Showing 11 open source projects for "image processing framework"

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  • 1
    waifu2x ncnn Vulkan

    waifu2x ncnn Vulkan

    waifu2x converter ncnn version, run fast GPU with vulkan

    ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.
    Downloads: 6 This Week
    Last Update:
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  • 2
    IM
    IM is a toolkit for Digital Imaging. IM is based on 4 concepts: Image Representation, Storage, Processing and Capture. The main goal of the library is to provide a simple API and abstraction of images for scientific applications.
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    Downloads: 33 This Week
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  • 3
    The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
    Downloads: 0 This Week
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  • 4
    Darknet

    Darknet

    Convolutional Neural Networks

    ...With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community.
    Downloads: 45 This Week
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    Twitter Image Pipeline

    Twitter Image Pipeline

    Twitter Image Pipeline is a robust and performant image loading

    The Twitter Image Pipeline is a streamlined framework for fetching and storing images in an application. The high-level concept is that all requests to fetch or store an image go through an image pipeline which encapsulates the work of checking the in-memory caches and an on disk cache before retrieving the image from over the network as well as keeping the caches both up to date and pruned.
    Downloads: 0 This Week
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  • 6

    Software Automation Framework Support

    Multiplatform data-driven test automation execution services

    SAFS is a software test automation framework supporting data-driven (aka keyword-driven) functional test automation and associated services. The framework can run stand-alone on Windows, Linux, and Mac as well as integrate the use of IBM Rational Functional Tester, IBM Rational Robot, Smart Bear/AutomatedQA Test Complete, Apple XCode UIAutomation, Android SDK Automaton, Thoughtworks Selenium, and several other tools.
    Downloads: 0 This Week
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  • 7
    reacTIVision
    reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
    Downloads: 204 This Week
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  • 8
    Tesseract OCR iOS

    Tesseract OCR iOS

    Tesseract OCR iOS is a Framework for iOS7+

    ...Easy and fast. Tesseract OCR iOS and TesseractOCR.framework are distributed under the MIT license. These are the current versions of the upstream bundled libraries within the framework that this repository provides, Tesseract 3.03-rc1, Leptonica 1.72, Image libraries, Libtiff 4.0.4, Libpng 1.6.18, and Libjpeg 9a.
    Downloads: 0 This Week
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  • 9
    HIPAcc

    HIPAcc

    Heterogeneous Image Processing Acceleration (HIPACC) Framework

    HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.
    Downloads: 0 This Week
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  • 10
    Heimdall is a sensor fusion framework. It uses a component-based approach to create a sensor fusion middleware. This is the core component, which controls the interaction between the components used to do the sensing and the processing of data.
    Downloads: 0 This Week
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  • 11
    Framework to simplify developing applications that use wireless body sensor networks (bodynets). Manages sensor sampling, data buffering, local processing and communication. Supports embedded devices running TinyOS and any Java-capable gateway.
    Downloads: 0 This Week
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