class_docstr: Faster R-CNN network, see https://arxiv.org/abs/1506.01497
  
  Args:
      backbone (object): backbone instance
      rpn_head (object): `RPNHead` instance
      bbox_head (object): `BBoxHead` instance
      bbox_post_process (object): `BBoxPostProcess` instance
      neck (object): 'FPN' instance
class_docstr_tok: ["Faster","R-CNN","network",",","see","https",":","\/\/arxiv.org\/abs\/1506.01497","Args",":","backbone","(","object",")",":","backbone","instance","rpn_head","(","object",")",":","`","RPNHead","`","instance","bbox_head","(","object",")",":","`","BBoxHead","`","instance","bbox_post_process","(","object",")",":","`","BBoxPostProcess","`","instance","neck","(","object",")",":","'FPN","'","instance"]
code: def __init__(
      self, backbone, rpn_head, bbox_head, bbox_post_process, neck=None
  ):
      super(FasterRCNN, self).__init__()
      self.backbone = backbone
      self.neck = neck
      self.rpn_head = rpn_head
      self.bbox_head = bbox_head
      self.bbox_post_process = bbox_post_process
  
file_path: PaddleDetection/ppdet/modeling/architectures/faster_rcnn.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from ppdet.core.workspace import register, create
  from .meta_arch import BaseArch
  import numpy
label_desc: Use image node_id 1 to create a new FasterRCNN object from inherited base classes: BaseArch with example: obj = FasterRCNN(backbone, rpn_head, bbox_head, bbox_post_process, neck)