md) for frequently asked questions.

## Contributing

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16 changes: 8 additions & 8 deletions README_zh-CN.md
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Expand Up @@ -66,11 +66,11 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope

如果想了解更多版本更新细节和历史信息,请阅读[更新日志](docs/changelog.md)

如果想了解 MMDetection 不同版本之间的兼容性, 请参考[兼容性说明文档](docs/compatibility.md)
如果想了解 MMDetection 不同版本之间的兼容性, 请参考[兼容性说明文档](docs/zh_cn/compatibility.md)

## 基准测试和模型库

测试结果和模型可以在[模型库](docs/model_zoo.md)中找到。
测试结果和模型可以在[模型库](docs/zh_cn/model_zoo.md)中找到。

<details open>
<summary>已支持的骨干网络:</summary>
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- [x] [QueryInst (ICCV'2021)](configs/queryinst/README.md)
</details>

我们在[基于 MMDetection 的项目](./docs/projects.md)中列举了一些其他的支持的算法。
我们在[基于 MMDetection 的项目](./docs/zh_cn/projects.md)中列举了一些其他的支持的算法。

## 安装

请参考[快速入门文档](docs/get_started.md)进行安装。
请参考[快速入门文档](docs/zh_cn/get_started.md)进行安装。

## 快速入门

请参考[快速入门文档](docs/get_started.md)学习 MMDetection 的基本使用。
我们提供了 [colab 教程](demo/MMDet_Tutorial.ipynb),也为新手提供了完整的运行教程,分别针对[已有数据集](docs/1_exist_data_model.md)[新数据集](docs/2_new_data_model.md) 完整的使用指南
请参考[快速入门文档](docs/zh_cn/get_started.md)学习 MMDetection 的基本使用。
我们提供了 [colab 教程](demo/MMDet_Tutorial.ipynb),也为新手提供了完整的运行教程,分别针对[已有数据集](docs/zh_cn/1_exist_data_model.md)[新数据集](docs/zh_cn/2_new_data_model.md) 完整的使用指南

我们也提供了一些进阶教程,内容覆盖了 [finetune 模型](docs/tutorials/finetune.md)[增加新数据集支持](docs/tutorials/customize_dataset.md)[设计新的数据预处理流程](docs/tutorials/data_pipeline.md)[增加自定义模型](docs/tutorials/customize_models.md)[增加自定义的运行时配置](docs/tutorials/customize_runtime.md)[常用工具和脚本](docs/useful_tools.md)
我们也提供了一些进阶教程,内容覆盖了 [finetune 模型](docs/zh_cn/tutorials/finetune.md)[增加新数据集支持](docs/zh_cn/tutorials/customize_dataset.md)[设计新的数据预处理流程](docs/zh_cn/tutorials/data_pipeline.md)[增加自定义模型](docs/zh_cn/tutorials/customize_models.md)[增加自定义的运行时配置](docs/zh_cn/tutorials/customize_runtime.md)[常用工具和脚本](docs/zh_cn/useful_tools.md)

如果遇到问题,请参考 [常见问题解答](docs_zh-CN/faq.md)
如果遇到问题,请参考 [常见问题解答](docs/zh_cn/faq.md)

## 贡献指南

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2 changes: 1 addition & 1 deletion docs/en/changelog.md
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Expand Up @@ -101,7 +101,7 @@ Thanks @FloydHsiu, @RangiLyu, @ZwwWayne, @AndreaPi, @st9007a, @hachreak, @BIGWan

#### Documents

- Chinese version of [Corruption Benchmarking](docs/robustness_benchmarking.mddocs/robustness_benchmarking.md) (#6375)
- Chinese version of [Corruption Benchmarking](robustness_benchmarking.md) (#6375)
- Fix config path in docs (#6396)
- Update GRoIE readme (#6401)

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