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Spades - Neural Style Transfer

Spades is a Neural Style Transfer (NST) project that applies artistic styles to images using deep learning. The project leverages a pre-trained VGG19 model to extract content and style features, blending them to create visually stunning artwork.

Features

  • Uses VGG19 for feature extraction
  • Transfers artistic styles from one image to another
  • Supports high-resolution image processing
  • Can be extended into a web-based application using Flask

Tech Stack

  • Python (Primary language)
  • TensorFlow / PyTorch (Deep learning framework)
  • OpenCV (Image processing)
  • Matplotlib (Visualization)
  • Flask (Optional - for a web UI)

Installation

Ensure you have Python installed, then install dependencies:

pip install tensorflow torch torchvision opencv-python numpy matplotlib flask

Project Structure

Spades/
│── main.py                # Runs the NST process
│── style_transfer.py       # Core NST logic
│── utils.py                # Helper functions
│── models/                 # Pre-trained VGG19
│── images/                 # Input and output images
│── static/                 # (For Flask) Stores processed images
│── templates/              # (For Flask) HTML files for UI

Usage

Run the script to apply style transfer:

python main.py

Next Steps

  • Implement optimization for style blending
  • Add a Flask web interface
  • Allow real-time NST with video processing

License

This project is open-source under the MIT License.