code: def clip_bbox(bbox, img_width, img_height):
      xmin = max(min(bbox[0], img_width), 0.0)
      ymin = max(min(bbox[1], img_height), 0.0)
      xmax = max(min(bbox[2], img_width), 0.0)
      ymax = max(min(bbox[3], img_height), 0.0)
      return float(xmin), float(ymin), float(xmax), float(ymax)
  
file_path: PaddleHub/modules/image/object_detection/ssd_mobilenet_v1_pascal/processor.py
imports: import base64
  import os
  import cv2
  import numpy
  from PIL import Image
  from PIL import ImageDraw
label_desc: Use image node_id 5 for calling a global function with example usage: clip_bbox(bbox, img_width, img_height) and returns: float,  float,  float,  float