def test_normalize_points(self):
# Shape = [2, 1, 3, 2].
points = [[[[0.0, 1.0], [2.0, 3.0], [4.0, 5.0]]],
[[[10.0, 11.0], [12.0, 13.0], [14.0, 15.0]]]]
offset_point_indices = [0, 1]
scale_distance_point_index_pairs = [([0, 1], [1]), ([0], [1, 2])]
normalized_points, offset_points, scale_distances = (
keypoint_utils.normalize_points(
points,
offset_point_indices=offset_point_indices,
scale_distance_point_index_pairs=
scale_distance_point_index_pairs,
scale_distance_reduction_fn=tf.math.reduce_sum,
scale_unit=1.0))
sqrt_2 = 1.414213562
self.assertAllClose(normalized_points, [
[[
[-0.25 / sqrt_2, -0.25 / sqrt_2],
[0.25 / sqrt_2, 0.25 / sqrt_2],
[0.75 / sqrt_2, 0.75 / sqrt_2],
]],
[[
[-0.25 / sqrt_2, -0.25 / sqrt_2],
[0.25 / sqrt_2, 0.25 / sqrt_2],
[0.75 / sqrt_2, 0.75 / sqrt_2],
]],
])
self.assertAllClose(offset_points, [[[[1.0, 2.0]]], [[[11.0, 12.0]]]])
self.assertAllClose(scale_distances,
[[[[4.0 * sqrt_2]]], [[[4.0 * sqrt_2]]]])
def normalize(self, keypoints, keypoint_masks=None):
"""Normalizes keypoints."""
del keypoint_masks
return keypoint_utils.normalize_points(
keypoints,
offset_point_indices=self._offset_keypoint_index,
scale_distance_point_index_pairs=self._scale_keypoint_index_pairs,
scale_distance_reduction_fn=self._scale_distance_reduction_fn,
scale_unit=self._scale_unit)