Toronto Cityscape with Van Gogh's Starry Night - Neural Style Transfer

Overview

This project combines the iconic cityscape of Toronto with the timeless beauty of Vincent van Gogh's Starry Night painting using neural style transfer techniques. By fine-tuning the VGG-19 neural network architecture, we were able to apply the artistic style of Starry Night to the Toronto cityscape image, creating a unique and visually captivating result.

Prerequisites

Before running this project, ensure you have the following dependencies installed:

• Python 3.x
• TensorFlow
• Keras
• NumPy
• OpenCV
• PIL

Usage

1. Clone the Repository:

   git clone https://github.com/your_username/your_project.git](https://github.com/mehassanhmood/Neural-Style-Transfer.git

2. Navigate to the Project Directory:

   cd your_project

3. Pass the image paths to the Neural Style Transfer Notebook:

   Replace toronto_cityscape.jpg with your Toronto cityscape image and starry_night.jpg with your Van Gogh's Starry Night image. Adjust the output code block to specify the name of the styled output images.

4. View the Result:

   Once the script finishes execution, you can find the styled output image in the project directory.

Credits

• Vincent van Gogh for his masterpiece, Starry Night.
• University of Oxford's Visual Geometry Group (VGG) for providing the VGG-19 model.

License

This project is licensed under the MIT License.