class_docstr: Extracts and exports image featuers for tensorboard projector during inference
code: def __init__(self, log_dir=None, layer=None):
      super().__init__()
      store_attr()
  
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 1 to create a new TensorBoardProjectorCallback object from inherited base classes: TensorBoardBaseCallback with example: obj = TensorBoardProjectorCallback(log_dir, layer)