Color Detection Project

This project enables real-time detection of user-defined color objects using a webcam. Users input a color name, and the program identifies objects of that color by converting it to its HSV range, applying a mask, and detecting contours.

Libraries Used

• Numpy: For numerical operations and array handling.
• OpenCV: For image processing and real-time object detection.
• Webcolors: For converting color names to RGB values.
• Pillow: For image manipulation and additional utilities.

Features

• Detects objects of a user-defined color in real time.
• Highlights detected objects using contours.
• Allows customization of colors through simple name input.

How It Works

1. Users input the name of a color (e.g., "red", "blue").
2. The program retrieves the RGB value of the color using webcolors.
3. RGB values are converted to HSV for accurate color detection.
4. A mask is applied to filter the specified color range.
5. Detected objects are outlined using contours.

Requirements

• Python 3.6 or higher
• Libraries: numpy, opencv-python, webcolors, Pillow

Install the dependencies using:

pip install numpy opencv-python webcolors Pillow

Usage

• Clone this project
• Run the script using:

main.py

• Enter a color name when prompted.
• The program will display a video feed highlighting objects matching the specified color.