This project implements a real-time rectangle and square detection system using OpenCV. It applies Gaussian blur, Canny edge detection, and contour finding to detect shapes in video captured from a webcam. The program also uses a simple Tkinter GUI to display the video stream and the results of the detection.

Python 3.x OpenCV NumPy Tkinter PIL (Python Imaging Library) You can install the necessary libraries using pip:

bash Copy code pip install opencv-python numpy pillow

To run the program, simply execute the python file in your terminal:

bash Copy code python rectangle_detector.py

This program takes video input from a webcam and processes each frame to detect rectangles and squares. Detected rectangles and squares are highlighted on the video and their width and height in pixels are displayed on screen.

The current implementation has a simple detection algorithm and might not perfectly detect all rectangles and squares. Future versions of this project may use machine learning or other advanced techniques to improve detection accuracy.

This project is licensed under the terms of the MIT license.