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orbslam2_modified_ros

Provides some documents so that Dr. Gao Xiang's ’ORBSLAM2_with_pointcloud_map‘ can work under ROS

orbslam2_with_pointcloud_map

orbslam_mapsave

ORB_SLAM2 with Map Save/Load Function.Without ROS Environment

orbslam_mapsave_rgbd

orb_line_slam

line feature based SLAM, modified based on the famous ORB-SLAM2

orb_slam

A Versatile and Accurate Monocular SLAM

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam2_astra

to run orb slam2 with orbbec astra and pcl 3d mapping

orb_slam2_dense

dense pointcloud version ORB_SLAM2_dense

orb_slam2_enhanced

ORB_SLAM2 with map load/save function

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

pcl

Point Cloud Library (PCL)

person_search_demo

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

pg_bow_demo

Image Classification using Bag of Words and Spatial Pyramid BoW

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pl-slam

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

pl-svo

This code contains an algorithm to compute monocular visual odometry by using both point and line segment features, based on the open source version of SVO.

planarslam

Plane based SLAM system

plot-slamorb

for BF

pop_up_image

Pop up 3D plane model from single image

posegraph-ceres

An offline tool for pose-graph-optimization.

projects-summary

本人完成的项目汇总

ptam-gpl

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-in-action

pytorch-learning

pytorch_amoc

AMOC, "Video-based Person Re-identification with Accumulative Motion Context".

quad-sim

A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design

qwidgetdemo

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！