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autonomous-grabbing-with-rgb-d

This repository contains all the scripts used in the master thesis entitled " Autonmous Grabbing with RGB-D", in which an Intel Realsense D455 camera is used to enable a Kuka IIWA 14 robotic arm grab and track a suspended block with the help of ArUco markers

bowl_test_set

Here are all the training set and test set images of the target objects in the paper (A Hybrid YOLOv4 and Particle Filter Based Robotic Arm Grabbing System in Nonlinear and Non-Gaussian Environment), which have been updated.

deepsort_yolov5_pytorch

DeepSORT + YOLOv5

kcf-dsst-py

Python implementation of DSST tracking algorithm based on KCF tracker.

kcf_tld_tracking_ros

Visual target tracking with KCF and TLD

kcf_tracker_ros

Using kcf algorithm to track target under ROS environment.

kcfpy

Python implementation of KCF tracking algorithm

mechanical-arm

机械臂运动学分析和仿真

mechanical-arm-lab

Implement servo control for mechanical arm and depth camera object detection.

multi-target-recognition-and-grabbing-system-of-collaborative-robot

object-detection-and-tracking

Object Detection and Multi-Object Tracking

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

tracking_by_detection

A system use yolov3/KCF&DSST/KF to detect,tracking and estimate the target location

yolo-jpda

A multi-target detection and tracking algorithm

yolov3-kcf-fast-object-tracker

A fast object tracking pipeline that uses a combination of YOLO's accurate detection and KCF's fast tracking to track a particular object from the Coco dataset

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-deepsort-inference

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

yolov5_strongsort_osnet

A collection of real-time multi-camera multi-object SOTA trackers using YOLOv5