Showing 4 open source projects for "computer based test"

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  • 1
    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 localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. ...
    Downloads: 0 This Week
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  • 2

    Software Automation Framework Support

    Multiplatform data-driven test automation execution services

    ...Among other features, it provides advanced support of language localization testing (NLS) allowing the same tests to work for many different languages or test configurations. With various different tool configurations SAFS can be used to test Java, Web/Html, Flex, .Net, WPF, Win, iOS, and Android domains natively. And with advanced Image-Based Testing support built-in SAFS can be used to test virtually anything, anywhere.
    Downloads: 0 This Week
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  • 3
    Pootle, Virtaal & Translate Toolkit

    Pootle, Virtaal & Translate Toolkit

    Localization tools built by localizers for localizers

    Tools for localization: - Pootle: web based translation management system. - Virtaal: Computer Aided Translation (CAT) tool. - Translate Toolkit: QA, format conversion and support (PO, Java .properties, OpenOffice, Mozilla, XLIFF, TMX, TBX, CSV, Qt .ts).
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    Downloads: 56 This Week
    Last Update:
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  • 4
    TinyTM is a small but powerful open-source Translation Memory (TM). Easy to use and install and suitable for both individual users and multiple users and multi-language groups. Written in PL/SQL on Postgres
    Downloads: 0 This Week
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