Dean's repositories

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

License:NOASSERTIONStargazers:2Issues:0Issues:0

obstacle_detector

A ROS package for 2D obstacle detection based on laser range data.

Stargazers:2Issues:0Issues:0

PythonRobotics

Python sample codes for robotics algorithms.

License:NOASSERTIONStargazers:2Issues:0Issues:0

YOLOv8-DeepSORT-Object-Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

Stargazers:2Issues:0Issues:0

ArUCo-Markers-Pose-Estimation-Generation-Python

Estimating pose using ArUCo Markers

License:MITStargazers:1Issues:0Issues:0

cvzone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

License:MITStargazers:1Issues:0Issues:0

Euro-Truck-Simulator-2-Lane-Assist

Plugin based interface program for ETS2/ATS.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

iros20-6d-pose-tracking

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

License:NOASSERTIONStargazers:1Issues:0Issues:0

lidar_obstacle_detector

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

License:MITStargazers:1Issues:0Issues:0
License:Apache-2.0Stargazers:1Issues:0Issues:0

omo_r1

Official ros package for OMO R1 robot from the original source has been released https://github.com/omorobot/omoros

License:Apache-2.0Stargazers:1Issues:0Issues:0

open3d_slam

Pointcloud-based graph SLAM written in C++ using open3D library.

License:BSD-3-ClauseStargazers:1Issues:0Issues:0

ORB_SLAM3

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

License:GPL-3.0Stargazers:1Issues:0Issues:0

Person_reID_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

License:MITStargazers:1Issues:0Issues:0

rmf

Root repository for the RMF software

License:Apache-2.0Stargazers:1Issues:0Issues:0

robot_navigation

Spiritual successor to ros-planning/navigation.

Stargazers:1Issues:0Issues:0

ros_motion_planning

Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*(A Star), JPS(Jump Point Search), D*(D Star), LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, PID, DWA etc.

License:GPL-3.0Stargazers:1Issues:0Issues:0

StereoKit

An easy-to-use mixed reality library for building HoloLens and VR applications with C# and OpenXR!

License:MITStargazers:1Issues:0Issues:0

vscode

Visual Studio Code

License:MITStargazers:1Issues:0Issues:0

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

License:GPL-3.0Stargazers:1Issues:0Issues:0

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:0Issues:0

bot_box

Universal remote control for robots. Works via the internet.

License:MITStargazers:0Issues:0Issues:0

BundleSDF

[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

License:NOASSERTIONStargazers:0Issues:0Issues:0

nmea_navsat_driver

ROS package containing drivers for NMEA devices that can output satellite navigation data (e.g. GPS or GLONASS).

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

opentcs

The open Transportation Control System (by Fraunhofer IML)

Language:JavaLicense:MITStargazers:0Issues:0Issues:0

rmf_ros2

Internal ROS infrastructure for RMF

License:Apache-2.0Stargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

Ultra-Fast-Lane-Detection-v2

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

License:MITStargazers:0Issues:0Issues:0

Vehicle-CV-ADAS

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv8 and Ultra-Fast-Lane-Detection-v2 .

License:GPL-3.0Stargazers:0Issues:0Issues:0