def test_batch_iou_with_negative_data(self):
boxes = tf.constant([[[0, -0.01, 0.1, 1.1], [0, 0.2, 0.2, 5.0],
[0, -0.01, 0.1, 1.], [-1, -1, -1, -1]]],
tf.float32)
iou = post_processing.batch_iou(boxes, boxes)
expected_iou = [[[0.99999994, 0.0917431, 0.9099099, -1.],
[0.0917431, 1., 0.08154944, -1.],
[0.9099099, 0.08154944, 1., -1.],
[-1., -1., -1., -1.]]]
with self.test_session() as sess:
iou = sess.run(iou)
self.assertAllClose(iou, expected_iou)
def graph_fn():
boxes = tf.constant([[[0, -0.01, 0.1, 1.1], [0, 0.2, 0.2, 5.0],
[0, -0.01, 0.1, 1.], [-1, -1, -1, -1]]], tf.float32)
iou = post_processing.batch_iou(boxes, boxes)
return iou