An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI
Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are fast, accurate, and easy to use.
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
> ⚠️ Beta: framefields is under active development. APIs may change between releases and some features may be incomplete or unstable.
PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL).
Koharu introduces a local-first workflow for manga translation, utilizing the power of ML to automate the process. It combines the capabilities of object detection, OCR, inpainting, and LLMs to create a seamless translation experience.
三角洲行动OBS锁头插件（电脑端&手机端） – 基于OBS渲染注入的智能锁头辅助，支持QQ音乐/网易云联精准骨骼识别、平滑自瞄、压枪抑制，稳定过检，提升击杀效率。5L2G5YW25a6e5Lul5LiK5YWo5piv6aqX5L2g55qE77yM6L+Z5Y+q5piv5Liq5biu5L2g5a6J6KOF5pqX5Yy656qB5Zu055qE5Y+N5L2c5byK6aG555uu572i5LqG
Open Source Computer Vision Library
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve Labs, Runway, and Descript.
We are your essential toolkit for computer vision. From data loading to real-time zone counting, we provide the building blocks so you can focus on building applications around your models. 🤝
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
[2026-03-10] The Canopy Height Maps v2 (CHMv2) model and inference code are now available (more details on downloading the model weights and using the code here). The model weights are also available in Hugging Face Hub and supported by the Hugging Face Transformers library.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
🚀 100% Open Source · Embodied AI · Full Hardware + Software Stack
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 06
This repository contains demos I made with the Transformers library by HuggingFace.
Note 1: For Windows, please install torch and torchvision first by following the official instructions here On the pytorch website, be sure to select the right CUDA version you have. If you intend to run on CPU mode only, select CUDA = None.
deep learning for image processing including classification and object-detection etc.
A simple screen parsing tool towards pure vision based GUI agent
AI , a computer vision and AI consulting company. We help organizations design, build, optimize, and deploy production-ready AI solutions.
CVPR 2026 论文和开源项目合集
3 快速搭建你的第一个系统，并进行迭代(Build your first system quickly, then iterate)
We recommend running these notebooks on Colab, which provides a hosted runtime with all the dependencies you will need. You can also, run these notebooks locally, either by setting up your own Jupyter environment, or using Colab's instructions for running locally.
The open-source tool for building high-quality datasets and computer vision models
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: