wenbin-hu

M2DGR-plus

Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

uzh_fpv_open

Repo to accompany the UZH FPV dataset

Ground-Fusion

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

accelerated_features

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

open_vins

[TUD AE4270] SuperPoint & SuperGlue on OpenVINS

open_vins_with_superpoint

Openvins with the learning based feature extractor -- Superpoint

onnx-modifier

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

tutorials

Tutorials for creating and using ONNX models

dci-knn

Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)

kd_tree

A simple kd-tree implementation with C++ STL for Best Bin First search algorithm.

AdaLAM

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

Feature-Detection-and-Matching

Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV

feature-detection-matching-algorithm

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

flann

Fast Library for Approximate Nearest Neighbors

faiss

A library for efficient similarity search and clustering of dense vectors.

OANet

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

SGMNet

Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021

GMS-Feature-Matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

LightGlue

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

SuperGluePretrainedNetwork

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

rpg_svo_pro_open

Awesome-Robotics-Foundation-Models

CyberGPT

This repo is based on AutoGPT for General Mobile Robotics.

FeatureBooster

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)

GlueStick

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

SuperPoint

Efficient neural feature detector and descriptor

CNN_VINS

using SuperPoint as visual front to VINS-Mono