#computer-vision

React Native Vision Camera v5 (Nitro) plugin for Google ML Kit — text recognition (OCR) and barcode scanning today, each independently installable, with more ML Kit features on the roadmap.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

A Rust-based library for efficient non-linear least squares optimization, with a focus on computer vision applications such as bundle adjustment, graph-based pose optimization, and SLAM

MCP server exposing PlantCV as a measurement instrument — plant traits plus the segmentation overlay they were measured from

Official Python SDK for the Ultralytics Platform API

MaaNTE. Nevertheless to Everless automatic assistant 异环小助手

EdgeFirst TFLite for Rust

Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.

Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration — recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr

.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.

Interactive vision input toolkit for CV frameworks, generate bbox, polygons, lines and points for Ultralytics, SAM, Supervision and many more.

Zedbar is an open source library for reading bar codes from images

EasyOCR's accuracy, Rust's speed and footprint — CRAFT + gen2 CRNN OCR over ONNX, as a library, CLI, and MCP server.

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

该仓库未发布描述。

Client-Libraries for C++/C#/Python for RocketWelder

MCP for Ultralytics Platform workflows, datasets, training, prediction, and model operations.

Java interface to OpenCV, FFmpeg, and more

Single-binary pure-Go photo organizer: groups photos into events by capture time, classifies each by theme via Ollama vision, and copies them into a dated folder tree. Originals untouched.

🌊 Everything your model doesn't do. Analyse, convert, visualize, evaluate — a single CLI for all CV data.