Showing 4 open source projects for "image algorithm"

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  • 1
    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: 16 This Week
    Last Update:
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  • 2
    Real-ESRGAN GUI

    Real-ESRGAN GUI

    Cross-platform GUI for image upscaler Real-ESRGAN

    ...Real-ESRGAN can only enlarge the input image with a fixed 2-4x magnification (related to the selected model). This functionality is achieved by downsampling using a conventional scaling algorithm after multiple calls to Real-ESRGAN. Split each frame of the GIF and record the duration, zoom in one by one and then merge. Drag an image file or directory to any position in the window, and its path can be automatically set as the input.
    Downloads: 118 This Week
    Last Update:
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  • 3
    Upscale

    Upscale

    This program is upscaling any image by a factor 2 using an algorithm

    This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Consistent Depth

    Consistent Depth

    We estimate dense, flicker-free, geometrically consistent depth

    Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. ...
    Downloads: 0 This Week
    Last Update:
    See Project
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