6111 lines
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<meta name="description" content="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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<title>近期更新 - PaddleOCR 文档</title>
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🔥2024.10.1 添加OCR领域低代码全流程开发能力
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🔥 2024.7 添加 PaddleOCR 算法模型挑战赛冠军方案：
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🔥2024.5.10 上线星河零代码产线(OCR 相关)
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🔥2023.8.7 发布 PaddleOCR release/2.7
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🔨2022.11 新增实现4 种前沿算法：文本检测 DRRG, 文本识别 RFL, 文本超分Text Telescope，公式识别CAN
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2022.10 优化JS 版 PP-OCRv3 模型：模型大小仅 4.3M，预测速度提升 8 倍，配套 web demo 开箱即用
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🔥2022.8.24 发布 PaddleOCR release/2.6
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<a href="#20228-ocr-svtr-9-ocr" class="md-nav__link">
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<span class="md-ellipsis">
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2022.8 发布 OCR 场景应用集合：包含数码管、液晶屏、车牌、高精度 SVTR 模型、手写体识别等9 个垂类模型，覆盖通用，制造、金融、交通行业的主要 OCR 垂类应用
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<a href="#202259-paddleocr-v25" class="md-nav__link">
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2022.5.9 发布PaddleOCR v2.5。发布内容包括
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|
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2022.5.7 添加对Weights & Biases训练日志记录工具的支持
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|
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2021.12.21 《OCR十讲》课程开讲，12月21日起每晚八点半线上授课！ 【免费】报名地址：https://aistudio.baidu.com/aistudio/course/introduce/25207
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2021.12.21 发布PaddleOCR v2.4。OCR算法新增1种文本检测算法（PSENet），3种文本识别算法（NRTR、SEED、SAR）；文档结构化算法新增1种关键信息提取算法（SDMGR），3种DocVQA算法（LayoutLM、LayoutLMv2，LayoutXLM）
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|
||
2021.9.7 发布PaddleOCR v2.3，发布PP-OCRv2，CPU推理速度相比于PP-OCR server提升220%；效果相比于PP-OCR mobile 提升7%
|
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2021.8.3 发布PaddleOCR v2.2，新增文档结构分析PP-Structure工具包，支持版面分析与表格识别（含Excel导出）
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2021.6.29 FAQ新增5个高频问题，总数248个，每周一都会更新，欢迎大家持续关注
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2021.4.8 release 2.1版本，新增AAAI 2021论文端到端识别算法PGNet开源，多语言模型支持种类增加到80+
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2020.12.15 更新数据合成工具Style-Text，可以批量合成大量与目标场景类似的图像，在多个场景验证，效果明显提升
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2020.12.07 FAQ新增5个高频问题，总数124个，并且计划以后每周一都会更新，欢迎大家持续关注
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<a href="#20201125-ppocrlabelpp-ocr" class="md-nav__link">
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|
||
2020.11.25 更新半自动标注工具PPOCRLabel，辅助开发者高效完成标注任务，输出格式与PP-OCR训练任务完美衔接
|
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|
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|
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<a href="#2020922-pp-ocrhttpsarxivorgabs200909941" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.9.22 更新PP-OCR技术文章，https://arxiv.org/abs/2009.09941
|
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</span>
|
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</a>
|
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|
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</li>
|
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<li class="md-nav__item">
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<a href="#2020919-ppocr_mobile_slim35mpp-ocr-pipeline" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
2020.9.19 更新超轻量压缩ppocr_mobile_slim系列模型，整体模型3.5M(详见PP-OCR Pipeline)，适合在移动端部署使用
|
||
</span>
|
||
</a>
|
||
|
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</li>
|
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|
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<a href="#2020917-ppocr_mobileppocr_serverocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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2020.9.17 更新超轻量ppocr_mobile系列和通用ppocr_server系列中英文ocr模型，媲美商业效果
|
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</span>
|
||
</a>
|
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|
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</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#2020917" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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2020.9.17 更新英文识别模型和多语种识别模型，已支持德语、法语、日语、韩语，更多语种识别模型将持续更新
|
||
</span>
|
||
</a>
|
||
|
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</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#2020826-ocr84faq" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.8.26 更新OCR相关的84个常见问题及解答，具体参考FAQ
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
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<a href="#2020824-whlpaddleocrpaddleocr-package" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.8.24 支持通过whl包安装使用PaddleOCR，具体参考Paddleocr Package使用说明
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#2020821-818bppt2ocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.8.21 更新8月18日B站直播课回放和PPT，课节2，易学易用的OCR工具大礼包，获取地址
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#2020816-sastsrn" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.8.16 开源文本检测算法SAST和文本识别算法SRN
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
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<li class="md-nav__item">
|
||
<a href="#2020723-721bppt1paddleocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.7.23 发布7月21日B站直播课回放和PPT，课节1，PaddleOCR开源大礼包全面解读，获取地址
|
||
</span>
|
||
</a>
|
||
|
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</li>
|
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|
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<li class="md-nav__item">
|
||
<a href="#2020715-easyedgepaddle-litedemoiosandroid" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.7.15 添加基于EasyEdge和Paddle-Lite的移动端DEMO，支持iOS和Android系统
|
||
</span>
|
||
</a>
|
||
|
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</li>
|
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|
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<li class="md-nav__item">
|
||
<a href="#2020715-cocrbenchmark" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.7.15 完善预测部署，添加基于C++预测引擎推理、服务化部署和端侧部署方案，以及超轻量级中文OCR模型预测耗时Benchmark
|
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</span>
|
||
</a>
|
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|
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</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#2020715-ocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.7.15 整理OCR相关数据集、常用数据标注以及合成工具
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#202079" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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2020.7.9 添加支持空格的识别模型，识别效果，预测及训练方式请参考快速开始和文本识别训练相关文档
|
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</span>
|
||
</a>
|
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|
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</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#202079_1" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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2020.7.9 添加数据增强、学习率衰减策略,具体参考配置文件
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#202068" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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2020.6.8 添加数据集，并保持持续更新
|
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</span>
|
||
</a>
|
||
|
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</li>
|
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|
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<li class="md-nav__item">
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<a href="#202065-attetnion-inference_model" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
2020.6.5 支持 attetnion 模型导出 inference_model
|
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</span>
|
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</a>
|
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|
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</li>
|
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|
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|
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|
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<a href="#2020530-ocr" class="md-nav__link">
|
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|
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||
</a>
|
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|
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|
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</a>
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|
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|
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<span class="md-ellipsis">
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</a>
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</a>
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快速开始
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</a>
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快速安装
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</a>
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</span>
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<a href="ppocr/model_list.html" class="md-nav__link">
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|
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<li class="md-nav__item">
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<a href="ppocr/model_compress/prune.html" class="md-nav__link">
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<span class="md-ellipsis">
|
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模型裁剪
|
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</span>
|
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|
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|
||
</a>
|
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</li>
|
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|
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<span class="md-ellipsis">
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知识蒸馏
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</span>
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|
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</a>
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基于Python预测引擎推理
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</span>
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</a>
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<li class="md-nav__item">
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<a href="ppocr/infer_deploy/cpp_infer.html" class="md-nav__link">
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<span class="md-ellipsis">
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基于C++预测引擎推理
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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Visual Studio 2019 Community CMake 编译指南
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</span>
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</a>
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<li class="md-nav__item">
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<span class="md-ellipsis">
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服务化部署
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</span>
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</a>
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</li>
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<span class="md-ellipsis">
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Android部署
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</span>
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|
||
</a>
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</li>
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<li class="md-nav__item">
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<a href="ppocr/infer_deploy/Jetson_infer.html" class="md-nav__link">
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<span class="md-ellipsis">
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Jetson部署
|
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</span>
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|
||
</a>
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</li>
|
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<li class="md-nav__item">
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<a href="ppocr/infer_deploy/lite.html" class="md-nav__link">
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<span class="md-ellipsis">
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端侧部署
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</span>
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</a>
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</li>
|
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|
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|
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<li class="md-nav__item">
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<a href="ppocr/infer_deploy/paddle_js.html" class="md-nav__link">
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<span class="md-ellipsis">
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网页前端部署
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</span>
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|
||
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</a>
|
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</li>
|
||
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<li class="md-nav__item">
|
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<a href="ppocr/infer_deploy/paddle2onnx.html" class="md-nav__link">
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<span class="md-ellipsis">
|
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Paddle2ONNX模型转化与预测
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</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
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<li class="md-nav__item">
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<a href="ppocr/infer_deploy/paddle_cloud.html" class="md-nav__link">
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<span class="md-ellipsis">
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云上飞桨部署工具
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<span class="md-ellipsis">
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Benchmark
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</span>
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|
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</a>
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<a href="ppocr/blog/PP-OCRv3_introduction.html" class="md-nav__link">
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<span class="md-ellipsis">
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PP-OCRv3技术报告
|
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</span>
|
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|
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|
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</a>
|
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</li>
|
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<li class="md-nav__item">
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<a href="ppocr/blog/PP-OCRv4_introduction.html" class="md-nav__link">
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<span class="md-ellipsis">
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PP-OCRv4技术报告
|
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</span>
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="ppocr/blog/whl.html" class="md-nav__link">
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<span class="md-ellipsis">
|
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paddleocr package使用说明
|
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</span>
|
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|
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|
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</a>
|
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</li>
|
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|
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<li class="md-nav__item">
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<a href="ppocr/blog/multi_languages.html" class="md-nav__link">
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<span class="md-ellipsis">
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多语言模型
|
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</span>
|
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|
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|
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</a>
|
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</li>
|
||
|
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<li class="md-nav__item">
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<a href="ppocr/blog/ocr_book.html" class="md-nav__link">
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<span class="md-ellipsis">
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动手学OCR
|
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</span>
|
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|
||
|
||
</a>
|
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</li>
|
||
|
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<li class="md-nav__item">
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<span class="md-ellipsis">
|
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Enhanced CTC Loss
|
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</span>
|
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|
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|
||
</a>
|
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</li>
|
||
|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="ppocr/blog/slice.html" class="md-nav__link">
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<span class="md-ellipsis">
|
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切片操作
|
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</span>
|
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|
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|
||
</a>
|
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</li>
|
||
|
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|
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<li class="md-nav__item">
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<a href="ppocr/blog/inference_args.html" class="md-nav__link">
|
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|
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|
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<span class="md-ellipsis">
|
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PaddleOCR模型推理参数解释
|
||
</span>
|
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|
||
|
||
</a>
|
||
</li>
|
||
|
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|
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<li class="md-nav__item">
|
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<a href="ppocr/blog/distributed_training.html" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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分布式训练
|
||
</span>
|
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|
||
|
||
</a>
|
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</li>
|
||
|
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|
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<li class="md-nav__item">
|
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<a href="ppocr/blog/clone.html" class="md-nav__link">
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<span class="md-ellipsis">
|
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项目克隆
|
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</span>
|
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|
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|
||
</a>
|
||
</li>
|
||
|
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|
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<li class="md-nav__item">
|
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<a href="ppocr/blog/config.html" class="md-nav__link">
|
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|
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<span class="md-ellipsis">
|
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配置文件内容与生成
|
||
</span>
|
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|
||
|
||
</a>
|
||
</li>
|
||
|
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<li class="md-nav__item">
|
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<a href="ppocr/blog/customize.html" class="md-nav__link">
|
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|
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<span class="md-ellipsis">
|
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如何生产自定义超轻量模型？
|
||
</span>
|
||
|
||
|
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</a>
|
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</li>
|
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|
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|
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</ul>
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</nav>
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|
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|
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|
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|
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|
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|
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PP-Structure文档分析
|
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</span>
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<a href="ppstructure/overview.html" class="md-nav__link">
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<span class="md-ellipsis">
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概述
|
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</span>
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|
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|
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</a>
|
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</li>
|
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|
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快速开始
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</span>
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|
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</a>
|
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</li>
|
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|
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<li class="md-nav__item">
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模型库
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</span>
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|
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</a>
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</li>
|
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|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
||
|
||
|
||
|
||
|
||
|
||
<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_9" >
|
||
|
||
|
||
<label class="md-nav__link" for="__nav_9" id="__nav_9_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
场景应用
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_9_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_9">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
场景应用
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
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|
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|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/overview.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
概述
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
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|
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|
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|
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|
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_9_2" >
|
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|
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<label class="md-nav__link" for="__nav_9_2" id="__nav_9_2_label" tabindex="0">
|
||
|
||
|
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<span class="md-ellipsis">
|
||
通用
|
||
</span>
|
||
|
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|
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<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_9_2_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_9_2">
|
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<span class="md-nav__icon md-icon"></span>
|
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通用
|
||
</label>
|
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<ul class="md-nav__list" data-md-scrollfix>
|
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<li class="md-nav__item">
|
||
<a href="applications/%E9%AB%98%E7%B2%BE%E5%BA%A6%E4%B8%AD%E6%96%87%E8%AF%86%E5%88%AB%E6%A8%A1%E5%9E%8B.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
高精度中文场景文本识别模型SVTR
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
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||
|
||
|
||
|
||
|
||
|
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|
||
<li class="md-nav__item">
|
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<a href="applications/%E6%89%8B%E5%86%99%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
手写体识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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|
||
<li class="md-nav__item md-nav__item--nested">
|
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_9_3" >
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<label class="md-nav__link" for="__nav_9_3" id="__nav_9_3_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
制造
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_9_3_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_9_3">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
制造
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
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|
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<li class="md-nav__item">
|
||
<a href="applications/%E5%85%89%E5%8A%9F%E7%8E%87%E8%AE%A1%E6%95%B0%E7%A0%81%E7%AE%A1%E5%AD%97%E7%AC%A6%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
数码管识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
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|
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|
||
|
||
|
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|
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|
||
<li class="md-nav__item">
|
||
<a href="applications/%E6%B6%B2%E6%99%B6%E5%B1%8F%E8%AF%BB%E6%95%B0%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
液晶屏读数识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/%E5%8C%85%E8%A3%85%E7%94%9F%E4%BA%A7%E6%97%A5%E6%9C%9F%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
包装生产日期
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/PCB%E5%AD%97%E7%AC%A6%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
PCB文字识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
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|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_9_4" >
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<label class="md-nav__link" for="__nav_9_4" id="__nav_9_4_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
金融
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_9_4_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_9_4">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
金融
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
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|
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|
||
<li class="md-nav__item">
|
||
<a href="applications/%E5%A4%9A%E6%A8%A1%E6%80%81%E8%A1%A8%E5%8D%95%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
表单VQA
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/%E5%8F%91%E7%A5%A8%E5%85%B3%E9%94%AE%E4%BF%A1%E6%81%AF%E6%8A%BD%E5%8F%96.html" class="md-nav__link">
|
||
|
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|
||
<span class="md-ellipsis">
|
||
增值税发票
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/%E5%8D%B0%E7%AB%A0%E5%BC%AF%E6%9B%B2%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
印章检测与识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/%E5%BF%AB%E9%80%9F%E6%9E%84%E5%BB%BA%E5%8D%A1%E8%AF%81%E7%B1%BBOCR.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
通用卡证识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="applications/%E6%89%AB%E6%8F%8F%E5%90%88%E5%90%8C%E5%85%B3%E9%94%AE%E4%BF%A1%E6%81%AF%E6%8F%90%E5%8F%96.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
合同比对
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
||
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|
||
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|
||
<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_9_5" >
|
||
|
||
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||
<label class="md-nav__link" for="__nav_9_5" id="__nav_9_5_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
交通
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_9_5_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_9_5">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
交通
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
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|
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<li class="md-nav__item">
|
||
<a href="applications/%E8%BD%BB%E9%87%8F%E7%BA%A7%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
车牌识别
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
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</ul>
|
||
</nav>
|
||
|
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</li>
|
||
|
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|
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|
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|
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</ul>
|
||
</nav>
|
||
|
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</li>
|
||
|
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|
||
|
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|
||
|
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|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
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|
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_10" >
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<label class="md-nav__link" for="__nav_10" id="__nav_10_label" tabindex="0">
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|
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|
||
<span class="md-ellipsis">
|
||
数据标注与合成
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
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<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_10_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_10">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
数据标注与合成
|
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</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
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|
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|
||
|
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|
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|
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|
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|
||
<li class="md-nav__item">
|
||
<a href="data_anno_synth/overview.html" class="md-nav__link">
|
||
|
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|
||
<span class="md-ellipsis">
|
||
概述
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
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|
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|
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|
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|
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|
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|
||
<li class="md-nav__item">
|
||
<a href="data_anno_synth/data_annotation.html" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
其它数据标注工具
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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|
||
<li class="md-nav__item">
|
||
<a href="data_anno_synth/data_synthesis.html" class="md-nav__link">
|
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|
||
|
||
<span class="md-ellipsis">
|
||
其它数据合成工具
|
||
</span>
|
||
|
||
|
||
</a>
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||
</li>
|
||
|
||
|
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|
||
|
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</ul>
|
||
</nav>
|
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|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle md-toggle--indeterminate" type="checkbox" id="__nav_11" >
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<label class="md-nav__link" for="__nav_11" id="__nav_11_label" tabindex="0">
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|
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<span class="md-ellipsis">
|
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数据集
|
||
</span>
|
||
|
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|
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<span class="md-nav__icon md-icon"></span>
|
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</label>
|
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|
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<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_11_label" aria-expanded="false">
|
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<label class="md-nav__title" for="__nav_11">
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<span class="md-nav__icon md-icon"></span>
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数据集
|
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</label>
|
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<ul class="md-nav__list" data-md-scrollfix>
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|
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|
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|
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|
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<li class="md-nav__item">
|
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<a href="datasets/datasets.html" class="md-nav__link">
|
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|
||
|
||
<span class="md-ellipsis">
|
||
通用中英文OCR数据集
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
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🔥2024.10.1 添加OCR领域低代码全流程开发能力
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🔥 2024.7 添加 PaddleOCR 算法模型挑战赛冠军方案：
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🔥2024.5.10 上线星河零代码产线(OCR 相关)
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🔥2023.8.7 发布 PaddleOCR release/2.7
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</a>
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🔨2022.11 新增实现4 种前沿算法：文本检测 DRRG, 文本识别 RFL, 文本超分Text Telescope，公式识别CAN
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2022.10 优化JS 版 PP-OCRv3 模型：模型大小仅 4.3M，预测速度提升 8 倍，配套 web demo 开箱即用
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🔥2022.8.24 发布 PaddleOCR release/2.6
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</a>
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<a href="#20228-ocr-svtr-9-ocr" class="md-nav__link">
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2022.8 发布 OCR 场景应用集合：包含数码管、液晶屏、车牌、高精度 SVTR 模型、手写体识别等9 个垂类模型，覆盖通用，制造、金融、交通行业的主要 OCR 垂类应用
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2022.5.9 发布PaddleOCR v2.5。发布内容包括
|
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2022.5.7 添加对Weights & Biases训练日志记录工具的支持
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</a>
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2021.12.21 《OCR十讲》课程开讲，12月21日起每晚八点半线上授课！ 【免费】报名地址：https://aistudio.baidu.com/aistudio/course/introduce/25207
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2021.12.21 发布PaddleOCR v2.4。OCR算法新增1种文本检测算法（PSENet），3种文本识别算法（NRTR、SEED、SAR）；文档结构化算法新增1种关键信息提取算法（SDMGR），3种DocVQA算法（LayoutLM、LayoutLMv2，LayoutXLM）
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2021.9.7 发布PaddleOCR v2.3，发布PP-OCRv2，CPU推理速度相比于PP-OCR server提升220%；效果相比于PP-OCR mobile 提升7%
|
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2021.8.3 发布PaddleOCR v2.2，新增文档结构分析PP-Structure工具包，支持版面分析与表格识别（含Excel导出）
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2021.6.29 FAQ新增5个高频问题，总数248个，每周一都会更新，欢迎大家持续关注
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2021.4.8 release 2.1版本，新增AAAI 2021论文端到端识别算法PGNet开源，多语言模型支持种类增加到80+
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2020.12.15 更新数据合成工具Style-Text，可以批量合成大量与目标场景类似的图像，在多个场景验证，效果明显提升
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2020.12.07 FAQ新增5个高频问题，总数124个，并且计划以后每周一都会更新，欢迎大家持续关注
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2020.11.25 更新半自动标注工具PPOCRLabel，辅助开发者高效完成标注任务，输出格式与PP-OCR训练任务完美衔接
|
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<a href="#2020922-pp-ocrhttpsarxivorgabs200909941" class="md-nav__link">
|
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|
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2020.9.22 更新PP-OCR技术文章，https://arxiv.org/abs/2009.09941
|
||
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||
</a>
|
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|
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|
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2020.9.19 更新超轻量压缩ppocr_mobile_slim系列模型，整体模型3.5M(详见PP-OCR Pipeline)，适合在移动端部署使用
|
||
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|
||
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|
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2020.9.17 更新超轻量ppocr_mobile系列和通用ppocr_server系列中英文ocr模型，媲美商业效果
|
||
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|
||
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|
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2020.9.17 更新英文识别模型和多语种识别模型，已支持德语、法语、日语、韩语，更多语种识别模型将持续更新
|
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|
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<a href="#2020826-ocr84faq" class="md-nav__link">
|
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|
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2020.8.26 更新OCR相关的84个常见问题及解答，具体参考FAQ
|
||
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|
||
</a>
|
||
|
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|
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2020.8.24 支持通过whl包安装使用PaddleOCR，具体参考Paddleocr Package使用说明
|
||
</span>
|
||
</a>
|
||
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<a href="#2020821-818bppt2ocr" class="md-nav__link">
|
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<span class="md-ellipsis">
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2020.8.21 更新8月18日B站直播课回放和PPT，课节2，易学易用的OCR工具大礼包，获取地址
|
||
</span>
|
||
</a>
|
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|
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</li>
|
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|
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|
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<span class="md-ellipsis">
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2020.8.16 开源文本检测算法SAST和文本识别算法SRN
|
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</span>
|
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</a>
|
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|
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|
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2020.7.23 发布7月21日B站直播课回放和PPT，课节1，PaddleOCR开源大礼包全面解读，获取地址
|
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</span>
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</a>
|
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<a href="#2020715-easyedgepaddle-litedemoiosandroid" class="md-nav__link">
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2020.7.15 添加基于EasyEdge和Paddle-Lite的移动端DEMO，支持iOS和Android系统
|
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</a>
|
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<span class="md-ellipsis">
|
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2020.7.15 完善预测部署，添加基于C++预测引擎推理、服务化部署和端侧部署方案，以及超轻量级中文OCR模型预测耗时Benchmark
|
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</span>
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</a>
|
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|
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<li class="md-nav__item">
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<a href="#2020715-ocr" class="md-nav__link">
|
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<span class="md-ellipsis">
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2020.7.15 整理OCR相关数据集、常用数据标注以及合成工具
|
||
</span>
|
||
</a>
|
||
|
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</li>
|
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<li class="md-nav__item">
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<a href="#202079" class="md-nav__link">
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<span class="md-ellipsis">
|
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2020.7.9 添加支持空格的识别模型，识别效果，预测及训练方式请参考快速开始和文本识别训练相关文档
|
||
</span>
|
||
</a>
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<li class="md-nav__item">
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<a href="#202079_1" class="md-nav__link">
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<span class="md-ellipsis">
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2020.7.9 添加数据增强、学习率衰减策略,具体参考配置文件
|
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</span>
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||
</a>
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</li>
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<li class="md-nav__item">
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<a href="#202068" class="md-nav__link">
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<span class="md-ellipsis">
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2020.6.8 添加数据集，并保持持续更新
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="#202065-attetnion-inference_model" class="md-nav__link">
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<span class="md-ellipsis">
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2020.6.5 支持 attetnion 模型导出 inference_model
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
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<a href="#202065" class="md-nav__link">
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||
<span class="md-ellipsis">
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2020.6.5 支持单独预测识别时，输出结果得分
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
||
<a href="#2020530-ocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.5.30 提供超轻量级中文OCR在线体验
|
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</span>
|
||
</a>
|
||
|
||
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#2020530-windows" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
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2020.5.30 模型预测、训练支持Windows系统
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
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<li class="md-nav__item">
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<a href="#2020530-ocr_1" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
2020.5.30 开源通用中文OCR模型
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
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<a href="#2020514-paddleocr" class="md-nav__link">
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<span class="md-ellipsis">
|
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2020.5.14 发布PaddleOCR公开课
|
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</span>
|
||
</a>
|
||
|
||
</li>
|
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|
||
<li class="md-nav__item">
|
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<a href="#2020514-paddleocr_1" class="md-nav__link">
|
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<span class="md-ellipsis">
|
||
2020.5.14 发布PaddleOCR实战练习
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
<li class="md-nav__item">
|
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<a href="#2020514-86mocr" class="md-nav__link">
|
||
<span class="md-ellipsis">
|
||
2020.5.14 开源8.6M超轻量级中文OCR模型
|
||
</span>
|
||
</a>
|
||
|
||
</li>
|
||
|
||
</ul>
|
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</nav>
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|
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</li>
|
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|
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</ul>
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|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-content" data-md-component="content">
|
||
<article class="md-content__inner md-typeset">
|
||
|
||
|
||
|
||
|
||
<a href="https://github.com/PaddlePaddle/PaddleOCR/edit/main/docs/update.md" title="编辑此页" class="md-content__button md-icon">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75z"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
|
||
|
||
<a href="https://github.com/PaddlePaddle/PaddleOCR/raw/main/docs/update.md" title="查看本页的源代码" class="md-content__button md-icon">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5"/></svg>
|
||
</a>
|
||
|
||
|
||
|
||
<h1>近期更新</h1>
|
||
|
||
<h3 id="_1">更新<a class="headerlink" href="#_1" title="Permanent link">¶</a></h3>
|
||
<h4 id="2024101-ocr"><strong>🔥2024.10.1 添加OCR领域低代码全流程开发能力</strong><a class="headerlink" href="#2024101-ocr" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>
|
||
<p>飞桨低代码开发工具PaddleX，依托于PaddleOCR的先进技术，支持了OCR领域的低代码全流程开发能力：</p>
|
||
<ul>
|
||
<li>🎨 <a href="https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/quick_start.html"><strong>模型丰富一键调用</strong></a>：将文本图像智能分析、通用OCR、通用版面解析、通用表格识别、公式识别、印章文本识别涉及的<strong>17个模型</strong>整合为6条模型产线，通过极简的<strong>Python API一键调用</strong>，快速体验模型效果。此外，同一套API，也支持图像分类、目标检测、图像分割、时序预测等共计<strong>200+模型</strong>，形成20+单功能模块，方便开发者进行<strong>模型组合</strong>使用。</li>
|
||
<li>🚀<a href="https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/overview.html"><strong>提高效率降低门槛</strong></a>：提供基于<strong>统一命令</strong>和<strong>图形界面</strong>两种方式，实现模型简洁高效的使用、组合与定制。支持<strong>高性能推理、服务化部署和端侧部署</strong>等多种部署方式。此外，对于各种主流硬件如<strong>英伟达GPU、昆仑芯、昇腾、寒武纪和海光</strong>等，进行模型开发时，都可以<strong>无缝切换</strong>。</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>支持文档场景信息抽取v3<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.md">PP-ChatOCRv3-doc</a>、基于RT-DETR的<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/layout_detection.md">高精度版面区域检测模型</a>和PicoDet的<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/layout_detection.md">高效率版面区域检测模型</a>、高精度表格结构识别模型<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md">SLANet_Plus</a>、文本图像矫正模型<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.md">UVDoc</a>、公式识别模型<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/formula_recognition.md">LatexOCR</a>、基于PP-LCNet的<a href="https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.md">文档图像方向分类模型</a></p>
|
||
</li>
|
||
</ul>
|
||
<h4 id="20247-paddleocr">🔥 2024.7 添加 PaddleOCR 算法模型挑战赛冠军方案：<a class="headerlink" href="#20247-paddleocr" title="Permanent link">¶</a></h4>
|
||
<div class="language-text highlight"><pre><span></span><code>- 赛题一：OCR 端到端识别任务冠军方案——[场景文本识别算法-SVTRv2](https://paddlepaddle.github.io/PaddleOCR/latest/algorithm/text_recognition/algorithm_rec_svtrv2.html)；
|
||
- 赛题二：通用表格识别任务冠军方案——[表格识别算法-SLANet-LCNetV2](https://paddlepaddle.github.io/PaddleOCR/latest/algorithm/table_recognition/algorithm_table_slanet.html)。
|
||
</code></pre></div>
|
||
<h4 id="2024510-ocr"><strong>🔥2024.5.10 上线星河零代码产线(OCR 相关)</strong><a class="headerlink" href="#2024510-ocr" title="Permanent link">¶</a></h4>
|
||
<p>全面覆盖了以下四大 OCR 核心任务，提供极便捷的 Badcase 分析和实用的在线体验</p>
|
||
<ul>
|
||
<li><a href="https://aistudio.baidu.com/community/app/91660">通用 OCR</a> (PP-OCRv4)。</li>
|
||
<li><a href="https://aistudio.baidu.com/community/app/91661">通用表格识别</a> (SLANet)。</li>
|
||
<li><a href="https://aistudio.baidu.com/community/app/91662">通用图像信息抽取</a> (PP-ChatOCRv2-common)。</li>
|
||
<li><a href="https://aistudio.baidu.com/community/app/70303">文档场景信息抽取</a> (PP-ChatOCRv2-doc)。</li>
|
||
</ul>
|
||
<p>同时采用了 <strong><a href="https://aistudio.baidu.com/pipeline/mine">全新的场景任务开发范式</a></strong> ,将模型统一汇聚，实现训练部署的零代码开发，并支持在线服务化部署和导出离线服务化部署包。</p>
|
||
<h4 id="202387-paddleocr-release27">🔥2023.8.7 发布 PaddleOCR <a href="https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.7">release/2.7</a><a class="headerlink" href="#202387-paddleocr-release27" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>发布<a href="./doc/doc_ch/PP-OCRv4_introduction.md">PP-OCRv4</a>，提供 mobile 和 server 两种模型<ul>
|
||
<li>PP-OCRv4-mobile：速度可比情况下，中文场景效果相比于 PP-OCRv3 再提升 4.5%，英文场景提升 10%，80 语种多语言模型平均识别准确率提升 8%以上</li>
|
||
<li>PP-OCRv4-server：发布了目前精度最高的 OCR 模型，中英文场景上检测模型精度提升 4.9%， 识别模型精度提升 2%
|
||
可参考<a href="./doc/doc_ch/quickstart.md">快速开始</a> 一行命令快速使用，同时也可在飞桨 AI 套件(PaddleX)中的<a href="https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286">通用 OCR 产业方案</a>中低代码完成模型训练、推理、高性能部署全流程</li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
<h4 id="202211-4-drrg-rfl-text-telescopecan">🔨<strong>2022.11 新增实现<a href="doc/doc_ch/algorithm_overview.md">4 种前沿算法</a></strong>：文本检测 <a href="doc/doc_ch/algorithm_det_drrg.md">DRRG</a>, 文本识别 <a href="doc/doc_ch/algorithm_rec_rfl.md">RFL</a>, 文本超分<a href="doc/doc_ch/algorithm_sr_telescope.md">Text Telescope</a>，公式识别<a href="doc/doc_ch/algorithm_rec_can.md">CAN</a><a class="headerlink" href="#202211-4-drrg-rfl-text-telescopecan" title="Permanent link">¶</a></h4>
|
||
<h4 id="202210-js-pp-ocrv3-43m-8-web-demo"><strong>2022.10 优化<a href="./deploy/paddlejs/README_ch.md">JS 版 PP-OCRv3 模型</a></strong>：模型大小仅 4.3M，预测速度提升 8 倍，配套 web demo 开箱即用<a class="headerlink" href="#202210-js-pp-ocrv3-43m-8-web-demo" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><strong>💥 直播回放：PaddleOCR 研发团队详解 PP-StructureV2 优化策略</strong>。微信扫描<a href="#开源社区">下方二维码</a>，关注公众号并填写问卷后进入官方交流群，获取直播回放链接与 20G 重磅 OCR 学习大礼包（内含 PDF 转 Word 应用程序、10 种垂类模型、《动手学 OCR》电子书等）</li>
|
||
</ul>
|
||
<h4 id="2022824-paddleocr-release26"><strong>🔥2022.8.24 发布 PaddleOCR <a href="https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6">release/2.6</a></strong><a class="headerlink" href="#2022824-paddleocr-release26" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li>发布<a href="./ppstructure/README_ch.md">PP-StructureV2</a>，系统功能性能全面升级，适配中文场景，新增支持<a href="./ppstructure/recovery/README_ch.md">版面复原</a>，支持<strong>一行命令完成 PDF 转 Word</strong>；</li>
|
||
<li><a href="./ppstructure/layout/README_ch.md">版面分析</a>模型优化：模型存储减少 95%，速度提升 11 倍，平均 CPU 耗时仅需 41ms；</li>
|
||
<li><a href="./ppstructure/table/README_ch.md">表格识别</a>模型优化：设计 3 大优化策略，预测耗时不变情况下，模型精度提升 6%；</li>
|
||
<li><a href="./ppstructure/kie/README_ch.md">关键信息抽取</a>模型优化：设计视觉无关模型结构，语义实体识别精度提升 2.8%，关系抽取精度提升 9.1%。</li>
|
||
</ul>
|
||
<h4 id="20228-ocr-svtr-9-ocr"><strong>2022.8 发布 <a href="./applications">OCR 场景应用集合</a></strong>：包含数码管、液晶屏、车牌、高精度 SVTR 模型、手写体识别等<strong>9 个垂类模型</strong>，覆盖通用，制造、金融、交通行业的主要 OCR 垂类应用<a class="headerlink" href="#20228-ocr-svtr-9-ocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="202259-paddleocr-v25">2022.5.9 发布PaddleOCR v2.5。发布内容包括<a class="headerlink" href="#202259-paddleocr-v25" title="Permanent link">¶</a></h4>
|
||
<ul>
|
||
<li><a href="./ppocr_introduction.md#pp-ocrv3">PP-OCRv3</a>，速度可比情况下，中文场景效果相比于PP-OCRv2再提升5%，英文场景提升11%，80语种多语言模型平均识别准确率提升5%以上；</li>
|
||
<li>半自动标注工具<a href="https://github.com/PFCCLab/PPOCRLabel">PPOCRLabelv2</a>：新增表格文字图像、图像关键信息抽取任务和不规则文字图像的标注功能；</li>
|
||
<li>OCR产业落地工具集：打通22种训练部署软硬件环境与方式，覆盖企业90%的训练部署环境需求</li>
|
||
<li>交互式OCR开源电子书<a href="./ocr_book.md">《动手学OCR》</a>，覆盖OCR全栈技术的前沿理论与代码实践，并配套教学视频。</li>
|
||
</ul>
|
||
<h4 id="202257-weights-biases">2022.5.7 添加对<a href="https://docs.wandb.ai/">Weights & Biases</a>训练日志记录工具的支持<a class="headerlink" href="#202257-weights-biases" title="Permanent link">¶</a></h4>
|
||
<h4 id="20211221-ocr1221-httpsaistudiobaiducomaistudiocourseintroduce25207">2021.12.21 《OCR十讲》课程开讲，12月21日起每晚八点半线上授课！ 【免费】报名地址：<a href="https://aistudio.baidu.com/aistudio/course/introduce/25207">https://aistudio.baidu.com/aistudio/course/introduce/25207</a><a class="headerlink" href="#20211221-ocr1221-httpsaistudiobaiducomaistudiocourseintroduce25207" title="Permanent link">¶</a></h4>
|
||
<h4 id="20211221-paddleocr-v24ocr1psenet3nrtrseedsar1sdmgr3docvqalayoutlmlayoutlmv2layoutxlm">2021.12.21 发布PaddleOCR v2.4。OCR算法新增1种文本检测算法（PSENet），3种文本识别算法（NRTR、SEED、SAR）；文档结构化算法新增1种关键信息提取算法（SDMGR），3种DocVQA算法（LayoutLM、LayoutLMv2，LayoutXLM）<a class="headerlink" href="#20211221-paddleocr-v24ocr1psenet3nrtrseedsar1sdmgr3docvqalayoutlmlayoutlmv2layoutxlm" title="Permanent link">¶</a></h4>
|
||
<h4 id="202197-paddleocr-v23pp-ocrv2cpupp-ocr-server220pp-ocr-mobile-7">2021.9.7 发布PaddleOCR v2.3，发布<a href="#PP-OCRv2">PP-OCRv2</a>，CPU推理速度相比于PP-OCR server提升220%；效果相比于PP-OCR mobile 提升7%<a class="headerlink" href="#202197-paddleocr-v23pp-ocrv2cpupp-ocr-server220pp-ocr-mobile-7" title="Permanent link">¶</a></h4>
|
||
<h4 id="202183-paddleocr-v22pp-structureexcel">2021.8.3 发布PaddleOCR v2.2，新增文档结构分析<a href="https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.2/ppstructure/README_ch.md">PP-Structure</a>工具包，支持版面分析与表格识别（含Excel导出）<a class="headerlink" href="#202183-paddleocr-v22pp-structureexcel" title="Permanent link">¶</a></h4>
|
||
<h4 id="2021629-faq5248">2021.6.29 <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.2/doc/doc_ch/FAQ.md">FAQ</a>新增5个高频问题，总数248个，每周一都会更新，欢迎大家持续关注<a class="headerlink" href="#2021629-faq5248" title="Permanent link">¶</a></h4>
|
||
<h4 id="202148-release-21aaai-2021pgnet80">2021.4.8 release 2.1版本，新增AAAI 2021论文<a href="https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.2/doc/doc_ch/pgnet.md">端到端识别算法PGNet</a>开源，<a href="https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.2/doc/doc_ch/multi_languages.md">多语言模型</a>支持种类增加到80+<a class="headerlink" href="#202148-release-21aaai-2021pgnet80" title="Permanent link">¶</a></h4>
|
||
<h4 id="20201215-style-text">2020.12.15 更新数据合成工具<a href="https://github.com/PFCCLab/StyleText/blob/main/README_ch.md">Style-Text</a>，可以批量合成大量与目标场景类似的图像，在多个场景验证，效果明显提升<a class="headerlink" href="#20201215-style-text" title="Permanent link">¶</a></h4>
|
||
<h4 id="20201207-faq5124">2020.12.07 <a href="../../doc/doc_ch/FAQ.md">FAQ</a>新增5个高频问题，总数124个，并且计划以后每周一都会更新，欢迎大家持续关注<a class="headerlink" href="#20201207-faq5124" title="Permanent link">¶</a></h4>
|
||
<h4 id="20201125-ppocrlabelpp-ocr">2020.11.25 更新半自动标注工具<a href="https://github.com/PFCCLab/PPOCRLabel/blob/main/README_ch.md">PPOCRLabel</a>，辅助开发者高效完成标注任务，输出格式与PP-OCR训练任务完美衔接<a class="headerlink" href="#20201125-ppocrlabelpp-ocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020922-pp-ocrhttpsarxivorgabs200909941">2020.9.22 更新PP-OCR技术文章，<a href="https://arxiv.org/abs/2009.09941">https://arxiv.org/abs/2009.09941</a><a class="headerlink" href="#2020922-pp-ocrhttpsarxivorgabs200909941" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020919-ppocr_mobile_slim35mpp-ocr-pipeline">2020.9.19 更新超轻量压缩ppocr_mobile_slim系列模型，整体模型3.5M(详见PP-OCR Pipeline)，适合在移动端部署使用<a class="headerlink" href="#2020919-ppocr_mobile_slim35mpp-ocr-pipeline" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020917-ppocr_mobileppocr_serverocr">2020.9.17 更新超轻量ppocr_mobile系列和通用ppocr_server系列中英文ocr模型，媲美商业效果<a class="headerlink" href="#2020917-ppocr_mobileppocr_serverocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020917">2020.9.17 更新<a href="./models_list.md#english-recognition-model">英文识别模型</a>和<a href="./models_list.md#english-recognition-model">多语种识别模型</a>，已支持<code>德语、法语、日语、韩语</code>，更多语种识别模型将持续更新<a class="headerlink" href="#2020917" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020826-ocr84faq">2020.8.26 更新OCR相关的84个常见问题及解答，具体参考<a href="FAQ.html">FAQ</a><a class="headerlink" href="#2020826-ocr84faq" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020824-whlpaddleocrpaddleocr-package">2020.8.24 支持通过whl包安装使用PaddleOCR，具体参考<a href="https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/whl.md">Paddleocr Package使用说明</a><a class="headerlink" href="#2020824-whlpaddleocrpaddleocr-package" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020821-818bppt2ocr">2020.8.21 更新8月18日B站直播课回放和PPT，课节2，易学易用的OCR工具大礼包，<a href="https://aistudio.baidu.com/aistudio/education/group/info/1519">获取地址</a><a class="headerlink" href="#2020821-818bppt2ocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020816-sastsrn">2020.8.16 开源文本检测算法<a href="https://arxiv.org/abs/1908.05498">SAST</a>和文本识别算法<a href="https://arxiv.org/abs/2003.12294">SRN</a><a class="headerlink" href="#2020816-sastsrn" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020723-721bppt1paddleocr">2020.7.23 发布7月21日B站直播课回放和PPT，课节1，PaddleOCR开源大礼包全面解读，<a href="https://aistudio.baidu.com/aistudio/course/introduce/1519">获取地址</a><a class="headerlink" href="#2020723-721bppt1paddleocr" title="Permanent link">¶</a></h4>
|
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<h4 id="2020715-easyedgepaddle-litedemoiosandroid">2020.7.15 添加基于EasyEdge和Paddle-Lite的移动端DEMO，支持iOS和Android系统<a class="headerlink" href="#2020715-easyedgepaddle-litedemoiosandroid" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020715-cocrbenchmark">2020.7.15 完善预测部署，添加基于C++预测引擎推理、服务化部署和端侧部署方案，以及超轻量级中文OCR模型预测耗时Benchmark<a class="headerlink" href="#2020715-cocrbenchmark" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020715-ocr">2020.7.15 整理OCR相关数据集、常用数据标注以及合成工具<a class="headerlink" href="#2020715-ocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="202079">2020.7.9 添加支持空格的识别模型，识别效果，预测及训练方式请参考快速开始和文本识别训练相关文档<a class="headerlink" href="#202079" title="Permanent link">¶</a></h4>
|
||
<h4 id="202079_1">2020.7.9 添加数据增强、学习率衰减策略,具体参考<a href="./config.md">配置文件</a><a class="headerlink" href="#202079_1" title="Permanent link">¶</a></h4>
|
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<h4 id="202068">2020.6.8 添加<a href="dataset/datasets.md">数据集</a>，并保持持续更新<a class="headerlink" href="#202068" title="Permanent link">¶</a></h4>
|
||
<h4 id="202065-attetnion-inference_model">2020.6.5 支持 <code>attetnion</code> 模型导出 <code>inference_model</code><a class="headerlink" href="#202065-attetnion-inference_model" title="Permanent link">¶</a></h4>
|
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<h4 id="202065">2020.6.5 支持单独预测识别时，输出结果得分<a class="headerlink" href="#202065" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020530-ocr">2020.5.30 提供超轻量级中文OCR在线体验<a class="headerlink" href="#2020530-ocr" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020530-windows">2020.5.30 模型预测、训练支持Windows系统<a class="headerlink" href="#2020530-windows" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020530-ocr_1">2020.5.30 开源通用中文OCR模型<a class="headerlink" href="#2020530-ocr_1" title="Permanent link">¶</a></h4>
|
||
<h4 id="2020514-paddleocr">2020.5.14 发布<a href="https://www.bilibili.com/video/BV1nf4y1U7RX?p=4">PaddleOCR公开课</a><a class="headerlink" href="#2020514-paddleocr" title="Permanent link">¶</a></h4>
|
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<h4 id="2020514-paddleocr_1">2020.5.14 发布<a href="https://aistudio.baidu.com/aistudio/projectdetail/467229">PaddleOCR实战练习</a><a class="headerlink" href="#2020514-paddleocr_1" title="Permanent link">¶</a></h4>
|
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<h4 id="2020514-86mocr">2020.5.14 开源8.6M超轻量级中文OCR模型<a class="headerlink" href="#2020514-86mocr" title="Permanent link">¶</a></h4>
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