Best of Image ProcessingJune 2024

  1. 1
    Article
    Avatar of communityCommunity Picks·2y

    imgproxy: fast and secure on-the-fly image processing

    imgproxy is a fast and secure on-the-fly image processing tool, with easy deployment using Docker, impressive features including PDF and video thumbnail capabilities, and excellent performance. The support team is also highly responsive and open to feature requests.

  2. 2
    Article
    Avatar of communityCommunity Picks·2y

    Intervention Image v3

    Intervention Image v3 is an open source PHP image processing library that provides an easy way to edit images. It supports GD Library and Imagick, and has features such as unified API, processing of animated images, support for colorspaces and profiles, and more. The library follows the FIG PSR-12 standard and is fully unit tested.

  3. 3
    Article
    Avatar of hnHacker News·2y

    AiuniAI/Unique3D: Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

    Unique3D enables high-quality 3D mesh generation from a single image with demo implementations on Gradio, Huggingface, and an online platform. The project requires setting up a conda environment and installing specific dependencies. It's compatible with Ubuntu 22.04.4 LTS and CUDA 12.1, and detailed installation scripts for Windows are provided. Unique3D performs best with high-resolution, orthographic front-facing images with minimal occlusions.

  4. 4
    Article
    Avatar of rubyflowRuby Flow·2y

    Create a QR Code with a Logo

    Learn how to create a custom QR code with a logo using Ruby on Rails. This tutorial walks you through setting up a simple app, using MiniMagick and RQRCode to generate and process images, including Active Storage for uploading attachments. The process includes generating a QR code, adding a logo, and combining images to create a branded QR code.

  5. 5
    Article
    Avatar of mlmMachine Learning Mastery·2y

    Stable Diffusion Project: Reviving Old Photos

    Learn how to use Stable Diffusion to restore old photos by removing defects, enhancing resolution, and colorizing black-and-white images. The process involves using superresolution techniques and advanced machine learning models like ControlNet to refine and recolor the images, preserving details while upgrading their quality.