PaddleSeg v2.9.0

New Project

• Add support for multi-label segmentation, including code for data conversion and result visualization. (#3479)
• Add quantitative awareness training support for PP-LiteSeg, PP-MobileSeg, OCRNet, and SegFormer-B0 to improve model inference speed. (#3457)
• Add MobileSAM model to achieve faster SAM inference (#3346)

New feature

• Add support for mlu, npu, xpu. (#3422)
• Add more devices for TIPC including mlu, npu and xpu. (#3459)

Bug fixes

• Solve the model accuracy problem of pp_mobileseg. (#3443)
• Suppress Paddle 0-dimensional tensor warning. (#3423)
• Replace concat with stack to solve the 0-dimensional tensor problem. (#3356)
• Remove fluid API in rvm. (#3417)
• Fixed multiple problems after stride is supported. (#3412, #3414, #3413)
• Fix tool/model/analyze_model.py analysis flops problem. (#3404)
• Fix image data reading problem, modify paddleseg/transforms/transforms.py. (#3377)
• Fix CityscapesSOTA export error. (#3358)
• Fix auc_roc configuration in predict. (#3446)
• Remove invalid parameter num_class in losses/focal_loss.py. (#3451)
• Fixed syntax issues in nnunet/infer.py. (#3460)
• Optimize labelme2seg code and corresponding documentation. (#3497)

Documentation fix

• Fixed grammatical errors in some Readme documents. (#3463)
• Fixed invalid URL in doc/video.md.(#3452)
• Add data set alias SegDataset.(#3427)
• Update python version configuration of npu-tipc.(#3402)
• Fix the device's configuration in TIPC and solve the mismatch problem between configuration and script function.(#3393)
• Modify model_export_cn.md and add the steps to export dynamic_shape.pdtxt.(#3378)

New Contributors

• @kongdebug made their first contribution in #3075
• @zoooo0820 made their first contribution in #3230
• @TingquanGao made their first contribution in #3263
• @EmmonsCurse made their first contribution in #3318
• @MINGtoMING made their first contribution in #3479
• @ranchongzhi made their first contribution in #3514

PaddleSeg v2.9.0

新项目

• 增加对多标签分割的支持、并提供数据转换代码及结果可视化。（#3479）
• 对PP-LiteSeg、PP-MobileSeg、OCRNet、SegFormer-B0增加量化训练压缩功能，提升推理速度。（#3457）
• 增加MobileSAM模型，实现更快速的SAM推理。（#3346）

新功能

• 增加对mlu、npu、xpu的支持。（#3422）
• 增加基于mlu、npu、xpu进行TIPC。（#3459）

Bug修复

• 解决pp_mobileseg的模型精度问题。（#3443）
• 抑制Paddle 0维tensor警告。（#3423）
• 将concat替换为stack解决0维tensor问题。（#3356）
• 移除rvm中的fluid api。（#3417）
• 修复支持stride后，出现OOM、slice、split等共享显存降速、动转静检查误报问题。(#3412, #3414, #3413)
• 修复tool/model/analyze_model.py中flops的问题。（#3404）
• 修复image数据读入问题，修改paddleseg/transforms/transforms.py。（#3377）
• 修复CityscapesSOTA导出错误。（#3358）
• 修正predict中的auc_roc配置。（#3446）
• 去除losses/focal_loss.py中无效参数num_class。(#3451)
• 修正nnunet/infer.py中的语法问题。（#3460）
• 优化labelme2seg的代码和对应文档。（#3497）

文档修复

• 修正部分Readme文档的语法错误。（#3463）
• 修正doc/video.md中无效url。（#3452）
• 增加数据集别名SegDataset。（#3427）
• 更新npu-tipc的python版本配置。（#3402）
• 修复TIPC中device的配置，解决配置与脚本功能不匹配问题。 (#3393)
• 修改model_export_cn.md，添加导出dynamic_shape.pdtxt的操作步骤。 (#3378)

Full Changelog: v2.8.0...v2.9.0