Showing 4 open source projects for "python imaging library"

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    OpenCV

    OpenCV

    Open Source Computer Vision Library

    The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials!
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    Downloads: 2,525 This Week
    Last Update:
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  • 2
    H9A

    H9A

    H9A counts how many times a digit appears in any range, instantly.

    H9A is an installable Python package that counts how many times a given digit appears in a range of numbers (by default: the digit 9 between 1 and 100). It provides both a h9a command-line tool and an importable library, and it prints each step of the calculation — the per-place counts and the combined total — as styled, colorized output. It is built with rich for console formatting, pyfiglet for an ASCII-art banner, and Pillow for optional terminal-style screenshots.
    Downloads: 1 This Week
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  • 3
    DSpice

    DSpice

    DSpice: Design and Simulation of Circuits using Spice

    What is DSPICE? DSpice (Designing Circuits and Simulation by SPICE) is an open-source tool designed to streamline the modeling of analog components and the simulation of electronic circuits. It leverages ngspice (the open-source successor to the classic SPICE engine) as its core simulation backend. The main objectives and features of DSpice are: . Custom Modeling: Creating new SPICE models for various electrical components. . Symbol Design: Designing and managing custom schematic...
    Downloads: 18 This Week
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  • 4
    Advanced Division

    Advanced Division

    Divide numbers with recurring decimals

    Library / application for dividing numbers with recurring decimals. Written in JavaScript, Python and Dart. Learn more: https://advdiv.ratajs.cz/ Installation instructions: https://sourceforge.net/projects/advanced-division/files/
    Downloads: 0 This Week
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