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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! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html
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    Downloads: 17,557 This Week
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  • 2
    Grbl Overseer

    Grbl Overseer

    A control software for GRBL-powered milling machines

    Downloads: 3 This Week
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  • 3

    ezSIFT

    An easy-to-use standalone SIFT library written in C/C++

    ...These dependencies make the installation, compilation and usage not easy. The ezSIFT library provides a standalone and lightweight SIFT implementation written in C/C++. The ezSIFT is self-contained, and does not require any other libraries. So it is easy to use and modify. Besides, the implementation of the ezSIFT is straightforward and easy to read. Wiki page: https://sourceforge.net/p/ezsift/wiki/
    Downloads: 0 This Week
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  • 4
    MQModBus

    MQModBus

    ModBus for Mobile Platforms

    QModBus port to Android/Symbian using Qt4/Ministro libraries, uses libmodbus and qledmatrix
    Downloads: 0 This Week
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    Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
    Downloads: 0 This Week
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  • 6
    TacitPixel is a scalable C++ framework for building application prototypes for interactive collaborative VR/AR applications. It provides a number of features that make prototyping fast and portable. TacitPixel is the successor of the TAP and Twisted Pair engines.
    Downloads: 0 This Week
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  • 7

    MMUAVC

    A Multimodal approach to control a Unmanned Aerial Vehicle

    Welcome to Multimodal Unmanned Aerial Vehicle Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling a QuadRotor UAV efficiently and more easily. During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize...
    Downloads: 0 This Week
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