omr VS tesseract-ocr

Thank you.

There is also OMR

https://github.com/eclipse/omr

but I'm not sure how powerful that is.

I started writing a simple multithreaded interpreter that processes an imaginary assembly. Here's a program in that imaginary assembly that sends integers to other threads and then sends a jump instruction to another thread to jump to some code.

  threads 25

I am interested in this too. I would do different tradeoffs. I am more interested in optional garbage collection, the parallelism and async story in the language such as threading and coroutines or both together.

I suspect combining garbage collection, exceptions, closures, tail call optimisation, parallelism, JIT compilation and coroutines is difficult to do orthogonally.

On eatonphil's discord someone recently shared this link: This is a framework for building high performance language runtimes

https://github.com/eclipse/omr

I am currently implementing a programming language and compiler and interpreter in my multiversion-concurrency-control repository.

https://github.com/samsquire/multiversion-concurrency-contro...

Git Crash Course by eclipse/omr project at github.com

I like this part "We continue to employ dozens of developers that work directly and openly in the Eclipse OMR and Eclipse OpenJ9 projects at GitHub. IBM doesn’t produce a separate enterprise version of OpenJ9; we don’t hold back any of the innovation in our runtime."

We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.

You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract

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

It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract

Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it:

https://github.com/tesseract-ocr/tesseract/releases

I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.

Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images.

> Does android even have native OCR?

Tesseract? https://github.com/tesseract-ocr/tesseract

Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.

OCR detection will be done with Tesseract.

I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract