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README.md

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## PaddleSeg重磅发布2.2版本,欢迎体验
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* 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;
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* 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
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* 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;
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* 即将推出了精细化的分割解决方案PaddleSeg-Matting;
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* 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)。详细的技术报告和源码即将在直播课公布。
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* 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)[源代码](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/AutoNUE)
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* 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
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* 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;
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* 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
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![demo](./docs/images/cityscapes.gif)
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README_EN.md

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[![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleSeg.svg)](https://github.com/PaddlePaddle/PaddleSeg/releases)
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![python version](https://img.shields.io/badge/python-3.6+-orange.svg)
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![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
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## PaddleSeg has released the new version including the following features:
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<img src="./docs/images/seg_news_icon.png" width="50"/> *[2021-06-19] PaddleSeg Team won the AutoNUE 2021 Challenge: Semantic Segmentation Track in CVPR 2021! Technical Report can be found [here](https://bj.bcebos.com/paddleseg/docs/autonue21_presentation_PaddleSeg.pdf). Code will be coming soon.*
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* Our team won the AutoNUE@CVPR 2021 challenge, where the technical [report](https://bj.bcebos.com/paddleseg/docs/autonue21_presentation_PaddleSeg.pdf)和and[source code](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/AutoNUE) are available.
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* We released an efficient interactive annotation tool for image segmentation, named [EISeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/EISeg).
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* We introduced [Panoptic-DeepLab](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/PanopticDeepLab), which is a proposal-free algorithm for panoptic segmentation.
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* We provided an ultra-lightweight [portrait segmentation](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/HumanSeg) solution for the mobile devices and even the web
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![demo](./docs/images/cityscapes.gif)
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