EasyOCR
binaryen
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EasyOCR | binaryen | |
---|---|---|
38 | 14 | |
21,882 | 7,099 | |
3.1% | 1.7% | |
4.6 | 9.8 | |
30 days ago | 7 days ago | |
Python | WebAssembly | |
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.
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
binaryen
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Bring garbage collected programming languages efficiently to WebAssembly
The Binaryen wasm optimizer (mentioned in the article) is always open for contributions,
https://github.com/WebAssembly/binaryen
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Random Testing of WebAssembly Implementations Using Semantically Valid Programs
The end of the related work section cites both wasm-smith and the Binaryen fuzzer (https://github.com/WebAssembly/binaryen/wiki/Fuzzing) and says, "They both provide a fuzzer that turns a stream of bytes into a WebAssembly module in order to test implementations. Their fuzzers always generate semantically valid test cases, but lack the targeting and tuning that Xsmith provides."
I look forward to reading more about how they do the targeting and tuning.
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Web assembly book?
Binaryen or the LLVM of wasm: https://github.com/WebAssembly/binaryen
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You can reduce web build file size by 4mb by using Binaryen
Download Binaryen
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What's the best way to generate WASM programmatically?
Probably https://github.com/WebAssembly/binaryen/, there were various rust bindings to it.
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Build a WebAssembly Language for Fun and Profit: Code Generation
The final phase of our compiler is code generation. This phase takes the AST and converts it to a set of executable instructions. In our case, WebAssembly. To accomplish this, we are going to use a popular WebAssembly compiler toolchain called binaryen.
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Build a WebAssembly Language for Fun and Profit: Lexing
In this guide, we will be using TypeScript and NodeJS. The concepts are highly portable, so feel free to use the environment you're most comfortable with. Our only major dependency, binaryen, has a simple C API. You are welcome to skip ahead to the next section if you're using a different language.
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Rust and WebAssembly without a Bundler
What are the size and performance benefits of processing the Wasm payload with wasm-opt?
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Is WebAssembly Text (WAT) Just Another IR?
I would recommend looking into binaryen as it has it's own IR and can perform optimizations over it. It's also simpler than LLVM and has the option to produce binaries with debug names.
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What are the advantages or disadvantages of compiling to VM Bytecode vs native machine code?
You can also use binaryen to optimize your wasm output
What are some alternatives?
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)
wasm-bindgen - Facilitating high-level interactions between Wasm modules and JavaScript
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
wasi-sdk - WASI-enabled WebAssembly C/C++ toolchain
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
wasi-libc - WASI libc implementation for WebAssembly
OpenCV - Open Source Computer Vision Library
asyncify - Standalone Asyncify helper for Binaryen
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
workers-wasi
tesserocr - A Python wrapper for the tesseract-ocr API
rusqlite - Ergonomic bindings to SQLite for Rust