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deep-homography-estimation-pytorch

PyTorch implementation of Deep Homography Estimation.

deepvo

dxslam

dxslam_ros

ROS wrapper for DXSLAM and ORB_SLAM2 (getting RGBD from ROS topics, and publish estimated poses to ROS topic and tf)

fast-tracker

gcnv2_slam

Real-time SLAM system with deep features

gcnv2_slam_ros

Add ROS support and Mono example

hfnet_slam

HFNet-SLAM: An accurate and real-time monocular SLAM system with deep features

kitti_raw_data

lightglue

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

mono0826.github.io

我的hexo博客

mvision

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

orb_slam3-rgbd-inertial

RGBD-inertial mode and its ROS interface was added to ORB_SLAM3. Two ROS interfaces Mono_inertial and Stereo_inertial were provided. Modified the loading vocabulary in a faster binary way.

orb_slam3_detailed_comments

Detailed comments for ORB-SLAM3

pytorch-superpoint

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

supergluepretrainednetwork

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

superpoint

Efficient neural feature detector and descriptor

superpoint-orb_slam2

superpoint-pytorch

Pytorch Implementation of rpautrat/SuperPoint

superpoint_modified

superpoint feature extraction without dynamic points

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

thermal_superpoint_slam

Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2

vins-mono-superpoint

VINS-Mono support superpoint to extract features