def testPadding(self):
x_shape = [3, 4, 1]
x_np = np.ones(x_shape, dtype=np.float32)
offset_height = 2
after_height = 3
offset_width = 1
after_width = 4
target_height = x_shape[0] + offset_height + after_height
target_width = x_shape[1] + offset_width + after_width
# Note the padding are along batch, height, width and depth.
paddings = ((offset_height, after_height), (offset_width, after_width),
(0, 0))
y_np = np.pad(x_np, paddings, 'constant')
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.pad_to_bounding_box(x, offset_height, offset_width,
target_height, target_width)
y_tf = y.eval()
self.assertAllEqual(y_tf, y_np)
def testPadding(self):
x_shape = [3, 4, 1]
x_np = np.ones(x_shape, dtype=np.float32)
offset_height = 2
after_height = 3
offset_width = 1
after_width = 4
target_height = x_shape[0] + offset_height + after_height
target_width = x_shape[1] + offset_width + after_width
# Note the padding are along batch, height, width and depth.
paddings = ((offset_height, after_height),
(offset_width, after_width),
(0, 0))
y_np = np.pad(x_np, paddings, 'constant')
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.pad_to_bounding_box(x, offset_height, offset_width,
target_height, target_width)
y_tf = y.eval()
self.assertAllEqual(y_tf, y_np)
def testNoOp(self):
x_shape = [13, 9, 3]
x_np = np.ones(x_shape, dtype=np.float32)
target_height = x_shape[0]
target_width = x_shape[1]
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.pad_to_bounding_box(x, 0, 0, target_height, target_width)
y_tf = y.eval()
self.assertAllEqual(y_tf, x_np)
def testNoOp(self):
x_shape = [13, 9, 3]
x_np = np.ones(x_shape, dtype=np.float32)
target_height = x_shape[0]
target_width = x_shape[1]
with self.test_session():
x = constant_op.constant(x_np, shape=x_shape)
y = image_ops.pad_to_bounding_box(x, 0, 0, target_height, target_width)
y_tf = y.eval()
self.assertAllEqual(y_tf, x_np)