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#!/usr/bin/env python |
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"""Tests for Image.""" |
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import torch |
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from torchio import INTENSITY, Image |
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from ..utils import TorchioTestCase |
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from torchio import RandomFlip, RandomAffine |
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class TestImage(TorchioTestCase): |
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"""Tests for `Image`.""" |
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def test_image_not_found(self): |
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with self.assertRaises(FileNotFoundError): |
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Image('nopath', type=INTENSITY) |
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def test_wrong_path_type(self): |
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with self.assertRaises(TypeError): |
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Image(5, type=INTENSITY) |
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def test_wrong_affine(self): |
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with self.assertRaises(TypeError): |
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Image(5, type=INTENSITY, affine=1) |
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def test_tensor_flip(self): |
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sample_input = torch.ones((4, 30, 30, 30)) |
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RandomFlip()(sample_input) |
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def test_tensor_affine(self): |
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sample_input = torch.ones((4, 10, 10, 10)) |
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RandomAffine()(sample_input) |
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def test_crop_attributes(self): |
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cropped = self.sample.crop((1, 1, 1), (5, 5, 5)) |
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self.assertIs(self.sample.t1['pre_affine'], cropped.t1['pre_affine']) |
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fepegar /
torchio
