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https://github.com/mehassanhmood/neural-style-transfer

VGG19 --> Neural Style Transfer
https://github.com/mehassanhmood/neural-style-transfer

computer-vision deep-learning neural-style-transfer vgg19

Last synced: 17 days ago
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VGG19 --> Neural Style Transfer

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

![Toronto Cityscape with Van Gogh's Starry Night](Generated-Images/combination_image_at_iteration_500.png)

## 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:**

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

2. **Navigate to the Project Directory:**

```bash
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)](https://www.robots.ox.ac.uk/~vgg/) for providing the VGG-19 model.

## License

This project is licensed under the [MIT License](LICENSE).