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##
最新动态
-* [2023-04-11] :fire: PaddleSeg 2.8版本发布!详细发版信息请参考[Release Note](https://github.com/PaddlePaddle/PaddleSeg/releases)。
- * 开源飞桨版本视觉大模型[Segment Anything Model](./contrib/SegmentAnything),提供演示Demo,支持全图分割的功能、使用提示输入分割的功能。
- * 发布超轻量级语义分割SOTA模型[PP-MobileSeg](./configs/pp_mobileseg):在ADE20K数据集上,PP-MobileSeg对比此前最优模型,精度提升1.5%、速度提升42.3%、参数量减少34.9%。
- * 发布工业质检全流程解决方案[QualityInspector v0.5](./contrib/QualityInspector):提供统一可配置的算法Pipeline,集成检测和分割模型库,支持3种无监督异常检测算法,支持工业级指标评测、分析、调优等功能。
- * 发布通用的全景分割解决方案[PanopticSeg v0.5](./contrib/PanopticSeg):提供全景分割的全流程开发功能,集成2个前沿高精模型,具备灵活的二次开发能力。
+* [2023-10-29] :fire: PaddleSeg 2.9版本发布!详细发版信息请参考[Release Note](https://github.com/PaddlePaddle/PaddleSeg/releases)。
+ * 增加对多标签分割[Multi-label segmentation](./configs/multilabelseg),提供数据转换代码及结果可视化,实现对一系列语义分割模型的多标签分割支持。
+ * 发布轻量视觉大模型[MobileSAM](./configs/SegmentAnything),实现更快速的SAM推理。
+ * 支持量化蒸馏训练压缩功能[Quant Aware Distillation Training Compression](./deploy/slim/act),对PP-LiteSeg、PP-MobileSeg、OCRNet、SegFormer-B0增加量化训练压缩功能,提升推理速度。
+
+* [2022-04-11] PaddleSeg 2.8版本发布视觉大模型[Segment Anything Model](./contrib/SegmentAnything)、轻量级语义分割SOTA模型[PP-MobileSeg](./configs/pp_mobileseg)、工业质检全流程解决方案[QualityInspector v0.5](./contrib/QualityInspector)、通用的全景分割解决方案[PanopticSeg v0.5](./contrib/PanopticSeg)。
* [2022-11-30] PaddleSeg 2.7版本发布实时人像抠图模型[PP-MattingV2](./Matting/)、3D医疗影像分割方案[MedicalSegV2](./contrib/MedicalSeg/)、轻量级语义分割模型[RTFormer](./configs/rtformer/)。
* [2022-07-20] PaddleSeg 2.6版本发布实时人像分割SOTA方案[PP-HumanSegV2](./contrib/PP-HumanSeg)、高性能智能标注工具[EISeg v1.0](./EISeg)正式版、ImageNet分割伪标签数据预训练方法PSSL,开源PP-MattingV1代码和预训练模型。
* [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-MattingV1,3D医疗影像开发套件MedicalSegV1,交互式分割工具EISeg v0.5。
diff --git a/README_EN.md b/README_EN.md
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##
News
- - [2023-04-11] :fire: PaddleSeg v2.8 is released! Check more details in Release Notes.
+ - [2023-10-29] :fire: PaddleSeg v2.9 is released! Check more details in Release Notes.
- - Release Segment Anything Model based on PaddlePaddle. Demos are provided to demonstrate the function of automatic full-image segmentation and specified object segmentation with prompt input.
- - Release PP-MobileSeg, a lightweight semantic segmentation model for mobile devices. Comparing PP-MobileSeg with other models on the ADE20K dataset, the segmentation accuracy is improved by 1.5%, the inference speed is accelerated by 42.3%, and the number of parameters is decreased by 34.9%.
- - Release QualityInspector v0.5, a full-process solution for industrial quality inspection. It provides a unified and configurable pipeline for single-task and multi-task models, integrates detection and segmentation model libraries, and supports three unsupervised quality inspection methods.
- - Release PanopticSeg v0.5, a universal panoptic segmentation solution. It provides the full-process capabilities of panoptic segmentation, integrates two models, and has flexible secondary development capabilities.
+ - Support Multi-label segmentation, it procides multi-label segmentation support on a serie of semantic segmetation models.
+ - Release Mobile SAM, faster version of Segment Anything Model.
+ - Support Quant Aware Distillation Training Compression for PP-LiteSeg, PP-MobileSeg, OCRNet, and SegFormer-B0 to improve model inference speed.
+ - [2022-04-11] PaddleSeg v2.8 released Segment Anything Model, an original light-weight semantic segmentation model on mobile devices PP-MobileSeg, QualityInspector v0.5, a full-process solution for industrial quality inspection, and PanopticSeg v0.5, a universal panoptic segmentation solution.
- [2022-11-30] PaddleSeg v2.7 released a real-time human matting model PP-MattingV2, a 3D medical image segmentation solution MedicalSegV2, and a real-time semantic segmentation model RTFormer.
- [2022-07-20] PaddleSeg v2.6 released a real-time human segmentation SOTA solution PP-HumanSegV2, a stable-version semi-automatic segmentation annotation tool EISeg v1.0, a pseudo label pre-training method PSSL, and the source code of PP-MattingV1.
- [2022-04-20] PaddleSeg v2.5 released a real-time semantic segmentation model PP-LiteSeg, a trimap-free image matting model PP-MattingV1, and an easy-to-use solution for 3D medical image segmentation MedicalSegV1.