docstr: YOLOF network, see https://arxiv.org/abs/2103.09460
  
  Args:
      backbone (nn.Layer): backbone instance
      neck (nn.Layer): DilatedEncoder instance
      head (nn.Layer): YOLOFHead instance
      for_mot (bool): whether return other features for multi-object tracking
          models, default False in pure object detection models.
code: def __init__(
      self,
      backbone="ResNet",
      neck="DilatedEncoder",
      head="YOLOFHead",
      for_mot=False,
  ):
      """
      YOLOF network, see https://arxiv.org/abs/2103.09460
  
      Args:
          backbone (nn.Layer): backbone instance
          neck (nn.Layer): DilatedEncoder instance
          head (nn.Layer): YOLOFHead instance
          for_mot (bool): whether return other features for multi-object tracking
              models, default False in pure object detection models.
      """
      super(YOLOF, self).__init__()
      self.backbone = backbone
      self.neck = neck
      self.head = head
      self.for_mot = for_mot
  
file_path: PaddleDetection/ppdet/modeling/architectures/yolof.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 1 to create a new YOLOF object from inherited base classes: BaseArch with example: obj = YOLOF(backbone, neck, head, for_mot)