def test_DATAAUGMENTATION_BASE_infauf(self):
data_aug = Data_Augmentation()
data_aug.infaug = True
for axis in data_aug.infaug_flip_list:
data_aug.infaug_flip_current = axis
img_aug = data_aug.run_infaug(self.img3D)
self.assertFalse(np.array_equal(img_aug, self.img3D))
img_aug = data_aug.run_infaug(img_aug)
self.assertTrue(np.array_equal(img_aug, self.img3D))
def test_DATAGENERATOR_inferenceAug(self):
data_aug = Data_Augmentation()
pp_fi = Preprocessor(self.data_io,
batch_size=4,
data_aug=data_aug,
prepare_subfunctions=False,
prepare_batches=False,
analysis="fullimage")
data_gen = DataGenerator([self.sample_list[0]],
pp_fi,
training=False,
shuffle=False,
iterations=None)
pred_list_inactive = []
for batch in data_gen:
pred_list_inactive.append(batch)
data_aug.infaug = True
pred_list_active = []
for batch in data_gen:
pred_list_active.append(batch)
for i in range(0, len(pred_list_active)):
ba = pred_list_active[i]
bi = pred_list_inactive[i]
self.assertFalse(np.array_equal(ba, bi))