如何禁止tensorflow显示每个类的检测分数，以使边界框预测可读

import tensorflow as tf
from object_detection.utils import visualization_utils as viz_utils

# 加载模型
model = tf.saved_model.load('path/to/saved_model')

# 加载标签映射
category_index = label_map_util.create_category_index_from_labelmap('path/to/label_map.pbtxt', use_display_name=True)

# 获取模型的签名函数
infer = model.signatures['serving_default']

# 执行推理
detections = infer(image)

# 禁用检测分数的显示
viz_utils.visualize_boxes_and_labels_on_image_array(
    image,
    detections['detection_boxes'][0].numpy(),
    detections['detection_classes'][0].numpy().astype(int),
    category_index,
    use_normalized_coordinates=True,
    max_boxes_to_draw=200,
    min_score_thresh=0.0,
    agnostic_mode=False)

# 显示预测结果
plt.imshow(image)
plt.show()