code: def smooth_BCE(
      eps=0.1,
  ):  # https://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441
      # return positive, negative label smoothing BCE targets
      return 1.0 - 0.5 * eps, 0.5 * eps
  
imports: import glob
  import math
  import os
  import random
  import time
  import cv2
  import matplotlib
  import numpy
  import torch
  import torch.nn
  import torchvision
  from tqdm import tqdm
  from build_utils import torch_utils
label_desc: Use image node_id 10 for calling a global function with example usage: smooth_BCE(eps) and returns: unknown,  unknown