artificial-artwork 1.1.0

Create artificial artwork by transfering the appearance of one image (eg a famous painting) to another user-supplied image (eg your favourite photograph).

Neural Style Transfer - CLI

Create artificial artwork by transfering the appearance of one image (eg a famous painting) to another user-supplied image (eg your favourite photograph).

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Uses a Neural Style Transfer algorithm to transfer the appearance, which you can run though a CLI program.

Neural Style Tranfer (NST) is an algorithm that applies the style of an image to the contents of another and produces a generated image. The idea is to find out how someone, with the painting style shown in one image, would depict the contents shown in another image.

NST takes a content image (eg picture taken with your camera) and a style image (eg a picture of a Van Gogh painting) and produces the generated image.

This Python package runs a Neural Style Tranfer algorithm on input content and style images to produce generated images.

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Docs: https://boromir674.github.io/neural-style-transfer/

Overview

This package exposes a configurable NST algorithm via a convenient CLI program.

Key features of the package:

• Selection of style layers at runtime

• Iterative Learning Algorithm using the VGG Deep Neural Network

• Selection of iteration termination condition at runtime

• Fast minimization of loss/cost function with parallel/multicore execution, using Tensorflow

• Persisting of generated images

Quick-start

Run a demo NST, on sample Content and Style Images:

mkdir art
export NST_HOST_MOUNT="$PWD/art"

docker-compose up

# Process runs, in containerized environment, and exits.

Check out your Generated Image!

Artificial Artwork: art/canoe_water_w300-h225.jpg+blue-red_w300-h225.jpg-100.png

xdg-open art/canoe_water_w300-h225.jpg+blue-red_w300-h225.jpg-100.png

Usage

Run the nst CLI with the –help option to see the available options.

docker run boromir674/neural-style-transfer:1.0.2 --help

Development

Installation

Install nst CLI and artificial_artwork python package from pypi`:

pip install artificial_artwork

Only python3.8 wheel is included atm.

Sample commands to install the NST CLI from source, using a terminal:

git clone https://github.com/boromir674/neural-style-transfer.git

pip install ./neural-style-transfer

The Neural Style Transfer - CLI heavely depends on Tensorflow (tf) and therefore it is crucial that tf is installed correctly in your Python environment.