text: import cv2
  
  
  # ==========================================================
  # 绘图函数  根据 神经网络的处理结果  对原图进行标注 返回标注好的图片
  def draw_new(image, bboxes, line_thickness=None):
      # Plots one bounding box on image img
      tl = line_thickness or round(
          0.002 * (image.shape[0] + image.shape[1]) / 2) + 1  # line/font thickness
      for (x1, y1, x2, y2, cls_id, v,car_num) in bboxes:
          if cls_id in ['person']:
              color = (0, 0, 255)
          # 'car' or'truck' or 'bus'
          else:
              cls_id = 'Traffic Tools'
              color = (0, 255, 0)
  
          c1, c2 = (x1, y2), (x2, y1)
          cv2.rectangle(image, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
          tf = max(tl - 1, 1)  # font thickness
          t_size = cv2.getTextSize(cls_id, 0, fontScale=tl / 3, thickness=tf)[0]
          c2 = c1[0] + t_size[0], c1[1] - t_size[1] - 3
          cv2.rectangle(image, c1, c2, color, -1, cv2.LINE_AA)  # filled
          cv2.putText(image, '{}'.format(v), (c1[0]-2, c1[1] - 2), 0, tl / 3,
                      [225, 255, 255], thickness=tf, lineType=cv2.LINE_AA)
      return image
  # ==========================================================