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Fix dtype bug in ScaleIntensityRangePercentile #8109

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merged 2 commits into from
Sep 26, 2024
Merged

Fix dtype bug in ScaleIntensityRangePercentile #8109

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d5974b2
fix #8108
KumoLiu Sep 25, 2024
761e99d
fix flake8
KumoLiu Sep 25, 2024
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2 changes: 1 addition & 1 deletion monai/transforms/intensity/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1411,7 +1411,7 @@ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:
else:
img_t = self._normalize(img=img_t)

return convert_to_dst_type(img_t, dst=img)[0]
return convert_to_dst_type(img_t, dst=img, dtype=self.dtype)[0]


class MaskIntensity(Transform):
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2 changes: 2 additions & 0 deletions tests/test_scale_intensity_range_percentiles.py
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Expand Up @@ -14,6 +14,7 @@
import unittest

import numpy as np
import torch

from monai.transforms.intensity.array import ScaleIntensityRangePercentiles
from tests.utils import TEST_NDARRAYS, NumpyImageTestCase2D, assert_allclose
Expand All @@ -34,6 +35,7 @@ def test_scaling(self):
scaler = ScaleIntensityRangePercentiles(lower=lower, upper=upper, b_min=b_min, b_max=b_max, dtype=np.uint8)
for p in TEST_NDARRAYS:
result = scaler(p(img))
self.assertEqual(result.dtype, torch.uint8)
assert_allclose(result, p(expected), type_test="tensor", rtol=1e-4)

def test_relative_scaling(self):
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