Image Colors Detector 🎨

🧪Demo

📝Content

• Overview
• Technologies
• Features
• Project Structure
• Run Project
• Contributing
• Contact

🗺️Overview

The Image Colors Detector is a desktop application designed to help users identify and analyze colors in images. By clicking on any point in an image, users can get detailed information about the color at that point, including its RGB and hexadecimal values.

👨‍💻Technologies

• CustomTkinter: Provides enhanced GUI components over standard Tkinter.
• OpenCV (cv2): For image processing tasks.
• Pandas: For handling color data and conversions.
• Pillow (PIL): For image file operations.

👀Features

• Interactive Image Viewing: Click on any part of an image to see color details.
• Color Data Display: Shows RGB and hexadecimal values.
• User-Friendly Interface: Easy to navigate GUI for all user levels.

🗃️Project Structure

• color-wheel.ico: Icon for the application.
• colors.csv: CSV file containing color data.
• detector.py: Main Python script for detecting colors.
• requirements.txt: Required Python packages.

✅Run Project

1. Clone the repository:

git clone https://github.com/buroff1/image-colors-detector.git
cd image-colors-detector

2. Install dependencies:

pip install -r requirements.txt

3. Run the application: python detector.py

🤝Contributing

Interested in contributing? Follow these steps:

1. Fork the repo.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a pull request.

📧Contact

• Email: artem.burov0205@gmail.com
• GitHub: buroff1