Showing 3 open source projects for "image search algorithm"

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    Osenpa Clipboard Manager

    Osenpa Clipboard Manager

    Search, organize and reuse clipboard history on Windows

    Current official release: 2.0.2. Windows 10 2004+ or Windows 11 (x64). Osenpa Clipboard Manager is a free, closed-source Windows app for finding and reusing supported text, links, images and file references copied on your PC. Search local history, organize Favorites, pins, tags and Smart Collections, and arrange sequential pastes with Clipboard Stack. Locked Notes encrypts selected text; ordinary clipboard history is not encrypted. Retention is configurable, and privacy filters start off....
    Downloads: 0 This Week
    Last Update:
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  • 2
    Smart-Clipboard

    Smart-Clipboard

    Free Windows clipboard manager with Clipboard Peek and Smart Paste

    ... 🛡️ v1.3.2 — Rebuilt exe, VirusTotal score improved from 35/70 to 3/70 🆕 v1.3.1 — Performance fix: launcher now uses virtual scrolling and stays smooth with 200+ clips. Touchpad fix: two finger pinch-to-zoom no longer accidentally opens the app. Bulk delete now registers instantly. ✨ v1.3.0 — Smarter search: type "template", "hotkey" or any tag to filter instantly. Image zoom in Peek: scroll to zoom, drag to pan. Source app detection: see which app each clip came from. Silent startup and major bug fixes. 👀 Clipboard Peek — hold Ctrl+Shift to preview without losing focus 🕐 Time Machine — clips grouped by work session ✨ Smart Paste — transform text before pasting ⚡ Quick-paste launcher — Ctrl+Shift+V from anywhere 🔒 Private mode — nothing saved to disk 🎯 Hotkey clips — Ctrl+Shift+1–9 for instant paste
    Downloads: 5 This Week
    Last Update:
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  • 3
    qiji-font

    qiji-font

    Typeface from Ming Dynasty woodblock printed books

    ...Download high-resolution PDFs and split pages into images. Manually lay a grid on top of each page to generate bounding boxes for characters (potentially replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest.
    Downloads: 0 This Week
    Last Update:
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