layout-parser
GDR-Net
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layout-parser | GDR-Net | |
---|---|---|
6 | 1 | |
4,426 | 241 | |
3.0% | 3.3% | |
0.0 | 3.1 | |
about 1 month ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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layout-parser
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Crates for converting PDF's into Markdown
I built my own solution using a combination of Tesseract and OpenCV (in python). But even though the source PDF content is computer generated, I still get sporadic OCR errors. After writing my solution, I came across this https://github.com/Layout-Parser/layout-parser which might be a better starting point for dealing with PDFs but I haven't tried it yet.
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OCR help required
This sound more like a layout parking issue. Look at Layout Parser, it has helped me on many occasions when I was battling to extract info from PDF documents.
- Amateur programmer here. Will Rust be used in backend for software in the future?
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Extract text from PDF
One of the tools I'm excited about (but haven't used in production) is LayoutParser. It's open-source, and can do some document image analysis especially on non-generic docs.
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Document Classification
One project that I saw not to long ago which might be useful is this: https://github.com/Layout-Parser/layout-parser
- A Python Library for Document Layout Understanding
GDR-Net
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Extending the Linemod dataset
I found a model on github that I'd like to use in my project but I'm experiencing difficulties extending the linemod dataset with additional classes to adapt it to my needs. Is there a tutorial I can read somewhere on how to do it ?
What are some alternatives?
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shabby-pages - ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
pdf-extract - A rust library for extracting content from pdfs
DA-RetinaNet - Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
mexican-government-report - Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.