class_docstr: ProbIoU Loss, refer to https://arxiv.org/abs/2106.06072 for details 
class_docstr_tok: ["ProbIoU","Loss",",","refer","to","https",":","\/\/arxiv.org\/abs\/2106.06072","for","details"]
code: def __init__(self, mode="l1", eps=1e-3):
      super(ProbIoULoss, self).__init__()
      self.mode = mode
      self.eps = eps
  
file_path: PaddleDetection/ppdet/modeling/losses/probiou_loss.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import paddle
  import paddle.nn.functional
  from ppdet.core.workspace import register, serializable
label_desc: Use image node_id 1 to create a new ProbIoULoss object from inherited base classes: object with example: obj = ProbIoULoss(mode, eps)