def testBasicUsage(self):
with self.session():
image = np.array([[[5], [2], [4], [0], [3]]]).astype(np.float32)
tabulated_functions = np.array([[10, 11, 12, 13, 14, 15, 16,
17]]).astype(np.float32)
out_image = augmentation_ops.apply_tabulated_functions(
image, tabulated_functions)
self.assertAllEqual(np.array([[[15], [12], [14], [10], [13]]]),
out_image.eval())
def testInterpolationExtrapolation(self):
with self.session():
image = np.array([[[-1], [2.7], [4.2], [0.3], [8.5]]]).astype(np.float32)
tabulated_functions = np.array([[10, 11, 12, 13, 14, 15, 16,
17]]).astype(np.float32)
out_image = augmentation_ops.apply_tabulated_functions(
image, tabulated_functions)
self.assertAllClose(
np.array([[[9], [12.7], [14.2], [10.3], [18.5]]]), out_image.eval())
def testMult(self):
with self.session():
image = np.array([[[5, 2], [2, 4], [4, 1], [0, 1],
[3, 0]]]).astype(np.float32)
tabulated_functions = np.array([[10, 11, 12, 13, 14, 15, 16, 17],
[0, 10, 20, 30, 40, 50, 60,
70]]).astype(np.float32)
out_image = augmentation_ops.apply_tabulated_functions(
image, tabulated_functions)
self.assertAllEqual(
np.array([[[15, 20], [12, 40], [14, 10], [10, 10], [13, 0]]]),
out_image.eval())
def testShape(self):
image = np.random.random([10, 7, 3]).astype(np.float32)
tabulated_functions = np.random.random([3, 256]).astype(np.float32)
out_image = augmentation_ops.apply_tabulated_functions(
image, tabulated_functions)
self.assertAllEqual(out_image.get_shape(), image.shape)
