def extract_data(self):
"""Extracts data from qucsdata file into results"""
self.results = extract.load_data(self.out).__dict__
plt.title('Original')
img = img.reshape(28, 28)
plt.imshow(img, cmap='gray')
plt.axis('off')
plt.subplot(1, 2, 2)
plt.title('Adversarial')
adv = adv.reshape(28, 28)
plt.imshow(adv, cmap='gray')
plt.axis('off')
plt.show()
if __name__ == "__main__":
# Loading Model
backend.set_learning_phase(False)
keras_model = load_model('model.h5')
# Loading MNIST Dataset
(x_train, y_train), (x_test, y_test) = load_data()
x_train = x_train.reshape(60000, 28, 28, 1)
x_test = x_test.reshape(10000, 28, 28, 1)
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
x_test /= 255
#the 10 images to attack
images = x_test[:10]
labels = y_test[:10]
def extract_data(self):
"""Extracts data from qucsdata file into results"""
self.results = extract.load_data(self.out).__dict__