code: def __init__(self, pos_ignore_thr, neg_ignore_thr, match_times=4):
      super(UniformAssigner, self).__init__()
      self.pos_ignore_thr = pos_ignore_thr
      self.neg_ignore_thr = neg_ignore_thr
      self.match_times = match_times
  
file_path: PaddleDetection/ppdet/modeling/assigners/uniform_assigner.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ppdet.modeling.bbox_utils import batch_bbox_overlaps
  from ppdet.modeling.transformers import bbox_xyxy_to_cxcywh
label_desc: Use image node_id 1 to create a new UniformAssigner object from inherited base classes: nn with example: obj = UniformAssigner(pos_ignore_thr, neg_ignore_thr, match_times)