class_docstr: Implementation of `Cascade R-CNN: Delving into High Quality Object
  Detection <https://arxiv.org/abs/1906.09756>`_
class_docstr_tok: ["Implementation","of","`","Cascade","R-CNN",":","Delving","into","High","Quality","Object","Detection","<","https",":","\/\/arxiv.org\/abs\/1906.09756",">","`","_"]
code: def __init__(
      self,
      backbone,
      neck=None,
      rpn_head=None,
      roi_head=None,
      train_cfg=None,
      test_cfg=None,
      pretrained=None,
  ):
      super(CascadeRCNN, self).__init__(
          backbone=backbone,
          neck=neck,
          rpn_head=rpn_head,
          roi_head=roi_head,
          train_cfg=train_cfg,
          test_cfg=test_cfg,
          pretrained=pretrained,
      )
  
imports: from ..builder import DETECTORS
  from .two_stage import TwoStageDetector
label_desc: Use image node_id 1 to create a new CascadeRCNN object from inherited base classes: TwoStageDetector with example: obj = CascadeRCNN(backbone, neck, rpn_head, roi_head, train_cfg, test_cfg, pretrained)