def matched_iou(boxlist1, boxlist2, scope=None):
"""Compute intersection-over-union between corresponding boxes in boxlists.
Args:
boxlist1: BoxList holding N boxes
boxlist2: BoxList holding N boxes
scope: name scope.
Returns:
a tensor with shape [N] representing pairwise iou scores.
"""
with tf.name_scope(scope, 'MatchedIOU'):
intersections = matched_intersection(boxlist1, boxlist2)
areas1 = area(boxlist1)
areas2 = area(boxlist2)
unions = areas1 + areas2 - intersections
return tf.where(tf.equal(intersections, 0.0),
tf.zeros_like(intersections),
tf.truediv(intersections, unions))
def ioa(boxlist1, boxlist2, scope=None):
"""Computes pairwise intersection-over-area between box collections.
intersection-over-area (IOA) between two boxes box1 and box2 is defined as
their intersection area over box2's area. Note that ioa is not symmetric,
that is, ioa(box1, box2) != ioa(box2, box1).
Args:
boxlist1: BoxList holding N boxes
boxlist2: BoxList holding M boxes
scope: name scope.
Returns:
a tensor with shape [N, M] representing pairwise ioa scores.
"""
with tf.name_scope(scope, 'IOA'):
intersections = intersection(boxlist1, boxlist2)
areas = tf.expand_dims(area(boxlist2), 0)
return tf.truediv(intersections, areas)
def iou(boxlist1, boxlist2, scope=None):
"""Computes pairwise intersection-over-union between box collections.
Args:
boxlist1: BoxList holding N boxes
boxlist2: BoxList holding M boxes
scope: name scope.
Returns:
a tensor with shape [N, M] representing pairwise iou scores.
"""
with tf.name_scope(scope, 'IOU'):
intersections = intersection(boxlist1, boxlist2)
areas1 = area(boxlist1)
areas2 = area(boxlist2)
unions = (tf.expand_dims(areas1, 1) + tf.expand_dims(areas2, 0) -
intersections)
return tf.where(tf.equal(intersections, 0.0),
tf.zeros_like(intersections),
tf.truediv(intersections, unions))