Parking Space Detection

Description

This Python project provides a solution for real-time parking space detection and analysis using computer vision techniques. The system processes images or video feeds to determine the availability of parking spaces in a given area.

Features

• Real-time Detection: Detects and marks parking spaces in real-time based on the provided input (images, videos, or camera feed).
• Interactive Initialization: Allows users to interactively mark parking spaces on a reference image for initialization.
• Visual Feedback: Provides visual feedback on the number of free parking spaces available.

Usage

Mark Parking Spaces

1. Run the ParkingSpacePicker.py script to mark parking spaces on a reference image:

   python ParkingSpacePicker.py

   • Left-click to mark a parking space.
   • Right-click to remove a marked parking space.
   • Close the window to save the marked positions.

Analyze Parking Spaces

2. Run the main.py script to analyze parking space availability in a video feed:

   python main.py

   • The script will process the video feed and display the parking spaces in real-time, indicating the availability of each space.

Prerequisites

• Python 3.x
• OpenCV
• numpy
• cvzone

Installation

1. Clone the repository:

   git clone https://github.com/your_username/your_repository.git

2. Navigate to the project directory:

   cd your_repository

3. Install the required dependencies:

   pip install -r requirements.txt

Customization

You can customize the parameters in the scripts (main.py, ParkingSpacePicker.py) according to your requirements.

A taste of the project 🚗🚙