def test_crop(self):
"""
Tests that the crop augmentation has not changed
"""
img = cv2.imread("test_data/augmented/org.png", 3)
img = aug.crop(img, 1, 0, 0, 0)
load = cv2.imread("test_data/augmented/crop.png", 3)
np.testing.assert_array_equal(img, load)
def test_augmented_not_same_as_original(self):
"""
Tests that the augmented images are not the same as the original
"""
load = cv2.imread("test_data/augmented/org.png", 3)
org = cv2.imread("test_data/augmented/org.png", 3)
#make sure my method of testing is valid
img = org
assert np.ndarray.tolist(img) == np.ndarray.tolist(load)
img = aug.affine_transform(org)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.add_light_and_color_blur(img)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.affine_transform(org)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.brighten_darken(org, 0.6)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.brighten_darken(org, 1.4)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.blur(org)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.sharpen(org)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.rotate(org, -2)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.crop(org, 1, 0, 0, 0)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)
img = aug.mirror(org)
assert np.ndarray.tolist(img) != np.ndarray.tolist(load)