🚀 AirVO upgrades to AirSLAM 🚀

small c++ library to quickly deploy models using onnxruntime

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

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

Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm

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

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

Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT

[TUD AE4270] SuperPoint & SuperGlue on OpenVINS

Graph based SLAM for multiple cameras using SuperPoint feature detector

C++ implementation of SuperPoint inference in LibTorch

Image features and related matching methods

The implementation about feature matching using various method !!

Deployment and evaluation code for a SuperPoint-based Stereo Visual Odometry

SuperPoint with pretrain model and implement in Pytorch C++

scripted and traced deep learning models and their applications

Pytorch implemenation of structure from motion using Libviso2, SIFT, SuperPoint, SPyNet and Sfm Learner.

Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.

Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models

SuperPoint with pretrain model and implement in Tensorflow C++