Skip to content

This Python notebook presents a Neural Style Transfer project, an image processing technique based on neural networks. It allows you to combine the styles of a source image (style reference image) with the content of a target image to generate a new image.

Notifications You must be signed in to change notification settings

thibaud-perrin/art-generation-NST

Repository files navigation

thibaud-perrin/art-generation-NST Neural Style Transfer

This Python notebook presents a Neural Style Transfer project, an image processing technique based on neural networks. It allows you to combine the styles of a source image (style reference image) with the content of a target image to generate a new image.

🖼️ Preview

Van Gogh

Monet

📚 Requirements

  • Python 3.x
  • TensorFlow 2.x
  • Numpy
  • Matplotlib
  • Pillow
  • pprint
  • ipywidgets
  • tqdm

🛠️ Installation

Clone this repository to your local computer:

git clone [email protected]:thibaud-perrin/art-generation-NST.git

Launch your python virtual environment and install dependencies using pip:

pip install -r requirements.txt
conda activate art_gen_tf

💪 Usage

The project project is in the notebook: deep_learning_art_neural_style_transfer.ipynb

👨‍🎨 Author

About

This Python notebook presents a Neural Style Transfer project, an image processing technique based on neural networks. It allows you to combine the styles of a source image (style reference image) with the content of a target image to generate a new image.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published