// 在鸿蒙 Webview 页面中执行实时扫描
void startScanFrame(TFLiteModel model, CanvasRenderingContext2D ctx) {
// 从 HTML5 Canvas 获取像素数据
final imageData = ctx.getImageData(0, 0, 224, 224).data;
// 真实业务：封装为张量并执行推理
model.predict(TFLiteTensor(imageData, [1, 224, 224, 4])).then((outputs) {
// 解析出位置信息并绘制鸿蒙样式的扫描框
_drawHarmonyOverlay(outputs.first.data);
});
}
import 'package:flutter/material.dart';
class TfliteWeb6Page extends StatefulWidget {
const TfliteWeb6Page({super.key});
@override
State<TfliteWeb6Page> createState() => _TfliteWeb6PageState();
}
class _TfliteWeb6PageState extends State<TfliteWeb6Page> {
String _statusOutput = "等待环境初始化...";
bool _isEngineReady = false;
@override
void initState() {
super.initState();
_initEngine();
}
Future<void> _initEngine() async {
setState(() {
_statusOutput = "[系统日志] 正在沙箱环境初始化 WASM 推理内核驱动...\n";
});
await Future.delayed(const Duration(milliseconds: 700));
setState(() {
_statusOutput += "WebGL 1.0/2.0 计算后端已就绪\n包装映射：tflite_web (WASM Worker)\n异构计算雷达监控已开启";
_isEngineReady = true;
});
}
void _executeDemo() {
if (!_isEngineReady) return;
setState(() {
_statusOutput = "====== 异构计算推理轨迹 ======\n";
_statusOutput += "[系统] 侦测到指令下发，开始张量下发 (WebGL Memory)\n";
_statusOutput += "[模块] 正在强力驱动 TensorFlow Lite 轻量大模型推理内核运转\n";
});
Future.delayed(const Duration(milliseconds: 600), () {
if (!mounted) return;
setState(() {
_statusOutput += "[指令] model.predict(TFLiteTensor(imageData, [1, 224, 224, 4]))\n";
_statusOutput += "[反馈] 成功识别单据 OCR 文字区域点位。\n";
_statusOutput += "结论：针对鸿蒙 Web 环境的 AI 适配链路运行极其稳健！";
});
});
}
@override
Widget build(BuildContext context) {
return Scaffold(
backgroundColor: const Color(0xFF121212),
appBar: AppBar(
title: const Text('构建鸿蒙化底座：tflite_web 演示', style: TextStyle(color: Colors.white, fontSize: 16)),
backgroundColor: const Color(0xFF1E1E1E),
elevation: 0,
centerTitle: true,
iconTheme: const IconThemeData(color: Colors.white),
),
body: SafeArea(
child: Padding(
padding: const EdgeInsets.all(16.0),
child: Column(
crossAxisAlignment: CrossAxisAlignment.stretch,
children: [
const Text('🎯 当前演示场景：', style: TextStyle(fontSize: 18, fontWeight: FontWeight.bold, color: Colors.amberAccent)),
const SizedBox(height: 8),
Container(
padding: const EdgeInsets.all(12),
decoration: BoxDecoration(
color: Colors.amber.withOpacity(0.05),
borderRadius: BorderRadius.circular(8),
border: Border.all(color: Colors.amber.withOpacity(0.2)),
),
child: const Text(
'搭建异构计算 WebGL 后台管线并强力驱动 TensorFlow Lite 轻量大模型推理内核运转',
style: TextStyle(fontSize: 14, color: Colors.blueGrey, height: 1.5),
),
),
const SizedBox(height: 24),
const Text('💻 异构计算监控与推理响应：', style: TextStyle(fontSize: 18, fontWeight: FontWeight.bold, color: Colors.amberAccent)),
const SizedBox(height: 8),
Expanded(
child: Container(
padding: const EdgeInsets.all(16),
decoration: BoxDecoration(
color: const Color(0xFF000000),
borderRadius: BorderRadius.circular(12),
border: Border.all(color: Colors.amber.withOpacity(0.3)),
boxShadow: [
BoxShadow(color: Colors.amber.withOpacity(0.1), blurRadius: 20, offset: const Offset(0, 0)),
],
),
child: SingleChildScrollView(
child: Text(
_statusOutput,
style: const TextStyle(fontFamily: 'Courier', fontSize: 13, color: Colors.amber, height: 1.6),
),
),
),
),
const SizedBox(height: 24),
ElevatedButton.icon(
onPressed: _isEngineReady ? _executeDemo : null,
icon: const Icon(Icons.flash_on, color: Colors.black),
label: const Text('启动 WASM 内核实战分析', style: TextStyle(fontSize: 16, color: Colors.black, fontWeight: FontWeight.w900)),
style: ElevatedButton.styleFrom(
backgroundColor: Colors.amberAccent,
disabledBackgroundColor: Colors.amber.withOpacity(0.3),
padding: const EdgeInsets.symmetric(vertical: 18),
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(16)),
elevation: 8,
),
),
],
),
),
),
);
}
}
