File size: 2,084 Bytes
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 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | # 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 BorderPadd
from monai.utils import NumpyPadMode
TEST_CASE_1 = [
{"keys": ["img", "seg"], "spatial_border": 2, "mode": ["constant", "edge"]},
{"img": np.zeros((3, 8, 8, 4)), "seg": np.zeros((3, 8, 8, 4))},
np.zeros((3, 12, 12, 8)),
]
TEST_CASE_2 = [
{"keys": "img", "spatial_border": [1, 2, 3], "mode": "constant"},
{"img": np.zeros((3, 8, 8, 4))},
np.zeros((3, 10, 12, 10)),
]
TEST_CASE_3 = [
{"keys": "img", "spatial_border": [1, 2, 3, 4, 5, 6], "mode": "constant"},
{"img": np.zeros((3, 8, 8, 4))},
np.zeros((3, 11, 15, 15)),
]
TEST_CASE_4 = [
{"keys": ["img", "seg"], "spatial_border": 2, "mode": ["constant", NumpyPadMode.EDGE]},
{"img": np.zeros((3, 8, 8, 4)), "seg": np.zeros((3, 8, 8, 4))},
np.zeros((3, 12, 12, 8)),
]
TEST_CASE_5 = [
{"keys": ["img", "seg"], "spatial_border": 2, "mode": [NumpyPadMode.CONSTANT, NumpyPadMode.EDGE]},
{"img": np.zeros((3, 8, 8, 4)), "seg": np.zeros((3, 8, 8, 4))},
np.zeros((3, 12, 12, 8)),
]
class TestBorderPadd(unittest.TestCase):
@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_5])
def test_pad_shape(self, input_param, input_data, expected_val):
padder = BorderPadd(**input_param)
result = padder(input_data)
self.assertAlmostEqual(result["img"].shape, expected_val.shape)
if __name__ == "__main__":
unittest.main()
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