This system uses the YOLOv5 object detection algorithm to detect and count the number of cars parked in a parking lot. It can be used in various scenarios such as automated parking management systems, parking lot occupancy detection, etc.

Installation

To use this system, you will need to have the following installed:

Python 3.6 or higher
PyTorch 1.7 or higher
OpenCV
YOLOv5

You can install these dependencies using the following command:

pip install -r requirements.txt

Usage

Clone the repository to your local machine.
Navigate to the parking_lot_detection directory.
Place your input video in the input directory.
Run the Main.py

Customization

If you wish to customize the detection settings, you can modify the main.py file. For example, you can change the confidence threshold or the path to the YOLOv5 weights file.

Credits

This project is based on the YOLOv5 object detection algorithm by Ultralytics LLC