class_docstr: TOOD: Task-aligned One-stage Object Detection with Center R
      
class_docstr_tok: ["TOOD",":","Task-aligned","One-stage","Object","Detection","with","Center","R"]
code: def __init__(
      self, topk=13, alpha=1.0, beta=6.0, center_radius=None, eps=1e-9
  ):
      super(TaskAlignedAssigner_CR, self).__init__()
      self.topk = topk
      self.alpha = alpha
      self.beta = beta
      self.center_radius = center_radius
      self.eps = eps
  
file_path: PaddleDetection/ppdet/modeling/assigners/task_aligned_assigner_cr.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ..bbox_utils import batch_iou_similarity
  from .utils import gather_topk_anchors, check_points_inside_bboxes, compute_max_iou_anchor
label_desc: Use image node_id 1 to create a new TaskAlignedAssigner_CR object from inherited base classes: nn with example: obj = TaskAlignedAssigner_CR(topk, alpha, beta, center_radius, eps)