[Docs] Update Installation Guides (#2171)

open-mmlab · Apr 6, 2023 · 6c6c12c · 6c6c12c
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diff --git a/README_CN.md b/README_CN.md
@@ -321,8 +321,7 @@ MMPose 是一款由不同学校和公司共同贡献的开源项目。我们感
 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)，联络 OpenMMLab [官方微信小助手](https://user-images.githubusercontent.com/25839884/205872898-e2e6009d-c6bb-4d27-8d07-117e697a3da8.jpg)或加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=K0QI8ByU)
 
 <div align="center">
-<img src="https://user-images.githubusercontent.com/25839884/205870927-39f4946d-8751-4219-a4c0-740117558fd7.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/205872898-e2e6009d-c6bb-4d27-8d07-117e697a3da8.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/203904835-62392033-02d4-4c73-a68c-c9e4c1e2b07f.jpg
-" height="400">
+<img src="https://user-images.githubusercontent.com/25839884/205870927-39f4946d-8751-4219-a4c0-740117558fd7.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/205872898-e2e6009d-c6bb-4d27-8d07-117e697a3da8.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/203904835-62392033-02d4-4c73-a68c-c9e4c1e2b07f.jpg" height="400">
 </div>
 
 我们会在 OpenMMLab 社区为大家

diff --git a/docs/en/installation.md b/docs/en/installation.md
@@ -59,13 +59,13 @@ conda install pytorch torchvision cpuonly -c pytorch
 ```shell
 pip install -U openmim
 mim install mmengine
-mim install "mmcv>=2.0.0rc4"
+mim install "mmcv>=2.0.0"
 ```
 
 Note that some of the demo scripts in MMPose require [MMDetection](https://github.com/open-mmlab/mmdetection) (mmdet)  for human detection. If you want to run these demo scripts with mmdet, you can easily install mmdet as a dependency by running:
 
 ```shell
-mim install "mmdet>=3.0.0rc6"
+mim install "mmdet>=3.0.0"
 ```
 
 ## Best Practices
@@ -89,7 +89,7 @@ pip install -v -e .
 To use mmpose as a dependency or third-party package, install it with pip:
 
 ```shell
-mim install "mmpose>=1.0.0rc1"
+mim install "mmpose>=1.0.0"
 ```
 
 ## Verify the installation
@@ -173,7 +173,7 @@ To install MMCV with pip instead of MIM, please follow [MMCV installation guides
 For example, the following command install mmcv built for PyTorch 1.10.x and CUDA 11.3.
 
 ```shell
-pip install 'mmcv>=2.0.0rc1' -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
+pip install 'mmcv>=2.0.0' -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
 ```
 
 ### Install on CPU-only platforms
@@ -192,7 +192,7 @@ thus we only need to install MMEngine, MMCV and MMPose with the following comman
 ```shell
 !pip3 install openmim
 !mim install mmengine
-!mim install "mmcv>=2.0.0rc1"
+!mim install "mmcv>=2.0.0"
 ```
 
 **Step 2.** Install MMPose from the source.
@@ -208,7 +208,7 @@ thus we only need to install MMEngine, MMCV and MMPose with the following comman
 ```python
 import mmpose
 print(mmpose.__version__)
-# Example output: 1.0.0rc0
+# Example output: 1.0.0
 ```
 
 ```{note}

diff --git a/docs/zh_cn/installation.md b/docs/zh_cn/installation.md
@@ -57,13 +57,13 @@ conda install pytorch torchvision cpuonly -c pytorch
 ```shell
 pip install -U openmim
 mim install mmengine
-mim install "mmcv>=2.0.0rc1"
+mim install "mmcv>=2.0.0"
 ```
 
 请注意，MMPose 中的一些推理示例脚本需要使用 [MMDetection](https://github.com/open-mmlab/mmdetection) (mmdet) 检测人体。如果您想运行这些示例脚本，可以通过运行以下命令安装 mmdet:
 
 ```shell
-mim install "mmdet>=3.0.0rc0"
+mim install "mmdet>=3.0.0"
 ```
 
 ## 最佳实践
@@ -88,7 +88,7 @@ pip install -v -e .
 如果只是希望调用 MMPose 的接口，或者在自己的项目中导入 MMPose 中的模块。直接使用 mim 安装即可。
 
 ```shell
-mim install "mmpose>=1.0.0rc0"
+mim install "mmpose>=1.0.0"
 ```
 
 ## 验证安装
@@ -180,7 +180,7 @@ MMCV 包含 C++ 和 CUDA 扩展，因此其对 PyTorch 的依赖比较复杂。M
 举个例子，如下命令将会安装基于 PyTorch 1.10.x 和 CUDA 11.3 编译的 mmcv。
 
 ```shell
-pip install 'mmcv>=2.0.0rc1' -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
+pip install 'mmcv>=2.0.0' -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
 ```
 
 ### 在 CPU 环境中安装
@@ -198,7 +198,7 @@ MMPose 可以仅在 CPU 环境中安装，在 CPU 模式下，您可以完成训
 ```shell
 !pip3 install openmim
 !mim install mmengine
-!mim install "mmcv>=2.0.0rc1"
+!mim install "mmcv>=2.0.0"
 ```
 
 **第 2 步** 从源码安装 mmpose
@@ -214,7 +214,7 @@ MMPose 可以仅在 CPU 环境中安装，在 CPU 模式下，您可以完成训
 ```python
 import mmpose
 print(mmpose.__version__)
-# 预期输出： 1.0.0rc0
+# 预期输出： 1.0.0
 ```
 
 ```{note}