Showing 4 open source projects for "data capture framework"

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  • 1

    blitz-image

    GPU-accelerated image processing for java

    blitz-image is a library to support extremely fast image processing in java, harnessing GPU acceleration via OpenCL. Although more features will be added in time, the initial focus is on very fast high-quality image resizing, including bicubic resizing (both upscale and downscale). The performance of a typical bicubic upscale operation is typically in the order of 10 times faster than via the standard AWT mechanism using RenderingHints.VALUE_INTERPOLATION_BICUBIC. The library...
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  • 2
    Open Cezeri Library

    Open Cezeri Library

    Effective Linear Algebra and Computer Vision Library with JAVA

    OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-...
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  • 3
    scipion-xmipp

    scipion-xmipp

    Image processing framework to integrate EM software packages.

    Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM). It integrates several software packages and presents an unified interface for both biologists and developers. Scipion allows to execute workflows combining different software tools, while taking care of formats and conversions. Additionally, all steps are tracked and can be reproduced later on. Xmipp is a well-known package in the EM image processing. It is integrated...
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  • 4
    The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.
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