Showing 4 open source projects for "install from git"

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  • 1
    Panel Splitter for Adobe Photoshop

    Panel Splitter for Adobe Photoshop

    Instantly crop & export images along the guides in Adobe Photoshop

    ...Panel Splitter will prepare the guides, crop each panel and save them as PDFs for you. There is an alternative option that already available in Adobe Photoshop named Slices from Guides. But, it lacks the ability to export each panel in high quality state & the Export feature is deprecated in modern versions. 🖥️ How to use Panel Splitter? - Download Panel Splitter for Adobe Photoshop - Double click on the downloaded setup file and install the software. - Start Panel Splitter and click Install, Panel Splitter will automatically identify installed Photoshop versions and configure...
    Downloads: 0 This Week
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  • 2
    kgclock

    kgclock

    Desktop Analog Clock for Linux and notification system

    ...Also provided is a .deb package which can be installed using 'dpkg -i <package>'. The binary tarball should work for any 64 bit Linux distribution. If one prefers to build from source one need to install Kulina Graphics also. One specialty of 'kgclock' its low cpu usage, after one minute it is negligible.
    Downloads: 1 This Week
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  • 3
    MMDeploy

    MMDeploy

    OpenMMLab Model Deployment Framework

    MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN...
    Downloads: 2 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: 11 This Week
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