xukuanHIT

nerfplusplus

improves over nerf in 360 capture of unbounded scenes

CS231n-2017-Summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

SuperPoint

Efficient neural feature detector and descriptor

backward-cpp

A beautiful stack trace pretty printer for C++

boteye

correlation_flow

ROS package for Correlation Flow (ICRA 2018)

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

DBow3

Improved version of DBow2

evo

Python package for the evaluation of odometry and SLAM

g2o

g2o: A General Framework for Graph Optimization

git

A repo to make git bash environment user-friendly.

grid_map

Universal grid map library for mobile robotic mapping

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

kalibr

The Kalibr calibration toolbox

librealsense

Intel® RealSense™ SDK

maplab

An open visual-inertial mapping framework.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

MYNT-EYE-OKVIS-Sample

Forked from OKVIS: https://github.com/ethz-asl/okvis

MYNT-EYE-SDK

MYNT EYE SDK

nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

opencv

Open Source Computer Vision Library

OpenCV-Document-Scanner

An interactive document scanner built in Python using OpenCV featuring automatic corner detection, image sharpening, and color thresholding.

ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

pytorch-NetVlad

Pytorch implementation of NetVlad including training on Pittsburgh.

structvio

StructVIO is a tightly-coupled visual-inertial system that incorporates points, lines, and structural lines under Atlantas world assumption. More details are on the project page (http://drone.sjtu.edu.cn/dpzou/project/structvio.html)

SuperGluePretrainedNetwork

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

SuperPointPretrainedNetwork

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