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vue实现人脸比对

2026-01-08 15:06:00VUE

Vue 实现人脸比对的方法

使用 TensorFlow.js 和 Face-api.js

安装必要的依赖库：

npm install face-api.js tensorflow.js

在 Vue 组件中引入 face-api.js：

import * as faceapi from 'face-api.js';

加载模型并初始化：

async loadModels() {
  await faceapi.nets.tinyFaceDetector.loadFromUri('/models');
  await faceapi.nets.faceLandmark68Net.loadFromUri('/models');
  await faceapi.nets.faceRecognitionNet.loadFromUri('/models');
}

检测和比对两张图片中的人脸：

async compareFaces(image1, image2) {
  const img1 = await faceapi.fetchImage(image1);
  const img2 = await faceapi.fetchImage(image2);

  const detection1 = await faceapi.detectSingleFace(img1).withFaceLandmarks().withFaceDescriptor();
  const detection2 = await faceapi.detectSingleFace(img2).withFaceLandmarks().withFaceDescriptor();

  if (!detection1 || !detection2) return 0;

  const distance = faceapi.euclideanDistance(detection1.descriptor, detection2.descriptor);
  const similarity = (1 - distance) * 100;
  return similarity.toFixed(2);
}

使用 OpenCV.js

安装 OpenCV.js：

npm install opencv.js

在 Vue 组件中引入 OpenCV.js：

import cv from 'opencv.js';

检测和比对两张图片中的人脸：

compareFaces(image1, image2) {
  const src1 = cv.imread(image1);
  const src2 = cv.imread(image2);

  const gray1 = new cv.Mat();
  const gray2 = new cv.Mat();
  cv.cvtColor(src1, gray1, cv.COLOR_RGBA2GRAY);
  cv.cvtColor(src2, gray2, cv.COLOR_RGBA2GRAY);

  const faceCascade = new cv.CascadeClassifier();
  faceCascade.load('haarcascade_frontalface_default.xml');

  const faces1 = new cv.RectVector();
  const faces2 = new cv.RectVector();
  faceCascade.detectMultiScale(gray1, faces1);
  faceCascade.detectMultiScale(gray2, faces2);

  if (faces1.size() === 0 || faces2.size() === 0) return 0;

  const face1 = faces1.get(0);
  const face2 = faces2.get(0);
  const similarity = cv.matchTemplate(gray1, gray2, cv.TM_CCOEFF_NORMED).data[0];
  return (similarity * 100).toFixed(2);
}

使用第三方 API（如 Face++）

安装 axios：

npm install axios

调用 Face++ API：

import axios from 'axios';

async compareFaces(image1, image2) {
  const formData = new FormData();
  formData.append('api_key', 'YOUR_API_KEY');
  formData.append('api_secret', 'YOUR_API_SECRET');
  formData.append('image_file1', image1);
  formData.append('image_file2', image2);

  const response = await axios.post('https://api-us.faceplusplus.com/facepp/v3/compare', formData);
  return response.data.confidence;
}