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405 lines
17 KiB
YAML
405 lines
17 KiB
YAML
site_name: PaddleOCR 文档
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site_url: https://paddlepaddle.github.io/PaddleOCR/
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site_author: PaddleOCR PMC
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site_description:
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Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
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repo_name: PaddlePaddle/PaddleOCR
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repo_url: https://github.com/PaddlePaddle/PaddleOCR
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copyright: Copyright © 2024 Maintained by PaddleOCR PMC.
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- navigation.tabs # 顶级索引被作为tab
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separator: '[\s\u200b\-_,:!=\[\: )"`/]+|\.(?!\d)|&[lg]t;|(?!\b)(?=[A-Z][a-z])'
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- i18n:
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docs_structure: suffix
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reconfigure_material: true
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reconfigure_search: true
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languages:
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name: 简体中文
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default: true
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build: true
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- locale: en
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name: English
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site_name: PaddleOCR Documentation
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link: /en/
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nav_translations:
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Home: Home
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快速开始: Quick Start
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近期更新: Recently Update
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模型: Model
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概述: Overview
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PP-OCR 文本检测识别: PP-OCR
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概述: Overview
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快速开始: Quick Start
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快速安装: Quick Installation
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效果展示: Visualization
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运行环境: Environment Preparation
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模型库: Model
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模型训练: Model Training
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基本概念: Basic concepts
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文本检测: Text Detection
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文本识别: Text Recognition
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文本方向分类器: Text Angle Classification
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关键信息提取: Key Information Extraction
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模型微调: Fine-tune
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模型压缩: Model Compression
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模型量化: Model Quantization
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模型裁剪: Model Prune
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知识蒸馏: Knowledge Distillation
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推理部署: Model Deploy
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概述: Overview
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基于Python预测引擎推理: Python Inference
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基于C++预测引擎推理: CPP Inference
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Visual Studio 2019 Community CMake 编译指南: Visual Studio 2019 Community CMake Compilation Guide
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服务化部署: Sever Deployment
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Jetson部署: Jetson Deployment
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端侧部署: Device-side Deployment
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网页前端部署: Paddle.js Web Deployment
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Paddle2ONNX模型转化与预测: Paddle2ONNX
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云上飞桨部署工具: Paddle Cloud
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Benchmark: Benchmark
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博客: Blog
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paddleocr package使用说明: Paddleocr Package Instructions
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多语言模型: Multi-language model
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动手学OCR: Dive into OCR
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切片操作: Slice
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PaddleOCR模型推理参数解释: PaddleOCR Model Inference Parameter Explanation
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分布式训练: Distributed training
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项目克隆: Project Clone
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配置文件内容与生成: Configuration
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如何生产自定义超轻量模型？: How To Make Your own lightweight OCR model?
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PP-Structure文档分析: PP-Structure
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概述: Overview
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快速开始: Quick Start
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模型库: Model
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模型训练: Model Training
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基本概念: Basic concepts
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版面分析: Layout Analysis
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版面恢复: Recovery To Doc
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表格识别: Table Recognition
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关键信息提取: Key Information Extraction
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推理部署: Deploy
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概述: Overview
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基于Python预测引擎推理: Python Inference
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基于C++预测引擎推理: CPP Inference
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服务化部署: Sever Deployment
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博客: Blog
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返回识别位置: Return Recognition Location
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怎样完成基于图像数据的信息抽取任务: Key Information Extraction Pipeline
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前沿算法与模型: Academic Algorithms
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概述: algorithm/overview.md
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文本检测算法: Text Detection Algorithms
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DB与DB++: DB and DB++
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文本识别算法: Text Recognition Algorithms
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文本超分辨率算法: Text Super-Resolution Algorithm
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公式识别算法: Formulat Recognition
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端到端OCR算法: End-to-End OCR Algorithms
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表格识别算法: Table Recognition Algorithms
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关键信息抽取算法: Key Information Extraction Algorithms
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使用PaddleOCR架构添加新算法: Add new algorithms
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场景应用: Applications
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数据标注与合成: Data Annotation and Synthesis
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概述: Overview
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其它数据标注工具: Other data annotation tools
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其它数据合成工具: Others data synthesis tools
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数据集: Datasets
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通用中英文OCR数据集: General Chinese and English OCR dataset
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手写中文OCR数据集: Handwritten Chinese OCR Dataset
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垂类多语言OCR数据集: Vertical multi-language OCR dataset
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版面分析数据集: Layout Analysis Dataset
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表格识别数据集: Table recognition dataset
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关键信息提取数据集: Key Information Extraction Dataset
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FAQ: FAQ
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社区: Community
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社区贡献: Community Contribution
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附录: Appendix
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- locale: "null"
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name: Help translating
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build: false
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fixed_link: "https://github.com/PaddlePaddle/PaddleOCR/discussions/13374"
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- git-committers:
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repository: PaddlePaddle/PaddleOCR
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branch: main
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token: !!python/object/apply:os.getenv ["MKDOCS_GIT_COMMITTERS_APIKEY"]
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link: https://github.com/PaddlePaddle/PaddleOCR
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link: https://pypi.org/project/paddleocr/
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extra_css:
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nav:
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- Home: index.md
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- 快速开始: quick_start.md
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- 近期更新: update.md
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- 模型:
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- 概览: model/index.md
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- 多硬件安装飞桨:
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- 多硬件安装飞桨: model/hardware/install_other_devices.md
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- 支持硬件列表: model/hardware/supported_models.md
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- PP-OCR 文本检测识别:
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- 概述: ppocr/overview.md
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- 快速开始: ppocr/quick_start.md
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- 快速安装: ppocr/installation.md
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- 效果展示: ppocr/visualization.md
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- 运行环境: ppocr/environment.md
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- 模型库: ppocr/model_list.md
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- 模型训练:
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- 基本概念: ppocr/model_train/training.md
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- 文本检测: ppocr/model_train/detection.md
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- 文本识别: ppocr/model_train/recognition.md
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- 文本方向分类器: ppocr/model_train/angle_class.md
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- 关键信息提取: ppocr/model_train/kie.md
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- 模型微调: ppocr/model_train/finetune.md
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- 模型压缩:
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- 模型量化: ppocr/model_compress/quantization.md
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- 模型裁剪: ppocr/model_compress/prune.md
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- 知识蒸馏: ppocr/model_compress/knowledge_distillation.md
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- 推理部署:
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- 概述: ppocr/infer_deploy/index.md
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- 基于Python预测引擎推理: ppocr/infer_deploy/python_infer.md
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- 基于C++预测引擎推理: ppocr/infer_deploy/cpp_infer.md
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- Visual Studio 2019 Community CMake 编译指南: ppocr/infer_deploy/windows_vs2019_build.md
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- 服务化部署: ppocr/infer_deploy/paddle_server.md
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- Android部署: ppocr/infer_deploy/android_demo.md
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- Jetson部署: ppocr/infer_deploy/Jetson_infer.md
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- 端侧部署: ppocr/infer_deploy/lite.md
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- 网页前端部署: ppocr/infer_deploy/paddle_js.md
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- Paddle2ONNX模型转化与预测: ppocr/infer_deploy/paddle2onnx.md
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- 云上飞桨部署工具: ppocr/infer_deploy/paddle_cloud.md
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- Benchmark: ppocr/infer_deploy/benchmark.md
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- 博客:
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- PP-OCRv3技术报告: ppocr/blog/PP-OCRv3_introduction.md
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- PP-OCRv4技术报告: ppocr/blog/PP-OCRv4_introduction.md
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- paddleocr package使用说明: ppocr/blog/whl.md
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- 多语言模型: ppocr/blog/multi_languages.md
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- 动手学OCR: ppocr/blog/ocr_book.md
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- Enhanced CTC Loss: ppocr/blog/enhanced_ctc_loss.md
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- 切片操作: ppocr/blog/slice.md
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- PaddleOCR模型推理参数解释: ppocr/blog/inference_args.md
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- 分布式训练: ppocr/blog/distributed_training.md
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- 项目克隆: ppocr/blog/clone.md
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- 配置文件内容与生成: ppocr/blog/config.md
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- 如何生产自定义超轻量模型？: ppocr/blog/customize.md
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- PP-Structure文档分析:
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- 概述: ppstructure/overview.md
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- 快速开始: ppstructure/quick_start.md
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- 模型库: ppstructure/models_list.md
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- 模型训练:
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- 基本概念: ppstructure/model_train/training.md
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- 版面分析: ppstructure/model_train/train_layout.md
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- 表格识别: ppstructure/model_train/train_table.md
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- 版面恢复: ppstructure/model_train/recovery_to_doc.md
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- 关键信息提取: ppstructure/model_train/train_kie.md
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- 推理部署:
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- 概述: ppstructure/infer_deploy/index.md
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- 基于Python预测引擎推理: ppstructure/infer_deploy/python_infer.md
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- 基于C++预测引擎推理: ppstructure/infer_deploy/cpp_infer.md
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- 服务化部署: ppstructure/infer_deploy/paddle_server.md
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- 博客:
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- 返回识别位置: ppstructure/blog/return_word_pos.md
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- 怎样完成基于图像数据的信息抽取任务: ppstructure/blog/how_to_do_kie.md
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- 前沿算法与模型:
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- 概述: algorithm/overview.md
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- 文本检测算法:
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- DB与DB++: algorithm/text_detection/algorithm_det_db.md
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- EAST: algorithm/text_detection/algorithm_det_east.md
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- SAST: algorithm/text_detection/algorithm_det_sast.md
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- PSENet: algorithm/text_detection/algorithm_det_psenet.md
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- FCENet: algorithm/text_detection/algorithm_det_fcenet.md
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- DRRG: algorithm/text_detection/algorithm_det_drrg.md
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- CT: algorithm/text_detection/algorithm_det_ct.md
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- 文本识别算法:
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- CRNN: algorithm/text_recognition/algorithm_rec_crnn.md
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- Rosetta: algorithm/text_recognition/algorithm_rec_rosetta.md
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- STAR-Net: algorithm/text_recognition/algorithm_rec_starnet.md
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- RARE: algorithm/text_recognition/algorithm_rec_rare.md
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- SRN: algorithm/text_recognition/algorithm_rec_srn.md
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- NRTR: algorithm/text_recognition/algorithm_rec_nrtr.md
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- SAR: algorithm/text_recognition/algorithm_rec_sar.md
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- SEED: algorithm/text_recognition/algorithm_rec_seed.md
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- SVTR: algorithm/text_recognition/algorithm_rec_svtr.md
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- SVTRv2: algorithm/text_recognition/algorithm_rec_svtrv2.md
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- ViTSTR: algorithm/text_recognition/algorithm_rec_vitstr.md
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- ABINet: algorithm/text_recognition/algorithm_rec_abinet.md
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- VisionLAN: algorithm/text_recognition/algorithm_rec_visionlan.md
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- SPIN: algorithm/text_recognition/algorithm_rec_spin.md
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- RobustScanner: algorithm/text_recognition/algorithm_rec_robustscanner.md
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- RFL: algorithm/text_recognition/algorithm_rec_rfl.md
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- ParseQ: algorithm/text_recognition/algorithm_rec_parseq.md
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- CPPD: algorithm/text_recognition/algorithm_rec_cppd.md
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- SATRN: algorithm/text_recognition/algorithm_rec_satrn.md
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- 文本超分辨率算法:
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- Text Gestalt: algorithm/super_resolution/algorithm_sr_gestalt.md
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- Text Telescope: algorithm/super_resolution/algorithm_sr_telescope.md
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- 公式识别算法:
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- CAN: algorithm/formula_recognition/algorithm_rec_can.md
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- LaTeX-OCR: algorithm/formula_recognition/algorithm_rec_latex_ocr.md
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- 端到端OCR算法:
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- PGNet: algorithm/end_to_end/algorithm_e2e_pgnet.md
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- 表格识别算法:
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- TableMaster: algorithm/table_recognition/algorithm_table_master.md
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- TableSLANet: algorithm/table_recognition/algorithm_table_slanet.md
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- 关键信息抽取算法:
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- VI-LayoutXLM: algorithm/kie/algorithm_kie_vi_layoutxlm.md
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- LayoutLM: algorithm/kie/algorithm_kie_layoutxlm.md
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# - LayoutLMv2: algorithm/kie/algorithm_kie_layoutxlm.md
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# - LayoutXLM: algorithm/kie/algorithm_kie_layoutxlm.md
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- SDMGR: algorithm/kie/./algorithm_kie_sdmgr.md
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- 使用PaddleOCR架构添加新算法: algorithm/add_new_algorithm.md
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- 场景应用:
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- 概述: applications/overview.md
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- 通用:
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- 高精度中文场景文本识别模型SVTR: applications/高精度中文识别模型.md
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- 手写体识别: applications/手写文字识别.md
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- 制造:
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- 数码管识别: applications/光功率计数码管字符识别.md
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- 液晶屏读数识别: applications/液晶屏读数识别.md
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- 包装生产日期: applications/包装生产日期识别.md
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- PCB文字识别: applications/PCB字符识别.md
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- 金融:
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- 表单VQA: applications/多模态表单识别.md
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- 增值税发票: applications/发票关键信息抽取.md
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- 印章检测与识别: applications/印章弯曲文字识别.md
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- 通用卡证识别: applications/快速构建卡证类OCR.md
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- 合同比对: applications/扫描合同关键信息提取.md
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- 交通:
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- 车牌识别: applications/轻量级车牌识别.md
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- 数据标注与合成:
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- 概述: data_anno_synth/overview.md
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- 其它数据标注工具: data_anno_synth/data_annotation.md
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- 其它数据合成工具: data_anno_synth/data_synthesis.md
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- 数据集:
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- 通用中英文OCR数据集: datasets/datasets.md
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- 手写中文OCR数据集: datasets/handwritten_datasets.md
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- 垂类多语言OCR数据集: datasets/vertical_and_multilingual_datasets.md
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- 版面分析数据集: datasets/layout_datasets.md
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- 表格识别数据集: datasets/table_datasets.md
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- 关键信息提取数据集: datasets/kie_datasets.md
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- FAQ: FAQ.md
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- 社区:
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- 社区贡献: community/community_contribution.md
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- 附录: community/code_and_doc.md
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