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2 Repos

Awesome GitHub RepositoriesMetadata Caching

Caching of computed image properties and analysis results to optimize repeat requests.

Distinct from Image Processing: Distinct from Image Processing: specifically covers the storage of metadata rather than the image bytes themselves.

Explore 2 awesome GitHub repositories matching graphics & multimedia · Metadata Caching. Refine with filters or upvote what's useful.

Awesome Metadata Caching GitHub Repositories

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  • thumbor/thumborAvatar von thumbor

    thumbor/thumbor

    10,501Auf GitHub ansehen↗

    Thumbor is a dynamic image processing service and proxy server that resizes, crops, and filters images on demand via URL parameters. It functions as a URL-based image manipulator that generates specific image versions from source assets to optimize web delivery. The system includes a smart cropping engine that uses facial feature detection and computer vision to automatically center thumbnails on the most relevant visual content. To prevent unauthorized parameter tampering and malicious requests, it employs signature-based request validation and domain-based source whitelisting. Broad capabi

    Implements a key-value store for computed image properties to avoid repeating expensive analysis on subsequent requests.

    Pythonhacktoberfest
    Auf GitHub ansehen↗10,501
  • kohya-ss/sd-scriptsAvatar von kohya-ss

    kohya-ss/sd-scripts

    7,133Auf GitHub ansehen↗

    sd-scripts is a suite of utilities designed for fine-tuning generative models, preprocessing datasets, and converting model weights. It provides a collection of scripts for executing Stable Diffusion training through methods such as DreamBooth, textual inversion, and full fine-tuning, alongside a framework for creating and managing Low-Rank Adaptation weights. The project features specialized capabilities for model weight conversion between different architectures and precision formats. It includes tools for merging adaptation weights into base models, extracting weights from trained models,

    Caches image dimensions and captions in local files to accelerate the loading of large training datasets.

    Python
    Auf GitHub ansehen↗7,133
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