Showing 4 open source projects for "auto code generation"

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    Imaging Instruments Lite

    Imaging Instruments Lite

    Image processing App for Windows Desktop

    Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. website: https://agustintortolero.pythonanywhere.com/ Source code:...
    Downloads: 0 This Week
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    Imaging Instruments

    Imaging Instruments

    High-performance image processing C++ application for Windows Desktop

    Imaging Instruments is a high-performance image processing application crafted for efficiency and designed to deliver powerful and reliable image manipulation capabilities. Developed using the Model-View-Controller (MVC) architecture, Imaging Instruments harnesses the full potential of modern technologies, combining C++, Qt6, CUDA-C, and OpenCV to deliver a powerful and seamless experience for both professionals and enthusiasts. With multi-threading support via OpenMP and GPU acceleration...
    Downloads: 0 This Week
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  • 3
    GLMixer

    GLMixer

    Graphic Live Mixer

    GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the...
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    Downloads: 36 This Week
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code.
    Downloads: 0 This Week
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