  from typing import cast, Callable, Dict, List, Optional, Tuple, TYPE_CHECKING
  
  import cv2
  import numpy as np
  from matplotlib import backend_bases, figure, pyplot as plt, rcParams
  
  from lib.image import read_image_meta
  from lib.keypress import KBHit
  from lib.multithreading import MultiThread
  from lib.utils import (deprecation_warning, get_dpi, get_folder, get_image_paths,
 
</s> remove from typing import cast, Callable, Dict, List, Optional, Tuple, TYPE_CHECKING
 </s> add from threading import Event
from typing import cast, Callable, Dict, List, Optional, TYPE_CHECKING </s> remove from lib.multithreading import MultiThread
from lib.utils import (deprecation_warning, get_dpi, get_folder, get_image_paths,
 </s> add from lib.multithreading import MultiThread, FSThread
from lib.training import Preview, PreviewBuffer, TriggerType
from lib.utils import (deprecation_warning, get_folder, get_image_paths, </s> remove from threading import Lock
 </s> add  </s> remove logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
 </s> add logger = logging.getLogger(__name__)
  from typing import cast, Callable, Dict, List, Optional, Tuple, TYPE_CHECKING
  
  import cv2
  import numpy as np

  
  from lib.image import read_image_meta
  from lib.keypress import KBHit
  from lib.multithreading import MultiThread
  from lib.utils import (deprecation_warning, get_dpi, get_folder, get_image_paths,
keep keep keep keep replace keep keep keep keep keep
 Training - Use custom preview pop-out 
scripts/train.py