This project implements an object counting system using the YOLOv8 object detection model from Ultralytics. The system detects and counts objects of specified classes in a video stream in real-time. It utilizes computer vision techniques to track objects as they move across a predefined line or region of interest.

1. Clone the repository:

git clone https://github.com/mahdi-marjani/object-tracking-entry-exit.git

2. Change directory to the cloned repository:

cd object-tracking-entry-exit

3. Install the required dependencies:

pip install -r requirements.txt

4. Run the scripts:

python3 main.py