Showing 10 open source projects for "image processing"

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  • 1
    MegEngine

    MegEngine

    Easy-to-use deep learning framework with 3 key features

    MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ...
    Downloads: 4 This Week
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  • 2

    libCIGI

    C++ Library for the Common Image Generator Interface

    libCIGI (library for Common Image Generator Interface) is a lightweight header only library that provides interfaces for communication between CIGI hosts and image generators. Currently versions 3.0, 3.2 and 3.3 are supported as well as support for the *draft* V4.0 CIGI standard. Additional functionality to the base packet interfaces is provided through external classes so that to the packet headers have no further dependencies.
    Downloads: 0 This Week
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  • 3
    The Medical Imaging Interaction Toolkit (MITK) is a C++ class library for the development of medical imaging software with a high degree of interaction. The example application features DICOM viewing, measurement, image segmentation and registration.
    Downloads: 0 This Week
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  • 4
    opticks
    UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.
    Downloads: 0 This Week
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  • 5
    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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  • 6
    Grayscale and binary image processing library for Qt.
    Downloads: 0 This Week
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  • 7
    The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
    Downloads: 0 This Week
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  • 8
    robust image processing library
    Downloads: 0 This Week
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  • 9
    Libraries for rapid development of Augmented Environment / Reality systems. Cross-platform, though hardware interfacing is currently provided mainly for Windows. Provides encapsulated video capture, image processing, multi-threading and OpenGL renderer.
    Downloads: 0 This Week
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  • 10
    C++ Software Framework based on wxWidgets for Developing Image Processing Algorithms
    Downloads: 0 This Week
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