text: import numpy as np
  
  from ..object_detection_2d_visualizer import ObjectDetection2DVisualizer
  from .visualize_bbox import visualize_bbox
  
  
  class BBOXVisualizer(ObjectDetection2DVisualizer):
  
      def visualize(self,
                    image: np.ndarray,
                    object_detection_results: list,
                    bbox_color=(0, 75, 255),
                    text_color=(0, 0, 0)) -> np.ndarray:
          for object_detection_result in object_detection_results:
              visualize_bbox(image,
                             object_detection_result.class_name,
                             object_detection_result.xmin,
                             object_detection_result.ymin,
                             object_detection_result.xmax,
                             object_detection_result.ymax,
                             object_detection_result.confidence,
                             bbox_color=bbox_color,
                             text_color=text_color)
          return image
  