A modern, cross-platform, 2D Graphics library for .NET
- image-processing
- drawing
- c-sharp
- jpeg
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A modern, cross-platform, 2D Graphics library for .NET
Image processing in Python
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
Imaging is a simple image processing package for Go
Thumbnailator - a thumbnail generation library for Java
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
Image processing algorithms in pure Go
Fast, secure image processing server and Go library, using libvips
3D visualization and mesh analysis for science and engineering
Insane(ly slow but wicked good) PNG image optimization
Go package for fast high-level image processing powered by libvips C library
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video and image processing using Metal.
Cross-platform desktop GUI app to clean image metadata
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Fabulous Image Processing in Swift
Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
Light Weight Image Processor for NodeJS
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
A GPU accelerated image and video processing framework built on Metal.
Leptonica is an open source library containing software that is broadly useful for image processing and image analysis applications. The official github repository for Leptonica is: danbloomberg/leptonica. See leptonica.org for more documentation.
A Python library for alpha matting
A smart and easy-to-use image masking and cutout SDK for mobile apps.
Go Image Filtering Toolkit
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.