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Showing 3 open source projects for "image processing"

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    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions.
    Downloads: 1 This Week
    Last Update:
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  • 2
    imagor

    imagor

    Fast, secure image processing server and Go library, using libvips

    Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.
    Downloads: 2 This Week
    Last Update:
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  • 3
    imaginary

    imaginary

    Fast, simple, scalable, Docker-ready HTTP microservice

    Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API.
    Downloads: 3 This Week
    Last Update:
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