YOLO Object Detection and Car Tracking

Overview

This project implements real-time object detection and vehicle tracking using the YOLOv8 model. The system detects cars in video footage, tracks their movement, calculates their speed, and displays relevant information.

Features

• Detects and tracks vehicles using the YOLOv8 model.
• Calculates vehicle speed based on movement across defined lines.
• Saves the video output with overlays for bounding boxes and speed information.
• Logs car data (speed, object ID, timestamps) to a text file for analysis.

Requirements

• Python 3.x
• OpenCV
• Ultralytics YOLO (Install using pip install ultralytics)
• Pandas
• Numpy

Installation

1. Clone this repository:

   git clone https://github.com/ZIEDSAGGUEM/counting_cars.git
   cd counting_cars
   

2. Run the script:

   python speed.py