update docs (#3700)

README.md

@@ -41,21 +41,21 @@ 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
 
-🔥🔥 **2025.2.14**，PaddleX v3.0.0rc0 重磅升级。本次版本全面适配 PaddlePaddle 3.0rc0，核心升级如下：
+🔥🔥 **2025.2.14，PaddleX v3.0.0rc0 重磅升级。** 本次版本全面适配 PaddlePaddle 3.0rc0及以上版本，核心升级如下：
 
-- 新增 12 条高价值产线，重磅推出自研 **[通用版面解析v3产线](docs/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.md)**、**[PP-ChatOCRv4-doc产线](docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.md)**、**[表格识别v2产线](docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.md)**。此外新增了文档处理、旋转框检测、开放词汇检测/分割、视频分析、多语种语音识别、3D 等场景的产线。
+- **新增 12 条高价值产线，重磅推出自研 [通用版面解析v3产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html)、[PP-ChatOCRv4-doc产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.html)、[表格识别v2产线](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)**。此外新增了文档处理、旋转框检测、开放词汇检测/分割、视频分析、多语种语音识别、3D 等场景的产线。
 
-- 扩充 48 个前沿模型，包括重磅推出的 OCR 领域的**版面区域检测模型 [PP-DocLayout](docs/module_usage/tutorials/ocr_modules/layout_detection.md)**、**公式识别模型 [PP-FormulaNet](docs/module_usage/tutorials/ocr_modules/formula_recognition.md)**，**表格结构识别模型 [SLANeXt](docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md)**，**文本识别模型 [PP-OCRv4_server_rec_doc](docs/module_usage/tutorials/ocr_modules/text_recognition.md)**。CV 领域的 3D 检测、人体关键点、开放词汇检测/分割模型，以及语音识别领域的 Whisper 系列等模型。
+- **扩充 48 个前沿模型，包括重磅推出的 OCR 领域的版面区域检测模型 [PP-DocLayout](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/layout_detection.html)、公式识别模型 [PP-FormulaNet](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/formula_recognition.html)，表格结构识别模型 [SLANeXt](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/table_structure_recognition.html)，文本识别模型 [PP-OCRv4_server_rec_doc](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/text_recognition.html)**。CV 领域的 3D 检测、人体关键点、开放词汇检测/分割模型，以及语音识别领域的 Whisper 系列等模型。
 
-- 优化和升级模型和产线的推理 API，支持更多参数的配置，提升模型和产线推理的灵活性，[详情](docs/API_change_log/v3.0.0rc.md)。
+- **优化和升级模型和产线的推理 API：** 支持更多参数的配置，提升模型和产线推理的灵活性，[详情](docs/API_change_log/v3.0.0rc.md)。
 
-- 多硬件支持扩展：新增燧原 GCU 支持（90+模型），昇腾 NPU/昆仑芯 XPU/寒武纪 MLU/海光 DCU 模型数量显著提升。
+- **多硬件支持扩展：** 新增燧原 GCU 支持（90+模型），昇腾 NPU/昆仑芯 XPU/寒武纪 MLU/海光 DCU 模型数量显著提升。
 
-- 全场景部署能力升级：
-  - 高性能推理支持一键安装、Windows 系统及 220+ 模型，核心库 ultra-infer 开源；
-  - 服务化部署新增高稳定性方案，支持动态配置优化。
+- **全场景部署能力升级：**
+  - **高性能推理支持一键安装、Windows 系统及 220+ 模型，核心库 ultra-infer 开源；**
+  - **服务化部署新增高稳定性方案，支持动态配置优化。**
 
-- 系统兼容性增强：适配 Windows 训练/推理，全面支持 Python 3.11/3.12。
+- **系统兼容性增强：** 适配 Windows 训练/推理，全面支持 Python 3.11/3.12。
 
 🔥 **2024.11.15**，PaddleX 3.0 Beta2 开源版正式发布，全面适配 PaddlePaddle 3.0b2 版本。**新增通用图像识别、人脸识别、车辆属性识别和行人属性识别产线，同时新增 42 个模型开发全流程适配昇腾 910B，并全面支持[GitHub 站点文档](https://paddlepaddle.github.io/PaddleX/latest/index.html)。**
 
@@ -332,7 +332,7 @@ PaddleX的各个产线均支持本地**快速推理**，部分模型支持在[AI
         <td>🚧</td>
     </tr>
     <tr>
-        <td><a href="https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html">通用版面解析v2</a></td>
+        <td><a href="https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html">通用版面解析v3</a></td>
         <td>🚧</td>
         <td>✅</td>
         <td>🚧</td>
@@ -535,7 +535,7 @@ PaddleX的各个产线均支持本地**快速推理**，部分模型支持在[AI
 
 ### 🛠️ 安装
 
-> ❗在安装 PaddleX 之前，请确保您已具备基本的 **Python 运行环境**（注：目前支持 Python 3.8 至 Python 3.12）。PaddleX 3.0-rc0 版本依赖的 PaddlePaddle 版本为 3.0.0rc0。
+> ❗在安装 PaddleX 之前，请确保您已具备基本的 **Python 运行环境**（注：目前支持 Python 3.8 至 Python 3.12）。PaddleX 3.0-rc0 版本依赖的 PaddlePaddle 版本为 3.0.0rc0及以上版本，请在使用前务必保证版本的对应关系。
 
 * **安装 PaddlePaddle**
 ```bash
@@ -627,7 +627,7 @@ paddlex --pipeline OCR \
 | 通用表格识别       | `paddlex --pipeline table_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/table_recognition.jpg --save_path ./output --device gpu:0`                                      |
 | 通用表格识别v2       | `paddlex --pipeline table_recognition_v2 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/table_recognition.jpg --save_path ./output --device gpu:0`                                      |
 | 通用版面解析       | `paddlex --pipeline layout_parsing --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/demo_paper.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                                      |
-| 通用版面解析v2       | `paddlex --pipeline layout_parsing_v2 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/layout_parsing_v2_demo.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                                      |
+| 通用版面解析v3       | `paddlex --pipeline PP-StructureV3 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                                      |
 | 公式识别       | `paddlex --pipeline formula_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/demo_image/general_formula_recognition.png --use_layout_detection True --use_doc_orientation_classify False --use_doc_unwarping False --layout_threshold 0.5 --layout_nms True --layout_unclip_ratio  1.0 --layout_merge_bboxes_mode large --save_path ./output --device gpu:0`                                      |
 | 印章文本识别       | `paddlex --pipeline seal_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/seal_text_det.png --use_doc_orientation_classify False --use_doc_unwarping False --device gpu:0 --save_path ./output`                                      |
 | 时序预测       | `paddlex --pipeline ts_forecast --input https://paddle-model-ecology.bj.bcebos.com/paddlex/ts/demo_ts/ts_fc.csv --device gpu:0 --save_path ./output`                                                                   |
@@ -688,7 +688,7 @@ for res in output:
 | 通用表格识别       | `table_recognition`                | [通用表格识别产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition.html#22-python脚本方式集成)                                   |
 | 通用表格识别v2      | `table_recognition_v2`                | [通用表格识别v2产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html#22-python脚本方式集成)                                   |
 | 通用版面解析       | `layout_parsing`                | [通用版面解析产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.html#22-python脚本方式集成)                                   |
-| 通用版面解析v2      | `layout_parsing_v2`                | [通用版面解析v2产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html#22-python脚本方式集成)                                   |
+| 通用版面解析v3      | `PP-StructureV3`                | [通用版面解析v3产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html#22-python脚本方式集成)                                   |
 | 公式识别       | `formula_recognition`                | [公式识别产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.html#22-python脚本方式集成)                                   |
 | 印章文本识别       | `seal_recognition`                | [印章文本识别产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.html#22-python脚本方式集成)                                   |
 | 时序预测       | `ts_forecast`                            | [时序预测产线Python脚本使用说明](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.html#222-python脚本方式集成)                    |
@@ -729,7 +729,7 @@ for res in output:
   * [📊 通用表格识别产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition.html )
   * [🗂️ 通用表格识别v2产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)
   * [📰 通用版面解析产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.html)
-  * [🗞️ 通用版面解析产线v2使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html)
+  * [🗞️ 通用版面解析产线v3使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html)
   * [📐 公式识别产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.html)
   * [🖋️ 印章文本识别产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.html)
   * [🖌️ 文档图像预处理产线使用教程](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/doc_preprocessor.html)

README_en.md

@@ -44,11 +44,11 @@ PaddleX 3.0 is a low-code development tool for AI models built on the PaddlePadd
 
 ## 📣 Recent Updates
 
-🔥🔥 **2025.2.14**, PaddleX v3.0.0rc0 major upgrade. This version fully adapts to PaddlePaddle 3.0rc0, with the following core upgrades:
+🔥🔥 **2025.2.14, PaddleX v3.0.0rc0 major upgrade.** This version fully adapts to PaddlePaddle 3.0.0rc and above, with the following core upgrades:
 
-- **Added 12 high-value pipelines**, launching self-developed **[Layout Parsing v2 Pipeline](docs/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.en.md)**, **[PP-ChatOCRv4-doc Pipeline](docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.en.md)**, **[Table Recognition v2 Pipeline](docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.en.md)**. Additionally, new pipelines for document processing, rotated box detection, open vocabulary detection/segmentation, video analysis, multilingual speech recognition, 3D, and other scenarios have been added.
+- **Added 12 high-value pipelines, launching self-developed [PP-StructureV3 Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html), [PP-ChatOCRv4-doc Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction_v4.html), [Table Recognition v2 Pipeline](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)**. Additionally, new pipelines for document processing, rotated box detection, open vocabulary detection/segmentation, video analysis, multilingual speech recognition, 3D, and other scenarios have been added.
 
-- **Expanded 48 cutting-edge models**, including the major releases in the OCR field such as **Document Layout Detection Model [PP-DocLayout](docs/module_usage/tutorials/ocr_modules/layout_detection.en.md)**, **Formula Recognition Model [PP-FormulaNet](docs/module_usage/tutorials/ocr_modules/formula_recognition.en.md)**, **Table Structure Recognition Model [SLANeXt](docs/module_usage/tutorials/ocr_modules/table_structure_recognition.en.md)**, **Text Recognition Model [PP-OCRv4_server_rec_doc](docs/module_usage/tutorials/ocr_modules/text_recognition.en.md)**. In the CV field, models for 3D detection, human keypoints, open vocabulary detection/segmentation, and in the speech recognition field, models from the Whisper series, among others.
+- **Expanded 48 cutting-edge models, including the major releases in the OCR field such as Document Layout Detection Model [PP-DocLayout](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/layout_detection.html), Formula Recognition Model [PP-FormulaNet](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/formula_recognition.html), Table Structure Recognition Model [SLANeXt](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/table_structure_recognition.html), text Recognition Model [PP-OCRv4_server_rec_doc](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/text_recognition.html)**. In the CV field, models for 3D detection, human keypoints, open vocabulary detection/segmentation, and in the speech recognition field, models from the Whisper series, among others.
 
 - **Optimized and upgraded the inference APIs for models and pipelines**, supporting more parameter configurations to enhance the flexibility of model and pipeline inference. [Details](docs/API_change_log/v3.0.0rc.en.md).
 
@@ -330,7 +330,7 @@ In addition, PaddleX provides developers with a full-process efficient model tra
         <td>🚧</td>
     </tr>
     <tr>
-        <td><a href="https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html">Layout Parsing v2</a></td>
+        <td><a href="https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html">PP-StructureV3</a></td>
         <td>🚧</td>
         <td>✅</td>
         <td>🚧</td>
@@ -533,7 +533,7 @@ In addition, PaddleX provides developers with a full-process efficient model tra
 
 ### 🛠️ Installation
 
-> ❗Before installing PaddleX, please ensure you have a basic **Python runtime environment** (Note: Currently supports running under Python 3.8 to Python 3.12, with more Python versions under adaptation). The PaddlePaddle version required by PaddleX
+> ❗Before installing PaddleX, please ensure that you have a basic **Python runtime environment** (Note: Currently supports Python 3.8 to Python 3.12). The PaddleX 3.0-rc0 version depends on PaddlePaddle version 3.0.0rc0 and above. Please make sure the version compatibility is maintained before use.
 
 * **Installing PaddlePaddle**
 
@@ -626,7 +626,7 @@ To use the command line for other pipelines, simply adjust the `pipeline` parame
 | General Table Recognition        | `paddlex --pipeline table_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/table_recognition.jpg --save_path ./output --device gpu:0`                                      |
 | General Table Recognition v2     | `paddlex --pipeline table_recognition_v2 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/table_recognition.jpg --save_path ./output --device gpu:0`                                      |
 | General Layout Parsing           | `paddlex --pipeline layout_parsing --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/demo_paper.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                      |
-| General Layout Parsing v2        | `paddlex --pipeline layout_parsing_v2 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/layout_parsing_v2_demo.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                      |
+| General Layout Parsing v2        | `paddlex --pipeline PP-StrucutrV3 --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png --use_doc_orientation_classify False --use_doc_unwarping False --use_textline_orientation False --save_path ./output --device gpu:0`                      |
 | Formula Recognition              | `paddlex --pipeline formula_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/demo_image/general_formula_recognition.png --use_layout_detection True --use_doc_orientation_classify False --use_doc_unwarping False --layout_threshold 0.5 --layout_nms True --layout_unclip_ratio  1.0 --layout_merge_bboxes_mode large --save_path ./output --device gpu:0`                                      |
 | Seal Text Recognition            | `paddlex --pipeline seal_recognition --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/seal_text_det.png --use_doc_orientation_classify False --use_doc_unwarping False --device gpu:0 --save_path ./output`                                      |
 | Time Series Forecasting       | `paddlex --pipeline ts_forecast --input https://paddle-model-ecology.bj.bcebos.com/paddlex/ts/demo_ts/ts_fc.csv --device gpu:0 --save_path ./output`                                                                   |
@@ -677,25 +677,25 @@ To use the Python script for other pipelines, simply adjust the `pipeline` param
 | Face Recognition       | `face_recognition`                | [Face Recognition Pipeline Python Script Usage Instructions](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/face_recognition.html)                              |
 | Pedestrian Attribute Recognition       | `pedestrian_attribute`                | [Pedestrian Attribute Recognition Pipeline Python Script Usage Instructions](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.html)                              |
 |Vehicle Attribute Recognition       | `vehicle_attribute`                | [Vehicle Attribute Recognition Pipeline Python Script Usage Instructions](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.html)                              |
-| 3D Multi-modal Fusion Detection | `3d_bev_detection` | [Instructions for Using the 3D Multi-modal Fusion Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/cv_pipelines/3d_bev_detection.html#222-python-script-integration) |
-| Human Keypoint Detection | `human_keypoint_detection` | [Instructions for Using the Human Keypoint Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/cv_pipelines/human_keypoint_detection.html#222-python-script-integration) |
-| Open Vocabulary Detection | `open_vocabulary_detection` | [Instructions for Using the Open Vocabulary Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_detection.html#212-python-script-integration) |
-| Open Vocabulary Segmentation | `open_vocabulary_segmentation` | [Instructions for Using the Open Vocabulary Segmentation Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_segmentation.html#212-python-script-integration) |
-| Rotated Object Detection | `rotated_object_detection` | [Instructions for Using the Rotated Object Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/cv_pipelines/rotated_object_detection.html#212-python-script-integration) |
-| OCR | `OCR` | [Instructions for Using the General OCR Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/OCR.html#222-python-script-integration) |
-| Document Image Preprocessing | `doc_preprocessor` | [Instructions for Using the Document Image Preprocessing Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/doc_preprocessor.html#212-python-script-integration) |
-| General Table Recognition | `table_recognition` | [Instructions for Using the General Table Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition.html#22-python-script-integration) |
-| General Table Recognition v2 | `table_recognition_v2` | [Instructions for Using the General Table Recognition v2 Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html#22-python-script-integration) |
-| General Layout Parsing | `layout_parsing` | [Instructions for Using the General Layout Parsing Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.html#22-python-script-integration) |
-| General Layout Parsing v2 | `layout_parsing_v2` | [Instructions for Using the General Layout Parsing v2 Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html#22-python-script-integration) |
-| Formula Recognition | `formula_recognition` | [Instructions for Using the Formula Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.html#22-python-script-integration) |
-| Seal Text Recognition | `seal_recognition` | [Instructions for Using the Seal Text Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.html#22-python-script-integration) |
-| Time Series Forecasting | `ts_forecast` | [Instructions for Using the Time Series Forecasting Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.html#222-python-script-integration) |
-| Time Series Anomaly Detection | `ts_anomaly_detection` | [Instructions for Using the Time Series Anomaly Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.html#222-python-script-integration) |
-| Time Series Classification | `ts_classification` | [Instructions for Using the Time Series Classification Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.html#222-python-script-integration) |
-| Multilingual Speech Recognition | `multilingual_speech_recognition` | [Instructions for Using the Multilingual Speech Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/multilingual_speech_recognition.html#212-python-script-integration) |
-| General Video Classification | `video_classification` | [Instructions for Using the General Video Classification Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/video_classification.html#22-python-script-integration) |
-| General Video Detection | `video_detection` | [Instructions for Using the General Video Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/time_series_pipelines/video_detection.html#212-python-script-integration) |
+| 3D Multi-modal Fusion Detection | `3d_bev_detection` | [Instructions for Using the 3D Multi-modal Fusion Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/3d_bev_detection.html#222-python-script-integration) |
+| Human Keypoint Detection | `human_keypoint_detection` | [Instructions for Using the Human Keypoint Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/human_keypoint_detection.html#222-python-script-integration) |
+| Open Vocabulary Detection | `open_vocabulary_detection` | [Instructions for Using the Open Vocabulary Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_detection.html#212-python-script-integration) |
+| Open Vocabulary Segmentation | `open_vocabulary_segmentation` | [Instructions for Using the Open Vocabulary Segmentation Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_segmentation.html#212-python-script-integration) |
+| Rotated Object Detection | `rotated_object_detection` | [Instructions for Using the Rotated Object Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/cv_pipelines/rotated_object_detection.html#212-python-script-integration) |
+| OCR | `OCR` | [Instructions for Using the General OCR Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/OCR.html#222-python-script-integration) |
+| Document Image Preprocessing | `doc_preprocessor` | [Instructions for Using the Document Image Preprocessing Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/doc_preprocessor.html#212-python-script-integration) |
+| General Table Recognition | `table_recognition` | [Instructions for Using the General Table Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition.html#22-python-script-integration) |
+| General Table Recognition v2 | `table_recognition_v2` | [Instructions for Using the General Table Recognition v2 Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html#22-python-script-integration) |
+| General Layout Parsing | `layout_parsing` | [Instructions for Using the General Layout Parsing Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.html#22-python-script-integration) |
+| PP-StructureV3 | `PP-StructureV3` | [Instructions for Using the General Layout Parsing v2 Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html#22-python-script-integration) |
+| Formula Recognition | `formula_recognition` | [Instructions for Using the Formula Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.html#22-python-script-integration) |
+| Seal Text Recognition | `seal_recognition` | [Instructions for Using the Seal Text Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.html#22-python-script-integration) |
+| Time Series Forecasting | `ts_forecast` | [Instructions for Using the Time Series Forecasting Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.html#222-python-script-integration) |
+| Time Series Anomaly Detection | `ts_anomaly_detection` | [Instructions for Using the Time Series Anomaly Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.html#222-python-script-integration) |
+| Time Series Classification | `ts_classification` | [Instructions for Using the Time Series Classification Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.html#222-python-script-integration) |
+| Multilingual Speech Recognition | `multilingual_speech_recognition` | [Instructions for Using the Multilingual Speech Recognition Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/multilingual_speech_recognition.html#212-python-script-integration) |
+| General Video Classification | `video_classification` | [Instructions for Using the General Video Classification Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/video_classification.html#22-python-script-integration) |
+| General Video Detection | `video_detection` | [Instructions for Using the General Video Detection Pipeline Python Script](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/time_series_pipelines/video_detection.html#212-python-script-integration) |
 </details>
 
 ## 📖 Documentation
@@ -725,7 +725,7 @@ To use the Python script for other pipelines, simply adjust the `pipeline` param
     * [📊 Table Recognition Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition.html)
     * [🗂️ Table Recognition v2 Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.html)
     * [📄 Layout Parsing Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.html)
-    * [🗞️ Layout Parsing v2 Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/layout_parsing_v2.html)
+    * [🗞️ PP-StructureV3 Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.html)
     * [📐 Formula Recognition Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.html)
     * [📝 Seal Recognition Pipeline Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.html)
     * [🖌️ Document Image Preprocessing](https://paddlepaddle.github.io/PaddleX/latest/en/pipeline_usage/tutorials/ocr_pipelines/doc_preprocessor.html)
@@ -880,7 +880,7 @@ To use the Python script for other pipelines, simply adjust the `pipeline` param
 * <details open>
   <summary> <b> 🎥 Video Recognition </b></summary>
 
-  * [📈 Video Classification Module Usage Tutorial](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/video_modules/video_classification.html)
+  * [📈 Video Classification Module Usage Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/video_modules/video_classification.html)
   * [🔍 Video Detection Module Usage Tutorial](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/video_modules/video_detection.html)
 
 * <details open>

docs/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.md

@@ -4,8 +4,8 @@ comments: true
 
 # 通用版面解析v3产线使用教程
 
-## 1. 通用版面解析v3产线介绍
-版面解析是一种从文档图像中提取结构化信息的技术，主要用于将复杂的文档版面转换为机器可读的数据格式。这项技术在文档管理、信息提取和数据数字化等领域具有广泛的应用。版面解析通过结合光学字符识别（OCR）、图像处理和机器学习算法，能够识别和提取文档中的文本块、标题、段落、图片、表格以及其他版面元素。此过程通常包括版面分析、元素分析和数据格式化三个主要步骤，最终生成结构化的文档数据，提升数据处理的效率和准确性。<b>通用版面解析v3（PP-StructureV3）产线在通用版面解析v1产线的基础上，强化了版面区域检测、表格识别、公式识别的能力，增加了多栏阅读顺序的恢复能力、结果转换 Markdown 文件的能力，在多种文档数据中，表现优异，可以处理较复杂的文档数据。</b>本产线同时提供了灵活的服务化部署方式，支持在多种硬件上使用多种编程语言调用。不仅如此，本产线也提供了二次开发的能力，您可以基于本产线在您自己的数据集上训练调优，训练后的模型也可以无缝集成。
+## 1. 通用版面解析v3(PP-StructureV3)产线介绍
+版面解析是一种从文档图像中提取结构化信息的技术，主要用于将复杂的文档版面转换为机器可读的数据格式。这项技术在文档管理、信息提取和数据数字化等领域具有广泛的应用。版面解析通过结合光学字符识别（OCR）、图像处理和机器学习算法，能够识别和提取文档中的文本块、标题、段落、图片、表格以及其他版面元素。此过程通常包括版面分析、元素分析和数据格式化三个主要步骤，最终生成结构化的文档数据，提升数据处理的效率和准确性。<b>通用版面解析v3产线在通用版面解析v1产线的基础上，强化了版面区域检测、表格识别、公式识别的能力，增加了多栏阅读顺序的恢复能力、结果转换 Markdown 文件的能力，在多种文档数据中，表现优异，可以处理较复杂的文档数据。</b>本产线同时提供了灵活的服务化部署方式，支持在多种硬件上使用多种编程语言调用。不仅如此，本产线也提供了二次开发的能力，您可以基于本产线在您自己的数据集上训练调优，训练后的模型也可以无缝集成。
 
 <b>通用版面解析v3产线中包含必选的版面区域分析模块、通用OCR子产线，</b>以及可选的文档图像预处理子产线、表格识别子产线、印章识别子产线和公式识别子产线。
 
@@ -638,7 +638,7 @@ paddlex --pipeline PP-StructureV3 \
 <b>注：</b>由于产线的默认模型较大，推理速度可能较慢，您可以参考第一节的模型列表，替换推理速度更快的模型。
 
 ### 2.2 Python脚本方式集成
-几行代码即可完成产线的快速推理，以通用版面解析v3产线为例：
+几行代码即可完成产线的快速推理：
 
 ```python
 from paddlex import create_pipeline
@@ -700,11 +700,11 @@ for item in markdown_images:
 
 **注：**
 
-（1）PP-StructureV3 产线使用的默认文本识别模型为**中英文识别模型**，对于全英文场景，您可以将 [PP-StructureV3 配置文件](../../../../paddlex/configs/pipelines/PP-StructureV3.yaml)中 `TextRecognition` 配置项下的 `model_name` 修改为 `en_PP-OCRv4_mobile_rec` 英文识别模型以取得更好的识别效果。对应其他语言场景，也可以参考前文的模型列表，选择对应的语言识别模型进行替换。
+- PP-StructureV3 产线使用的默认文本识别模型为 **中英文识别模型**，对于纯英文的识别能力有限，对于全英文场景，您可以将 [PP-StructureV3 配置文件](https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-rc/paddlex/configs/pipelines/PP-StructureV3.yaml)中 `TextRecognition` 配置项下的 `model_name` 修改为 `en_PP-OCRv4_mobile_rec` 等英文识别模型以取得更好的识别效果。对应其他语言场景，也可以参考前文的模型列表，选择对应的语言识别模型进行替换。
 
-（2）在示例代码中，`use_doc_orientation_classify`、`use_doc_unwarping`、`use_textline_orientation` 参数默认均设置为 False，分别表示关闭文档方向分类、文档扭曲矫正、文本行方向分类功能，如果需要使用这些功能，可以手动设置为 True。
+- 在示例代码中，`use_doc_orientation_classify`、`use_doc_unwarping`、`use_textline_orientation` 参数默认均设置为 `False`，分别表示关闭文档方向分类、文档扭曲矫正、文本行方向分类功能，如果需要使用这些功能，可以手动设置为 `True`。
 
-（3）PP-StructureV3 产线提供了灵活的参数配置，可以在使用过程中针对文档的特点灵活的调整版面检测、文本检测、文本识别等模块的参数，以获得更好的效果，更多详细配置可以参考[PP-StructureV3 配置文件](../../../../paddlex/configs/pipelines/PP-StructureV3.yaml)。
+- PP-StructureV3 产线提供了灵活的参数配置，可以在使用过程中针对文档的特点灵活的调整版面检测、文本检测、文本识别等模块的参数，以获得更好的效果，更多详细配置可以参考[PP-StructureV3 配置文件](https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-rc/paddlex/configs/pipelines/PP-StructureV3.yaml)。
 
 在上述 Python 脚本中，执行了如下几个步骤：
 <details><summary>（1）实例化 <code>create_pipeline</code> 实例化产线对象，具体参数说明如下：</summary>

mkdocs.yml

@@ -103,7 +103,7 @@ plugins:
             通用表格识别产线: General Table Recognition
             通用表格识别v2产线: General Table Recognition V2
             通用版面解析产线: General Layout Parsing
-            通用版面解析v2产线: General Layout Parsing V2
+            通用版面解析v3产线: PP-StructureV3
             公式识别产线: Formula Recognition
             印章文本识别产线: Seal Recognition
             文档图像预处理产线: Document Image Preprocessing
@@ -131,7 +131,7 @@ plugins:
             文本检测模块: Text Detection
             印章文本检测模块: Seal Detection
             文本识别模块: Text Recognition
-            版面区域检测模块: Layout Parsing
+            版面区域检测模块: Layout Detection
             表格结构识别模块: Table Structure Recognition
             表格单元格检测模块: Table Cell Detection
             表格分类模块: Table Classification
@@ -330,7 +330,7 @@ nav:
          - 通用OCR产线: pipeline_usage/tutorials/ocr_pipelines/OCR.md
          - 通用表格识别产线: pipeline_usage/tutorials/ocr_pipelines/table_recognition.md
          - 通用表格识别v2产线: pipeline_usage/tutorials/ocr_pipelines/table_recognition_v2.md
-         - 通用版面解析产线: pipeline_usage/tutorials/ocr_pipelines/layout_parsing_.md
+         - 通用版面解析产线: pipeline_usage/tutorials/ocr_pipelines/layout_parsing.md
          - 通用版面解析v3产线: pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.md
          - 公式识别产线: pipeline_usage/tutorials/ocr_pipelines/formula_recognition.md
          - 印章文本识别产线: pipeline_usage/tutorials/ocr_pipelines/seal_recognition.md
@@ -452,16 +452,23 @@ nav:
        - PaddleX模型列表(XPU): support_list/model_list_xpu.md
        - PaddleX模型列表(GCU): support_list/model_list_gcu.md
   - 产业实践教程&范例:
-       - 论文文献信息抽取教程: practical_tutorials/document_scene_information_extraction(layout_detection)_tutorial.md
-       - 垃圾分类教程: practical_tutorials/image_classification_garbage_tutorial.md
-       - 遥感图像实例分割教程: practical_tutorials/instance_segmentation_remote_sensing_tutorial.md
-       - 行人跌倒检测教程: practical_tutorials/object_detection_fall_tutorial.md
-       - 服装时尚元素检测教程: practical_tutorials/object_detection_fashion_pedia_tutorial.md
-       - 车牌识别教程: practical_tutorials/ocr_det_license_tutorial.md
-       - 手写中文识别教程: practical_tutorials/ocr_rec_chinese_tutorial.md
-       - 车道线分割教程: practical_tutorials/semantic_segmentation_road_tutorial.md
-       - 设备异常检测应用教程: practical_tutorials/ts_anomaly_detection.md
-       - 心跳监测时序数据分类应用教程: practical_tutorials/ts_classification.md
-       - 用电量长期预测应用教程: practical_tutorials/ts_forecast.md
+       - 文档场景信息抽取实践教程-如何微调版面区域检测: practical_tutorials/document_scene_information_extraction(layout_detection)_tutorial.md
+       - 文档场景信息抽取实践教程-如何微调印章文本检测: practical_tutorials/document_scene_information_extraction(seal_recognition)_tutorial.md
+       - 文档场景信息抽取实践教程-如何使用deepseek: practical_tutorials/document_scene_information_extraction(deepseek)_tutorial.md
+       - OCR识别之车牌文本检测实践教程: practical_tutorials/ocr_det_license_tutorial.md
+       - OCR识别之手写中文识别实践教程: practical_tutorials/ocr_rec_chinese_tutorial.md
+       - 公式识别实践教程: practical_tutorials/formula_recognition_tutorial.md
+       - 版面区域检测模型使用实践教程: practical_tutorials/layout_detection.md
+       - 人脸识别之卡通人脸识别实践教程: practical_tutorials/face_recognition_tutorial.md
+       - 垃圾分类实践教程: practical_tutorials/image_classification_garbage_tutorial.md
+       - 遥感图像实例分割实践教程: practical_tutorials/instance_segmentation_remote_sensing_tutorial.md
+       - 行人跌倒检测实践教程: practical_tutorials/object_detection_fall_tutorial.md
+       - 服装时尚元素检测实践教程: practical_tutorials/object_detection_fashion_pedia_tutorial.md
+       - 车牌识别实践教程: practical_tutorials/ocr_det_license_tutorial.md
+       - 车道线分割实践教程: practical_tutorials/semantic_segmentation_road_tutorial.md
+       - 设备异常检测应用实践教程: practical_tutorials/ts_anomaly_detection.md
+       - 心跳监测时序数据分类应用实践教程: practical_tutorials/ts_classification.md
+       - 用电量长期预测应用实践教程: practical_tutorials/ts_forecast.md
+       - 产线部署实践教程: practical_tutorials/deployment_tutorial.md
   - FAQ: FAQ.md
   - 近期更新: CHANGLOG.md