如何在react-native中加载自定义tensorflowJS模型？

npm install @tensorflow/tfjs @tensorflow/tfjs-react-native

react-native link @tensorflow/tfjs-react-native

pod 'TensorFlowLiteC', :podspec => '../node_modules/@tensorflow/tfjs-react-native/ios/TensorFlowLiteC.podspec'

dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.x.x' // 使用适当的版本号替换2.x.x
}

include ':tensorflow-lite'
project(':tensorflow-lite').projectDir = new File(rootProject.projectDir, '../node_modules/@tensorflow/tfjs-react-native/android')

import org.tensorflow.contrib.android.TensorFlowInferenceInterface;

import * as tf from '@tensorflow/tfjs';
import { fetch, decodeJpeg } from '@tensorflow/tfjs-react-native';

async function loadModel() {
  const modelUrl = 'file:///path/to/your/custom_model.json'; // 替换为您的自定义模型文件的路径

  const model = await tf.loadLayersModel(modelUrl);
  return model;
}

async function runInference(model, image) {
  const inputTensor = preprocessImage(image); // 根据您的模型要求预处理图像
  const outputTensor = model.predict(inputTensor);

  // 处理输出张量并返回结果
  return outputTensor;
}

function preprocessImage(image) {
  // 根据您的模型要求实现图像预处理
  // 例如，调整大小、归一化等
}

loadModel().then(async (model) => {
  const image = ...; // 获取要处理的图像
  const result = await runInference(model, image);
  console.log(result);
});