def test_anti_instagram_correctness(self):
logger.info('This is going to test that algorithm 1 and 2 give same results')
id_scale, id_shift = [1.0, 1.0, 1.0], [0.0, 0.0, 0.0]
img = random_image(480, 640)
logger.info('algo 1 respects the identity')
a = scaleandshift1(img, id_scale, id_shift)
self.assert_L1_small(img, a)
logger.info('algo 2 respects the identity')
b = scaleandshift2(img, id_scale, id_shift)
self.assert_L1_small(img, b)
logger.info('algo 1 and 2 give the same output with random shift')
scale = id_scale
shift = np.random.rand(3)
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
logger.info('algo 1 and 2 give the same output with random scale')
scale = np.random.rand(3)
shift = id_shift # 0 shift
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
logger.info('algo 1 and 2 give the same output with random inputs')
scale = np.random.rand(3)
shift = np.random.rand(3)
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
def test_anti_instagram_correctness(self):
logger.info(
'This is going to test that algorithm 1 and 2 give same results')
id_scale, id_shift = [1.0, 1.0, 1.0], [0.0, 0.0, 0.0]
img = random_image(480, 640)
logger.info('algo 1 respects the identity')
a = scaleandshift1(img, id_scale, id_shift)
self.assert_L1_small(img, a)
logger.info('algo 2 respects the identity')
b = scaleandshift2(img, id_scale, id_shift)
self.assert_L1_small(img, b)
logger.info('algo 1 and 2 give the same output with random shift')
scale = id_scale
shift = np.random.rand(3)
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
logger.info('algo 1 and 2 give the same output with random scale')
scale = np.random.rand(3)
shift = id_shift # 0 shift
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
logger.info('algo 1 and 2 give the same output with random inputs')
scale = np.random.rand(3)
shift = np.random.rand(3)
img1 = scaleandshift1(img, scale, shift)
img2 = scaleandshift2(img, scale, shift)
self.assert_L1_small(img1, img2)
def setup():
img = random_image(Params.shape[0], Params.shape[1])
ai = AntiInstagram()
return ai, img
def setup():
img = random_image(Params.shape[0], Params.shape[1])
ai = AntiInstagram()
return ai, img
