def testMultipleImages(self):
images = [[[1, 1, 1, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 1, 1, 1]],
[[1, 0, 0, 1],
[0, 0, 0, 0],
[0, 0, 0, 0],
[1, 0, 0, 1]],
[[1, 1, 0, 1],
[0, 1, 1, 0],
[1, 0, 1, 0],
[0, 0, 1, 1]]] # pyformat: disable
expected = [[[1, 1, 1, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 1, 1, 1]],
[[2, 0, 0, 3],
[0, 0, 0, 0],
[0, 0, 0, 0],
[4, 0, 0, 5]],
[[6, 6, 0, 7],
[0, 6, 6, 0],
[8, 0, 6, 0],
[0, 0, 6, 6]]] # pyformat: disable
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
images, dtypes.bool)).eval(), expected)
def testMultipleImages(self):
images = [[[1, 1, 1, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 1, 1, 1]],
[[1, 0, 0, 1],
[0, 0, 0, 0],
[0, 0, 0, 0],
[1, 0, 0, 1]],
[[1, 1, 0, 1],
[0, 1, 1, 0],
[1, 0, 1, 0],
[0, 0, 1, 1]]] # pyformat: disable
expected = [[[1, 1, 1, 1],
[1, 0, 0, 1],
[1, 0, 0, 1],
[1, 1, 1, 1]],
[[2, 0, 0, 3],
[0, 0, 0, 0],
[0, 0, 0, 0],
[4, 0, 0, 5]],
[[6, 6, 0, 7],
[0, 6, 6, 0],
[8, 0, 6, 0],
[0, 0, 6, 6]]] # pyformat: disable
with self.cached_session():
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
images, dtypes.bool)).eval(), expected)
def testSimple(self):
arr = [[0, 1, 0], [1, 1, 1], [0, 1, 0]]
with self.test_session():
# Single component with id 1.
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
arr, dtypes.bool)).eval(), arr)
def testSimple(self):
arr = [[0, 1, 0], [1, 1, 1], [0, 1, 0]]
with self.cached_session():
# Single component with id 1.
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
arr, dtypes.bool)).eval(), arr)
def testRandom_scipy(self):
np.random.seed(42)
images = np.random.randint(0, 2, size=(10, 100, 200)).astype(np.bool)
expected = connected_components_reference_implementation(images)
if expected is None:
return
with self.cached_session():
self.assertAllEqual(
image_ops.connected_components(images).eval(), expected)
def testRandom_scipy(self):
np.random.seed(42)
images = np.random.randint(0, 2, size=(10, 100, 200)).astype(np.bool)
expected = connected_components_reference_implementation(images)
if expected is None:
return
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(images).eval(), expected)
def testDisconnected(self):
arr = math_ops.cast(
[[1, 0, 0, 1, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 1, 0, 1, 0],
[1, 0, 1, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0]], dtypes.bool) # pyformat: disable
expected = ([[1, 0, 0, 2, 0, 0, 0, 0, 3], [0, 4, 0, 0, 0, 5, 0, 6, 0],
[7, 0, 8, 0, 0, 0, 9, 0, 0], [0, 0, 0, 0, 10, 0, 0, 0, 0],
[0, 0, 11, 0, 0, 0, 0, 0, 0]]) # pyformat: disable
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(arr).eval(), expected)
def testDisconnected(self):
arr = math_ops.cast(
[[1, 0, 0, 1, 0, 0, 0, 0, 1],
[0, 1, 0, 0, 0, 1, 0, 1, 0],
[1, 0, 1, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0]],
dtypes.bool) # pyformat: disable
expected = (
[[1, 0, 0, 2, 0, 0, 0, 0, 3],
[0, 4, 0, 0, 0, 5, 0, 6, 0],
[7, 0, 8, 0, 0, 0, 9, 0, 0],
[0, 0, 0, 0, 10, 0, 0, 0, 0],
[0, 0, 11, 0, 0, 0, 0, 0, 0]]) # pyformat: disable
with self.test_session():
self.assertAllEqual(image_ops.connected_components(arr).eval(), expected)
def testSnake_disconnected(self):
for i in range(SNAKE.shape[0]):
for j in range(SNAKE.shape[1]):
with self.cached_session():
# If we disconnect any part of the snake except for the endpoints,
# there will be 2 components.
if SNAKE[i, j] and (i, j) not in [(1, 1), (6, 3)]:
disconnected_snake = SNAKE.copy()
disconnected_snake[i, j] = 0
components = image_ops.connected_components(
math_ops.cast(disconnected_snake, dtypes.bool)).eval()
self.assertEqual(components.max(), 2, 'disconnect (%d, %d)' % (i,
j))
bins = np.bincount(components.ravel())
# Nonzero number of pixels labeled 0, 1, or 2.
self.assertGreater(bins[0], 0)
self.assertGreater(bins[1], 0)
self.assertGreater(bins[2], 0)
def testSnake_disconnected(self):
for i in range(SNAKE.shape[0]):
for j in range(SNAKE.shape[1]):
with self.test_session():
# If we disconnect any part of the snake except for the endpoints,
# there will be 2 components.
if SNAKE[i, j] and (i, j) not in [(1, 1), (6, 3)]:
disconnected_snake = SNAKE.copy()
disconnected_snake[i, j] = 0
components = image_ops.connected_components(
math_ops.cast(disconnected_snake, dtypes.bool)).eval()
self.assertEqual(components.max(), 2, 'disconnect (%d, %d)' % (i,
j))
bins = np.bincount(components.ravel())
# Nonzero number of pixels labeled 0, 1, or 2.
self.assertGreater(bins[0], 0)
self.assertGreater(bins[1], 0)
self.assertGreater(bins[2], 0)
def testSnake(self):
with self.cached_session():
# Single component with id 1.
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
SNAKE, dtypes.bool)).eval(), SNAKE)
def testOnes_small(self):
with self.cached_session():
self.assertAllEqual(
image_ops.connected_components(array_ops.ones((3, 5),
dtypes.bool)).eval(),
np.ones((3, 5)))
def testOnes(self):
with self.cached_session():
self.assertAllEqual(
image_ops.connected_components(
array_ops.ones((100, 20, 50), dtypes.bool)).eval(),
np.tile(np.arange(100)[:, None, None] + 1, [1, 20, 50]))
def testZeros(self):
with self.cached_session():
self.assertAllEqual(
image_ops.connected_components(
array_ops.zeros((100, 20, 50), dtypes.bool)).eval(),
np.zeros((100, 20, 50)))
def testZeros(self):
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(
array_ops.zeros((100, 20, 50), dtypes.bool)).eval(),
np.zeros((100, 20, 50)))
def testSnake(self):
with self.test_session():
# Single component with id 1.
self.assertAllEqual(
image_ops.connected_components(math_ops.cast(
SNAKE, dtypes.bool)).eval(), SNAKE)
def testOnes_small(self):
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(array_ops.ones((3, 5),
dtypes.bool)).eval(),
np.ones((3, 5)))
def testOnes(self):
with self.test_session():
self.assertAllEqual(
image_ops.connected_components(
array_ops.ones((100, 20, 50), dtypes.bool)).eval(),
np.tile(np.arange(100)[:, None, None] + 1, [1, 20, 50]))
