Visual localization made easy with hloc

[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.

🤗 image matching toolbox webui

An Illumination-Robust Point-Line Visual Odometry (IROS 2023)

small c++ library to quickly deploy models using onnxruntime

Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.

🚀 Deep learning includes superpoint-superglue(C++, TensorRT), and traditional algorithms include zkaze, surf, ORB, etc.

SuperPoint and SuperGlue with TensorRT. Deploy with C++.

[CVPR 2023] IMP: iterative matching and pose estimation with transformer-based recurrent module

Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)

ROS wrapper for SuperGlue and SuperPoint models

Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API and step-by-step how to use all codes.

[TUD AE4270] SuperPoint & SuperGlue on OpenVINS

Image features and related matching methods

CVPR 2022 "Image Matching: Local Features and Beyond" workshop challenge: Kaggle Silver Medal solution (34th out of 642 teams).

The implementation about feature matching using various method !!

scripted and traced deep learning models and their applications

基于bert4keras的SuperGLUE基准代码