modellib.py 文件源码

def f_iou_box_old(top_left_a, bot_right_a, top_left_b, bot_right_b):
  """Computes IoU of boxes.
  Args:
    top_left_a: [B, T, 2] or [B, 2]
    bot_right_a: [B, T, 2] or [B, 2]
    top_left_b: [B, T, 2] or [B, 2]
    bot_right_b: [B, T, 2] or [B, 2]
  Returns:
    iou: [B, T]
  """
  inter_area = f_inter_box(top_left_a, bot_right_a, top_left_b, bot_right_b)
  inter_area = tf.maximum(inter_area, 1e-6)
  ndims = tf.shape(tf.shape(top_left_a))
  # area_a = tf.reduce_prod(bot_right_a - top_left_a, ndims - 1)
  # area_b = tf.reduce_prod(bot_right_b - top_left_b, ndims - 1)
  check_a = tf.reduce_prod(tf.to_float(top_left_a < bot_right_a), ndims - 1)
  area_a = check_a * tf.reduce_prod(bot_right_a - top_left_a, ndims - 1)
  check_b = tf.reduce_prod(tf.to_float(top_left_b < bot_right_b), ndims - 1)
  area_b = check_b * tf.reduce_prod(bot_right_b - top_left_b, ndims - 1)
  union_area = (area_a + area_b - inter_area + 1e-5)
  union_area = tf.maximum(union_area, 1e-5)
  iou = inter_area / union_area
  iou = tf.maximum(iou, 1e-5)
  iou = tf.minimum(iou, 1.0)
  return iou