/Object-Detection

Primary LanguagePythonMIT LicenseMIT

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.


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

[OneStage]

YOLO-SORT: Real-Time Object Detection and Tracking


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

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


  • YOLOv3 + SORT - Pedestrian Counting - [Here]