Showing 4 open source projects for "cpu benchmark linux"

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    IOPaint

    IOPaint

    Image inpainting tool powered by SOTA AI Model

    IOPaint is a powerful open-source image editing tool focused on inpainting, outpainting, object removal, and general image manipulation driven by state-of-the-art AI models, delivering these capabilities through both local and hosted workflows. Designed to be fully self-hosted and flexible, IOPaint supports a variety of underlying generators and inpaint models — from LaMa erase networks to Stable Diffusion-based replace/object generation — giving users multiple ways to refine or reconstruct...
    Downloads: 23 This Week
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  • 2
    Fire Animation

    Fire Animation

    JavaScript fire animation in HTML

    Fire Animation in JavaScript code inserted in HTML using gradient. ~80 lines code, 2 functions, run onload. fascinating fact, LLM (AI) Local or free online, is not able to make some like this, just fly orange or green balls (2026). I tested All to size 122B and all free online. PS: I found out that CPU only and Safari (MacOS) cannot handle this old style, so I made a modified version (_safari_optimized) that works with a texture.
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    Downloads: 0 This Week
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  • 3
    Forma

    Forma

    An efficient vector-graphics renderer

    Forma is an experimental vector graphics renderer written in Rust, developed by Google to explore high-performance, parallelized rendering techniques across multiple platforms. The project aims to achieve portability, performance, simplicity, and small footprint through a streamlined four-stage rendering pipeline. Forma provides both CPU (software) and GPU (hardware) backends, relying on Rust’s SIMD auto-vectorization, Rayon for multithreading, and WebGPU (wgpu) for hardware acceleration....
    Downloads: 2 This Week
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  • 4
    Simd

    Simd

    High performance image processing library in C++

    ...It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.
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    Downloads: 18 This Week
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