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README.md

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[English](README_en.md) | 简体中文
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</div>
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### 最近更新
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- **2024.11.16**
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- 补充文档扭曲矫正方案,可作为前置处理 [RapidUnwrap](https://github.com/Joker1212/RapidUnWrap)
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### 最近更新
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- **2024.11.22**
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- 支持单字符匹配方案,需要RapidOCR>=1.4.0
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- **2024.11.28**
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- wiredV2模型提升对轻度旋转表格识别准确率,参见[输入参数](#核心参数)
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- wiredV2模型提升对轻度旋转表格识别准确率,参见[输入参数](#核心参数)
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- **2024.12.25**
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- 补充文档扭曲矫正/去模糊/去阴影/二值化方案,可作为前置处理 [RapidUnDistort](https://github.com/Joker1212/RapidUnWrap)
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### 简介
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💖该仓库是用来对文档中表格做结构化识别的推理库,包括来自阿里读光有线和无线表格识别模型,llaipython(微信)贡献的有线表格模型,网易Qanything内置表格分类模型等。\

README_en.md

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</div>
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### Recent Updates
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- **2024.11.12**
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- Extracted model recognition and processing core thresholds for easier fine-tuning according to specific scenarios. See [Core Parameters](#core-parameters).
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- **2024.11.16**
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- Added document distortion correction solution, which can be used as a pre-processing step [RapidUnWrap](https://github.com/Joker1212/RapidUnWrap)
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- **2024.11.22**
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- Support Char Rec, RapidOCR>=1.4.0
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- **2024.12.25**
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- Add document preprocessing solutions for distortion correction, deblurring, shadow removal, and binarization. [RapidUnDistort](https://github.com/Joker1212/RapidUnWrap)
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### Introduction
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💖 This repository serves as an inference library for structured recognition of tables within documents, including models for wired and wireless table recognition from Alibaba DulaLight, a wired table model from llaipython (WeChat), and a built-in table classification model from NetEase Qanything.
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