zhengminghu's repositories
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
dispnet-flownet-docker
Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
dlib
A toolkit for making real world machine learning and data analysis applications in C++
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.
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
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:
InfiniTAM
A Framework for the Volumetric Integration of Depth Images
lane-slam
SLAM using line
limo
Lidar-Monocular Visual Odometry
LOAM-multi-thread
Adjust the original LOAM to a multi-threaded version which doesn't require ROS.
object-tracker
Object Tracker written in Python using dlib and OpenCV
OpenCV-Python-Hacks
Object tracking and optical flow in OpenCV
ORB-SLAM-RGBD-with-Octomap
ORB_SLAM with Octomap
orb-slam2_with_semantic_label
orb-slam2 with semantic label
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
Printrun
Pronterface, Pronsole, and Printcore - Pure Python 3d printing host software
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
SARosPerceptionKitti
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
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
SIVO
SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.
slamtb
SLAM Toolbox
Sophus
C++ implementation of Lie Groups using Eigen.
spaint
A framework for interactive, real-time 3D scene segmentation
VINS-Fusion
An optimization-based multi-sensor state estimator