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2695 Fix Resize shape issue #2696

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Merged
merged 5 commits into from
Aug 5, 2021
Merged

2695 Fix Resize shape issue #2696

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42a45e0
Merge pull request #19 from Project-MONAI/master
Nic-Ma Feb 1, 2021
cd16a13
Merge pull request #32 from Project-MONAI/master
Nic-Ma Feb 24, 2021
6f87afd
Merge pull request #180 from Project-MONAI/dev
Nic-Ma Jul 22, 2021
d26b0aa
Merge pull request #190 from Project-MONAI/dev
Nic-Ma Aug 5, 2021
f0d4175
[DLMED] update int method
Nic-Ma Aug 5, 2021
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3 changes: 1 addition & 2 deletions monai/transforms/spatial/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,6 @@
"""

import warnings
from math import ceil
from typing import Any, List, Optional, Sequence, Tuple, Union

import numpy as np
Expand Down Expand Up @@ -403,7 +402,7 @@ def __call__(
if not isinstance(self.spatial_size, int):
raise ValueError("spatial_size must be an int number if size_mode is 'longest'.")
scale = self.spatial_size / max(img_size)
spatial_size_ = tuple(ceil(s * scale) for s in img_size)
spatial_size_ = tuple(int(round(s * scale)) for s in img_size)
resized = torch.nn.functional.interpolate( # type: ignore
input=torch.as_tensor(np.ascontiguousarray(img), dtype=torch.float).unsqueeze(0),
size=spatial_size_,
Expand Down
11 changes: 8 additions & 3 deletions tests/test_resize.py
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Expand Up @@ -18,11 +18,11 @@
from monai.transforms import Resize
from tests.utils import NumpyImageTestCase2D

TEST_CASE_0 = [{"spatial_size": 15}, (6, 11, 15)]
TEST_CASE_0 = [{"spatial_size": 15}, (6, 10, 15)]

TEST_CASE_1 = [{"spatial_size": 15, "mode": "area"}, (6, 11, 15)]
TEST_CASE_1 = [{"spatial_size": 15, "mode": "area"}, (6, 10, 15)]

TEST_CASE_2 = [{"spatial_size": 6, "mode": "trilinear", "align_corners": True}, (3, 5, 6)]
TEST_CASE_2 = [{"spatial_size": 6, "mode": "trilinear", "align_corners": True}, (2, 4, 6)]


class TestResize(NumpyImageTestCase2D):
Expand Down Expand Up @@ -63,6 +63,11 @@ def test_longest_shape(self, input_param, expected_shape):
result = Resize(**input_param)(input_data)
np.testing.assert_allclose(result.shape[1:], expected_shape)

def test_longest_infinite_decimals(self):
resize = Resize(spatial_size=1008, size_mode="longest", mode="bilinear", align_corners=False)
ret = resize(np.random.randint(0, 2, size=[1, 2544, 3032]))
self.assertTupleEqual(ret.shape, (1, 846, 1008))


if __name__ == "__main__":
unittest.main()
8 changes: 4 additions & 4 deletions tests/test_resized.py
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Expand Up @@ -18,15 +18,15 @@
from monai.transforms import Resized
from tests.utils import NumpyImageTestCase2D

TEST_CASE_0 = [{"keys": "img", "spatial_size": 15}, (6, 11, 15)]
TEST_CASE_0 = [{"keys": "img", "spatial_size": 15}, (6, 10, 15)]

TEST_CASE_1 = [{"keys": "img", "spatial_size": 15, "mode": "area"}, (6, 11, 15)]
TEST_CASE_1 = [{"keys": "img", "spatial_size": 15, "mode": "area"}, (6, 10, 15)]

TEST_CASE_2 = [{"keys": "img", "spatial_size": 6, "mode": "trilinear", "align_corners": True}, (3, 5, 6)]
TEST_CASE_2 = [{"keys": "img", "spatial_size": 6, "mode": "trilinear", "align_corners": True}, (2, 4, 6)]

TEST_CASE_3 = [
{"keys": ["img", "label"], "spatial_size": 6, "mode": ["trilinear", "nearest"], "align_corners": [True, None]},
(3, 5, 6),
(2, 4, 6),
]


Expand Down