class_docstr: Mask R-CNN with a ResNet backbone and FPN.
  
  Please refer to :class:`~chainercv.links.model.fpn.FasterRCNNFPNResNet`.
class_docstr_tok: ["Mask","R-CNN","with","a","ResNet","backbone","and","FPN",".","Please","refer","to",":","class",":","`","~chainercv.links.model.fpn.FasterRCNNFPNResNet","`","."]
code: def __init__(
      self,
      n_fg_class=None,
      pretrained_model=None,
      return_values=["masks", "labels", "scores"],
      min_size=800,
      max_size=1333,
  ):
      super(MaskRCNNFPNResNet, self).__init__(
          n_fg_class,
          pretrained_model,
          return_values,
          min_size,
          max_size,
      )
  
imports: from __future__ import division
  import chainer
  import chainer.functions
  import chainer.links
  from chainercv.links.model.fpn.bbox_head import BboxHead
  from chainercv.links.model.fpn.faster_rcnn import FasterRCNN
  from chainercv.links.model.fpn.fpn import FPN
  from chainercv.links.model.fpn.mask_head import MaskHead
  from chainercv.links.model.fpn.rpn import RPN
  from chainercv.links.model.resnet import ResNet101
  from chainercv.links.model.resnet import ResNet50
  from chainercv import utils
label_desc: Use image node_id 1 to create a new MaskRCNNFPNResNet object from inherited base classes: FasterRCNNFPNResNet with example: obj = MaskRCNNFPNResNet(n_fg_class, pretrained_model, return_values, min_size, max_size)