Image and Video Colorizer

This project uses deep learning models to colorize grayscale images and videos automatically. The system applies neural networks to generate realistic colorizations from black-and-white input data.

Features

• Colorizes static grayscale images.
• Colorizes grayscale video frames.
• Real-time processing with high-quality output.
• Implements state-of-the-art deep learning models for image and video colorization.

Installation

1. Clone the repository:

   git clone https://github.com/Somesh-Kennedy/Image_Video_Colorizer.git
   cd Image_Video_Colorizer

2. Install dependencies:

   pip install -r requirements.txt

Usage

For Image Colorization:

python colorize_image.py --input path_to_grayscale_image --output path_to_output_image

For Video Colorization:

python colorize_video.py --input path_to_grayscale_video --output path_to_output_video

Requirements

• Python 3.x
• TensorFlow or PyTorch (depending on implementation)
• OpenCV

Contributing

Feel free to fork this repository, create a branch, and submit a pull request with improvements or bug fixes.

License

This project is licensed under the MIT License - see the LICENSE file for details.