Showing 14 open source projects for "cuda"

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  • 1
    Anime4KCPP

    Anime4KCPP

    A high performance anime upscaler

    Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high-performance tool to process both image and video. This project is for learning and the exploration task of the algorithm course in SWJTU. Anime4K is a simple high-quality anime upscale algorithm. Version 0.9 does not use any machine learning approaches and can be...
    Downloads: 19 This Week
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  • 2
    Warlock-Studio

    Warlock-Studio

    AI Suite for upscaling, interpolating & restoring images/videos

    v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system...
    Downloads: 32 This Week
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  • 3
    MediaCoder

    MediaCoder

    Universal media transcoding software

    MediaCoder is a universal media transcoding software actively developed and maintained since 2005. It puts together most cutting-edge audio/video technologies into an out-of-box transcoding solution with a rich set of adjustable parameters which let you take full control of your transcoding. New features and latest codecs are added or updated constantly. MediaCoder might not be the easiest tool out there, but what matters here is quality and performance. It will be your swiss army knife for...
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    Downloads: 1,490 This Week
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  • 4
    QtAV

    QtAV

    A multimedia framework based on Qt and FFmpeg

    QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc
    Downloads: 35 This Week
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  • 5
    Real-ESRGAN Video Enhance

    Real-ESRGAN Video Enhance

    Real-ESRGAN video upscaler with resumability

    ...This results in a notable enhancement in performance and enables the feature of reusability. You can download Windows executable file for Intel/AMD/Nvidia GPU. This executable file is portable and includes all the binaries and models required. No CUDA or PyTorch environment is needed.
    Downloads: 20 This Week
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  • 6
    G2SConverter

    G2SConverter

    Convert models from GoldSource engine to Source engine with AI

    Convert models from GoldSource engine to the Source engine with AI. This utility converts GoldSource engine models to Source engine models. A feature of this utility is the ability to improve the quality of textures of models using Upscaling, deblurring, and normal map generating. All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8....
    Downloads: 0 This Week
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  • 7
    Super-résolution via CNN

    Super-résolution via CNN

    Super resolution using a CNN, based on the work of the DGtal team

    Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. Low res images should be located in a "dataset/input" folder, and high res targets in a "dataset/target" folder, where each different quality image has the same name in both folders.
    Downloads: 0 This Week
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  • 8
    VideoMan Library

    VideoMan Library

    C++ library for image acquisition and visualization

    Library for capturing video from cameras, 3d sensors, frame-grabbers, video files and image sequences. It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computer vision. Keywords: video capture, computer vision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige
    Downloads: 0 This Week
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  • 9
    QtAV

    QtAV

    A cross-platform multimedia framework based on Qt and FFmpeg

    ...It provides a flexible API for decoding, encoding, and rendering media streams, supporting a wide variety of formats through FFmpeg integration. The framework supports hardware acceleration technologies such as DXVA, VAAPI, and CUDA, ensuring efficient playback even for high-resolution or complex video formats. QtAV includes features like subtitle handling, video filters, frame-by-frame playback, and customizable rendering pipelines using OpenGL and other backends. It integrates seamlessly with Qt Widgets and QML, allowing developers to build modern user interfaces while maintaining performance. ...
    Downloads: 0 This Week
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  • 10

    MFNode

    Media Foundation : Audio/Video Source, Transform and Sink.

    ...You will find : - audio/video player (win32) - custom media session - sequencer source - audio/video capture - screen capture - kinect V1 capture - wave audio mixer - http streaming (winsock) - jpeg encoding (Gdiplus) - dxva2 technologie - cuda decoding - directX9 renderer and shader - COM technologie - different kind of mediafoundation Source, Sink and Transform (mpeg2, flv, a52, vp6...) - mp3 to wave transcoder See readme in files section for more.
    Downloads: 0 This Week
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  • 11

    videoMagnification

    Video magnification

    Parallel implementation of Video Magnification aiming Nvidia CUDA platform. Based on http://people.csail.mit.edu/mrub/vidmag/
    Downloads: 0 This Week
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  • 12
    Bogart is a high-level library/optimizing compiler for graphics. It aims to provide high-level abstractions/optimizations, with support for graphics hardware (procedural shaders). LLVM/CUDA/OpenGL are on the roadmap.
    Downloads: 0 This Week
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  • 13
    Python framework for video processing and content analysis using CUDA for acceleration.
    Downloads: 0 This Week
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  • 14
    This project provides realtime implementations of popular HDR tone mapping operators on GeForce 8800 GPUs using the CUDA programming environment.
    Downloads: 0 This Week
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