ImageColorization

This project aims to provide a solution for colorizing black and white images using deep learning techniques.

Description

ImageColorization is a Python-based project that utilizes deep learning models to automatically add color to black and white images. The project leverages the power of convolutional neural networks (CNNs) to learn the mapping between grayscale and color images.

Features

• Automatic colorization of black and white images
• Support for various image formats (e.g., JPEG, PNG)
• Easy-to-use command-line interface
• Customizable colorization options

Installation

1. Clone the repository:

   git clone https://github.com/your-username/ImageColorization.git

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Navigate to the project directory:

   cd ImageColorization

2. Run the colorization script:

   python colorize.py --input path/to/input_image.jpg --output path/to/output_image.jpg

   Replace path/to/input_image.jpg with the path to your black and white image, and path/to/output_image.jpg with the desired path for the colorized output image.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository
2. Create a new branch
3. Make your changes
4. Submit a pull request

Contact

For any questions or inquiries, please contact the project maintainer at deondmello.com.