Showing 7 open source projects for "random"

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  • 1
    GLM

    GLM

    OpenGL Mathematics (GLM)

    ...This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, data packing, random numbers, noise, etc. This library works perfectly with OpenGL but it also ensures interoperability with other third party libraries and SDK. It is a good candidate for software rendering (raytracing / rasterisation), image processing, physics simulations and any development context that requires a simple and convenient mathematics library. ...
    Downloads: 49 This Week
    Last Update:
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  • 2
    satellite-image-deep-learning

    satellite-image-deep-learning

    Resources for deep learning with satellite & aerial imagery

    This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. ...
    Downloads: 0 This Week
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  • 3
    BRIC

    BRIC

    BRIC is a powerful tool for batch image processing.

    Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten.
    Downloads: 0 This Week
    Last Update:
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  • 4
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    ...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). ...
    Downloads: 0 This Week
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  • 5
    AwesomeBump

    AwesomeBump

    Open Source graphic tool and alternative to Insane Bump

    AwesomeBump is a free and open source graphic app written using Qt library. It was made as an alternative to known gimp plugin Insane Bump or the commercial tool Crazy Bump. It is designed to generate normal, height, specular or ambient occlusion, metallic, roughness and other textures from a single image. Most of the image processing is done on GPU so the program runs very fast and all the parameters can be changed in real time.
    Downloads: 16 This Week
    Last Update:
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  • 6

    A3D Legacy Library

    Legacy C++ libraries for basic image processing

    ...Some derivative works are used for teaching C++ development and image processing at Ecole des Ponts ParisTech. The Library is composed of 4 modules: - Common: base containers, random number generation, timer functions. - Images: image I/O and basic image processing algorithms. - LinAlg: simple wrappers for linear algebra algorithms. - Graphics: basic graphical user interface based on wxWidgets.
    Downloads: 0 This Week
    Last Update:
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  • 7

    EMGU Kalman Filter

    Kalman Filter for EMGU Image Processing Applications

    ...The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. In these examples the signal processes is the movement of the mouse and random data. While a simple application the algorithm can have numerous applications including image smoothing, edge tracking and optical flow to name a few.
    Downloads: 0 This Week
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