object_counting_output.mp4
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.
- Clone the repository:
git clone https://github.com/mahdi-marjani/object-tracking-entry-exit.git
- Change directory to the cloned repository:
cd object-tracking-entry-exit
- Install the required dependencies:
pip install -r requirements.txt
- Run the scripts:
python3 main.py