Object Detection and Tracking

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.

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Environment

I have tested on Ubuntu 16.04/18.04. The code may work on other systems.

[Ubuntu-Deep-Learning-Environment-Setup]

• Ubuntu 16.04 / 18.04

• ROS Kinetic / Melodic

• GTX 1080Ti / RTX 2080Ti

• python 2.7 / 3.6

Installation

Clone the repository

git clone https://github.com/yehengchen/Object-Detection-and-Tracking.git

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[OneStage]

YOLO-SORT: Real-Time Object Detection and Tracking

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• YOLOv4 + Deep_SORT - Pedestrian Counting & Social Distance - [Here]

• YOLOv3 + Deep_SORT - Pedestrian&Car Counting - [Here]

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• YOLOv3 + SORT - Pedestrian Counting - [Here]

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