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 get_pred(self):
      if self.use_extra_data:
          bbox_pred, bbox_num, extra_data = self._forward()
          output = {
              "bbox": bbox_pred,
              "bbox_num": bbox_num,
              "extra_data": extra_data,
          }
      else:
          bbox_pred, bbox_num = self._forward()
          output = {"bbox": bbox_pred, "bbox_num": bbox_num}
      return output
  
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 6 for calling the FasterRCNN obj's underlying member method code with example usage: obj.get_pred() and returns: output