我正在使用YOLO进行对象检测。当我在Google colab中运行以下代码时，会显示该图像，但是当我将代码保存在py文件中时，它不会显示该图像。

import cv2
import numpy as np
import core.utils as utils
import tensorflow as tf
from PIL import Image

return_elements = ["input/input_data:0","pred_sbbox/concat_2:0","pred_mbbox/concat_2:0","pred_lbbox/concat_2:0"]
pb_file         = "./yolov3_coco.pb"
image_path      = "./docs/images/road.jpeg"
num_classes     = 80
input_size      = 416
graph           = tf.Graph()

original_image = cv2.imread(image_path)
original_image = cv2.cvtColor(original_image,cv2.COLOR_BGR2RGB)
original_image_size = original_image.shape[:2]
image_data = utils.image_preporcess(np.copy(original_image),[input_size,input_size])
image_data = image_data[np.newaxis,...]

return_tensors = utils.read_pb_return_tensors(graph,pb_file,return_elements)


with tf.Session(graph=graph) as sess:
    pred_sbbox,pred_mbbox,pred_lbbox = sess.run(
        [return_tensors[1],return_tensors[2],return_tensors[3]],feed_dict={ return_tensors[0]: image_data})

pred_bbox = np.concatenate([np.reshape(pred_sbbox,(-1,5 + num_classes)),np.reshape(pred_mbbox,np.reshape(pred_lbbox,5 + num_classes))],axis=0)

bboxes = utils.postprocess_boxes(pred_bbox,original_image_size,input_size,0.3)
bboxes = utils.nms(bboxes,0.45,method='nms')
image = utils.draw_bbox(original_image,bboxes)
image = Image.fromarray(image)
image # image works but image.show() does not work.

我也尝试使用

cv2_imshow(image)

但是它不起作用。在这种情况下，它将引发以下错误：

AttributeError: 'Image' object has no attribute 'clip'

如果使用image.show（）不会引发任何错误，但不会显示图像和边框！

有什么主意吗？