h5用tracking和vue实现人脸识别
时间: 2024-04-28 20:19:55 浏览: 16
要在H5中使用人脸识别,可以使用HTML5的getUserMedia API获取摄像头视频流并交给人脸识别库进行处理。常见的人脸识别库有FaceAPI.js、OpenCV.js、TensorFlow.js等。
以下是一个简单的使用FaceAPI.js和Vue.js实现人脸识别的例子:
1. 首先在HTML中定义一个video元素和一个canvas元素,用于显示摄像头视频流和人脸识别结果:
```html
<template>
<div>
<video ref="video" autoplay></video>
<canvas ref="canvas"></canvas>
</div>
</template>
```
2. 在Vue.js的mounted钩子函数中获取摄像头视频流并将其绑定到video元素上:
```javascript
<script>
import * as faceapi from 'face-api.js'
export default {
mounted() {
navigator.mediaDevices.getUserMedia({ video: true })
.then(stream => {
const video = this.$refs.video
video.srcObject = stream
video.play()
})
.catch(error => {
console.log(error)
})
}
}
</script>
```
3. 在Vue.js的mounted钩子函数中使用FaceAPI.js进行人脸识别并将结果绘制到canvas元素上:
```javascript
<script>
import * as faceapi from 'face-api.js'
export default {
mounted() {
navigator.mediaDevices.getUserMedia({ video: true })
.then(stream => {
const video = this.$refs.video
video.srcObject = stream
video.play()
const canvas = this.$refs.canvas
const displaySize = { width: video.width, height: video.height }
faceapi.matchDimensions(canvas, displaySize)
setInterval(async () => {
const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions())
.withFaceLandmarks()
.withFaceExpressions()
const resizedDetections = faceapi.resizeResults(detections, displaySize)
canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height)
faceapi.draw.drawDetections(canvas, resizedDetections)
faceapi.draw.drawFaceLandmarks(canvas, resizedDetections)
faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
}, 100)
})
.catch(error => {
console.log(error)
})
}
}
</script>
```
注意,由于人脸识别需要不断地对视频流进行处理,因此在例子中使用了setInterval函数来定时进行人脸识别并将结果绘制到canvas元素上。