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e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # Copyright 2020 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
from parameterized import parameterized
from monai.transforms import CenterSpatialCrop
TEST_CASE_0 = [{"roi_size": [2, 2, -1]}, np.random.randint(0, 2, size=[3, 3, 3, 3]), (3, 2, 2, 3)]
TEST_CASE_1 = [{"roi_size": [2, 2, 2]}, np.random.randint(0, 2, size=[3, 3, 3, 3]), (3, 2, 2, 2)]
TEST_CASE_2 = [
{"roi_size": [2, 2]},
np.array([[[0, 0, 0, 0, 0], [0, 1, 2, 1, 0], [0, 2, 3, 2, 0], [0, 1, 2, 1, 0], [0, 0, 0, 0, 0]]]),
np.array([[[1, 2], [2, 3]]]),
]
class TestCenterSpatialCrop(unittest.TestCase):
@parameterized.expand([TEST_CASE_0, TEST_CASE_1])
def test_shape(self, input_param, input_data, expected_shape):
result = CenterSpatialCrop(**input_param)(input_data)
np.testing.assert_allclose(result.shape, expected_shape)
@parameterized.expand([TEST_CASE_2])
def test_value(self, input_param, input_data, expected_value):
result = CenterSpatialCrop(**input_param)(input_data)
np.testing.assert_allclose(result, expected_value)
if __name__ == "__main__":
unittest.main()
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