# 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