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mkdocs.yml
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site_name: PaddleOCR 文档
site_url: https://paddlepaddle.github.io/PaddleOCR/
site_author: PaddleOCR PMC
site_description:
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)
repo_name: PaddlePaddle/PaddleOCR
repo_url: https://github.com/PaddlePaddle/PaddleOCR
copyright: Copyright © 2024 Maintained by PaddleOCR PMC.
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- locale: en
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site_name: PaddleOCR Documentation
link: /en/
nav_translations:
Home: Home
快速开始: Quick Start
近期更新: Recently Update
低代码全流程开发: All-in-One Development
概述: Overview
模型: Model
PP-OCR 文本检测识别: PP-OCR
快速安装: Quick Installation
效果展示: Visualization
运行环境: Environment Preparation
模型库: Model
模型训练: Model Training
基本概念: Basic concepts
文本检测: Text Detection
文本识别: Text Recognition
文本方向分类器: Text Angle Classification
关键信息提取: Key Information Extraction
模型微调: Fine-tune
训练tricks: Training Tricks
模型压缩: Model Compression
模型量化: Model Quantization
模型裁剪: Model Prune
知识蒸馏: Knowledge Distillation
推理部署: Model Deploy
基于Python预测引擎推理: Python Inference
基于C++预测引擎推理: CPP Inference
Visual Studio 2019 Community CMake 编译指南: Visual Studio 2019 Community CMake Compilation Guide
服务化部署: Sever Deployment
Jetson部署: Jetson Deployment
端侧部署: Device-side Deployment
网页前端部署: Paddle.js Web Deployment
Paddle2ONNX模型转化与预测: Paddle2ONNX
云上飞桨部署工具: Paddle Cloud
Benchmark: Benchmark
博客: Blog
paddleocr package使用说明: Paddleocr Package Instructions
多语言模型: Multi-language model
动手学OCR: Dive into OCR
切片操作: Slice
PaddleOCR模型推理参数解释: PaddleOCR Model Inference Parameter Explanation
分布式训练: Distributed training
项目克隆: Project Clone
配置文件内容与生成: Configuration
如何生产自定义超轻量模型？: How To Make Your own lightweight OCR model?
PP-Structure文档分析: PP-Structure
版面分析: Layout Analysis
版面恢复: Recovery To Doc
表格识别: Table Recognition
返回识别位置: Return Recognition Location
怎样完成基于图像数据的信息抽取任务: Key Information Extraction Pipeline
前沿算法与模型: Academic Algorithms
文本检测算法: Text Detection Algorithms
DB与DB++: DB and DB++
文本识别算法: Text Recognition Algorithms
文本超分辨率算法: Text Super-Resolution Algorithm
公式识别算法: Formulat Recognition
端到端OCR算法: End-to-End OCR Algorithms
表格识别算法: Table Recognition Algorithms
关键信息抽取算法: Key Information Extraction Algorithms
使用PaddleOCR架构添加新算法: Add new algorithms
场景应用: Applications
数据标注与合成: Data Annotation and Synthesis
其它数据标注工具: Other data annotation tools
其它数据合成工具: Others data synthesis tools
数据集: Datasets
通用中英文OCR数据集: General Chinese and English OCR dataset
手写中文OCR数据集: Handwritten Chinese OCR Dataset
垂类多语言OCR数据集: Vertical multi-language OCR dataset
版面分析数据集: Layout Analysis Dataset
表格识别数据集: Table recognition dataset
关键信息提取数据集: Key Information Extraction Dataset
FAQ: FAQ
社区: Community
社区贡献: Community Contribution
附录: Appendix
- locale: ja
name: 日本語
site_name: PaddleOCR ドキュメント
link: /ja/
nav_translations:
Home: トップページ
- locale: ru
name: Pу́сский язы́к
site_name: Документация PaddleOCR
link: /ru/
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name: हिन्दी
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nav:
- Home: index.md
- 快速开始: quick_start.md
- 近期更新: update.md
- 低代码全流程开发:
- 概述: paddlex/overview.md
- 快速开始: paddlex/quick_start.md
- 模型:
- 概览: model/index.md
- 多硬件安装飞桨:
- 多硬件安装飞桨: model/hardware/install_other_devices.md
- 支持硬件列表: model/hardware/supported_models.md
- PP-OCR 文本检测识别:
- 概述: ppocr/overview.md
- 快速开始: ppocr/quick_start.md
- 快速安装: ppocr/installation.md
- 效果展示: ppocr/visualization.md
- 运行环境: ppocr/environment.md
- 模型库: ppocr/model_list.md
- 模型训练:
- 基本概念: ppocr/model_train/training.md
- 文本检测: ppocr/model_train/detection.md
- 文本识别: ppocr/model_train/recognition.md
- 文本方向分类器: ppocr/model_train/angle_class.md
- 关键信息提取: ppocr/model_train/kie.md
- 模型微调: ppocr/model_train/finetune.md
- 训练tricks: ppocr/model_train/tricks.md
- 模型压缩:
- 模型量化: ppocr/model_compress/quantization.md
- 模型裁剪: ppocr/model_compress/prune.md
- 知识蒸馏: ppocr/model_compress/knowledge_distillation.md
- 推理部署:
- 概述: ppocr/infer_deploy/index.md
- 基于Python预测引擎推理: ppocr/infer_deploy/python_infer.md
- 基于C++预测引擎推理: ppocr/infer_deploy/cpp_infer.md
- Visual Studio 2019 Community CMake 编译指南: ppocr/infer_deploy/windows_vs2019_build.md
- 服务化部署: ppocr/infer_deploy/paddle_server.md
- Android部署: ppocr/infer_deploy/android_demo.md
- Jetson部署: ppocr/infer_deploy/Jetson_infer.md
- 端侧部署: ppocr/infer_deploy/lite.md
- 网页前端部署: ppocr/infer_deploy/paddle_js.md
- Paddle2ONNX模型转化与预测: ppocr/infer_deploy/paddle2onnx.md
- 云上飞桨部署工具: ppocr/infer_deploy/paddle_cloud.md
- Benchmark: ppocr/infer_deploy/benchmark.md
- 博客:
- PP-OCRv3技术报告: ppocr/blog/PP-OCRv3_introduction.md
- PP-OCRv4技术报告: ppocr/blog/PP-OCRv4_introduction.md
- paddleocr package使用说明: ppocr/blog/whl.md
- 多语言模型: ppocr/blog/multi_languages.md
- 动手学OCR: ppocr/blog/ocr_book.md
- Enhanced CTC Loss: ppocr/blog/enhanced_ctc_loss.md
- 切片操作: ppocr/blog/slice.md
- PaddleOCR模型推理参数解释: ppocr/blog/inference_args.md
- 分布式训练: ppocr/blog/distributed_training.md
- 项目克隆: ppocr/blog/clone.md
- 配置文件内容与生成: ppocr/blog/config.md
- 如何生产自定义超轻量模型？: ppocr/blog/customize.md
- PP-Structure文档分析:
- 概述: ppstructure/overview.md
- 快速开始: ppstructure/quick_start.md
- 模型库: ppstructure/models_list.md
- 模型训练:
- 基本概念: ppstructure/model_train/training.md
- 版面分析: ppstructure/model_train/train_layout.md
- 表格识别: ppstructure/model_train/train_table.md
- 版面恢复: ppstructure/model_train/recovery_to_doc.md
- 关键信息提取: ppstructure/model_train/train_kie.md
- 推理部署:
- 概述: ppstructure/infer_deploy/index.md
- 基于Python预测引擎推理: ppstructure/infer_deploy/python_infer.md
- 基于C++预测引擎推理: ppstructure/infer_deploy/cpp_infer.md
- 服务化部署: ppstructure/infer_deploy/paddle_server.md
- 博客:
- 返回识别位置: ppstructure/blog/return_word_pos.md
- 怎样完成基于图像数据的信息抽取任务: ppstructure/blog/how_to_do_kie.md
- 前沿算法与模型:
- 概述: algorithm/overview.md
- 文本检测算法:
- DB与DB++: algorithm/text_detection/algorithm_det_db.md
- EAST: algorithm/text_detection/algorithm_det_east.md
- SAST: algorithm/text_detection/algorithm_det_sast.md
- PSENet: algorithm/text_detection/algorithm_det_psenet.md
- FCENet: algorithm/text_detection/algorithm_det_fcenet.md
- DRRG: algorithm/text_detection/algorithm_det_drrg.md
- CT: algorithm/text_detection/algorithm_det_ct.md
- 文本识别算法:
- CRNN: algorithm/text_recognition/algorithm_rec_crnn.md
- Rosetta: algorithm/text_recognition/algorithm_rec_rosetta.md
- STAR-Net: algorithm/text_recognition/algorithm_rec_starnet.md
- RARE: algorithm/text_recognition/algorithm_rec_rare.md
- SRN: algorithm/text_recognition/algorithm_rec_srn.md
- NRTR: algorithm/text_recognition/algorithm_rec_nrtr.md
- SAR: algorithm/text_recognition/algorithm_rec_sar.md
- SEED: algorithm/text_recognition/algorithm_rec_seed.md
- SVTR: algorithm/text_recognition/algorithm_rec_svtr.md
- SVTRv2: algorithm/text_recognition/algorithm_rec_svtrv2.md
- ViTSTR: algorithm/text_recognition/algorithm_rec_vitstr.md
- ABINet: algorithm/text_recognition/algorithm_rec_abinet.md
- VisionLAN: algorithm/text_recognition/algorithm_rec_visionlan.md
- SPIN: algorithm/text_recognition/algorithm_rec_spin.md
- RobustScanner: algorithm/text_recognition/algorithm_rec_robustscanner.md
- RFL: algorithm/text_recognition/algorithm_rec_rfl.md
- ParseQ: algorithm/text_recognition/algorithm_rec_parseq.md
- CPPD: algorithm/text_recognition/algorithm_rec_cppd.md
- SATRN: algorithm/text_recognition/algorithm_rec_satrn.md
- 文本超分辨率算法:
- Text Gestalt: algorithm/super_resolution/algorithm_sr_gestalt.md
- Text Telescope: algorithm/super_resolution/algorithm_sr_telescope.md
- 公式识别算法:
- CAN: algorithm/formula_recognition/algorithm_rec_can.md
- LaTeX-OCR: algorithm/formula_recognition/algorithm_rec_latex_ocr.md
- UniMERNet: algorithm/formula_recognition/algorithm_rec_unimernet.md
- PP-FormulaNet: algorithm/formula_recognition/algorithm_rec_ppformulanet.md
- 端到端OCR算法:
- PGNet: algorithm/end_to_end/algorithm_e2e_pgnet.md
- 表格识别算法:
- TableMaster: algorithm/table_recognition/algorithm_table_master.md
- TableSLANet: algorithm/table_recognition/algorithm_table_slanet.md
- 关键信息抽取算法:
- VI-LayoutXLM: algorithm/kie/algorithm_kie_vi_layoutxlm.md
- LayoutLM: algorithm/kie/algorithm_kie_layoutxlm.md
# - LayoutLMv2: algorithm/kie/algorithm_kie_layoutxlm.md
# - LayoutXLM: algorithm/kie/algorithm_kie_layoutxlm.md
- SDMGR: algorithm/kie/./algorithm_kie_sdmgr.md
- 使用PaddleOCR架构添加新算法: algorithm/add_new_algorithm.md
- 场景应用:
- 概述: applications/overview.md
- 通用:
- 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
- 手写体识别: applications/手写文字识别.md
- 制造:
- 数码管识别: applications/光功率计数码管字符识别.md
- 液晶屏读数识别: applications/液晶屏读数识别.md
- 包装生产日期: applications/包装生产日期识别.md
- PCB文字识别: applications/PCB字符识别.md
- 金融:
- 表单VQA: applications/多模态表单识别.md
- 增值税发票: applications/发票关键信息抽取.md
- 印章检测与识别: applications/印章弯曲文字识别.md
- 通用卡证识别: applications/快速构建卡证类OCR.md
- 合同比对: applications/扫描合同关键信息提取.md
- 交通:
- 车牌识别: applications/轻量级车牌识别.md
- 数据标注与合成:
- 概述: data_anno_synth/overview.md
- 其它数据标注工具: data_anno_synth/data_annotation.md
- 其它数据合成工具: data_anno_synth/data_synthesis.md
- 数据集:
- 通用中英文OCR数据集: datasets/datasets.md
- 手写中文OCR数据集: datasets/handwritten_datasets.md
- 垂类多语言OCR数据集: datasets/vertical_and_multilingual_datasets.md
- 版面分析数据集: datasets/layout_datasets.md
- 表格识别数据集: datasets/table_datasets.md
- 关键信息提取数据集: datasets/kie_datasets.md
- FAQ: FAQ.md
- 社区:
- 社区贡献: community/community_contribution.md
- 附录: community/code_and_doc.md