def graph_fn():
keypoints = tf.constant([[[10., 30.], [30., 45.]],
[[20., 0.], [40., 60.]]])
output = keypoint_ops.to_normalized_coordinates(keypoints, 40, 60)
expected_keypoints = tf.constant([[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]])
return output, expected_keypoints
def test_to_normalized_coordinates_already_normalized(self):
keypoints = tf.constant([[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]])
output = keypoint_ops.to_normalized_coordinates(keypoints, 40, 60)
with self.test_session() as sess:
with self.assertRaisesOpError('assertion failed'):
sess.run(output)
def test_to_normalized_coordinates(self):
keypoints = tf.constant([[[10., 30.], [30., 45.]],
[[20., 0.], [40., 60.]]])
output = keypoint_ops.to_normalized_coordinates(keypoints, 40, 60)
expected_keypoints = tf.constant([[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]])
with self.test_session() as sess:
output_, expected_keypoints_ = sess.run(
[output, expected_keypoints])
self.assertAllClose(output_, expected_keypoints_)
def test_to_normalized_coordinates_already_normalized(self):
keypoints = tf.constant([
[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]
])
output = keypoint_ops.to_normalized_coordinates(
keypoints, 40, 60)
with self.test_session() as sess:
with self.assertRaisesOpError('assertion failed'):
sess.run(output)
def test_to_normalized_coordinates(self):
keypoints = tf.constant([
[[10., 30.], [30., 45.]],
[[20., 0.], [40., 60.]]
])
output = keypoint_ops.to_normalized_coordinates(
keypoints, 40, 60)
expected_keypoints = tf.constant([
[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]
])
with self.test_session() as sess:
output_, expected_keypoints_ = sess.run([output, expected_keypoints])
self.assertAllClose(output_, expected_keypoints_)
def graph_fn():
keypoints = tf.constant([[[0.25, 0.5], [0.75, 0.75]],
[[0.5, 0.0], [1.0, 1.0]]])
output = keypoint_ops.to_normalized_coordinates(keypoints, 40, 60)
return output
