def test_detection_iou_none(self):
d1 = tf.constant([[1, 1, 1, 3, 3, 1, 1]], dtype=tf.float32)
d2 = tf.constant([1, 3, 3, 5, 5, 1, 1], dtype=tf.float32)
iou = wbf.vectorized_iou(d1, d2)
self.assertAllClose(iou[0][0], 0)
def test_detection_iou_ends(self):
d1 = tf.constant([[1, 1, 1, 3, 2, 1, 1]], dtype=tf.float32)
d2 = tf.constant([1, 2, 1, 4, 2, 1, 1], dtype=tf.float32)
iou = wbf.vectorized_iou(d1, d2)
self.assertAllClose(iou[0][0], 1.0 / 3.0)
def test_detection_iou_vector(self):
vector_to_match = tf.constant(
[
[1, 1, 1, 3, 3, 1, 1],
[1, 2, 2, 4, 4, 1, 1],
[1, 3, 3, 5, 5, 1, 1],
],
dtype=tf.float32,
)
detection = tf.constant([1, 1, 1, 3, 3, 1, 1], dtype=tf.float32)
ious = wbf.vectorized_iou(vector_to_match, detection)
self.assertAllClose(tf.reshape(ious, [3]), [1, 1.0 / 7.0, 0])