Showing 6 open source projects for "google-visualization-python"

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    COVID19 Data Visualization HoloLens2

    COVID19 Data Visualization HoloLens2

    Experimental COVID-19 data visualization for HoloLens 2

    Experimental COVID-19 Data Visualization for HoloLens 2 with MRTK. This project explores how volumetric data can be represented in physical space with direct hand-tracking inputs in mixed reality using HoloLens 2. It is based on Microsoft's MRTK(Microsoft's Mixed Reality Toolkit). DataVisualizer.cs script contains the code for retrieving, parsing JSON data, and visualizing with graphs.
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  • 2
    Exokit

    Exokit

    Native VR/AR/XR engine for JavaScript

    This project enables developers to build XR experiences using the same code that runs on the web. Exokit engine is written on top of Node and emulates a web browser, providing native hooks for WebGL, WebXR, WebAudio, and other APIs used in immersive experiences. The future is immersive. The web is the best application platform. Javascript is the best ecosystem. It's not possible to do both 2D and 3D well. We don't do 2D. We can use an external 2D browser. Exokit empowers and connect apps,...
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  • 3
    HMD testbed - augmented reality test

    HMD testbed - augmented reality test

    test head mounted display for Augmented Reality applications

    This application is a simple text label editor and viewer on the second dispaly port. The main usage is for testing text styles on video see trought head mounted display (es. google glasses). If you use it please cite our paper: Michele Fiorentino* Saverio Debernardis Antonio E. Uva Giuseppe Monno, Augmented Reality Text Style Readability with See-Through Head-Mounted Displays In Industrial Context, Presence, Vol. 22, No. 2, Spring 2013, 000–000 doi:10.1162/PRES_a_00146 Developer: Michele Fiorentino Required Libs Needed: QT 4.8, OPENCV Free software
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  • 4
    AR-ICE
    Simplified interface to the Augmented Reality library ARToolKit for Python and other programming languages.
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  • 5
    A new academic framework for augmented reality based on QVision and OpenCV. The project includes augmented reality detectors based on black&white patterns and natural features.
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  • 6
    Library for algorithms of Augmented Reality with a application to demonstrate it. Programmed in C/C++ and OpenGL.
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