code: def after_pred(self):
      self.learn.yb = [self.learn.xb[1]]
      self.learn.xb = [self.learn.xb[0]]
  
      if not self.training:
          preds = efficientdet.convert_raw_predictions(
              batch=(*self.xb, *self.yb),
              raw_preds=self.pred["detections"],
              records=self.learn.records,
              detection_threshold=0.0,
          )
          self.learn.converted_preds = preds
  
imports: from icevision.models.ross import efficientdet
  from icevision.engines.fastai import *
label_desc: Use image node_id 2 for calling the EfficientDetCallback obj's underlying member method code with example usage: obj.after_pred() without return types