Search Results for "one plus"
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Showing 7 open source projects for "one plus"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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...
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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**:... -
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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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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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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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