Pytorch implementation of Nueral Style transfer

Overview

Nueral Style Transfer

Pytorch implementation of Nueral style transfer algorithm , it is used to apply artistic styles to content images . Content is the layout or the sketch and Style being the painting or the colors.

Examples

example 1

example 1

Getting Started

Prerequisite

  • Python 3+ (tested on python 3.9)
  • pytorch
  • Nvidia Gpu(not necessary but it will significantly boost your training speed)

Installation

  1. Clone the repo
    git clone https://github.com/abhinav-TB/Neural-Style-Transfer.git
  2. Install python packages
    pip install -r requirements.txt

Training

Command line Arguments

Parameter Type Description
-s string Required. path to style image
-c string Required. path to content image
-e string Required. Number of training loops
-o string Output folder path

start training

python main.py

Example

python main.py -s ./style/style5.jpg -c ./content/trees.jpg -e 2500 

Contributing

Contributions are what makes the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

@abhiGamez on Twitter

Acknowledgements

Owner
Abhinav
DSC Lead| Tech explorer | passionate developer | loves to automate things | problem solving | CSE undergrad @CUSAT
Abhinav
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