def generate(self):
# Select mutation operator.
rand_mutation_probability = random.uniform(0, 1)
if rand_mutation_probability >= MUTOPPROB:
mutation = 1
else:
mutation = 2
condition = True
counter_mutations = 0
while condition:
counter_mutations += 1
vector1, vector2 = mutation_manager.generate(
self.digit.xml_desc, mutation)
v1_xml_desc = vectorization_tools.create_svg_xml(vector1)
rasterized_digit1 = rasterization_tools.rasterize_in_memory(
v1_xml_desc)
v2_xml_desc = vectorization_tools.create_svg_xml(vector2)
rasterized_digit2 = rasterization_tools.rasterize_in_memory(
v2_xml_desc)
distance_inputs = get_distance(rasterized_digit1,
rasterized_digit2)
if distance_inputs != 0:
condition = False
first_digit = Digit(v1_xml_desc, EXPECTED_LABEL)
second_digit = Digit(v2_xml_desc, EXPECTED_LABEL)
first_digit.purified = rasterized_digit1
second_digit.purified = rasterized_digit2
return first_digit, second_digit, distance_inputs
def generate_digit(seed):
seed_image = x_test[int(seed)]
xml_desc = vectorization_tools.vectorize(seed_image)
return Digit(xml_desc, EXPECTED_LABEL, seed)