EasyOCR VS python-mss

PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]

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!

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).

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.

Anyways, you can give a shot to EasyOCR, pretty solid and flexible

The easyocr library: https://github.com/JaidedAI/EasyOCR

Not used it on a Pi but maybe a Docker version (if there is one) would run? Compose file here

VidGear provides an easy-to-use, highly extensible, Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance.

I'm using a python library called mss https://github.com/BoboTiG/python-mss

You can use PyGetWindow to get the info of a window based on its name, and then use your screenshot library of choice to get that part of the screen (personally I use mss because it’s fast and cross-platform).

mss can do this efficiently and cross-platform. What’s the use-case?

That was one of the main reasons I made my library pythonic-cv - I had solved the problem once (not super well), and realised I was going to have to do it again repeatedly, and thought that was a waste of time. While I was at it I added some additional nice features like iterating over a camera/video stream, using a context manager to handle cleaning it up/releasing it afterwards, and convenient processing and threaded recording loops. I've recently also added mss integration so you can use your screen as a video input in the same way as a camera or video file.

You may also want to consider using mss for taking screenshots efficiently, which allows specifying the screen region you want when taking the screenshot. It has OpenCV/numpy support.

That error shouldn't be happening, and is most likely some kind of error in mss. If you haven't already, I'd suggest trying to update your mss (e.g. python3 -m pip install --upgrade mss, and if that doesn't help then you should create an Issue on the GitHub page, mentioning your OS and what you're doing that's causing that error.

If you’re after speed I’d recommend mss for screenshots/recording, and tesserocr instead of pytesseract (note in particular the OpenCV option.

Your blog post claims to do image preprocessing with pyautogui, but I couldn’t find any image processing steps? Also, if you’re only using pyautogui to take screenshots, you might want to look at a library like mss, which is more efficient and also has support for multiple monitors :-)