Showing 7 open source projects for "hardware"

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  • 1
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. ...
    Downloads: 1 This Week
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  • 2
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

    Python code able to convert / compress image to PI (3.14, π) Indexes

    ...Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
    Downloads: 5 This Week
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  • 3
    GLMixer

    GLMixer

    Graphic Live Mixer

    GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the...
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    Downloads: 91 This Week
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  • 4

    Yocto-Gumstix LP

    Yocto-Gumstix LP - very Low Power, Processor intensive applications

    This project involves integration of various Yocto components, kernel patches and scripts among others which will make Gumstix hardware consume very low power and still be ready for processor intensive applications. Examples, image processing, intelligent algorithms etc.. used for energy harvested applications like Camera-Trap for deployment in forests. See Present-low-power-capability.txt for details on what this version of poky can do on your gumstix.
    Downloads: 0 This Week
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  • 5
    TurboSphere

    TurboSphere

    TurboSphere is an easy to learn and powerful JS based game engine.

    TurboSphere is an intuitive and easy to learn game engine. It is generally modeled after the Sphere RPG engine for its API, although the API has been modernized. It uses JavaScript as its game logic language, and supports many common file types for resources. TurboSphere uses Google V8 for JavaScript execution and SDL for graphics, audio, input and most other game related functions. It includes a map engine intended for top-down, zelda like games. Other, script based map engines are...
    Downloads: 0 This Week
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  • 6

    AlgART Java Libraries

    Open source library for processing arrays and matrices

    AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over...
    Downloads: 0 This Week
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  • 7
    Math Transformations Library
    ...MTL consists of pars B - Basic Functions, Matrices, Images, Hypermodels (3d Models and up) N - Numeric Functions ranging from linear regression over nonlinear optimization to singular-value computation I - Image filters and Image enhancement H - Hardware related (optional part), does require additional libraries and is only useful on certain hosts. G - Hyper-Model functions such as ray-plane intersections etc.
    Downloads: 0 This Week
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