人脸比对 怎么搭建

import React, { useState } from 'react';

function App() {
  const [image, setImage] = useState(null);

  const handleImageUpload = (event) => {
    setImage(event.target.files[0]);
  };

  const handleSubmit = async () => {
    const formData = new FormData();
    formData.append('image', image);
    const response = await fetch('/api/compare', {
      method: 'POST',
      body: formData,
    });
    const result = await response.json();
    console.log(result);
  };

  return (
    <div>
      <input type="file" onChange={handleImageUpload} />
      <button onClick={handleSubmit}>Compare</button>
    </div>
  );
}

export default App;

from flask import Flask, request, jsonify
import tensorflow as tf
import numpy as np

app = Flask(__name__)
model = tf.keras.models.load_model('face_recognition_model.h5')

@app.route('/api/compare', methods=['POST'])
def compare_faces():
    file = request.files['image']
    img = tf.image.decode_image(file.read(), channels=3)
    img = tf.image.resize(img, [160, 160])
    img = np.expand_dims(img, axis=0)
    embeddings = model.predict(img)
    
    # 这里假设有一个函数compare_embeddings用于比较特征向量
    result = compare_embeddings(embeddings)
    return jsonify(result)

def compare_embeddings(embeddings):
    # 实现特征向量的比较逻辑
    pass

if __name__ == '__main__':
    app.run(debug=True)