OpenEXR
tesseract-ocr
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OpenEXR | tesseract-ocr | |
---|---|---|
10 | 120 | |
1,576 | 57,866 | |
1.3% | 1.8% | |
9.2 | 8.9 | |
6 days ago | 8 days ago | |
C | C++ | |
BSD 3-clause "New" or "Revised" 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.
OpenEXR
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The `exr` crate got up to 3x faster, even better performance coming soon
exr is a is a 100% Rust and 100% safe code library for reading and writing OpenEXR images. It is used by the popular image crate to read and write OpenEXR.
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Convert OpenEXR file compression method in Python
OpenEXR main house (English)
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Reading compressed EXR scan-line files by loading one scanline at a time into memory
OpenEXR notes two Python options: openexrpython and OpenImageIO.
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Any alternatives to Slimraw?
I have not tested it, but it seems like OpenEXR https://www.openexr.com/ is an alternative to Slimraw
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HELP! Rendered over 100frames over night and ended up with unmerged AOVs. Is there anyway I can merge all of these manually into a sequence? "Merge AOVs" (and all other settings that normally work were turned on). I've managed to fix settings, my biggest concern is salvaging these frames.
Since its already rendered, you can check the beauty pass to see if it is already in a merged format. Change the extension to .exr and open it with EXR-IO https://www.exr-io.com/ in photoshop to see if your AOVs exist as layered data already. Depends on your settings of course if its in that format. Otherwise you will need to script the merge using some openexr tools available at https://www.openexr.com.
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Ask HN: Do you still use TIFF image format?
Visual Effects artist here. Nope. We're all on EXRs mainly (and of course JPGs)
https://www.openexr.com/
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How should CMAKE_CXX_FLAGS be formated in CMAKE GUI?
Forgive the noob question (but that's what I am when it comes to CMAKE :D), but I'm currently trying to build Imathto use it with OpenEXR.
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Problems building Natron 2.4
It looks like openexr has recently removed IlmBase: https://github.com/AcademySoftwareFoundation/openexr/pull/929
- PyTorch ImportError: libIlmImf-2_5.so.25
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Why is some private company's niche image format being pushed out as a universal Ubuntu update??
Well, OpenEXR is open-source. It's not as though they're trying to turn a profit from it. People don't have to use it if they don't want.
tesseract-ocr
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one of the Codia AI Design technologies: OCR Technology
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
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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OCR text to speech for disability
It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract
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Marker: Convert PDF to Markdown quickly with high accuracy
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.
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How to Read Text From an Image with Python
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.
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OpenAI is too cheap to beat
> Does android even have native OCR?
Tesseract? https://github.com/tesseract-ocr/tesseract
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So You Decided to Extract Recipe Text From Scans of Your Grandpa's Old Cookbook Using Pytesseract (+ My Grandma's Fig Cake Recipe) (+ Hidden Recipes To Be Found)
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.
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I used Node.js to OCR "Meme Monday" threads
OCR detection will be done with Tesseract.
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How to ingest image based PDFs into private GPT model?
I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract
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What should I use to take notes in college?
If you go this route, then using an app that can convert your handwritten notes to a digital format (indexed text), will give you a good balance between cognitive processing and efficient data storage/management; you can likely find many such apps on the App Store or Google Play. If you're interested in something more hands-on, on Arch you can probably experiment with Tesseract OCR in an interesting way (Example).
What are some alternatives?
OpenCV - Open Source Computer Vision Library
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)
OpenImageIO - Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
pytesseract - A Python wrapper for Google Tesseract
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
libvips - A fast image processing library with low memory needs.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
Face Recognition - The world's simplest facial recognition api for Python and the command line