class_docstr: TTFNet network, see https://arxiv.org/abs/1909.00700
  
  Args:
      backbone (object): backbone instance
      neck (object): 'TTFFPN' instance
      ttf_head (object): 'TTFHead' instance
      post_process (object): 'BBoxPostProcess' instance
class_docstr_tok: ["TTFNet","network",",","see","https",":","\/\/arxiv.org\/abs\/1909.00700","Args",":","backbone","(","object",")",":","backbone","instance","neck","(","object",")",":","'TTFFPN","'","instance","ttf_head","(","object",")",":","'TTFHead","'","instance","post_process","(","object",")",":","'BBoxPostProcess","'","instance"]
code: def get_pred(self):
      bbox_pred, bbox_num = self._forward()
      output = {
          "bbox": bbox_pred,
          "bbox_num": bbox_num,
      }
      return output
  
file_path: PaddleDetection/ppdet/modeling/architectures/ttfnet.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
label_desc: Use image node_id 5 for calling the TTFNet obj's underlying member method code with example usage: obj.get_pred() and returns: output