Showing 5 open source projects for "delphi image processing"

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  • 1
    Darknet YOLO

    Darknet YOLO

    Real-Time Object Detection for Windows and Linux

    This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project.
    Downloads: 31 This Week
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  • 2
    Simd

    Simd

    High performance image processing library in C++

    The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network.
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    Downloads: 20 This Week
    Last Update:
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  • 3

    ANNGD

    Artificial neural network gender detection

    ANNGD is a artificial neural network gender detection application. The detection is made in real time images captured by webcam by opencv library. The package include applications to image pre-processing and artificial neural network back-propagation training.
    Downloads: 0 This Week
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  • 4
    code in this repository is now deprecated, vvvv has moved to github. please see: https://github.com/vvvv/vvvv-sdk --- a collection of standards-based plugins compatible with (among others) vvvv: video tracking plugins based on the freeframe api, audio/video directshow filters, and plugin nodes based on vvvvs own plugin interface. for vvvv see: http://vvvv.org
    Downloads: 0 This Week
    Last Update:
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  • 5
    Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
    Downloads: 0 This Week
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