Color Detection in Images 🖼️🎨

This Python application allows users to upload an image, detect the colors at specific points by double-clicking, and get the color name along with its RGB values.

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Features ✨

• File Upload: Select any image file (.jpg, .jpeg, .png) via a graphical file chooser.
• Color Identification: Double-click on any area in the image to get the closest color name and its RGB values.
• Interactive UI: The application dynamically updates the image with a color overlay and text display.
• Supports Light and Dark Colors: Text is automatically adjusted for better visibility based on the background.

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Demo 📸

1. Upload an Image: Use the file dialog to upload an image.

2. Identify Colors: Double-click anywhere on the image to display the detected color name and RGB values.

3. Output Example:

   • Uploaded Image:

   • Color Detection in Action:

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Installation & Setup ⚙️

Follow the steps below to run this application on your local system.

Prerequisites

Ensure you have the following installed:

• Python 3.8+
• Python libraries: opencv-python, pandas, numpy, tkinter

You can install the dependencies using the command:

pip install opencv-python pandas numpy

Clone the Repository

• Clone the repository to your local system:

git clone https://github.com/your-username/color-detection.git
cd color-detection

Add the Required Files

colors.csv: Ensure colors.csv is placed in the root directory of the project. This file should contain color information in the format:

• color,color_name,hex,R,G,B
• Red,Red,#FF0000,255,0,0
• Green,Green,#00FF00,0,255,0
• Blue,Blue,#0000FF,0,0,255 ...

You can find a sample colors.csv file online or generate your own.

How to Run 🏃‍♂️

Navigate to the project directory:

cd color-detection

Run the application:

python color_detection.py

Follow the instructions:

• A file dialog will appear. Select the image you want to analyze.
• Double-click on any part of the image to identify the color.

Exit the application:

• Press Esc or close the window to exit.

Usage Example 💡

Input: A sample image.

• Action: Double-click on the image to detect colors.
• Output: The color name and its RGB values are displayed on the image in real time.

Technical Stack 🛠️

• Python: Core programming language.
• OpenCV: For image processing and UI interaction.
• Pandas: For reading and processing the color data from colors.csv.
• Numpy: For numerical computations.
• Tkinter: For the file upload dialog.

File Structure 📂

color-detection/
│
├── color_detection.py # Main Python script
├── colors.csv # CSV file containing color data
├── README.md # Project documentation
└── requirements.txt # Dependencies for the project

Additional Features to Add 📌

If you're looking to enhance this project, consider adding:

• Real-time Camera Input: Use a webcam to detect colors in real-time.
• Output Logging: Save detected colors and their RGB values to a file.
• Image Filters: Add functionality to filter specific colors in the image.

License 📜

• This project is licensed under the MIT License.

Contributions 🤝

• Contributions, issues, and feature requests are welcome! Feel free to check the issues page or submit a pull request.

Author 👤

Harsha

• GitHub: HARSHAVINJAMURI
• Email: [email protected]