zhengminghu's repositories
gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
SARosPerceptionKitti
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
VINS-Fusion
An optimization-based multi-sensor state estimator
Sophus
C++ implementation of Lie Groups using Eigen.
LOAM-multi-thread
Adjust the original LOAM to a multi-threaded version which doesn't require ROS.
slamtb
SLAM Toolbox
ORB-SLAM-RGBD-with-Octomap
ORB_SLAM with Octomap
lane-slam
SLAM using line
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
OpenCV-Python-Hacks
Object tracking and optical flow in OpenCV
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
shape_based_matching
try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers
DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
dispnet-flownet-docker
Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
InfiniTAM
A Framework for the Volumetric Integration of Depth Images
dlib
A toolkit for making real world machine learning and data analysis applications in C++
orb-slam2_with_semantic_label
orb-slam2 with semantic label
spaint
A framework for interactive, real-time 3D scene segmentation
SIVO
SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.
Printrun
Pronterface, Pronsole, and Printcore - Pure Python 3d printing host software
pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
limo
Lidar-Monocular Visual Odometry
object-tracker
Object Tracker written in Python using dlib and OpenCV
PSMNet
Pyramid Stereo Matching Network (CVPR2018)