Showing 5 open source projects for "t-mobile"

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  • 1
    Norish

    Norish

    A realtime, self-hosted recipe app for families & friends

    ...Norish also handles grocery list management with recurring items and calendar meal planning, giving household groups an organized view of upcoming meals. Built with modern web technologies and designed for self-hosting, the app includes support for single sign-on via OIDC providers, a mobile-friendly interface, and user permissions for editing or viewing recipes and lists.
    Downloads: 1 This Week
    Last Update:
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  • 2
    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: 46,514 This Week
    Last Update:
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  • 3
    Music + Video + Animation Maker & App

    Music + Video + Animation Maker & App

    Why Music + Video + Animation Maker & App is Fun?

    Javaimagephp All-in-one video/film editor or maker makes sense as simple to use app for video/film or movie editing and animations/slideshows. It gets most of your imagination of an All-in-one video/film Animation editor / maker App. Video editing is made intuitive and simple. Lots of Special Effects ( > 55) ! For example this one http://ogena.ridoua.nu Formats supported are mp4, avi, flv, mov, flv and more. Description given image animation which seeks audio given a description....
    Downloads: 0 This Week
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    ...The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 0 This Week
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  • 5
    A free, java-based wearable computer and augmented reality system. Designed to be constructed out of common off-the-shelf items.
    Downloads: 0 This Week
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