npm install face-api.js

git clone https://github.com/justadudewhohacks/face-api.js.git

<template>
  <div class="face-recognition">
    <video ref="video" width="640" height="480" autoplay></video>
    <canvas ref="canvas" width="640" height="480"></canvas>
    <div>當(dāng)前人流量：{{ peopleCount }}</div>
  </div>
</template>
<script>
import * as faceapi from 'face-api.js';
export default {
  name: 'FaceRecognition',
  data() {
    return {
      isLoaded: false,
      lastDetections: [], // 上一幀檢測(cè)到的人臉
      peopleCount: 0, // 當(dāng)前人流量計(jì)數(shù)
    };
  },
  mounted() {
    this.loadModels();
  },
  methods: {
    async loadModels() {
      try {
        await Promise.all([
          faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
          faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
          faceapi.nets.ssdMobilenetv1.loadFromUri('/models'),
        ]);
        this.isLoaded = true;
        this.startVideo();
      } catch (error) {
        console.error('Failed to load models:', error);
      }
    },
    startVideo() {
      if (navigator.mediaDevices && this.isLoaded) {
        navigator.mediaDevices.getUserMedia({ video: true })
          .then(stream => {
            this.$refs.video.srcObject = stream;
            this.$refs.video.onloadedmetadata = () => {
              this.detectFaces();
            };
          })
          .catch(error => console.error('getUserMedia error:', error));
      }
    },
    async detectFaces() {
      const video = this.$refs.video;
      const canvas = this.$refs.canvas;
      const ctx = canvas.getContext('2d');
      const detectionOptions = new faceapi.SsdMobilenetv1Options({ minConfidence: 0.9 });
      let recentDetections = [];
      const detectionHistoryLength = 5;
      setInterval(async () => {
        if (video.readyState === video.HAVE_ENOUGH_DATA) {
          ctx.drawImage(video, 0, 0, canvas.width, canvas.height);
          const detections = await faceapi.detectAllFaces(video, detectionOptions).withFaceLandmarks();
          // console.log('查看獲取幀',validDescriptors)
          // 確保只收集有效的面部描述符
          const validDescriptors = detections
          console.log('查看獲取幀',validDescriptors)
          recentDetections.push(...validDescriptors.map(face => face.descriptor));
          // 限制歷史長(zhǎng)度并去重
          recentDetections = recentDetections.slice(-detectionHistoryLength);
          // console.log('查看獲取幀',recentDetections)
          const uniqueDescriptors = Array.from(new Set(recentDetections));
          this.peopleCount = uniqueDescriptors.length; // 直接使用去重后的數(shù)組長(zhǎng)度，因已排除undefined，無(wú)需JSON.stringify和parse
          faceapi.draw.drawDetections(canvas, detections);
          faceapi.draw.drawFaceLandmarks(canvas, detections);
        }
      }, 100);
    }
  },
  beforeDestroy() {
    // 清理視頻流
    if (this.$refs.video.srcObject) {
      this.$refs.video.srcObject.getTracks().forEach(track => track.stop());
    }
  },
};
</script>
<style scoped>
.face-recognition {
  position: relative;
}
</style>

<template>
    <div id="app">
      <FaceDetection />
    </div>
  </template>
  <script>
  import FaceDetection from '@/components/FaceDetection/FaceDetection.vue';
  export default {
    name: 'App',
    components: {
      FaceDetection,
    },
  };
  </script>