Showing 11 open source projects for "cuda"

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    rembg

    rembg

    Rembg is a tool to remove images background

    Rembg is a powerful tool that utilizes AI (specifically U^2-Net) to automatically remove backgrounds from images, offering a streamlined command-line interface and Docker support. It's ideal for batch processing and integrates smoothly into workflows
    Downloads: 29 This Week
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  • 2
    GLM

    GLM

    OpenGL Mathematics (GLM)

    OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionality than GLSL so that anyone who knows GLSL, can use GLM as well in C++. This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations,...
    Downloads: 67 This Week
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  • 3
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ...Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge.
    Downloads: 3 This Week
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  • 4
    PyMapStitcher-3---Cuda-Maps-Downloader

    PyMapStitcher-3---Cuda-Maps-Downloader

    A low ram maps downloader to keep your ram free.

    PyMapStitcher 3 is a desktop application for downloading, stitching, and exporting very large satellite map areas as GeoTIFF/BigTIFF files. The software supports GPU acceleration with NVIDIA CUDA and CuPy, direct GeoTIFF georeferencing, WebView-based map selection, and high-performance tile processing for large-scale mapping workflows.
    Downloads: 0 This Week
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  • 5
    Imaging Instruments

    Imaging Instruments

    High-performance image processing C++ application for Windows Desktop

    Imaging Instruments is a high-performance image processing application crafted for efficiency and designed to deliver powerful and reliable image manipulation capabilities. Developed using the Model-View-Controller (MVC) architecture, Imaging Instruments harnesses the full potential of modern technologies, combining C++, Qt6, CUDA-C, and OpenCV to deliver a powerful and seamless experience for both professionals and enthusiasts. With multi-threading support via OpenMP and GPU acceleration through CUDA-C, Imaging Instruments provides lightning-fast image processing, unlocking the full capabilities of modern hardware. Built and designed by Agustin Tortolero. ...
    Downloads: 0 This Week
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  • 6
    Imaging Instruments Lite

    Imaging Instruments Lite

    Image processing App for Windows Desktop

    Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero/Imaging-Instruments-lite
    Downloads: 0 This Week
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  • 7

    cocolib / light field suite

    CUDA library for continuous optimization and light field analysis

    Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: ...
    Downloads: 0 This Week
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  • 8

    ucme_compiler

    A compiler that automatically generates parallel code

    This compiler automatically generates C++, CUDA, MPI, or CUDA/MPI code for parallel processing. The idea is to require only minimal end user knowledge of how the underlying code works. It was originally intended for numerical analysis work, but it also is very applicable for image processing.
    Downloads: 0 This Week
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  • 9
    A GUI interface to a tool for generating SSBumps (Self Shadowed Bump Maps). Includes a CUDA GPU rendering extension.
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    Downloads: 11 This Week
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  • 10
    HIPAcc

    HIPAcc

    Heterogeneous Image Processing Acceleration (HIPACC) Framework

    HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.
    Downloads: 0 This Week
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  • 11
    GpuBIP is an image processing application for CUDA, targeted mainly to process big images organized in tiles. It uses nip2 workspace files to process images on GPUs. However, only small amount of filters will be available (is planned).
    Downloads: 0 This Week
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