wehub-resource-sync
98 lines
3.1 KiB
Python
98 lines
3.1 KiB
Python
from __future__ import print_function, division, absolute_import
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import sys
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# unittest only added in 3.4 self.subTest()
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if sys.version_info[0] < 3 or sys.version_info[1] < 4:
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import unittest2 as unittest
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else:
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import unittest
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# unittest.mock is not available in 2.7 (though unittest2 might contain it?)
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try:
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import unittest.mock as mock
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except ImportError:
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import mock
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import numpy as np
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from imgaug import augmenters as iaa
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from imgaug.testutils import reseed, runtest_pickleable_uint8_img
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class TestRandAugment(unittest.TestCase):
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def setUp(self):
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reseed()
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# for some reason these mocks don't work with
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# imgaug.augmenters.collections.(...)
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@mock.patch("imgaug.augmenters.RandAugment._create_initial_augmenters_list")
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@mock.patch("imgaug.augmenters.RandAugment._create_main_augmenters_list")
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def test_n(self, mock_main, mock_initial):
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mock_main.return_value = [iaa.Add(1), iaa.Add(2), iaa.Add(4)]
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mock_initial.return_value = []
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img = np.zeros((1, 1, 3), dtype=np.uint8)
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expected = {
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0: [0],
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1: [1, 2, 4],
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2: [1+1, 1+2, 1+4, 2+2, 2+4, 4+4]
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}
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for n in [0, 1, 2]:
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with self.subTest(n=n):
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aug = iaa.RandAugment(n=n)
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img_aug = aug(image=img)
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assert img_aug[0, 0, 0] in expected[n]
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# for some reason these mocks don't work with
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# imgaug.augmenters.collections.(...)
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@mock.patch("imgaug.augmenters.RandAugment._create_initial_augmenters_list")
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@mock.patch("imgaug.augmenters.RandAugment._create_main_augmenters_list")
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def test_m(self, mock_main, mock_initial):
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def _create_main_list(m, _cval):
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return [iaa.Add(m)]
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mock_main.side_effect = _create_main_list
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mock_initial.return_value = []
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img = np.zeros((1, 1, 3), dtype=np.uint8)
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for m in [0, 1, 2]:
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with self.subTest(m=m):
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aug = iaa.RandAugment(m=m)
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img_aug = aug(image=img)
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assert img_aug[0, 0, 0] == m
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def test_cval(self):
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cval = 200
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aug = iaa.RandAugment(n=1, m=30, cval=cval)
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img = np.zeros((20, 20, 3), dtype=np.uint8)
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x_cval = False
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y_cval = False
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# lots of iterations here, because only in some iterations an affine
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# translation is actually applied
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for _ in np.arange(500):
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img_aug = aug(image=img)
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x_cval = x_cval or np.all(img_aug[:, :1] == cval)
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x_cval = x_cval or np.all(img_aug[:, -1:] == cval)
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y_cval = y_cval or np.all(img_aug[:1, :] == cval)
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y_cval = y_cval or np.all(img_aug[-1:, :] == cval)
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if np.all([x_cval, y_cval]):
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break
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assert np.all([x_cval, y_cval])
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def test_get_parameters(self):
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aug = iaa.RandAugment(n=1, m=30, cval=100)
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params = aug.get_parameters()
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assert params[0] is aug[1].n
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assert params[1] is aug._m
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assert params[2] is aug._cval
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def test_pickleable(self):
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aug = iaa.RandAugment(m=(0, 10), n=(1, 2))
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runtest_pickleable_uint8_img(aug, iterations=50)
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