C++/CUDA/Python multimedia utilities for NVIDIA Jetson

Depth Anything 3

Lidar Localization and Mapping

[CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models

Effortless data labeling with AI support from Segment Anything and other awesome models.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Open-source simulator for autonomous driving research.

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

OpenCV图像拼接算法集成 SuperPoint 、LightGlue 特征点检测和匹配深度学习模型

The repository contains our dataset and C++ implementation of the CVPR 2022 paper, Geometric Structure Preserving Warp for Natural Image Stitching.

A Python package for fast and robust Image Stitching

Visual localization made easy with hloc

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

This is official tensorflow implementation of “PIAFusion: A Progressive Infrared and Visible Image Fusion Network Based on Illumination Aware”

Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Inpaint anything using Segment Anything and inpainting models.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

OpenMMLab Detection Toolbox and Benchmark

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Fast Segment Anything

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Ultralytics YOLO 🚀