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update for 3.2
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.github/workflows/deploy_docs.yml

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name: Develop Docs
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on:
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push:
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branches: #设置更新哪个分支会更新站点
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- release/3.2
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permissions:
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contents: write
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Configure Git Credentials
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run: |
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git config user.name github-actions[bot]
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git config user.email 41898282+github-actions[bot]@users.noreply.github.com
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- uses: actions/setup-python@v5
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with:
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python-version: 3.x
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- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
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- uses: actions/cache@v4
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with:
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key: mkdocs-material-${{ env.cache_id }}
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path: .cache
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restore-keys: |
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mkdocs-material-
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- run: pip install mike mkdocs-material jieba mkdocs-git-revision-date-localized-plugin mkdocs-git-committers-plugin-2 mkdocs-git-authors-plugin mkdocs-static-i18n mkdocs-minify-plugin
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- run: |
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git fetch origin gh-pages --depth=1
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mike deploy --push --update-aliases 3.2 latest
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mike set-default --push latest

README.md

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@@ -35,6 +35,33 @@ PaddleX 3.0 是基于飞桨框架构建的低代码开发工具,它集成了
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## 📣 近期更新
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🔥🔥 **2025.8.19,发布 PaddleX v3.2.0**,新增能力如下:
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- **部署能力升级:**
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- **全面支持飞桨框架 3.1.0 和 3.1.1 版本。**
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- **高性能推理支持 CUDA 12,可使用 Paddle Inference、ONNX Runtime 后端推理。**
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- **高稳定性服务化部署方案全面开源,支持用户根据需求对 Docker 镜像和 SDK 进行定制化修改。**
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- 高稳定性服务化部署方案支持通过手动构造HTTP请求的方式调用,该方式允许客户端代码使用任意编程语言编写。
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- **重要模型新增:**
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- 新增 PP-OCRv5 英文、泰文、希腊文识别模型的训练、推理、部署。**其中 PP-OCRv5 英文模型较 PP-OCRv5 主模型在英文场景提升 11%,泰文识别模型精度 82.68%,希腊文识别模型精度 89.28%。**
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- **Benchmark升级:**
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- **全部产线支持产线细粒度 benchmark,能够测量产线端到端推理时间以及逐层、逐模块的耗时数据,可用于辅助产线性能分析。**
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- **在文档中补充各产线常用配置在主流硬件上的关键指标,包括推理耗时和内存占用等,为用户部署提供参考。**
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- **Bug修复:**
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- 修复了当输入图片文件格式不合法时,导致递归调用的问题。
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- 修复了 PP-DocTranslation 和 PP-StructureV3 产线配置文件中图表识别、印章识别、文档预处理参数设置不生效的问题。
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- 修复 PDF 文件在推理结束后未正确关闭的问题。
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- **其他升级:**
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- **支持 Windows 用户使用英伟达 50 系显卡,可根据安装文档安装对应版本的 paddle 框架。**
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- **PP-OCR 系列模型支持返回单文字坐标。**
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-`PaddlePredictorOption` 中的 `model_name` 参数移至 `PaddleInfer` 中,改善了用户易用性。
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- 重构了官方模型下载逻辑,新增了 AIStudio、ModelScope 等多模型托管平台。
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🔥🔥 **2025.6.28,发布 PaddleX v3.1.0**,新增能力如下:
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- **重要模型:**

README_en.md

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## 📣 Recent Updates
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🔥🔥 **2025.8.19, PaddleX v3.2.0 Released**
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- **Deployment Capability Upgrades:**
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- **Fully supports PaddlePaddle framework versions 3.1.0 and 3.1.1.**
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- **High-performance inference supports CUDA 12, with backend options including Paddle Inference and ONNX Runtime.**
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- **High-stability serving solution is fully open-sourced, enabling users to customize Docker images and SDKs as needed.**
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- High-stability serving solution supports invocation via manually constructed HTTP requests, allowing client applications to be developed in any programming language.
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- **Key Model Additions:**
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- Added training, inference, and deployment support for PP-OCRv5 English, Thai, and Greek recognition models. **The PP-OCRv5 English model delivers an 11% improvement over the main PP-OCRv5 model in English scenarios, with the Thai model achieving an accuracy of 82.68% and the Greek model 89.28%.**
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- **Benchmark Enhancements:**
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- **All pipelines support fine-grained benchmarking, enabling the measurement of end-to-end inference time as well as per-layer and per-module latency data to assist with performance analysis.**
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- **Added key metrics such as inference latency and memory usage for commonly used configurations on mainstream hardware to the documentation, providing deployment reference for users.**
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- **Bug Fixes:**
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- Fixed an issue where invalid input image file formats could cause recursive calls.
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- Resolved ineffective parameter settings for chart recognition, seal recognition, and document pre-processing in the configuration files for the PP-DocTranslation and PP-StructureV3 pipelines.
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- Fixed an issue where PDF files were not properly closed after inference.
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- **Other Updates:**
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- **Added support for Windows users with NVIDIA 50-series graphics cards; users can install the corresponding PaddlePaddle framework version as per the installation guide.**
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- **The PP-OCR model series now supports returning coordinates for individual characters.**
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- The `model_name` parameter in `PaddlePredictorOption` has been moved to `PaddleInfer`, improving usability.
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- Refactored the official model download logic, with new support for multiple model hosting platforms such as AIStudio and ModelScope.
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🔥🔥 **2025.6.28, PaddleX v3.1.0 Released**
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docs/CHANGELOG.en.md

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## Latest Version Information
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### PaddleX v3.2.0(8.19/2025)
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- **Deployment Capability Upgrades:**
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- **Fully supports PaddlePaddle framework versions 3.1.0 and 3.1.1.**
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- **High-performance inference supports CUDA 12, with backend options including Paddle Inference and ONNX Runtime.**
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- **High-stability serving solution is fully open-sourced, enabling users to customize Docker images and SDKs as needed.**
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- High-stability serving solution supports invocation via manually constructed HTTP requests, allowing client applications to be developed in any programming language.
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- **Key Model Additions:**
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- Added training, inference, and deployment support for PP-OCRv5 English, Thai, and Greek recognition models. **The PP-OCRv5 English model delivers an 11% improvement over the main PP-OCRv5 model in English scenarios, with the Thai model achieving an accuracy of 82.68% and the Greek model 89.28%.**
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- **Benchmark Enhancements:**
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- **All pipelines support fine-grained benchmarking, enabling the measurement of end-to-end inference time as well as per-layer and per-module latency data to assist with performance analysis.**
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- **Added key metrics such as inference latency and memory usage for commonly used configurations on mainstream hardware to the documentation, providing deployment reference for users.**
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- **Bug Fixes:**
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- Fixed an issue where invalid input image file formats could cause recursive calls.
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- Resolved ineffective parameter settings for chart recognition, seal recognition, and document pre-processing in the configuration files for the PP-DocTranslation and PP-StructureV3 pipelines.
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- Fixed an issue where PDF files were not properly closed after inference.
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- **Other Updates:**
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- **Added support for Windows users with NVIDIA 50-series graphics cards; users can install the corresponding PaddlePaddle framework version as per the installation guide.**
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- **The PP-OCR model series now supports returning coordinates for individual characters.**
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- The `model_name` parameter in `PaddlePredictorOption` has been moved to `PaddleInfer`, improving usability.
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- Refactored the official model download logic, with new support for multiple model hosting platforms such as AIStudio and ModelScope.
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### PaddleX v3.1.0(6.28/2025)
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- **Key Models:**

docs/CHANGELOG.md

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## 最新版本信息
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### PaddleX v3.2.0(8.19/2025)
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- **部署能力升级:**
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- **全面支持飞桨框架 3.1.0 和 3.1.1 版本。**
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- **高性能推理支持 CUDA 12,可使用 Paddle Inference、ONNX Runtime 后端推理。**
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- **高稳定性服务化部署方案全面开源,支持用户根据需求对 Docker 镜像和 SDK 进行定制化修改。**
15+
- 高稳定性服务化部署方案支持通过手动构造HTTP请求的方式调用,该方式允许客户端代码使用任意编程语言编写。
16+
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- **重要模型新增:**
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- 新增 PP-OCRv5 英文、泰文、希腊文识别模型的训练、推理、部署。**其中 PP-OCRv5 英文模型较 PP-OCRv5 主模型在英文场景提升 11%,泰文识别模型精度 82.68%,希腊文识别模型精度 89.28%。**
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- **Benchmark升级:**
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- **全部产线支持产线细粒度 benchmark,能够测量产线端到端推理时间以及逐层、逐模块的耗时数据,可用于辅助产线性能分析。**
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- **在文档中补充各产线常用配置在主流硬件上的关键指标,包括推理耗时和内存占用等,为用户部署提供参考。**
23+
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- **Bug修复:**
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- 修复了当输入图片文件格式不合法时,导致递归调用的问题。
26+
- 修复了 PP-DocTranslation 和 PP-StructureV3 产线配置文件中图表识别、印章识别、文档预处理参数设置不生效的问题。
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- 修复 PDF 文件在推理结束后未正确关闭的问题。
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- **其他升级:**
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- **支持 Windows 用户使用英伟达 50 系显卡,可根据安装文档安装对应版本的 paddle 框架。**
31+
- **PP-OCR 系列模型支持返回单文字坐标。**
32+
-`PaddlePredictorOption` 中的 `model_name` 参数移至 `PaddleInfer` 中,改善了用户易用性。
33+
- 重构了官方模型下载逻辑,新增了 AIStudio、ModelScope 等多模型托管平台。
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### PaddleX v3.1.0(6.28/2025)
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- **重要模型:**

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