Awesome GitHub RepositoriesProcessing APIs

Rembg is a machine learning-based toolkit designed for automated image background removal and subject segmentation. It functions as a versatile engine that identifies and extracts subjects from images, supporting diverse input methods including individual files, directory-based batch processing, and live binary data streams. The project distinguishes itself through its flexible integration options, offering a command-line interface for local automation, a library for programmatic access, and an HTTP service for remote requests. It utilizes deep learning architectures to classify pixels and ge

Background Removal JS is a client-side neural matting library that runs a lightweight AI model directly in the browser to compute alpha mattes, removing image backgrounds without uploading any data to a server. It functions as a browser-based image background removal SDK and client-side image matting library, keeping all processing on the user's device to eliminate server costs and preserve privacy. The project provides a cross-platform creative editing engine that produces identical image and video output across web, mobile, desktop, and server environments from a single codebase. It offers

SD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing images and videos using diffusion models. It functions as a comprehensive tool for diffusion model management and an automated image processing pipeline for bulk operations. The project is distinguished by its hardware-backend abstraction layer, which provides automatic detection and acceleration for NVIDIA CUDA, AMD ROCm, Intel OpenVINO, and DirectML. It features a headless generative API and a programmatic command interface, allowing users to trigger tasks via REST API or CLI wi

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

Imaginary is a self-hosted HTTP server for image processing that applies transformations like resizing, cropping, rotating, and format conversion through URL parameters. It operates as a stateless request-response pipeline, processing images fetched from remote URLs or served from a local directory without requiring client-side dependencies. The server distinguishes itself through its security and access control capabilities, offering optional API key validation, HMAC-signed URL verification, and remote origin whitelisting to restrict which image sources are permitted. It also provides a heal

Clarity-upscaler este un instrument AI de upscaling și îmbunătățire a imaginilor care utilizează modele de deep learning pentru a crește rezoluția și a restaura detaliile vizuale. Acesta funcționează ca un motor de inferență pentru super-rezoluție, folosind rețele neuronale pentru a prezice pixelii lipsă și a sintetiza detalii de înaltă frecvență din surse de joasă rezoluție. Proiectul este livrat sub formă de API programabil, permițând integrarea procesării automate a imaginilor la rezoluție înaltă și a clarificării acestora în aplicații și fluxuri de lucru externe. Această interfață permite upscaling-ul programatic al imaginilor pentru a crea active de înaltă rezoluție. Sistemul oferă capabilități pentru îmbunătățirea automată a imaginilor, eliminând zgomotul și îmbunătățind claritatea pentru a produce versiuni mai clare ale imaginilor de calitate scăzută. Gestionează aceste sarcini printr-o arhitectură decuplată client-server care gestionează natura intensivă a inferenței de machine learning.