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| | import unittest |
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| | from monai.data import CacheDataset, DataLoader |
| | from monai.transforms import Compose, DataStatsd, SimulateDelayd |
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|
| | class TestDataLoader(unittest.TestCase): |
| | def test_values(self): |
| | datalist = [ |
| | {"image": "spleen_19.nii.gz", "label": "spleen_label_19.nii.gz"}, |
| | {"image": "spleen_31.nii.gz", "label": "spleen_label_31.nii.gz"}, |
| | ] |
| | transform = Compose( |
| | [ |
| | DataStatsd(keys=["image", "label"], data_shape=False, value_range=False, data_value=True), |
| | SimulateDelayd(keys=["image", "label"], delay_time=0.1), |
| | ] |
| | ) |
| | dataset = CacheDataset(data=datalist, transform=transform, cache_rate=0.5, cache_num=1) |
| | dataloader = DataLoader(dataset=dataset, batch_size=2, num_workers=2) |
| | for d in dataloader: |
| | self.assertEqual(d["image"][0], "spleen_19.nii.gz") |
| | self.assertEqual(d["image"][1], "spleen_31.nii.gz") |
| | self.assertEqual(d["label"][0], "spleen_label_19.nii.gz") |
| | self.assertEqual(d["label"][1], "spleen_label_31.nii.gz") |
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|
| | if __name__ == "__main__": |
| | unittest.main() |
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