def generator_train():
image = Gen.generate_img()
misc.toimage(image).show()
test_i = Gen.generate_img(50)
entropy = Dis.use_discrim(test_i, None)
Gen.train_gen(entropy)
image = Gen.generate_img()
misc.toimage(image).show()
return image_batch, class_batch
def generator_train():
image = Gen.generate_img()
misc.toimage(image).show()
test_i = Gen.generate_img(50)
entropy = Dis.use_discrim(test_i, None)
Gen.train_gen(entropy)
image = Gen.generate_img()
misc.toimage(image).show()
images, classes = [], []
for i in range(1):
i_batch, c_batch = create_batch(68)
images.append(i_batch)
classes.append(c_batch)
Dis.train_discrim(1, images, classes)
images = Gen.generate_img(32)
classes = [[0] for i in range(32)]
cost = Dis.use_discrim(images, classes)
Gen.train_gen(cost)
Gen.get_img()