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@@ 34-51 (lines=18) @@
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| 31 |
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self.sample_subject['label'][DATA] == 1 |
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) |
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| 34 |
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def test_deterministic_simulation_with_discretized_label_map(self): |
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"""The transform creates an image where values are equal to given mean |
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if standard deviation is zero. |
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Using a discretized label map.""" |
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transform = RandomLabelsToImage( |
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label_key='label', |
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mean=[0.5, 2], |
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std=[0, 0], |
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discretize=True |
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) |
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transformed = transform(self.sample_subject) |
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self.assertTensorEqual( |
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transformed['image_from_labels'][DATA] == 0.5, |
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self.sample_subject['label'][DATA] == 0 |
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) |
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self.assertTensorEqual( |
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transformed['image_from_labels'][DATA] == 2, |
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self.sample_subject['label'][DATA] == 1 |
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) |
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def test_deterministic_simulation_with_pv_map(self): |
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@@ 15-31 (lines=17) @@
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transformed = transform(self.sample_subject) |
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self.assertIn('image_from_labels', transformed) |
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def test_deterministic_simulation(self): |
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"""The transform creates an image where values are equal to given |
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mean if standard deviation is zero. |
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Using a label map.""" |
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transform = RandomLabelsToImage( |
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label_key='label', |
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mean=[0.5, 2], |
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std=[0, 0] |
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) |
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transformed = transform(self.sample_subject) |
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self.assertTensorEqual( |
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transformed['image_from_labels'][DATA] == 0.5, |
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self.sample_subject['label'][DATA] == 0 |
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) |
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self.assertTensorEqual( |
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transformed['image_from_labels'][DATA] == 2, |
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self.sample_subject['label'][DATA] == 1 |
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) |
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| 34 |
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def test_deterministic_simulation_with_discretized_label_map(self): |
fepegar /
torchio
