code: def after_pred(self):
      if self.run_projector:
          self.feat = _add_projector_features(
              self.learn, self.h, self.feat
          )
  
imports: from __future__ import annotations
  from ..basics import *
  import tensorboard
  from torch.utils.tensorboard import SummaryWriter
  from .fp16 import ModelToHalf
  from .hook import hook_output
  from ..text.all import LMLearner, TextLearner
  from ..vision.data import *
  from ..vision.core import TensorPoint, TensorBBox
label_desc: Use image node_id 2 for calling the TensorBoardBaseCallback obj's underlying member method code with example usage: obj.after_pred() without return types