How to skip drawing bounding box in the mask rcnn?

I was using the Colab's mask rcnn demo and was trying to skip drawing the bounding box by stating skip_boxes = True in visualize_boxes_and_labels_on_image_array() which is defined here. However, I have the following error:

TypeError                                 Traceback (most recent call last)
<ipython-input-16-5dec21016fcf> in <module>()
     15     skip_boxes = True,
     16     skip_scores=True,
---> 17     skip_labels=True)
     18 
     19 

TypeError: visualize_boxes_and_labels_on_image_array() got an unexpected keyword argument 'skip_boxes'

Here is the code:

max_boxes_to_draw =    4#@param {type:"integer"}
min_score_thresh = 0.3    #@param {type:"slider", min:0, max:1, step:0.01}

image_with_detections = visualization_utils.visualize_boxes_and_labels_on_image_array(
    np_image,
    boxesUpdated,
    classesUpdated,
    scoresUpdated,
    category_index,
    instance_boundaries=None,
    instance_masks=segmentationsUpdated,
    use_normalized_coordinates=False,
    max_boxes_to_draw=max_boxes_to_draw,
    min_score_thresh=min_score_thresh,
    skip_boxes = True,
    skip_scores=True,
    skip_labels=True)
    

output_image_path = 'test_results.jpg'
Image.fromarray(image_with_detections.astype(np.uint8)).save(output_image_path)
display.display(display.Image(output_image_path, width=1024))