在Keras中显示预测后的百分比

from keras.models import load_model
from keras.preprocessing import image
import numpy as np

model = load_model('path_to_model.h5')

img = image.load_img('path_to_image.jpg', target_size=(224, 224))

img = image.img_to_array(img)
img = np.expand_dims(img, axis=0)
img = img/255  # 归一化

pred = model.predict(img)

class_names = ['class1', 'class2', 'class3']  # 类别名称列表
pred_percentages = pred[0] * 100  # 将预测结果转换为百分比
for i in range(len(class_names)):
    print(f'{class_names[i]}: {pred_percentages[i]:.2f}%')