Color Detection App

A Python-based Color Detection App that identifies the color name of a pixel in an image upon double-clicking. This project uses OpenCV and Pandas to detect color names from a CSV file containing color data.

Table of Contents

• Features
• Installation
• Usage
• Project Structure
• CSV File Format

Features

• Detect RGB Values: Displays the RGB values of the pixel you click on.
• Display Color Names: Shows the name of the color closest to the clicked pixel based on a dataset.
• Light and Dark Color Handling: Adjusts text color for visibility based on light or dark background.

Installation

Prerequisites

• Python 3.x
• OpenCV
• Pandas
• Numpy

Setup

1. Clone this repository:

   git clone https://github.com/AadityaPanda/Image-Colour-Identifier.git

2. Install the required packages:

   pip install opencv-python-headless pandas numpy

3. Ensure you have a colors.csv file in the same directory as the script. A sample CSV format is explained below.

Usage

Run the script from the command line and pass an image file path as an argument:

python color_detection.py -i path_to_image.jpg

How to Use

1. Launch the script with the image path.
2. Double-click on any pixel in the image window to see its color name and RGB values.
3. Press the ESC key to exit the application.

Project Structure

Image-Colour-Identifier/
├── colors.csv               # CSV file with color names and RGB values
├── color_detection.py        # Main Python script for the color detection app
└── README.md                 # Project README

CSV File Format

The colors.csv file should have the following columns:

• color: Index or ID of the color.
• color_name: Name of the color (e.g., Red, Blue).
• hex: Hexadecimal code of the color (e.g., #FFFFFF for white).
• R: Red component (0-255).
• G: Green component (0-255).
• B: Blue component (0-255).

Example CSV Content:

color,color_name,hex,R,G,B
0,Black,#000000,0,0,0
1,White,#FFFFFF,255,255,255
2,Red,#FF0000,255,0,0
...