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' (by fpv-iplab)
layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis (by Layout-Parser)
| DA-RetinaNet | layout-parser | |
|---|---|---|
| 2 | 6 | |
| 59 | 4,476 | |
| - | 2.1% | |
| 6.1 | 0.0 | |
| 5 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DA-RetinaNet
Posts with mentions or reviews of DA-RetinaNet.
We have used some of these posts to build our list of alternatives
and similar projects.
- Detectron2 Da-RetinaNet, Unsupervised Domain Adaptation for object detection
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Detectron2 DA-RetinaNet
Link to the repo DA-RetinaNet: https://github.com/fpv-iplab/DA-RetinaNet
layout-parser
Posts with mentions or reviews of layout-parser.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-06.
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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
What are some alternatives?
When comparing DA-RetinaNet and layout-parser you can also consider the following projects:
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.