[Docs] Add the link of mmhuman3d (#1561)

* Add the link of mmhuman3d * fix typo * add link of mim * add link of mim in docs * improve the table format

[Docs] Add the link of mmhuman3d (#1561)
* Add the link of mmhuman3d * fix typo * add link of mim * add link of mim in docs * improve the table format
44e7eee8 · Zaida Zhou · GitHub · 9b227ecf · 44e7eee8 · 44e7eee8
Unverified Commit 44e7eee8 authored Dec 07, 2021 by Zaida Zhou Committed by GitHub Dec 07, 2021
7 changed files
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -6,7 +6,7 @@ on:
      - 'README.md'
      - 'README_zh-CN.md'
      - 'docs/**'
-      - 'docs_zh-CN/**'
+      - 'docs_zh_CN/**'
      - 'examples/**'
      - '.dev_scripts/**'

@@ -15,7 +15,7 @@ on:
      - 'README.md'
      - 'README_zh-CN.md'
      - 'docs/**'
-      - 'docs_zh-CN/**'
+      - 'docs_zh_CN/**'
      - 'examples/**'
      - '.dev_scripts/**'


--- a/README.md
+++ b/README.md
@@ -11,7 +11,6 @@ English | [简体中文](README_zh-CN.md)
 MMCV is a foundational library for computer vision research and supports many
 research projects as below:

- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision.
 - [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.
 - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
 - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
@@ -25,6 +24,7 @@ research projects as below:
 - [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox.
 - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark.
 - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab FewShot Learning Toolbox and Benchmark.
+- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark.

 It provides the following functionalities.

@@ -100,12 +100,12 @@ For more details, please refer the the following tables.
  <tbody>
    <tr>
      <th width="80"> CUDA </th>
-      <th valign="bottom" align="left" width="120">torch1.10</th>
-      <th valign="bottom" align="left" width="100">torch1.9</th>
-      <th valign="bottom" align="left" width="100">torch1.8</th>
-      <th valign="bottom" align="left" width="100">torch1.7</th>
-      <th valign="bottom" align="left" width="100">torch1.6</th>
-      <th valign="bottom" align="left" width="100">torch1.5</th>
+      <th valign="bottom" align="left" width="120">torch 1.10</th>
+      <th valign="bottom" align="left" width="120">torch 1.9</th>
+      <th valign="bottom" align="left" width="120">torch 1.8</th>
+      <th valign="bottom" align="left" width="120">torch 1.7</th>
+      <th valign="bottom" align="left" width="120">torch 1.6</th>
+      <th valign="bottom" align="left" width="120">torch 1.5</th>
    </tr>
    <tr>
      <td align="left">11.3</td>

--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -10,7 +10,6 @@

 MMCV 是一个面向计算机视觉的基础库，它支持了很多开源项目，例如：

- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab 计算机视觉基础库
 - [MIM](https://github.com/open-mmlab/mim): OpenMMLab 项目、算法、模型的统一入口
 - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱与测试基准
 - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 检测工具箱与测试基准
@@ -24,6 +23,7 @@ MMCV 是一个面向计算机视觉的基础库，它支持了很多开源项目
 - [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 新一代生成模型工具箱
 - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准
 - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab 少样本学习工具箱与测试基准
+- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准

 MMCV 提供了如下众多功能：

@@ -97,12 +97,12 @@ pip install mmcv-full==1.3.9 -f https://download.openmmlab.com/mmcv/dist/cu111/t
  <tbody>
    <tr>
      <th width="80"> CUDA </th>
-      <th valign="bottom" align="left" width="120">torch1.10</th>
-      <th valign="bottom" align="left" width="100">torch1.9</th>
-      <th valign="bottom" align="left" width="100">torch1.8</th>
-      <th valign="bottom" align="left" width="100">torch1.7</th>
-      <th valign="bottom" align="left" width="100">torch1.6</th>
-      <th valign="bottom" align="left" width="100">torch1.5</th>
+      <th valign="bottom" align="left" width="120">torch 1.10</th>
+      <th valign="bottom" align="left" width="120">torch 1.9</th>
+      <th valign="bottom" align="left" width="120">torch 1.8</th>
+      <th valign="bottom" align="left" width="120">torch 1.7</th>
+      <th valign="bottom" align="left" width="120">torch 1.6</th>
+      <th valign="bottom" align="left" width="120">torch 1.5</th>
    </tr>
    <tr>
      <td align="left">11.3</td>

--- a/docs/conf.py
+++ b/docs/conf.py
@@ -165,6 +165,10 @@ html_theme_options = {
                    'name': 'MMFewShot',
                    'url': 'https://mmfewshot.readthedocs.io/en/latest/',
                },
+                {
+                    'name': 'MMHuman3D',
+                    'url': 'https://mmhuman3d.readthedocs.io/en/latest/',
+                },
            ]
        },
        {

--- a/docs/get_started/introduction.md
+++ b/docs/get_started/introduction.md
@@ -3,6 +3,7 @@
 MMCV is a foundational library for computer vision research and supports many
 research projects as below:

+- [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.
 - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
 - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
 - [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection.
@@ -11,8 +12,11 @@ research projects as below:
 - [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark.
 - [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark.
 - [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox.
- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition and understanding toolbox.
+- [MMOCR](https://github.com/open-mmlab/mmocr): A Comprehensive Toolbox for Text Detection, Recognition and Understanding.
 - [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox.
+- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark.
+- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab FewShot Learning Toolbox and Benchmark.
+- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark.

 It provides the following functionalities.


--- a/docs_zh_CN/conf.py
+++ b/docs_zh_CN/conf.py
@@ -169,6 +169,10 @@ html_theme_options = {
                    'name': 'MMFewShot',
                    'url': 'https://mmfewshot.readthedocs.io/zh_CN/latest/',
                },
+                {
+                    'name': 'MMHuman3D',
+                    'url': 'https://mmhuman3d.readthedocs.io/en/latest/',
+                },
            ]
        },
        {

--- a/docs_zh_CN/get_started/introduction.md
+++ b/docs_zh_CN/get_started/introduction.md
@@ -2,16 +2,20 @@

 MMCV 是一个面向计算机视觉的基础库，它支持了很多开源项目，例如：

- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱
- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 目标检测工具箱
- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱
- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab 新一代视频理解工具箱
+- [MIM](https://github.com/open-mmlab/mim): OpenMMLab 项目、算法、模型的统一入口
+- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱与测试基准
+- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 检测工具箱与测试基准
+- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用3D目标检测平台
+- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱与测试基准
+- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab 新一代视频理解工具箱与测试基准
 - [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab 一体化视频目标感知平台
- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱
+- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱与测试基准
 - [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱
 - [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具包
- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 图片视频生成模型工具箱
+- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 新一代生成模型工具箱
+- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准
+- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab 少样本学习工具箱与测试基准
+- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准

 MMCV 提供了如下众多功能：