🎨 Chromalyze: Real‑Time Color Detection System

Chromalyze is a real‑time color detection system built with OpenCV.
Instantly detect and track colors from a live camera feed with an intuitive interface and customizable color database.

---

✨ Features

✅ Real‑Time Color Detection – Instantly identify colors from your webcam or camera feed
✅ Customizable Color Database – Add or edit your own palettes
✅ Intuitive Interface – Minimal and easy to use
✅ High Accuracy – Powered by OpenCV for speed and reliability
✅ Versatile Applications – From digital design to retail color matching and object tracking

---

🛠️ Tech Stack

• 🐍 Python 3
• 📷 OpenCV
• 🔧 NumPy
  (All dependencies are listed in requirements.txt)

⚡ Getting Started

🔧 Installation

# Clone this repository
git clone https://github.com/dj-ayush/Computer-vision.git

Navigate to Chromalyze directory

cd Computer-vision/Chromalyze

Install required dependencies

pip install -r requirements.txt

▶️ Run the Application

  python chromalyze.py

---

🌟 Use Cases

🎨 Digital Design – Quickly grab HEX/RGB codes for design workflows

🛍️ Retail Color Matching– Match product or fabric colors in real time

📌 Object Tracking – Detect and follow objects by their color

---

📂 Project Structure

Chromalyze/
│
├── chromalyze.py      # Main application
├── color_data/        # Color database files
├── assets/            # Screenshots / UI assets
└── README.md          # Project documentation

---

⚙️ Getting Started

---

1. Clone the repo

git clone https://github.com/dj-ayush/Computer-vision.git
cd Computer-vision/Chromalyze

2. Create & activate a virtual environment

python -m venv venv
# On Windows
venv\Scripts\activate
# On Mac/Linux
source venv/bin/activate

---

3. Install dependencies

---

pip install -r requirements.txt

---

4. Run the app

---
python chromalyze.py

---

🤝 Contributing

We welcome contributions!

1. Fork the repo
2. Create a new branch: git checkout -b feature-name
3. Commit your changes: git commit -m "Added feature"
4. Push to your branch: git push origin feature-name
5. Create a pull request 🚀

---

📄 License

This project is licensed under the MIT License.

---

Built with ❤️ by @dj-ayush