Showing 3 open source projects for "Dependency"

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  • 1
    RtspSimpleServer

    RtspSimpleServer

    ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy

    ...Run external commands when clients connect, disconnect, read or publish streams. Natively compatible with the Raspberry Pi Camera. Compatible with Linux, Windows and macOS, does not require any dependency or interpreter.
    Downloads: 49 This Week
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  • 2
    AspeQT-2K26 (formerly AspeQT/RespeQt)

    AspeQT-2K26 (formerly AspeQT/RespeQt)

    A modernized Atari 8-bit SIO emulator ported to Qt 6 with native TNFS

    Note - Active development, issue tracking, and source code have moved to GitHub: https://github.com/pjones1063/AspeQt-2k26 Current release - https://github.com/pjones1063/AspeQt-2k26/releases/ AspeQt-2K26 is a modernized fork of the classic AspeQt/RespeQt project, designed to emulate Atari 8-bit serial peripherals (Disk Drives, Printers) via SIO2PC. Built for the modern era, AspeQt-2K26 ports the entire codebase to Qt 6, resolving dependency issues and bringing native High-DPI support to Windows 11, macOS (Apple Silicon), and Linux. Key Features in v2.0.0: Native TNFS Support: Mount and stream disk images directly from the internet using the FujiNet protocol. Point to servers like fujinet.pl and boot immediately—no downloads required. Qt 6 Modernization: Replaces legacy Qt 4/5 code. ...
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    Downloads: 11 This Week
    Last Update:
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  • 3
    LaMa

    LaMa

    LaMa - A Localization and Mapping library

    LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our...
    Downloads: 0 This Week
    Last Update:
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