PaddlePaddle · michaelowenliu · Jul 22, 2021 · Jul 20, 2021 · Jul 22, 2021
diff --git a/README_CN.md b/README_CN.md
@@ -2,44 +2,41 @@
 
 # PaddleSeg
 
-[![Build Status](https://travis-ci.org/PaddlePaddle/PaddleSeg.svg?branch=master)](https://travis-ci.org/PaddlePaddle/PaddleSeg)
+[![Build Status](https://travis-ci.org/PaddlePaddle/PaddleSeg.svg?branch=release/2.1)](https://travis-ci.org/PaddlePaddle/PaddleSeg)
 [![License](https://img.shields.io/badge/license-Apache%202-blue.svg)](LICENSE)
 [![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleSeg.svg)](https://github.com/PaddlePaddle/PaddleSeg/releases)
 ![python version](https://img.shields.io/badge/python-3.6+-orange.svg)
 ![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
 
-<img src="./docs/images/seg_news_icon.png" width="50"/> *[2021-06-19] PaddleSeg团队获得CVPR2021 AutoNUE语义分割赛道冠军! 已发布[演讲报告](https://bj.bcebos.com/paddleseg/docs/autonue21_presentation_PaddleSeg.pdf)。详细的技术报告和源码即将公布。*
 
-![demo](./docs/images/cityscapes.gif)
+## PaddleSeg重磅发布2.2版本，欢迎体验
 
+* PaddleSeg团队在CVPR2021 AutoNUE语义分割赛道中获得冠军! 已发布[演讲报告](https://bj.bcebos.com/paddleseg/docs/autonue21_presentation_PaddleSeg.pdf)和[源代码](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/AutoNUE)。
+* 发布了交互式分割的智能标注工具 [EISeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/EISeg)。极大的提升了标注效率；
+* 开源了全景分割算法[Panoptic-DeepLab](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/PanopticDeepLab)丰富了模型种类；
+* 全新升级了[人像分割](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/HumanSeg)功能，提供了web端超轻量模型部署方案
+
+## PaddleSeg介绍
 PaddleSeg是基于飞桨[PaddlePaddle](https://www.paddlepaddle.org.cn)开发的端到端图像分割开发套件，涵盖了**高精度**和**轻量级**等不同方向的大量高质量分割模型。通过模块化的设计，提供了**配置化驱动**和**API调用**两种应用方式，帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。
 
-## <img src="./docs/images/love.png" width="40"/> 重要活动提醒
+* ### PaddleSeg提供了语义分割、交互式分割、全景分割、Matting四大图像分割能力。
 
-✨直播课预告--全球冠军带你实现产业级图像分割✨  
+<div align="center">
+<img src="./docs/images/nengli.gif"  width = "2000" />  
+</div>
 
-* 直播链接：http://live.bilibili.com/21689802
 
 
 
-* Day① 7.13 20:15-21:30
-    * 主题：顶会冠军图像分割算法深度解密
-        * 语义分割全系列算法讲解
-        * CVPR冠军解析自动驾驶场景理解方案
-        * 揭秘百度全新Transformer算法
+---------------
 
-* Day② 7.14 20:15-21:30
-    * 主题：高精度人像分割算法及应用
-        * 实时人像分割技术难点及实现
-        *  Web端超轻量模型设计方案
-        * 精细化分割Matting技术详解
+ * ### PaddleSeg被广泛的应用在自动驾驶、医疗、质检、巡检、娱乐等场景。
 
-* Day③ 7.15 20:15-21:30
-    * 主题：交互式分割及破圈应用
-        * 交互式分割算法及优化技巧
-        * 高效智能标注功能的实现
-        * 交互式分割的产业创新应用
+<div align="center">
+<img src="./docs/images/changjing.gif"  width = "2000" />  
+</div>
 
+----------------
 ## 特性 <img src="./docs/images/feature.png" width="30"/>
 
 
@@ -49,43 +46,38 @@ PaddleSeg是基于飞桨[PaddlePaddle](https://www.paddlepaddle.org.cn)开发的
 
 * <img src="./docs/images/f3.png" width="20"/> **高性能**：支持多进程异步I/O、多卡并行训练、评估等加速策略，结合飞桨核心框架的显存优化功能，可大幅度减少分割模型的训练开销，让开发者更低成本、更高效地完成图像分割训练。
 * :heart:**您可以前往  [完整PaddleSeg在线使用文档目录](https://paddleseg.readthedocs.io)  获得更详细的说明文档**:heart:
+----------
+
+
+## <img src="./docs/images/love.png" width="40"/> 直播课回放
+
+✨直播课回放--全球冠军带你实现产业级图像分割✨  
+
+* 学习链接：https://aistudio.baidu.com/aistudio/education/group/info/24590
+
+* Day① 顶会冠军图像分割算法深度解密
+
+* Day② 高精度人像分割算法及应用
+
+* Day③ 交互式分割及破圈应用
 
 
 ## 技术交流 <img src="./docs/images/chat.png" width="30"/>
 
 * 如果你发现任何PaddleSeg存在的问题或者是建议, 欢迎通过[GitHub Issues](https://github.com/PaddlePaddle/PaddleSeg/issues)给我们提issues。
 * 欢迎加入PaddleSeg微信群（左侧）和QQ群（右侧）
 <div align="center">
-<img src="./docs/images/wechat_qq_630.png"  width = "500" />  
+<img src="./docs/images/wechat_qq_711.png"  width = "500" />  
+</div>
+
+## 模型说明  <img src="./docs/images/model.png" width="20"/>
+
+[Model Zoo](./configs/)
+
+<div align="center">
+<img src="./docs/images/xingnengtu.png"    width = "700"/>  
 </div>
 
-## 模型库  <img src="./docs/images/model.png" width="20"/>
-
-|模型\骨干网络|ResNet50|ResNet101|HRNetw18|HRNetw48|
-|-|-|-|-|-|
-|[ANN](./configs/ann)|✔|✔|||
-|[BiSeNetv2](./configs/bisenet)|-|-|-|-|
-|[DANet](./configs/danet)|✔|✔|||
-|[Deeplabv3](./configs/deeplabv3)|✔|✔|||
-|[Deeplabv3P](./configs/deeplabv3p)|✔|✔|||
-|[Fast-SCNN](./configs/fastscnn)|-|-|-|-|
-|[FCN](./configs/fcn)|||✔|✔|
-|[GCNet](./configs/gcnet)|✔|✔|||
-|[GSCNN](./configs/gscnn)|✔|✔|||
-|[HarDNet](./configs/hardnet)|-|-|-|-|
-|[OCRNet](./configs/ocrnet/)|||✔|✔|
-|[PSPNet](./configs/pspnet)|✔|✔|||
-|[U-Net](./configs/unet)|-|-|-|-|
-|[U<sup>2</sup>-Net](./configs/u2net)|-|-|-|-|
-|[Att U-Net](./configs/attention_unet)|-|-|-|-|
-|[U-Net++](./configs/unet_plusplus)|-|-|-|-|
-|[U-Net3+](./configs/unet_3plus)|-|-|-|-|
-|[DecoupledSegNet](./configs/decoupled_segnet)|✔|✔|||
-|[EMANet](./configs/emanet)|✔|✔|-|-|
-|[ISANet](./configs/isanet)|✔|✔|-|-|
-|[DNLNet](./configs/dnlnet)|✔|✔|-|-|
-|[SFNet](./configs/sfnet)|✔|-|-|-|
-|[PPSegLite](./configs/ppseg_lite)|-|-|-|-|
 
 ## 使用教程 <img src="./docs/images/teach.png" width="30"/>
 
@@ -126,16 +118,16 @@ PaddleSeg是基于飞桨[PaddlePaddle](https://www.paddlepaddle.org.cn)开发的
 
 ## 实践案例 <img src="./docs/images/anli.png" width="20"/>
 
-* [人像分割](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1/contrib/HumanSeg)
-* [医疗图像](./docs/solution/medical/medical.md)
-* [遥感分割](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1/contrib/remote_sensing)
-* [全景分割](./contrib/PanopticDeepLab)
+- [人像分割](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1/contrib/HumanSeg)
+- [医疗图像](./docs/solution/medical/medical.md)
+- [遥感分割](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1/contrib/remote_sensing)
+- [全景分割](./contrib/PanopticDeepLab)
 
 ## 代码贡献
 
-* 非常感谢[jm12138](https://github.com/jm12138)贡献U<sup>2</sup>-Net模型。
-* 非常感谢[zjhellofss](https://github.com/zjhellofss)（傅莘莘）贡献Attention U-Net模型，和Dice loss损失函数。
-* 非常感谢[liuguoyu666](https://github.com/liguoyu666)贡献U-Net++模型。
+- 非常感谢[jm12138](https://github.com/jm12138)贡献U<sup>2</sup>-Net模型。
+- 非常感谢[zjhellofss](https://github.com/zjhellofss)（傅莘莘）贡献Attention U-Net模型，和Dice loss损失函数。
+- 非常感谢[liuguoyu666](https://github.com/liguoyu666)贡献U-Net++模型。
 
 ## 学术引用 <img src="./docs/images/yinyong.png" width="30"/>
 

diff --git a/configs/README.md b/configs/README.md
@@ -1,3 +1,47 @@
+# 模型库
+
+|模型\骨干网络|ResNet50|ResNet101|HRNetw18|HRNetw48|
+|-|-|-|-|-|
+|[ANN](./configs/ann)|✔|✔|||
+|[BiSeNetv2](./configs/bisenet)|-|-|-|-|
+|[DANet](./configs/danet)|✔|✔|||
+|[Deeplabv3](./configs/deeplabv3)|✔|✔|||
+|[Deeplabv3P](./configs/deeplabv3p)|✔|✔|||
+|[Fast-SCNN](./configs/fastscnn)|-|-|-|-|
+|[FCN](./configs/fcn)|||✔|✔|
+|[GCNet](./configs/gcnet)|✔|✔|||
+|[GSCNN](./configs/gscnn)|✔|✔|||
+|[HarDNet](./configs/hardnet)|-|-|-|-|
+|[OCRNet](./configs/ocrnet/)|||✔|✔|
+|[PSPNet](./configs/pspnet)|✔|✔|||
+|[U-Net](./configs/unet)|-|-|-|-|
+|[U<sup>2</sup>-Net](./configs/u2net)|-|-|-|-|
+|[Att U-Net](./configs/attention_unet)|-|-|-|-|
+|[U-Net++](./configs/unet_plusplus)|-|-|-|-|
+|[U-Net3+](./configs/unet_3plus)|-|-|-|-|
+|[DecoupledSegNet](./configs/decoupled_segnet)|✔|✔|||
+|[EMANet](./configs/emanet)|✔|✔|-|-|
+|[ISANet](./configs/isanet)|✔|✔|-|-|
+|[DNLNet](./configs/dnlnet)|✔|✔|-|-|
+|[SFNet](./configs/sfnet)|✔|-|-|-|
+|[PPSegLite](./configs/ppseg_lite)|-|-|-|-|
+
+# 模型说明
+
+<div align="center">
+<img src="../docs/images/xingnengtu.png"   width = "700"//>  
+</div>
+
+# 模型性能参数
+
+<div align="center">
+<img src="../docs/images/xingneng.png"/>  
+</div>
+
+- 表格展示了PaddleSeg所实现的分割模型在取得最高分类精度的配置下的一些评价参数。
+- 其中，mIoU、mIoU(flip)、mIoU(ms+flip)是对模型进行评估的结果。
+- 推理时间是使用CityScapes数据集中的图像进行100次预测取平均值的结果。
+
 # 配置项
 
 ----

diff --git a/docs/images/1626186920324.gif b/docs/images/1626186920324.gif
diff --git a/docs/images/changjing.gif b/docs/images/changjing.gif
diff --git a/docs/images/eiseg.gif b/docs/images/eiseg.gif
diff --git a/docs/images/matting.gif b/docs/images/matting.gif
diff --git a/docs/images/nengli.gif b/docs/images/nengli.gif
diff --git a/docs/images/quanjing.gif b/docs/images/quanjing.gif
diff --git a/docs/images/readme/cityscapes.gif b/docs/images/readme/cityscapes.gif
diff --git a/docs/images/readme/med.gif b/docs/images/readme/med.gif
diff --git a/docs/images/readme/二次元.gif b/docs/images/readme/二次元.gif
diff --git a/docs/images/readme/人体解析.gif b/docs/images/readme/人体解析.gif
diff --git a/docs/images/readme/人像分割-0.gif b/docs/images/readme/人像分割-0.gif
diff --git a/docs/images/readme/人像分割.gif b/docs/images/readme/人像分割.gif
diff --git a/docs/images/readme/表盘.gif b/docs/images/readme/表盘.gif
diff --git a/docs/images/readme/车道线.gif b/docs/images/readme/车道线.gif
diff --git a/docs/images/readme/遥感分割.gif b/docs/images/readme/遥感分割.gif
diff --git a/docs/images/wechat_qq_710.png b/docs/images/wechat_qq_710.png
diff --git a/docs/images/wechat_qq_711.png b/docs/images/wechat_qq_711.png
diff --git a/docs/images/xingneng.png b/docs/images/xingneng.png
diff --git a/docs/images/xingnengtu.png b/docs/images/xingnengtu.png