手机版数字人分身系统源码搭建与定制化开发指南

随着元宇宙和 AI 技术的发展，数字人分身系统逐渐成为热门应用。本文将详细介绍如何搭建一个手机版数字人分身系统，并提供定制化开发方案，包含核心代码实现。

系统架构设计

手机版数字人分身系统主要由以下几个核心模块组成：

1. 人脸检测与关键点识别模块
2. 3D 数字人模型渲染模块
3. 语音交互与 TTS 模块
4. 动作捕捉与驱动模块
5. 后端服务与 API 接口

开发环境准备

• 前端：React Native (跨平台支持 iOS/Android)
• 后端：Node.js + Express
• AI 模型：TensorFlow Lite (移动端轻量化模型)
• 3D 渲染：Three.js 或 React Native GL

核心功能实现

1. 人脸检测模块

首先实现移动端人脸检测功能，我们使用 TensorFlow Lite 配合相机组件：

import React, { useState, useEffect, useRef } from 'react';
import { View, StyleSheet, Text } from 'react-native';
import { Camera } from 'expo-camera';
import * as tf from '@tensorflow/tfjs-react-native';
import * as facemesh from '@tensorflow-models/facemesh';

const FaceDetector = ({ onFaceDetected }) => {
const [hasPermission, setHasPermission] = useState(null);
const [model, setModel] = useState(null);
const cameraRef = useRef(null);
const frameProcessed = useRef(false);

  // 请求相机权限
useEffect(() => {
(async () => {
const { status } = await Camera.requestCameraPermissionsAsync();
setHasPermission(status === 'granted');

// 加载TensorFlow
await tf.ready();
// 加载人脸网格模型
const faceModel = await facemesh.load({
inputResolution: { width: 320, height: 240 },
scale: 0.8,
});
setModel(faceModel);
})();
}, []);

  // 处理相机帧数据
const handleCameraStream = async (faceDetected) => {
if (frameProcessed.current || !model) return;
frameProcessed.current = true;

    try {
// 获取相机帧
const frame = await cameraRef.current.takePictureAsync({
quality: 0.5,
base64: true,
skipProcessing: true,
});

      // 转换为Tensor
const imgTensor = tf.browser.fromPixels({
data: new Uint8Array(frame.base64),
width: frame.width,
height: frame.height,
});

      // 检测人脸
const predictions = await model.estimateFaces(imgTensor);

// 释放张量
imgTensor.dispose();

// 回调处理结果
if (predictions.length > 0 && onFaceDetected) {
onFaceDetected(predictions[0]);
}
} catch (error) {
console.error('Face detection error:', error);
} finally {
frameProcessed.current = false;
}
};

  if (hasPermission === null) {
return <View />;
}
if (hasPermission === false) {
return <Text>No access to camera</Text>;
}

  return (
<View style={styles.container}>
<Camera
ref={cameraRef}
style={styles.camera}
type={Camera.Constants.Type.front}
onCameraReady={() => {
// 启动帧处理循环
const interval = setInterval(handleCameraStream, 100);
return () => clearInterval(interval);
}}
ratio="16:9"
/>
</View>
);
};

const styles = StyleSheet.create({
container: {
flex: 1,
},
camera: {
flex: 1,
},
});

export default FaceDetector;

2. 3D 数字人渲染模块

使用 React Native 的 3D 渲染库实现数字人模型展示

import React, { useRef, useEffect } from 'react';
import { View, StyleSheet } from 'react-native';
import { Canvas, useFrame } from '@react-three/fiber/native';
import { OrbitControls } from '@react-three/drei/native';
import { useGLTF } from '@react-three/drei/native';

// 数字人模型组件
const AvatarModel = ({ faceData }) => {
const group = useRef();
const { nodes, materials } = useGLTF('./avatar.glb');

// 根据面部数据更新模型表情
useFrame((state, delta) => {
if (faceData && nodes.Head) {
// 简单的表情映射示例
if (faceData.annotations) {
// 计算嘴巴张开程度
const mouthOpen = calculateMouthOpen(faceData.annotations);

// 应用到模型
if (nodes.Jaw) {
nodes.Jaw.rotation.x = -0.3 * mouthOpen;
}
}
}
});

// 计算嘴巴张开程度
const calculateMouthOpen = (annotations) => {
if (!annotations.upperLip || !annotations.lowerLip) return 0;

const upper = annotations.upperLip[10];
const lower = annotations.lowerLip[10];

// 计算上下嘴唇距离
const distance = Math.sqrt(
Math.pow(upper[0] - lower[0], 2) +
Math.pow(upper[1] - lower[1], 2)
);

// 归一化处理
return Math.min(1, distance / 50);
};

return (
<group ref={group} dispose={null}>
<mesh
castShadow
receiveShadow
geometry={nodes.Head.geometry}
material={materials.Skin}
/>
{/* 其他身体部位 */}
</group>
);
};

// 主渲染组件
const AvatarRenderer = ({ faceData }) => {
const canvasRef = useRef();

useEffect(() => {
// 初始化3D环境
}, []);

return (
<View style={styles.container}>
<Canvas ref={canvasRef} style={styles.canvas}>
<ambientLight intensity={0.5} />
<directionalLight
position={[10, 10, 5]}
intensity={1}
castShadow
/>
<AvatarModel faceData={faceData} />
<OrbitControls enableZoom={false} enablePan={false} />
</Canvas>
</View>
);
};

const styles = StyleSheet.create({
container: {
flex: 1,
backgroundColor: '#f0f0f0',
},
canvas: {
flex: 1,
},
});

export default AvatarRenderer;