"""
by Marco Lui
This experiment varies the selection operator, rendering each image for
5000 generations using each operator.
"""
from imgevolve import main, default, cleanup
import os
if __name__ == "__main__":
gens = 5000
for file in ['ml.bmp', 'lena.jpg', 'starry.jpg']:
for op in ['roulette', 'tournament', 'rank']:
basename = os.path.splitext(file)[0]
dirname = 'render_test/%s_%s_%d'%(basename,op,gens)
cleanup(dirname)
options=default._replace( gens=gens
, output_freq=100
, output_dir=dirname
, sel_op=op
)
main(options, file, dirname+'.svg')
"""
by Marco Lui
This experiment renders each target image specified using each of the 4
fitness functions, for 5000 generations. It assumes that the target images
are in the same folder as the program.
"""
from imgevolve import main, default, cleanup
import os
if __name__ == "__main__":
gens = 5000
for file in ['ml.bmp', 'lena.jpg', 'starry.jpg']:
for alg in ['rms', 'percept', 'square', 'abs']:
basename = os.path.splitext(file)[0]
dirname = 'render_test/%s_%s_%d'%(basename,alg,gens)
cleanup(dirname)
options=default._replace( gens=gens
, output_freq=100
, output_dir=dirname
, eval_func = alg
)
main(options, file, dirname+'.svg')
