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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 AdjustContrast
from tests.utils import NumpyImageTestCase2D
TEST_CASE_1 = [1.0]
TEST_CASE_2 = [0.5]
TEST_CASE_3 = [4.5]
class TestAdjustContrast(NumpyImageTestCase2D):
@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3])
def test_correct_results(self, gamma):
adjuster = AdjustContrast(gamma=gamma)
result = adjuster(self.imt)
if gamma == 1.0:
expected = self.imt
else:
epsilon = 1e-7
img_min = self.imt.min()
img_range = self.imt.max() - img_min
expected = np.power(((self.imt - img_min) / float(img_range + epsilon)), gamma) * img_range + img_min
np.testing.assert_allclose(expected, result, rtol=1e-05)
if __name__ == "__main__":
unittest.main()
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