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#!/usr/bin/env python |
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from copy import copy |
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import torchio as tio |
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from ...utils import TorchioTestCase |
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7
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8
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class TestGridSampler(TorchioTestCase): |
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"""Tests for `GridSampler`.""" |
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11
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def test_locations(self): |
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patch_size = 5, 20, 20 |
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patch_overlap = 2, 4, 6 |
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sampler = tio.GridSampler( |
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subject=self.sample_subject, |
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patch_size=patch_size, |
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patch_overlap=patch_overlap, |
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) |
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fixture = [ |
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[0, 0, 0, 5, 20, 20], |
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[0, 0, 10, 5, 20, 30], |
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[3, 0, 0, 8, 20, 20], |
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[3, 0, 10, 8, 20, 30], |
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[5, 0, 0, 10, 20, 20], |
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[5, 0, 10, 10, 20, 30], |
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] |
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locations = sampler.locations.tolist() |
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self.assertEqual(locations, fixture) |
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def test_large_patch(self): |
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with self.assertRaises(ValueError): |
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tio.GridSampler(self.sample_subject, (5, 21, 5), (0, 2, 0)) |
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def test_large_overlap(self): |
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with self.assertRaises(ValueError): |
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tio.GridSampler(self.sample_subject, (5, 20, 5), (2, 4, 6)) |
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def test_odd_overlap(self): |
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with self.assertRaises(ValueError): |
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tio.GridSampler(self.sample_subject, (5, 20, 5), (2, 4, 3)) |
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def test_single_location(self): |
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sampler = tio.GridSampler(self.sample_subject, (10, 20, 30), 0) |
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fixture = [[0, 0, 0, 10, 20, 30]] |
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self.assertEqual(sampler.locations.tolist(), fixture) |
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def test_subject_shape(self): |
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patch_size = 5, 20, 20 |
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patch_overlap = 2, 4, 6 |
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initial_shape = copy(self.sample_subject.shape) |
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tio.GridSampler( |
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self.sample_subject, |
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patch_size, |
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patch_overlap, |
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padding_mode='reflect', |
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) |
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final_shape = self.sample_subject.shape |
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self.assertEqual(initial_shape, final_shape) |
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def test_bad_subject(self): |
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with self.assertRaises(ValueError): |
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patch_size = 88 |
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tio.GridSampler(patch_size) |
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fepegar /
torchio
