forte
EasyOCR
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| forte | EasyOCR | |
|---|---|---|
| 2 | 38 | |
| 236 | 21,882 | |
| 0.4% | 3.1% | |
| 3.9 | 4.6 | |
| 3 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
forte
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[P] How Forte Transforms the Building of ML Solutions with PyTorch into Assembly Lines
Github: https://github.com/asyml/forte Documentation: https://asyml-forte.readthedocs.io/en/latest Technical Report: https://aclanthology.org/2020.emnlp-demos.26/
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Building Modular and Re-purposable NLP Pipelines
Introducing Forte, from the CASL open-source project at Petuum. Forte combines multiple NLP tools to construct an entire NLP pipeline with a few lines of python and extend them to different domains.
EasyOCR
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
- OCR a lot of hand written invoice and records?
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[P] EasyOCR in C++!
I just uploaded my C++ implementation of EasyOCR, a well known ocr library for python. Also dusted some cobwebbs from some audio related projects as well, feel free to leave feedback or contribute! I only implemented the most salient parts, so certainly could use some community help! Cheers!
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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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Donut: OCR-Free Document Understanding Transformer
The main one was https://github.com/JaidedAI/EasyOCR, mostly because, as promised, it was pretty easy to use, and uses pytorch (which I preferred in case I wanted to tweak it). It has been updated since, but at the time it was using CRNN, which is a solid model, especially for the time - it wasn't (academic) SOTA but not far behind that. I'm sure I could've coaxed better performance than I got out of it with some retraining and hyperparameter tuning.
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Help with OCR of pixel-y numbers
Anyways, you can give a shot to EasyOCR, pretty solid and flexible
- How to perform document OCR?
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Python unexpectedly quits (macOS ventura, M1)
The easyocr library: https://github.com/JaidedAI/EasyOCR
- I made a website for a friend who owns a restaurant. He's wondering if there's a way to upload a picture of his menu daily. What is the best way to do this?
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Raspberry Pi Easyocr
Not used it on a Pi but maybe a Docker version (if there is one) would run? Compose file here
What are some alternatives?
DialoGPT - Large-scale pretraining for dialogue
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
nlp-recipes - Natural Language Processing Best Practices & Examples
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
GODEL - Large-scale pretrained models for goal-directed dialog
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
OpenCV - Open Source Computer Vision Library
fondant - Production-ready data processing made easy and shareable
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
tesserocr - A Python wrapper for the tesseract-ocr API
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.