PaddleOCR
Hangfire
PaddleOCR | Hangfire | |
---|---|---|
60 | 62 | |
39,047 | 9,091 | |
3.6% | 1.3% | |
8.7 | 9.4 | |
3 days ago | about 1 month ago | |
Python | C# | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
PaddleOCR
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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What is the best repo for hand written text recognition?
My default recommendation for OCR is https://github.com/PaddlePaddle/PaddleOCR but most of the examples there are not handwritten - so I'm not sure how well it'll handle it this time.
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Ask HN: Best way to perform complex OCR task in 2023?
Other than EasyOCR and Tesseract, PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) is probably the most well known open-source OCR solution.
What are you planning to do with the text after detecting / recognizing it? How fast does the detection / recognition need to be in order to be useful?
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Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM
Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:
- https://github.com/mindee/doctr
- https://github.com/open-mmlab/mmocr
- https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)
- https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)
- yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text
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How would you go about driving contextual data from images?
For images with text, if you want to do visual qa, document classification, table/key information extraction, checkout https://huggingface.co/blog/document-ai https://github.com/philschmid/document-ai-transformers https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/README.md
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OCR at Edge on Cloudflare Constellation
EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).
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Seeking Advice for Improving OCR Accuracy in a Code Snippet Reader Project
I think you can train tesseract with custom data if you have enough, or you can use deep learning models like https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning or https://www.google.com/amp/s/nanonets.com/blog/attention-ocr-for-text-recogntion/amp/ or try other existing tools like paddle-ocr https://github.com/PaddlePaddle/PaddleOCR
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How do you parse tables in PDF with langchain? Especially, the context which is few lines above and below the table.
https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md
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unable to install paddleocr on m1 mac
when following the installation commands present in the paddleocr repo(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md) im still unable to install paddleocr. paddlepaddle is successfully installed on my m1 mac with python3.9.16 but while installing paddleocr im getting this error after long pip backtracking
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Donut: OCR-Free Document Understanding Transformer
When I was evaluating options a few months ago I found https://github.com/PaddlePaddle/PaddleOCR to be a very strong contender for my use case (reading product labels), but you'll definitely want to put together some representative docs/images and test a bunch of solutions to see what works for you.
Hangfire
- Hangfire – Background Processing in .NET and .NET Core Applications
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Deno Cron
Unpopular opinion incoming... What I see is yet another way that the backend JS world is finally achieving something .NET had years ago[0].
Node/Deno/Bun/etc. + npm sounds super straightforward at first glance (and it is at first). But I've thought for years that it's far easier to be productive as an organization on .NET in Visual Studio, since it's simpler to design, deliver, and maintain infrastructure.
[0] https://www.hangfire.io/
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Boosting Productivity with HangFire: Streamlining Background Job Processing
you can read about it here HangFire Documentation
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How do you save a file at the end of the day within a function that is only called at certain times?
I mostly work in .NET, and typically use Hangfire, but all languages has similar frameworks
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What can I use as a simple message bus with persistence in .NET?
Its hard to tell what tool would be a best fit without more information, but I would suggest looking at Hangfire for background job processing: https://www.hangfire.io/
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Event Bus + Job APIs
You might want to look at https://www.hangfire.io/. Their docs explain how to set up queues: https://docs.hangfire.io/en/latest/background-processing/configuring-queues.html
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Background Job Scheduling in .NET using Hangfire
In this article we looked at how to use Hangfire to schedule background jobs in ASP.NET according to our requirements. In a follow up article, I will talk about using Hangfire with a Redis storage. To learn more about Hangfire, you can visit the official website.
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BackgroundService in .Net Core
Easy to understand if you want to implement your own background service. If you want a more easy and complete tool you can use hangfire.
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Is there anything like this in C#?
Try https://www.hangfire.io/
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Help in creating a new Service
If, as you stated, you really need to use your own servers, that seems exactly like a job for Hangfire.
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
QuartzNet - Quartz Enterprise Scheduler .NET
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
RabbitMQ.NET - RabbitMQ .NET client for .NET Standard 2.0+ and .NET 4.6.2+
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
MassTransit - Distributed Application Framework for .NET
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
Coravel - Near-zero config .NET library that makes advanced application features like Task Scheduling, Caching, Queuing, Event Broadcasting, and more a breeze!
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Kafka Client
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
FluentScheduler - Automated job scheduler with fluent interface for the .NET platform.