import os
import random
from imagecrosser import ImageCrosser
from patternedimage import PatternedImage
from shared import shared
if __name__ == '__main__':
dims = (1080, 1080)
dpis = [2880 // i for i in [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 15, 16]]
print(dpis)
# img = PatternedImage.new(PatternedImage.diamonds, dims=dims, colours=[(209, 123, 193), (123, 193, 209), (12, 19, 29)])
# img = PatternedImage.new(PatternedImage.stripedMulti, dims=dims, colours=shared.randomRGBContrasting(5))
# img = PatternedImage.new(PatternedImage.diamonds, dims=dims, colours=shared.randomRGBPair())
currentGen = [PatternedImage.new(dims=dims) for i in range(10)]
now = datetime.datetime.now()
folder = now.strftime("generations\%Y%m%d_%H%M%S")
os.mkdir(folder)
for genID in range(12):
print("\nWriting generation {}: ".format(genID), end='')
count = 0
for img in currentGen:
print("{}, ".format(count), end='')
# img.save("{}\gen{}_{}.jpg".format(folder, genID, count))
img.save("{}\gen{}_{}.png".format(folder, genID, count))
count += 1
"""
Experiment to use Pillow to create Gaussians and help populate the stored distributions
"""
from patternedimage import PatternedImage
from shared import shared
if __name__ == '__main__':
dims = (1080, 1080)
img = PatternedImage.new(PatternedImage.gaussian, dims=dims, colours=[(0, 0, 0), (255, 255, 255), (0, 0, 0)]) # shared.randomRGBContrasting(2)) # [(209, 123, 193), (123, 193, 209)])
img.show()