This project implements a car counter using YOLOv8, a state-of-the-art object detection model. The system detects and tracks cars in a video feed, counting the number of cars passing through a specified region of interest.
- Object detection and tracking using YOLOv8
- Real-time car counting
- Customizable region of interest (ROI) for counting cars
- Support for various video formats
- Easy-to-use interface for configuration and monitoring
- use given requirement file to install packages
- note carefully iam using python version 3.10.
- Clone the repository:
git clone https://github.com/YameenAli/CarCounterYolov8.git
- Install dependencies:
pip install -r requirements.txt