class_docstr: Cascade R-CNN network, see https://arxiv.org/abs/1712.00726
  
  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
      mask_head (object): `MaskHead` instance
      mask_post_process (object): `MaskPostProcess` instance
class_docstr_tok: ["Cascade","R-CNN","network",",","see","https",":","\/\/arxiv.org\/abs\/1712.00726","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","mask_head","(","object",")",":","`","MaskHead","`","instance","mask_post_process","(","object",")",":","`","MaskPostProcess","`","instance"]
code: def get_pred(self):
      bbox_pred, bbox_num, mask_pred = self._forward()
      output = {
          "bbox": bbox_pred,
          "bbox_num": bbox_num,
      }
      if self.with_mask:
          output.update({"mask": mask_pred})
      return output
  
file_path: PaddleDetection/ppdet/modeling/architectures/cascade_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
label_desc: Use image node_id 5 for calling the CascadeRCNN obj's underlying member method code with example usage: obj.get_pred() and returns: output