class_docstr: CenterNet network, see http://arxiv.org/abs/1904.07850
  
  Args:
      backbone (object): backbone instance
      neck (object): FPN instance, default use 'CenterNetDLAFPN'
      head (object): 'CenterNetHead' instance
      post_process (object): 'CenterNetPostProcess' instance
      for_mot (bool): whether return other features used in tracking model
code: def from_config(cls, cfg, *args, **kwargs):
      backbone = create(cfg["backbone"])
  
      kwargs = {"input_shape": backbone.out_shape}
      neck = cfg["neck"] and create(cfg["neck"], **kwargs)
  
      out_shape = neck and neck.out_shape or backbone.out_shape
      kwargs = {"input_shape": out_shape}
      head = create(cfg["head"], **kwargs)
  
      return {"backbone": backbone, "neck": neck, "head": head}
  
file_path: PaddleDetection/ppdet/modeling/architectures/centernet.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from ppdet.core.workspace import register, create
  from .meta_arch import BaseArch
label_desc: Use image node_id 2 for calling the CenterNet obj's underlying member method code with example usage: obj.from_config(cls, cfg) and returns: dict