Search Results for "one-wire"
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Showing 7 open source projects for "one-wire"
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The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video. It provides two main features: 1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions. 2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing. For working of this program on Windows will be required "Microsoft Visual C++ Redistributable runtime libraries 2022": https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Latest versions were built and tested on: Windows 10 x64, Ubuntu 20.04.5 LTS, openSUSE Leap 15.4, Arch Linux (EndeavourOS Cassini Nova 03-2023) For faster support in case of bug fixes please contact me in: https://vk.com/skosnits For donate: https://sourceforge.net/projects/videosubfinder/donate
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gImageReader
A graphical frontend to tesseract-ocr
gImageReader is a simple Gtk/Qt front-end to tesseract. Features include: - Import PDF documents and images from disk, scanning devices, clipboard and screenshots - Process multiple images and documents in one go - Manual or automatic recognition area definition - Recognize to plain text or to hOCR documents - Recognized text displayed directly next to the image - Post-process the recognized text, including spellchecking - Generate PDF documents from hOCR documents **Note**: This page is only a mirror for the downloads. Development is happening on github at https://github.com/manisandro/gImageReader, release binaries are also posted there. -
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Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
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PIOCR is a C++ open source OCR library. PIOCR provides provides all the functionality needed to successfully classify an english letter character from an image.
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It's a dumb, but lightning fast OCR engine, not using any fancy math to recognize text from screenshots. Aim to recognize 100% of text from screenshot, even if image is affected by jpeg compression or text is affected by antialiasing.
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