[Docs] Update README and fix typo in docs (#2358)

README.md

@@ -22,6 +22,8 @@
 [![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/en/latest/)
 [![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/en/latest/get_started/installation.html)
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
+[![pytorch](https://img.shields.io/badge/pytorch-1.5~1.12-orange)](https://pytorch.org/get-started/previous-versions/)
+[![cuda](https://img.shields.io/badge/cuda-9.2~11.6-green)](https://developer.nvidia.com/cuda-downloads)
 [![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv)
 [![badge](https://github.com/open-mmlab/mmcv/workflows/build/badge.svg)](https://github.com/open-mmlab/mmcv/actions)
 [![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)
@@ -131,7 +133,7 @@ mim install mmcv
 
 ## FAQ
 
-If you face installation problems or runtime issues, you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/zh_CN/latest/faq.html) to see if there is a solution. If the problem is still not solved, feel free to open an [issue](https://github.com/open-mmlab/mmcv/issues).
+If you face installation problems or runtime issues, you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/en/latest/faq.html) to see if there is a solution. If the problem is still not solved, feel free to open an [issue](https://github.com/open-mmlab/mmcv/issues).
 
 ## Citation
 

README_zh-CN.md

@@ -22,6 +22,8 @@
 [![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/zh_CN/latest/)
 [![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/zh_CN/latest/get_started/installation.html)
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
+[![pytorch](https://img.shields.io/badge/pytorch-1.5~1.12-orange)](https://pytorch.org/get-started/previous-versions/)
+[![cuda](https://img.shields.io/badge/cuda-9.2~11.6-green)](https://developer.nvidia.com/cuda-downloads)
 [![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv)
 [![badge](https://github.com/open-mmlab/mmcv/workflows/build/badge.svg)](https://github.com/open-mmlab/mmcv/actions)
 [![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)

docs/en/get_started/installation.md

@@ -12,9 +12,9 @@ Do not install both versions in the same environment, otherwise you may encounte
 ### Install mmcv-full
 
 ```{note}
-- The following installation steps are for Linux and Windows platforms only. To install mmcv-full on macOS platform, please refer to [build mmcv-full from source](https://mmcv.readthedocs.io/en/latest/get_started/build.html#macos-mmcv-full).
-- To compile ONNX Runtime custom operators, please refer to [How to build custom operators for ONNX Runtime](https://mmcv.readthedocs.io/en/latest/deployment/onnxruntime_op.html#how-to-build-custom-operators-for-onnx-runtime)
-- To compile TensorRT customization, please refer to [How to build TensorRT plugins in MMCV](https://mmcv.readthedocs.io/en/latest/deployment/tensorrt_plugin.html#how-to-build-tensorrt-plugins-in-mmcv)
+- The following installation steps are for Linux and Windows platforms only. To install mmcv-full on macOS platform, please refer to [build mmcv-full from source](build.md#build-on-macos).
+- To compile ONNX Runtime custom operators, please refer to [How to build custom operators for ONNX Runtime](../deployment/onnxruntime_op.md#how-to-build-custom-operators-for-onnx-runtime)
+- To compile TensorRT customization, please refer to [How to build TensorRT plugins in MMCV](../deployment/tensorrt_plugin.md#how-to-build-tensorrt-plugins-in-mmcv)
 ```
 
 Before installing mmcv-full, make sure that PyTorch has been successfully installed following the [PyTorch official installation guide](https://pytorch.org/get-started/locally/#start-locally). This can be verified using the following command

docs/zh_cn/get_started/installation.md

@@ -12,9 +12,9 @@ MMCV 有两个版本：
 ### 安装 mmcv-full
 
 ```{note}
-- 下述安装步骤仅适用于 Linux 和 Windows 平台，如需在 macOS 平台安装 mmcv-full，请参考[源码安装 mmcv-full](https://mmcv.readthedocs.io/zh_CN/latest/get_started/build.html#macos-mmcv-full)。
-- 如需编译 ONNX Runtime 自定义算子，请参考[如何编译ONNX Runtime自定义算子](https://mmcv.readthedocs.io/zh_CN/latest/deployment/onnxruntime_op.html#id1)
-- 如需编译 TensorRT 自定义，请参考[如何编译MMCV中的TensorRT插件](https://mmcv.readthedocs.io/zh_CN/latest/deployment/tensorrt_plugin.html#id3)
+- 下述安装步骤仅适用于 Linux 和 Windows 平台，如需在 macOS 平台安装 mmcv-full，请参考[源码安装 mmcv-full](build.md#在-macos-上编译-mmcv-full)。
+- 如需编译 ONNX Runtime 自定义算子，请参考[如何编译ONNX Runtime自定义算子](../deployment/onnxruntime_op.md#如何编译onnx-runtime自定义算子)
+- 如需编译 TensorRT 自定义，请参考[如何编译MMCV中的TensorRT插件](../deployment/tensorrt_plugin.md#如何编译mmcv中的tensorrt插件)
 ```
 
 在安装 mmcv-full 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 [PyTorch 官方安装文档](https://pytorch.org/get-started/locally/#start-locally)。可使用以下命令验证