def set_bees(self, nu1, nu2, crossover, mutation):
for i in range(0, self.bee_count):
self.bee_net.append(
(neural_gen.neural(nu1[0], nu1[1], nu1[2], nu1[3]), neural_gen.neural(nu2[0], nu2[1], nu2[2], nu2[3]))
)
self.bee.append(
(random.uniform(0, self.width), random.uniform(0, self.height), random.uniform(0, self.depth), 0)
)
self.bee_old.append(
(random.uniform(0, self.width), random.uniform(0, self.height), random.uniform(0, self.depth), 0)
)
self.bee_net[i][0].init()
self.bee_net[i][1].init()
self.w_num1 = self.bee_net[0][0].get_num_weights()
self.w_num2 = self.bee_net[0][1].get_num_weights()
self.pop = ga.population(self.bee_count, self.w_num1 + self.w_num2, crossover, mutation)
self.chro = self.pop.genarate()
for i in range(0, self.bee_count):
l = self.split_list(self.chro[i])
for j in range(0, 2):
self.bee_net[i][j].put_weights(l[j])
def __init__(self, master=None):
tk.Frame.__init__(self, master)
self.grid()
self.run = [False, False, False, False,
False, False, False, False,
False, False]
self.l_sys = list()
for i in range(0, 10):
self.l_sys.append(None)
self.pause = False
self.file = ''
self.mutex = Lock()
self.p = ga.population(10, 90, 30)
self.fit = list()
for i in range(0, 10):
self.fit.append(0.0)
self.axiom = 'X'
self.angle = 0.0
self.ang = 25.0
self.lst_symbols = [
('F', 'F'),
('[', 'P'),
(']', 'O'),
('+', 'L'),
('-', 'R')
]
self.rl = list()
self.rl.append(('F', 'FF'))
self.rl.append(('', ''))
self.gen_count = 0
self.iter = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
self.x = 300
self.y = 500
self.length = 5
self.rules = self.p.genarate()
self.createWidgets()
bee_net[i][0].init()
bee_net[i][1].init()
for i in range(0, flower_count):
x = random.randrange(50, sizeX-50)
while x > hive[0] - 60 and x < hive[0] + 60:
x = random.randrange(50, 550)
y = random.randrange(50, 550)
while y > hive[1] - 60 and y < hive[1] + 60:
y = random.randrange(50, sizeY-50)
flower.append((x, y, 0))
w_num1 = bee_net[0][0].get_num_weights()
w_num2 = bee_net[0][1].get_num_weights()
pop = ga.population(20, w_num1 + w_num2, 90, 2)
chro = pop.genarate()
def distence(b):
min_d = float(sys.maxint)
min_i = 0
for i in range(0, flower_count):
d = float((bee[b][0] - flower[i][0])) ** 2.0
d = d + float((bee[b][1] - flower[i][1])) ** 2.0
if d < min_d:
min_d = d
min_i = i
return flower[min_i]
def array2image(a, im_g):
mask = 0b00000000000000000000000011111111
pix = im_g.load()
for y in range(0, h):
for x in range(0, w):
g = (a[y * w + x] & mask)
for i in range(0, k):
for j in range(0, k):
pix[x * k + i, y * k + j] = g, g, g
if __name__ == '__main__':
pop = ga.population(psize, gnum, 100, 2)
chro = pop.genarate()
im_g = Image.new("RGB", (w * k, h * k))
im_o = Image.open("test.png").resize((100, 100))
root = Tk()
root.title("image_generati0n")
cnv = Canvas(root, width=width, height=height, background="black")
cnv.grid(row=0, column=0)
o_pix = im_o.load()
array2image(chro[0], im_g)
fit = list()
