def main():
# Open master image in RGB mode
master_image = Image.open("obama.png").convert(mode="RGB")
width, height = master_image.size
# Create initial polygons
polygons = []
for i in range(200):
x_points = np.random.random_integers(low=0,high=width,size=3).tolist()
y_points = np.random.random_integers(low=0,high=height,size=3).tolist()
points = zip(x_points, y_points)
color = tuple(np.random.random_integers(low=0, high=255, size=4).tolist())
polygon = Polygon(points, color)
polygons.append(polygon)
# Create initial DNA
parent = DNA(polygons, master_image)
# Evolve DNA and breed fittest
for i in range(1000):
child = parent.breed()
if child.fitness < parent.fitness:
parent = child
# Save image and polygon information
parent.save()
