需要来自tensorflow的关于多层img输入的keras的帮助或信息

import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, Flatten, Dense

input1 = Input(shape=(height1, width1, channels1), name='input1')
input2 = Input(shape=(height2, width2, channels2), name='input2')

conv1 = Conv2D(32, (3, 3), activation='relu')(input1)
pool1 = MaxPooling2D((2, 2))(conv1)

conv2 = Conv2D(64, (3, 3), activation='relu')(input2)
pool2 = MaxPooling2D((2, 2))(conv2)

merged = keras.layers.concatenate([pool1, pool2])

flatten = Flatten()(merged)
dense1 = Dense(64, activation='relu')(flatten)
output = Dense(num_classes, activation='softmax')(dense1)

model = keras.Model(inputs=[input1, input2], outputs=output)
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])