classification-models-tensorflow/export_onnx.py

import tensorflow as tf
import tf2onnx


# 1. 加载保存的 TensorFlow 模型
model = tf.keras.models.load_model('saved_model')

# 2. 定义模型的输入签名
spec = (tf.TensorSpec((None, 32, 32, 3), tf.float32, name="input"),)

# 3. 转换并保存为 ONNX 格式
output_path = 'vgg16_tensorflow.onnx'
model_proto, _ = tf2onnx.convert.from_keras(model, input_signature=spec, opset=11)

# 4. 保存 ONNX 模型
with open(output_path, "wb") as f:
    f.write(model_proto.SerializeToString())