def pipe_no_input(max_batch_size, input_data, device):
pipe = Pipeline(batch_size=max_batch_size, num_threads=4, device_id=0)
data = fn.external_source(source=input_data,
cycle=False,
device=device)
dist = data + fn.normal_distribution()
pipe.set_outputs(dist)
return pipe
def noise_fn(self, img):
img_noised = img + fn.normal_distribution(img, stddev=fn.uniform(range=(0.0, 0.33)))
return self.random_augmentation(0.15, img_noised, img)