如何在tensorflow中使用预先训练好的ResNet50？

import tensorflow as tf
from tensorflow.keras.applications.resnet50 import ResNet50
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions

model = ResNet50(weights='imagenet')

img_path = 'path_to_your_image.jpg'
img = image.load_img(img_path, target_size=(224, 224))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = preprocess_input(x)

preds = model.predict(x)

decoded_preds = decode_predictions(preds, top=3)[0]
for pred in decoded_preds:
    print(pred[1], pred[2])