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### Describe your problem
Can you tell me the table structure recognition (TSR) algorithm and the open source address? It's a great job.
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In general, `Zero` is a bit too eager recognizing the content of a cell as a number. While non-text content is (as intended) never interpreted as a number, plain text usually is.
For example `[Tex…
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**Bug** 💥
When I try to reproduce the experiment described in docs/tutorials/table_recognition_eval.md, it seemed that the code needed updating. I modify some of the code, but get an error:
![image]…
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My need is to fine-tune this **table-structure-recognition model**, but at the moment I **only have some images** and don't know what to do with them. Which tools should I use to process these images …
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As I've been working with your software, I've come across a couple of questions that I hope you might be able to help with:
1) Language Localization: Is it possible to add or modify the language lo…
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### Check for existing issues
- [X] Completed
### Describe the feature
As you can see on zed the name of the table is the same color as the key, even if the theme changes it remains the same …
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I can only find DocGenome dataset, is table recognition trained on this dataset?
Thank you!
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ImportError: libcudart.so.10.1: cannot open shared object file: No such file or directory
Would you please tell me about how to deal with this mistake?
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Is there a way to straight construct the table structure (given that I have detected where's the table)?
Any sample code for this?
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Unitable is a powerful recognition tool, but I want to train table content recognition that supports other languages. Have any good suggestions or opinions?