code: def __init__(self, stride=0, network="", dataset="", prefix=""):
      super(CascadeRefineProp, self).__init__(need_top_grad=False)
      self.stride = stride
      self.network = network
      self.dataset = dataset
      self.prefix = prefix
  
imports: from __future__ import print_function
  import sys
  import mxnet
  import numpy
  import datetime
  from distutils.util import strtobool
  from ..config import config, generate_config
  from ..processing.generate_anchor import generate_anchors, anchors_plane
  from ..processing.bbox_transform import bbox_overlaps, bbox_transform, landmark_transform
label_desc: Use image node_id 1 to create a new CascadeRefineProp object from inherited base classes: mx.operator with example: obj = CascadeRefineProp(stride, network, dataset, prefix)