Conditions | 1 |
Total Lines | 10 |
Code Lines | 10 |
Lines | 0 |
Ratio | 0 % |
Changes | 0 |
1 | import torch |
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19 | def test_same_affine(self): |
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20 | image = tio.ScalarImage(tensor=torch.rand(2, 2, 2, 2)) |
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21 | mask = tio.LabelMap(tensor=torch.rand(2, 2, 2, 2)) |
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22 | mask.affine *= 1.1 |
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23 | subject = tio.Subject(t1=image, mask=mask) |
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24 | transform = tio.CopyAffine('t1') |
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25 | transformed = transform(subject) |
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26 | self.assertTensorEqual( |
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27 | transformed['t1'].affine, |
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28 | transformed['mask'].affine, |
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29 | ) |
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30 |