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Cast SlidingPatchWSIDataset mask locations to int #9170

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Cast SlidingPatchWSIDataset mask locations to int #9170

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2 changes: 1 addition & 1 deletion monai/data/wsi_datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -306,7 +306,7 @@ def _evaluate_patch_locations(self, sample):
)
)
# convert locations to mask_location
mask_locations = np.round((patch_locations + patch_size_0 // 2) / float(mask_ratio))
mask_locations = np.round((patch_locations + patch_size_0 // 2) / float(mask_ratio)).astype(int)

# fill out samples with location and metadata
sample[WSIPatchKeys.SIZE.value] = patch_size
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4 changes: 3 additions & 1 deletion tests/data/test_sliding_patch_wsi_dataset.py
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Expand Up @@ -21,7 +21,7 @@
from parameterized import parameterized

from monai.data import SlidingPatchWSIDataset
from monai.utils import WSIPatchKeys, optional_import, set_determinism
from monai.utils import ProbMapKeys, WSIPatchKeys, optional_import, set_determinism
from tests.test_utils import download_url_or_skip_test, testing_data_config

set_determinism(0)
Expand Down Expand Up @@ -250,6 +250,8 @@ def test_read_patches_large(self, input_parameters, expected):
steps = [round(expected[i]["ratio"] * s) for s in expected[i]["patch_size"]]
expected_location = tuple(expected[i]["step_loc"][j] * steps[j] for j in range(len(steps)))
assert_array_equal(sample["image"].meta[WSIPatchKeys.LOCATION], expected_location)
mask_location = np.asarray(sample["image"].meta[ProbMapKeys.LOCATION])
self.assertTrue(np.issubdtype(mask_location.dtype, np.integer))


@skipUnless(has_cucim, "Requires cucim")
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