Showing 4 open source projects for "power"

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  • 1
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

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

    ...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! Power Management set as High Performance .. in Balanced is slow)
    Downloads: 5 This Week
    Last Update:
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  • 2
    TextureAtlas Toolbox

    TextureAtlas Toolbox

    A powerful, free and open-source tool for TextureAtlases/Spritesheets

    TextureAtlas Toolbox is an all-in-one solution for working with texture atlases and sprite sheets. Extract sprites into organized frame collections and GIF/WebP/APNG animations, generate optimized atlases from individual frames, or convert between 15+ atlas formats. Perfect for game developers, modders, and anyone creating showcases of game sprites. Formerly known as TextureAtlas to GIFs and Frames Licensed under AGPL-3.0 Third-party licenses: See...
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    Downloads: 15 This Week
    Last Update:
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  • 3
    Float-ditherer

    Float-ditherer

    A dithering software based around floats

    Float-ditherer is a tool that converts images into pure 1-bit images using a user specified palette tailored to convert images,textures and sprites using a float-based sampling method and float matrix. The software is meant to be lightweight and for power-users
    Downloads: 0 This Week
    Last Update:
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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. This work can be used for various applications and further can be improved. ...
    Downloads: 0 This Week
    Last Update:
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