code: def convert_raw_predictions(self, batch, raw_preds):
      return convert_raw_predictions(
          batch=batch,
          raw_preds=raw_preds,
          records=self.learn.records,
          detection_threshold=0.0,
          mask_threshold=0.0,
      )
  
file_path: icevision/icevision/models/torchvision/mask_rcnn/fastai.py
imports: from icevision.imports import *
  from icevision.engines.fastai import *
  from icevision.models.torchvision.fastai_learner import rcnn_learner
  from icevision.models.torchvision.fastai_callbacks import *
  from icevision.models.torchvision.mask_rcnn.prediction import *
label_desc: Use image node_id 1 for calling the MaskRCNNCallback obj's underlying member method code with example usage: obj.convert_raw_predictions(batch, raw_preds) and returns: convert_raw_predictions