A tool for human-machine collaboration in poetry.
An implementation of the handwriting synthesis experiments from Generating Sequences with Recurrent Neural Networks by Alex Graves. The implementation closely follows the original paper, with a few slight deviations, and the generated samples are of similar quality to those presented in the paper.
Based on: github.com/sjvasquez/handwriting-synthesis
# main.py
from hand import Hand
if __name__ == '__main__':
hand = Hand()
lines = [
"Writer has written",
"One writes in kind",
"You see the hand",
"You see the mind",
"Source begets source",
"Begets source",
"Begets source"
]
biases = [.75 for i in lines]
styles = [5 for i in lines]
stroke_colors = ['black' for i in lines]
stroke_widths = [1 for i in lines]
hand.write(
filename='img/out/source.svg',
lines=lines,
biases=biases,
styles=styles,
stroke_colors=stroke_colors,
stroke_widths=stroke_widths,
output_png=False
)