code: def plot_trajectory(image, tlwhs, track_ids):
      image = image.copy()
      for one_tlwhs, track_id in zip(tlwhs, track_ids):
          color = get_color(int(track_id))
          for tlwh in one_tlwhs:
              x1, y1, w, h = tuple(map(int, tlwh))
              cv2.circle(
                  image,
                  (int(x1 + 0.5 * w), int(y1 + h)),
                  2,
                  color,
                  thickness=2,
              )
      return image
  
file_path: PaddleHub/modules/video/multiple_object_tracking/jde_darknet53/modeling/mot/visualization.py
imports: import cv2
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: plot_trajectory(image, tlwhs, track_ids) and returns: image