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from torchio import RandomBlur
from ...utils import TorchioTestCase
from numpy.testing import assert_array_equal
class TestRandomBlur(TorchioTestCase):
"""Tests for `RandomBlur`."""
def test_no_blurring(self):
transform = RandomBlur(std=0)
transformed = transform(self.sample)
assert_array_equal(self.sample.t1.data, transformed.t1.data)
def test_with_blurring(self):
transform = RandomBlur(std=(1, 3))
with self.assertRaises(AssertionError):
def test_negative_std(self):
with self.assertRaises(ValueError):
RandomBlur(std=-2)
def test_std_range_with_negative_min(self):
RandomBlur(std=(-0.5, 4))
def test_wrong_std_type(self):
RandomBlur(std='wrong')
fepegar /
torchio
