[Doc] Add release notes (#2339)

README.md

@@ -8,11 +8,11 @@ English | [简体中文](README_CN.md)
 
 **A High-Efficient Development Toolkit for Image Segmentation based on [PaddlePaddle](https://github.com/paddlepaddle/paddle).**
 
-[![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)
+![stars](https://img.shields.io/github/stars/PaddlePaddle/PaddleSeg?color=ccf)
 
 </div>
 
@@ -23,16 +23,16 @@ English | [简体中文](README_CN.md)
 
 ## <img src="./docs/images/seg_news_icon.png" width="20"/> News
 <ul class="nobull">
-  <li>[2022-04-20] :fire: PaddleSeg v2.5 is released! More details in <a href="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
+  <li>[2022-07-20] :fire: PaddleSeg v2.6 is released! More details in <a href="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
     <ul>
-        <li>Release <a href="./configs/pp_liteseg">PP-LiteSeg</a>, a real-time semantic segmentation model. It achieves SOTA trade-off between segmentation accuracy and inference speed. [<a href="https://arxiv.org/pdf/2204.02681.pdf">techical report</a>]</li>
-        <li>Release <a href="./Matting">PP-Matting</a>, a trimap-free image matting model for extremely fine-grained segmentation. It achieves SOTA performance on Composition-1k and Distinctions-646. [<a href="https://arxiv.org/abs/2204.09433">techical report</a>]</li>
-        <li>Release <a href="./contrib/MedicalSeg">MedicalSeg</a>, a newly easy-to-use toolkit for 3D medical image segmentation. It supports the whole process including data preprocessing, model training, and model deployment, and provides the high-accuracy models on lung and spine segmentation.
-        <li>Upgrade the interactive annotation tool <a href="./EISeg">EISeg v0.5</a> with supporting new areas in chest X-Ray, MRI spine, and defect inspection.</li>
-        <li>Add 5 semantic segmentatioin models, including variants of PP-LiteSeg.</li>
+        <li>Release <a href="./contrib/PP-HumanSeg">PP-HumanSeg v2</a>, an off-the-shelf human segmentation model. It achieves 64.26 FPS on the mobile device, which is 45.5% faster than before. </li>
+        <li>Release <a href="./EISeg">EISeg v1.0</a>, the stable-version semi-automatic tool for image, video and 3D slice data annotation. It achieves "Once for All" (training once, and labelling all) performance. </li>
+        <li>Release <a href="./configs/pssl">PSSL</a>, a novel pre-training method, including a large dataset that consists of 1.2M+ pseudo semantic segmentation labels corresponding to the whole ImageNet training set. It boosts the performances of various models on all downstream tasks.
+        <li>Release <a href="./Matting">PP-Matting</a> source code and the pre-trained models. Also, add five more matting methods in machine learning that allow direct usage without training.</li>
+        <li>Release the industrial model series: high-accuracy models, light-weight models, and super light-weight models, to help developers pick up the most suitable one.</li>
     </ul>
+<li>[2022-04-20] PaddleSeg v2.5 released a real-time semantic segmentation model <a href="./configs/pp_liteseg">PP-LiteSeg</a>, a trimap-free image matting model <a href="./Matting">PP-Matting</a>, and an easy-to-use toolkit for 3D medical image segmentation <a href="./contrib/MedicalSeg">MedicalSeg</a>.</li>
  <li>[2022-01-20] We release PaddleSeg v2.4 with EISeg v0.4, and <a href="./contrib/PP-HumanSeg">PP-HumanSeg</a> including open-sourced dataset <a href="./contrib/PP-HumanSeg/paper.md#pp-humanseg14k-a-large-scale-teleconferencing-video-dataset">PP-HumanSeg14K</a>. </li>
- <li>[2021-10-11] We released PaddleSeg v2.3 with the improved interactive segmentation tool EISeg v0.3, two matting algorithms, and segmentation model compression.</li>
 
 </ul>
 

README_CN.md

@@ -6,13 +6,14 @@
   <img src="./docs/images/paddleseg_logo.png" align="middle" width = "500" />
 </p>
 
-**强大易用的飞桨图像分割开发套件，端到端完成从训练到部署的全流程图像分割应用。**
+**飞桨高性能图像分割开发套件，端到端完成从训练到部署的全流程图像分割应用。**
+
 
-[![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)
+![stars](https://img.shields.io/github/stars/PaddlePaddle/PaddleSeg?color=ccf)
 </div>
 
 <div align="center">
@@ -21,14 +22,15 @@
 
 ## <img src="./docs/images/seg_news_icon.png" width="20"/> 最新动态
 
-* [2022-04-20] :fire: PaddleSeg 2.5版本发布！详细发版信息请参考[Release Note](https://github.com/PaddlePaddle/PaddleSeg/releases)。
-  * 发布超轻量级语义分割模型[PP-LiteSeg](./configs/pp_liteseg)以及[技术报告](https://arxiv.org/pdf/2204.02681.pdf)，实现精度和速度的最佳平衡。
-  * 发布高精度trimap-free抠图模型[PP-Matting](./Matting)以及[技术报告](https://arxiv.org/abs/2204.09433)，在Composition-1K和Distinctions-646上实现SOTA指标。
-  * 发布3D医疗影像开发套件[MedicalSeg](./contrib/MedicalSeg)，支持数据预处理、模型训练、模型部署等全流程开发，并提供肺部、椎骨数据上的高精度分割模型。
-  * 升级智能标注工具[EISeg v0.5](./EISeg)版，新增X-Ray胸腔标注、MRI椎骨标注、铝板瑕疵标注。
-  * 新增5个经典分割模型, 包括多个版本的PP-LiteSeg，总模型数达到45个。
-* [2022-01-20] PaddleSeg 2.4版本发布交互式分割工具EISeg v0.4，超轻量级人像分割方案[PP-HumanSeg](./contrib/PP-HumanSeg)，以及大规模视频会议数据集[PP-HumanSeg14K](./contrib/PP-HumanSeg/paper.md#pp-humanseg14k-a-large-scale-teleconferencing-video-dataset)。
-* [2021-10-11] PaddleSeg 2.3版本发布交互式分割工具EISeg v0.3，开源两种[Matting](./contrib/Matting)算法，以及分割高阶功能[模型蒸馏](./slim/distill)和[模型量化](./slim/quant)方案。
+* [2022-07-20] :fire: PaddleSeg 2.6版本发布！详细发版信息请参考[Release Note](https://github.com/PaddlePaddle/PaddleSeg/releases)。
+  * 发布实时人像分割模型[PP-HumanSeg v2](./contrib/PP-HumanSeg)，推理速度提升45.5%，移动端达到64.26 FPS，分割精度更高、通用型更强、零成本开箱即用。
+  * 发布高性能智能标注工具[EISeg v1.0](./EISeg)正式版，实现一次训练万物可标，加速提升图像、视频、3D医疗影像等领域的分割标注效率。
+  * 发布120多万张ImageNet分割伪标签数据集，以及预训练方法[PSSL](./configs/pssl)，全面提升分割模型在下游任务上的性能。
+  * 开源[PP-Matting](./Matting)代码和预训练模型，并新增5种传统机器学习抠图方法，无需训练可直接使用。
+  * 发布产业级语义分割模型，包括高精度、轻量级和超轻量级系列。
+* [2022-04-20] PaddleSeg 2.5版本发布超轻量级语义分割模型[PP-LiteSeg](./configs/pp_liteseg)，高精度抠图模型PP-Matting，3D医疗影像开发套件[MedicalSeg](./contrib/MedicalSeg)，交互式分割工具EISeg v0.5。
+* [2022-01-20] PaddleSeg 2.4版本发布交互式分割工具EISeg v0.4，超轻量级人像分割方案PP-HumanSeg，以及大规模视频会议数据集[PP-HumanSeg14K](./contrib/PP-HumanSeg/paper.md#pp-humanseg14k-a-large-scale-teleconferencing-video-dataset)。
+