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#!/usr/bin/env python |
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"""Tests for `utils` package.""" |
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import unittest |
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import torch |
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import numpy as np |
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import SimpleITK as sitk |
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from torchio import LABEL, INTENSITY, RandomFlip |
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from torchio.utils import ( |
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to_tuple, |
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get_stem, |
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guess_type, |
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sitk_to_nib, |
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apply_transform_to_file, |
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) |
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from .utils import TorchioTestCase |
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class TestUtils(TorchioTestCase): |
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"""Tests for `utils` module.""" |
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def test_to_tuple(self): |
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assert to_tuple(1) == (1,) |
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assert to_tuple((1,)) == (1,) |
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assert to_tuple(1, length=3) == (1, 1, 1) |
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assert to_tuple((1, 2)) == (1, 2) |
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assert to_tuple((1, 2), length=3) == (1, 2) |
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assert to_tuple([1, 2], length=3) == (1, 2) |
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def test_get_stem(self): |
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assert get_stem('/home/image.nii.gz') == 'image' |
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assert get_stem('/home/image.nii') == 'image' |
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assert get_stem('/home/image.nrrd') == 'image' |
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def test_guess_type(self): |
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assert guess_type('None') is None |
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assert isinstance(guess_type('1'), int) |
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assert isinstance(guess_type('1.5'), float) |
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assert isinstance(guess_type('(1, 3, 5)'), tuple) |
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assert isinstance(guess_type('(1,3,5)'), tuple) |
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assert isinstance(guess_type('[1,3,5]'), list) |
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assert isinstance(guess_type('test'), str) |
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def test_check_consistent_shape(self): |
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good_sample = self.sample |
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bad_sample = self.get_inconsistent_sample() |
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good_sample.check_consistent_shape() |
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with self.assertRaises(ValueError): |
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bad_sample.check_consistent_shape() |
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def test_apply_transform_to_file(self): |
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transform = RandomFlip() |
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apply_transform_to_file( |
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self.get_image_path('input'), |
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transform, |
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self.get_image_path('output'), |
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verbose=True, |
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) |
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def test_sitk_to_nib(self): |
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data = np.random.rand(10, 10) |
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image = sitk.GetImageFromArray(data) |
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tensor, affine = sitk_to_nib(image) |
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self.assertAlmostEqual(data.sum(), tensor.sum()) |
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fepegar /
torchio
