Image Processing
Showing 36 of 393 projects
A high-performance image loading system for Apple platforms with advanced caching, processing, and SwiftUI support.
Java interface to OpenCV, FFmpeg, and other computer vision libraries with utility classes for easier Java/Android integration.
A dependency-free JavaScript library for robust file uploads with drag-and-drop, progress bars, and cloud storage support.
A high-performance, fully managed, cross-platform 2D graphics and image processing library for .NET.
A high-performance animated GIF rendering engine for iOS applications.
A simple jQuery image cropping plugin that provides an intuitive interface for selecting and manipulating image regions.
A simple, fast, lossless image format with compression comparable to PNG and a single-file C/C++ library.
Go language bindings for OpenCV 4, enabling computer vision applications with support for CUDA, DNN, and OpenVINO.
A Node.js wrapper for GraphicsMagick and ImageMagick providing programmatic image processing capabilities.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
An open-source raster to vector graphics converter that efficiently transforms images into compact SVG files.
A Laravel package for associating files with Eloquent models, handling uploads, storage, and image manipulations.
A fast, Docker-ready HTTP microservice for high-level image processing powered by libvips.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality for .NET applications.
A pure Rust library for encoding, decoding, and processing images in many common formats.
A simple Go package providing basic image processing functions like resize, rotate, crop, and color adjustments.
A JPEG encoder library that improves compression efficiency for higher quality and smaller file sizes.
A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.
A privacy protection tool that adds imperceptible pixel-level changes to photos to prevent unauthorized facial recognition.
A Java library for generating high-quality thumbnails with a simple fluent interface and no external dependencies.
A fast JavaScript GIF encoder that runs in the browser using web workers and typed arrays.
A Swift framework for GPU-accelerated image and video processing on iOS, macOS, and Linux.
A fast and simple OCR library written in Swift, optimized for recognizing short alphanumeric codes like gift cards.
Extract prominent colors from images in JavaScript, ported from Android's Palette class.
A collection of convenience functions to simplify common image processing tasks with OpenCV and Python.
A simple and elegant image cropping plugin for Vue.js applications.
A comprehensive .NET framework for machine learning, computer vision, statistics, and scientific computing.
OpenCV bindings for Node.js enabling real-time computer vision applications in JavaScript.
A high-performance JPEG image codec that uses SIMD instructions to accelerate compression and decompression, typically 2-6x faster than libjpeg.
A collection of parallel image processing algorithms implemented in pure Go.
High-quality image resizing in the browser using WebAssembly, web workers, and pure JavaScript.
A Swift image component library for Alamofire providing image response serializers, filters, caching, and async UIImageView downloads.
A pure JavaScript library for reading QR codes from raw image data in browsers and Node.js.
A fast, secure image processing server and Go library using libvips, offering a high-performance drop-in replacement for thumbor.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.