githubwys

githubwys's Stars

• yuecideng/Multiple_Planes_Detection

  A fast and simple method for multi-planes detection from point cloud

  Language:Python9616

• electech6/ORB_SLAM2_detailed_comments

  Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

  Language:C++1.6k555

• opencv/opencv_contrib

  Repository for OpenCV's extra modules

  Language:C++9.5k5.8k

• chrieke/InstanceSegmentation_Sentinel2

  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

  Language:Jupyter Notebook398124

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python145k27.2k

• leiurayer/downkyi

  哔哩下载姬downkyi，哔哩哔哩网站视频下载工具，支持批量下载，支持8K、HDR、杜比视界，提供工具箱（音视频提取、去水印等）。

  Language:C#21.6k2.4k

• HarborC/JLinkage

  JLinkage is the most popular method for detecting vanishing point and this repository is the C++ version of JLinkage which can be directly used in Linux.

  Language:C++4112

• HarborC/PL-SLAM

  PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》

  Language:C++23063

• danping/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)

  Language:Python9617

• razayunus/ManhattanSLAM

  A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

  Language:C++15140

• UZ-SLAMLab/ORB_SLAM3

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

  Language:C++6.8k2.6k

• raulmur/ORB_SLAM

  A Versatile and Accurate Monocular SLAM

  Language:C++1.5k819

• cnqiangfu/PL-VINS

  PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

  Language:C++437122

• HeYijia/PL-VIO

  monocular visual inertial system with point and line features

  Language:C++577135

• xiaohulugo/VanishingPointDetection

  2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World

  Language:C22574

• iago-suarez/ELSED

  ELSED: Enhanced Line SEgment Drawing

  Language:Jupyter Notebook25452

• cedrusx/slam_benchmarks

  An index to SLAM benchmarks, competition, datasets, evaluation tools

  318

• tp02134/ELSED

  ELSED: Enhanced Line SEgment Drawing

  Language:Jupyter Notebook61

• yanyan-li/PlanarSLAM

  A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

  Language:C++39385

• url-kaist/UV-SLAM

  UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping

  Language:C++26244

• joanpepcompany/MSC-VO

  This repository includes an RGB-D VO system that combines both point and line features and leverages, if exist, structural regularities and the Manhattan axes of the scene.

  Language:C++7822

• MRPT/mrpt

  :zap: The Mobile Robot Programming Toolkit (MRPT)

  Language:C++2k634

• stevenlovegrove/Pangolin

  Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

  Language:C++2.4k857

• gaoxiang12/slambook2

  edition 2 of the slambook

  Language:C++5.6k2k

• HKUST-Aerial-Robotics/VINS-Mono

  A Robust and Versatile Monocular Visual-Inertial State Estimator

  Language:C++5.1k2.1k

• HKUST-Aerial-Robotics/VINS-Fusion

  An optimization-based multi-sensor state estimator

  Language:C++3.6k1.4k

• syllinlin/GVINS_Noted_ByLSY

  Language:C++347

• HKUST-Aerial-Robotics/GVINS

  Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

  Language:C++922237

• marquistj13/TongjiThesis

  同济大学硕博士论文LaTeX模板

  Language:TeX321106

• iperov/DeepFaceLab

  DeepFaceLab is the leading software for creating deepfakes.

  Language:Python16.6k95