Showing 4 open source projects for "vb.net image processing source code"

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  • 1
    RestorePhotos.io

    RestorePhotos.io

    Restoring old and blurry face photos with AI

    RestorePhotos.io is an AI web app for restoring old, blurry, or low-quality face photos and bringing them back to life. It wraps the GFPGAN model (served via Replicate) behind a friendly Next.js front end, so non-technical users can upload an image and receive an enhanced version without ever touching ML code. The workflow is straightforward: you upload a photo, the serverless API route sends it to Replicate, and the restored image is returned and displayed in the UI. The project is...
    Downloads: 12 This Week
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  • 2
    Graphite

    Graphite

    An open source graphics editor for 2025

    Graphite is a modern, open-source, prototyping and design tool built for vector graphics, motion, and state-driven UIs. It combines traditional vector drawing capabilities with features like animation timelines, state machines, and interactive prototyping—all in one toolchain rather than separate apps. The interface supports layering, boolean operations, masks, and full node-based parametric controls for shapes and effects. Because it’s built to be extendable, plugin support allows...
    Downloads: 28 This Week
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  • 3

    key_color_image

    Command line app for creating a particular color scale to images

    It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but instead of gray, that color). In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha (alpha = 0). You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image...
    Downloads: 0 This Week
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  • 4
    GIMP ML

    GIMP ML

    AI for GNU Image Manipulation Program

    This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on...
    Downloads: 23 This Week
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