Showing 6 open source projects for "high performance computing"

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  • 1
    VidGear

    VidGear

    A High-performance cross-platform Video Processing Python framework

    VidGear is a high-performance Python framework that provides a unified and extensible solution for building real-time video processing applications. It acts as an abstraction layer over powerful multimedia libraries such as OpenCV, FFmpeg, and ZeroMQ, simplifying complex workflows into concise and efficient APIs. The framework is built around modular components called “gears,” each responsible for tasks such as video capture, streaming, encoding, and network transmission. ...
    Downloads: 0 This Week
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  • 2
    Anime Player

    Anime Player

    Video player for improving quality of hand-drawn images

    A video player that enhances the quality of a hand-drawn image using Anime4K's high-performance scaling algorithm. This program is a video player written in the Python programming language using the PySimpleGUI graphical user interface library, an mpv media player, and the Anime4K scaling algorithm . Anime Player is designed to play video and audio files and includes functions such as opening files, URLs and folders, setting image scaling parameters using the Anime4K algorithm, creating an mpv config for watching videos using the Anime4K algorithm on Android, viewing help and information about tuning the algorithm. ...
    Downloads: 14 This Week
    Last Update:
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  • 3
    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: 180 This Week
    Last Update:
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  • 4
    BasicSR

    BasicSR

    Winning Solution in NTIRE19 Challenges on Video Restoration

    BasicSR is a deep learning framework designed for advanced video restoration tasks such as video super-resolution, deblurring, and denoising. Unlike single-image restoration models, EDVR addresses the temporal dimension by aligning multiple video frames using deformable convolutional layers in a coarse-to-fine manner, allowing it to effectively handle large motion and complex scene dynamics. The architecture includes bespoke modules (e.g., Pyramid, Cascading and Deformable alignment and...
    Downloads: 0 This Week
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  • 5

    convertToMP4

    Easily convert to MP4 with H264 and without all the codec hassle

    Convert existing media data (movies or images) to an mp4 movie, with the high performane h264 codec. Usually it takes quite a lot to get the video running as you wish. As convertion engine, Mencoder will be used. This script is intended to ease the creation of videos. It is suitable for the beginner or the lazy advanced people. It will not suite the professional wanting to have full control over all codec parameters. Consider donating to this project:...
    Downloads: 0 This Week
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  • 6
    PyQtADA
    This project aims to develop a tool to create DVD, hence the name; PyQtADA: Python and Qt another DVD Author. In linux there are very few tools to perform this functionality with high performance and a low learning curve for users.
    Downloads: 0 This Week
    Last Update:
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