Showing 9 open source projects for "gpu max performance"

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    OptiScaler

    OptiScaler

    OptiScaler bridges upscaling/frame gen across GPUs

    ...The tool effectively acts as a compatibility layer between the game engine and multiple upscaling frameworks, enabling cross-GPU access to features that might otherwise be restricted to specific hardware ecosystems. In addition to replacing upscalers, OptiScaler can enable frame generation features in titles that do not officially support them, improving frame rates and perceived smoothness during gameplay.
    Downloads: 219 This Week
    Last Update:
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  • 2
    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: 25 This Week
    Last Update:
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  • 3
    ffmpeg-over-ip

    ffmpeg-over-ip

    Connect to remote ffmpeg servers

    ffmpeg-over-ip is a client-server system that enables remote execution of FFmpeg commands on a machine with GPU access while controlling it from another environment such as a container or virtual machine. It allows applications without direct GPU access to offload video transcoding tasks to a remote server, improving performance without requiring complex passthrough setups. The system works by coordinating commands through a lightweight protocol while using a shared filesystem to exchange media data. ...
    Downloads: 4 This Week
    Last Update:
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  • 4
    Apollo

    Apollo

    The easiest way to stream with the native resolution of your client

    Apollo is a self-hosted desktop streaming host designed to enable low-latency game streaming from a personal computer to remote clients using protocols compatible with Moonlight and Artemis. It acts as a server that captures, encodes, and streams desktop or game sessions while supporting hardware acceleration across AMD, Intel, and NVIDIA GPUs. The project includes a web-based interface that allows users to configure streaming settings, manage connected clients, and control application...
    Downloads: 58 This Week
    Last Update:
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  • 5
    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: 26 This Week
    Last Update:
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  • 6
    Robust Video Matting (RVM)

    Robust Video Matting (RVM)

    Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX

    We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and matting quality. ...
    Downloads: 8 This Week
    Last Update:
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  • 7
    jetson-ffmpeg

    jetson-ffmpeg

    ffmpeg support on jetson nano

    ...It requires building both the library and a patched version of FFmpeg to fully enable hardware features. Overall, it extends FFmpeg functionality to better suit embedded GPU-powered environments.
    Downloads: 3 This Week
    Last Update:
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  • 8
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    ...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 0 This Week
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  • 9
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
    Downloads: 0 This Week
    Last Update:
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