Showing 2 open source projects for "edge"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 1
    PixClip

    PixClip

    Image & video editor with clarity, sharpness & fast FFmpeg export

    PixClip is a free, open-source desktop image and video editor built with Python and PySide6 (Qt6). It focuses on professional-grade clarity and sharpness: a bilateral-filter Clarity control boosts local contrast without halo artifacts, and an Edge Sharpness tool uses noise-thresholded unsharp masking so grain isn't amplified. Adjustments run in 32-bit floating point and LAB color space to avoid banding and keep natural hues. For video, PixClip applies clarity, sharpness, color adjustments, and 3D LUT (.cube) filters directly to video files, translating parameters into native FFmpeg filtergraphs for 10-50x faster, hardware-accelerated exports versus frame-by-frame processing. ...
    Downloads: 7 This Week
    Last Update:
    See Project
  • 2
    GIMP ML

    GIMP ML

    AI for GNU Image Manipulation Program

    ...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 images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows.
    Downloads: 5 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo