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catkin_ws

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

evo

Python package for the evaluation of odometry and SLAM

gaoxiang12-slambook

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

livox_camera_lidar_calibration

Calibrate the extrinsic parameters between Livox LiDAR and camera

maozedonganthology

***选集

maskfusion

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

maskyolo_caffe

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

opencv-practical-exercise

OpenCV practical exercise

orb-slam2_with_semantic_label

深度学习 YOLO-V3 结合 orb-slam2 语义地图

orb_slam2

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

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

ros-study

scoialrobot

Automatically exported from code.google.com/p/scoialrobot

slambook2

edition 2 of the slambook

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)

yolo-fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

yolov4detect

C++ project of Yolov4