Computer Vision

AUTOMATIC1111 / stable-diffusion-webui

A feature-rich web UI for Stable Diffusion, enabling text-to-image, image-to-image, outpainting, and inpainting. Supports extensions, LoRA, custom embeddings, and API access with a user-friendly Gradio interface.

hacksider / Deep-Live-Cam

Real-time face swapping and video deepfake tool that works with just a single image. Supports webcam streaming, video processing, and multiple GPU acceleration options including CUDA, CoreML, and DirectML.

opencv / opencv

OpenCV is an open-source computer vision and machine learning software library. It provides real-time optimized tools for image processing, object detection, video analysis, and AI model execution across multiple platforms and programming languages.

PaddlePaddle / PaddleOCR

An open-source OCR toolkit and Document AI engine that converts PDFs and images into LLM-ready structured data (JSON/Markdown). Features the SOTA lightweight vision-language model PaddleOCR-VL for document parsing, PP-OCRv5 for 100+ language text recognition, and deep integration with RAG and Agent ecosystems like Dify and RAGFlow.

tesseract-ocr / tesseract

Tesseract OCR engine with neural network (LSTM) support for 100+ languages. Includes command-line tool and API library for text extraction from images.

CompVis / stable-diffusion

Stable Diffusion is a latent text-to-image diffusion model that generates photo-realistic images from text prompts. Built on latent diffusion architecture with a CLIP text encoder, it enables high-quality image synthesis, image-to-image translation, and inpainting tasks.

ultralytics / ultralytics

Ultralytics YOLO is a cutting-edge computer vision framework providing state-of-the-art object detection, segmentation, classification, tracking, and pose estimation models. Fast, accurate, and easy to use with extensive deployment options.

ultralytics / yolov5

YOLOv5 is a state-of-the-art computer vision model for real-time object detection, segmentation, and classification. Built on PyTorch, it offers exceptional speed, accuracy, and ease of use for both research and production deployment.

deepfakes / faceswap

FaceSwap is an open-source deep learning tool for recognizing and swapping faces in images and videos. It supports NVIDIA, AMD ROCm, Apple Silicon, and CPU backends, featuring a complete pipeline of face extraction, model training, and video conversion — all accessible via both CLI and GUI.

ageitgey / face_recognition

A powerful yet simple Python library for face recognition with 99.38% accuracy on LFW benchmark. Provides easy API for face detection, facial feature analysis, and identity recognition with command-line tools.

facebookresearch / segment-anything

Meta AI's Segment Anything Model (SAM) is a breakthrough foundation model for promptable image segmentation. It generates high-quality object masks from simple prompts like points or boxes, trained on 11M images with 1.1B masks, delivering exceptional zero-shot performance across diverse segmentation tasks.