image-enhancer-cv 0.1.0
A Python library for AI-powered image processing.
Requires Python: >=3.7

# Image Enhancer Library
        
        ## 🚀 Overview
        **Image Enhancer** is a Python library that provides AI-powered image processing capabilities, including:
        - **Background Removal** (using `rembg`)
        - **Image Enhancement** (brightness & contrast adjustment with OpenCV)
        
        This package is designed for developers who need quick and efficient image processing in their Python projects.
        
        ---
        
        ## 📦 Installation
        
        Install the package using `pip`:
        ```bash
        pip install image_enhancer
        ```
        
        Or install the latest development version:
        ```bash
        git clone https://github.com/yourusername/image_enhancer.git
        cd image_enhancer
        pip install .
        ```
        
        ---
        
        ## 🎯 Features
        ✅ **Remove Backgrounds** - Automatically remove backgrounds from images.
        ✅ **Enhance Images** - Adjust brightness and contrast for better clarity.
        ✅ **Easy to Use** - Simple functions for quick integration into projects.
        ✅ **Lightweight** - Optimized for fast performance.
        
        ---
        
        ## 🛠️ Usage
        
        ### **1️⃣ Remove Background from an Image**
        ```python
        from image_enhancer.processing import remove_background
        
        remove_background("input.jpg", "output.png")
        ```
        
        ### **2️⃣ Enhance Image (Brightness & Contrast Adjustments)**
        ```python
        from image_enhancer.processing import enhance_image
        
        enhance_image("input.jpg", "enhanced.jpg")
        ```
        
        ---
        
        ## 🏗️ Project Structure
        ```
        image_enhancer/
        │── image_enhancer/       # Library Code
        │   │── __init__.py       # Package Initialization
        │   │── processing.py      # Image Processing Functions
        │── tests/                # Unit Tests
        │── setup.py              # Package Metadata
        │── pyproject.toml        # Build System
        │── README.md             # Documentation
        │── LICENSE               # License Information
        │── .gitignore            # Ignore Unnecessary Files
        ```
        
        ---
        
        ## ⚡ Development & Contribution
        
        ### **Setup a Local Development Environment**
        ```bash
        git clone https://github.com/yourusername/image_enhancer.git
        cd image_enhancer
        pip install -r requirements.txt
        ```
        
        ### **Run Tests**
        ```bash
        pytest tests/
        ```
        
        ### **Contribute**
        1. Fork the repository 🍴
        2. Create a new feature branch (`git checkout -b feature-name`)
        3. Make changes and commit (`git commit -m "Add feature"`)
        4. Push changes (`git push origin feature-name`)
        5. Create a Pull Request 🚀
        
        ---
        
        ## 📜 License
        This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
        
        ---
        
        ## 💬 Support
        For any issues or feature requests, open an [issue on GitHub](https://github.com/yourusername/image_enhancer/issues).
        
        ---
        
        ## 🌟 Acknowledgments
        - Built with **FastAPI, OpenCV, and rembg** for AI-powered image processing.
        - Inspired by modern AI-driven photo editors.
        
        ⭐ **Give the project a star on GitHub if you find it useful!** ⭐