code: def __init__(self, threshold: float) -> None:
      super().__init__(
          threshold, threshold, allow_low_quality_matches=False
      )
  
imports: import math
  from collections import OrderedDict
  from typing import Dict, List, Optional, Tuple
  import torch
  from torch import nn, Tensor
  from torch.nn import functional
  from torchvision.ops import complete_box_iou_loss, distance_box_iou_loss, FrozenBatchNorm2d, generalized_box_iou_loss
label_desc: Use image node_id 1 to create a new SSDMatcher object from inherited base classes: Matcher with example: obj = SSDMatcher(threshold)