update for 3.2

.github/workflows/deploy_docs.yml

@@ -0,0 +1,31 @@
+name: Develop Docs
+on:
+  push:
+    branches: #设置更新哪个分支会更新站点
+      - release/3.2
+permissions:
+  contents: write
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Configure Git Credentials
+        run: |
+          git config user.name github-actions[bot]
+          git config user.email 41898282+github-actions[bot]@users.noreply.github.com
+      - uses: actions/setup-python@v5
+        with:
+          python-version: 3.x
+      - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
+      - uses: actions/cache@v4
+        with:
+          key: mkdocs-material-${{ env.cache_id }}
+          path: .cache
+          restore-keys: |
+            mkdocs-material-
+      - 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 
+      - run: |
+          git fetch origin gh-pages --depth=1
+          mike deploy --push --update-aliases 3.2 latest
+          mike set-default --push latest

README.md

@@ -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
 
 ## 📣 近期更新
 
+🔥🔥 **2025.8.19，发布 PaddleX v3.2.0**，新增能力如下：
+
+- **部署能力升级：**
+    - **全面支持飞桨框架 3.1.0 和 3.1.1 版本。**
+    - **高性能推理支持 CUDA 12，可使用 Paddle Inference、ONNX Runtime 后端推理。**
+    - **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。**
+    - 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。
+
+- **重要模型新增：**
+    - 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%。**
+
+- **Benchmark升级：**
+    - **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。**
+    - **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。**
+
+- **Bug修复：**
+    - 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。
+    - 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。
+    - 修复 PDF 文件在推理结束后未正确关闭的问题。
+
+- **其他升级：**
+    - **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。**
+    - **PP-OCR 系列模型支持返回单文字坐标。**
+    - 将 `PaddlePredictorOption` 中的 `model_name` 参数移至 `PaddleInfer` 中，改善了用户易用性。
+    - 重构了官方模型下载逻辑，新增了 AIStudio、ModelScope 等多模型托管平台。
+
+
 🔥🔥 **2025.6.28，发布 PaddleX v3.1.0**，新增能力如下：
 
 - **重要模型：**

README_en.md

@@ -37,6 +37,32 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 
 ## 📣 Recent Updates
 
+🔥🔥 **2025.8.19, PaddleX v3.2.0 Released**
+
+- **Deployment Capability Upgrades:**
+    - **Fully supports PaddlePaddle framework versions 3.1.0 and 3.1.1.**
+    - **High-performance inference supports CUDA 12, with backend options including Paddle Inference and ONNX Runtime.**
+    - **High-stability serving solution is fully open-sourced, enabling users to customize Docker images and SDKs as needed.**
+    - High-stability serving solution supports invocation via manually constructed HTTP requests, allowing client applications to be developed in any programming language.
+
+- **Key Model Additions:**
+    - 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%.**
+
+- **Benchmark Enhancements:**
+    - **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.**
+    - **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.**
+
+- **Bug Fixes:**
+    - Fixed an issue where invalid input image file formats could cause recursive calls.
+    - 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.
+    - Fixed an issue where PDF files were not properly closed after inference.
+
+- **Other Updates:**
+    - **Added support for Windows users with NVIDIA 50-series graphics cards; users can install the corresponding PaddlePaddle framework version as per the installation guide.**
+    - **The PP-OCR model series now supports returning coordinates for individual characters.**
+    - The `model_name` parameter in `PaddlePredictorOption` has been moved to `PaddleInfer`, improving usability.
+    - Refactored the official model download logic, with new support for multiple model hosting platforms such as AIStudio and ModelScope.
+
 
 🔥🔥 **2025.6.28, PaddleX v3.1.0 Released**
 

docs/CHANGELOG.en.md

@@ -6,6 +6,32 @@ comments: true
 
 ## Latest Version Information
 
+### PaddleX v3.2.0(8.19/2025)
+
+- **Deployment Capability Upgrades:**
+    - **Fully supports PaddlePaddle framework versions 3.1.0 and 3.1.1.**
+    - **High-performance inference supports CUDA 12, with backend options including Paddle Inference and ONNX Runtime.**
+    - **High-stability serving solution is fully open-sourced, enabling users to customize Docker images and SDKs as needed.**
+    - High-stability serving solution supports invocation via manually constructed HTTP requests, allowing client applications to be developed in any programming language.
+
+- **Key Model Additions:**
+    - 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%.**
+
+- **Benchmark Enhancements:**
+    - **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.**
+    - **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.**
+
+- **Bug Fixes:**
+    - Fixed an issue where invalid input image file formats could cause recursive calls.
+    - 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.
+    - Fixed an issue where PDF files were not properly closed after inference.
+
+- **Other Updates:**
+    - **Added support for Windows users with NVIDIA 50-series graphics cards; users can install the corresponding PaddlePaddle framework version as per the installation guide.**
+    - **The PP-OCR model series now supports returning coordinates for individual characters.**
+    - The `model_name` parameter in `PaddlePredictorOption` has been moved to `PaddleInfer`, improving usability.
+    - Refactored the official model download logic, with new support for multiple model hosting platforms such as AIStudio and ModelScope.
+
 ### PaddleX v3.1.0(6.28/2025)
 
 - **Key Models:**

docs/CHANGELOG.md

@@ -6,6 +6,32 @@ comments: true
 
 ## 最新版本信息
 
+### PaddleX v3.2.0(8.19/2025)
+
+- **部署能力升级：**
+    - **全面支持飞桨框架 3.1.0 和 3.1.1 版本。**
+    - **高性能推理支持 CUDA 12，可使用 Paddle Inference、ONNX Runtime 后端推理。**
+    - **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。**
+    - 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。
+
+- **重要模型新增：**
+    - 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%。**
+
+- **Benchmark升级：**
+    - **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。**
+    - **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。**
+
+- **Bug修复：**
+    - 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。
+    - 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。
+    - 修复 PDF 文件在推理结束后未正确关闭的问题。
+
+- **其他升级：**
+    - **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。**
+    - **PP-OCR 系列模型支持返回单文字坐标。**
+    - 将 `PaddlePredictorOption` 中的 `model_name` 参数移至 `PaddleInfer` 中，改善了用户易用性。
+    - 重构了官方模型下载逻辑，新增了 AIStudio、ModelScope 等多模型托管平台。
+
 ### PaddleX v3.1.0(6.28/2025)
 
 - **重要模型：**