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chore: fix md read
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README.md

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@@ -190,7 +190,7 @@ html, elasp, polygons, logic_points, ocr_res = lineless_table_rec(
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下载更高精度的ocr模型,在执行时传入ocr_result即可,
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- 或者尝试调节rapid_ocr的参数, 根据在线demo调节参数, [modelscope](https://www.modelscope.cn/studios/liekkas/RapidOCRDemo/summary) [huggingface](https://huggingface.co/spaces/SWHL/RapidOCRDemo)
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然后在推理时传入即可
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2**问:文档扭曲变形怎么处理?**
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2. **问:文档扭曲变形怎么处理?**
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- 答:使用 [RapidUnwrap](https://github.com/Joker1212/RapidUnWrap)
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3. **问:模型支持 gpu 加速吗?**
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- 答:目前表格模型的推理非常快,有线表格在100ms级别,无线表格在500ms级别,

README_en.md

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### Processing Workflow
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```mermaid
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A[/Table Image/] --> B([Table Classification table_cls]) B --> C([Wired Table Recognition wired_table_rec]) & D([Wireless Table Recognition lineless_table_rec]) --> E([Text Recognition rapidocr_onnxruntime]) E --> F[/HTML Structured Output/]
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flowchart TD
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A[/table image/] --> B([table cls table_cls])
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B --> C([wired_table_rec]) & D([lineless_table_rec]) --> E([rapidocr_onnxruntime])
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E --> F[/html output/]
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```
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### Acknowledgments

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