awesome-colab-notebooks
EasyOCR
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| awesome-colab-notebooks | EasyOCR | |
|---|---|---|
| 5 | 38 | |
| 1,205 | 21,882 | |
| - | 3.1% | |
| 5.3 | 4.6 | |
| 25 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | 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.
awesome-colab-notebooks
- AI Chatbot learning resources
- Collection of colaboratory notebooks for fast and easy ML experiments
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I made this video without a camera, and 100% with machine learning based off of the song lyrics.
For example, I just googled and found this great repo of ML links specifically for colab, check it out! https://github.com/amrzv/awesome-colab-notebooks
- Text-to-Image recursive zoom
- StyleGAN2-ada
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?
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
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)
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
colabctl - Google Colaboratory background/task executioner & controller.
OpenCV - Open Source Computer Vision Library
Speech-enhancement - Deep learning for audio denoising
tesserocr - A Python wrapper for the tesseract-ocr API
glide-text2im-colab - Colab notebook for openai/glide-text2im.
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.