code: def _setup_projector(self):
      self.run_projector = True
      self.h = hook_output(
          self.learn.model[1][1] if not self.layer else self.layer
      )
      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 5 for calling the TensorBoardBaseCallback obj's underlying member method code with example usage: obj._setup_projector() without return types