Real-Time Color Detection with OpenCV and PIL

This project demonstrates real-time color detection using OpenCV and PIL (Python Imaging Library). The script captures video from the webcam, detects a specified color (yellow by default), and draws a bounding box around the detected color area in real-time.

Features

Real-time video capture from the webcam.

Detection of a specific color (yellow by default) in the video feed.

Bounding box drawn around the area where the specified color is detected.

Easy-to-customize color detection using the get_limits function.

Requirements

Python 3.6+

OpenCV

PIL (Pillow)

NumPy

Installation

Clone the Repository:

git clone https://github.com/yourusername/ColorDetection.git
cd ColorDetection

Create and activate a virtual environment (optional but recommended):

python3 -m venv color-detection-venv
source color-detection-venv/bin/activate

Install the required dependencies:

pip install opencv-python pillow numpy 

Usage

Run the Script:

 python main.py

The script will access the webcam, detect the specified color (yellow by default), and display a live video feed with a bounding box drawn around the detected color area.

Change the Color to Detect:

The color to detect is specified in BGR format in the yellow variable:

python
yellow = [0, 255, 255]  # yellow in BGR

To detect a different color, modify this variable with the desired BGR values. Quit the Video Feed: Press the q key to exit the video feed and close the webcam.