检测人脸是否在视频帧的固定区域
Detect if face is in fixed area of video frame
我正在做一个项目,当该视频中的人的脸位于该视频的固定区域时,我需要从实时视频中自动拍摄帧照片。我正在使用 faceapi 进行人脸检测。我尝试使用嘴巴、鼻子和眼睛坐标,但它不起作用,因为这些坐标在变化,我在不同的地方找到相同的坐标,而且所有人的脸型都不一样。这是我的js代码-
const video = document.getElementById('video')
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri('/models'),
faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
faceapi.nets.faceExpressionNet.loadFromUri('/models')
]).then(startVideo)
function startVideo() {
navigator.getUserMedia(
{ video: {} },
stream => video.srcObject = stream,
err => console.error(err)
)
}
video.addEventListener('play', () => {
const canvas = faceapi.createCanvasFromMedia(video)
document.body.append(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 count = await faceapi
.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions())
.withFaceLandmarks()
if(count.length>1){
alert("There are multiple faces in the frame. Please keep only one face");
}
else{
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)
const landmarks = await faceapi.detectFaceLandmarks(video)
const mouth = landmarks.getMouth()
const nose = landmarks.getNose()
const leftEye = landmarks.getLeftEye();
console.log(mouth[0]._x, mouth[0]._y);
console.log(nose[0]._x, nose[0]._y)
console.log(leftEye[0]._x, leftEye[0]._y)
if((((mouth[0]._x<=330) && (mouth[0]._x>=280)) && ((mouth[0]._y<=310) && (mouth[0]._y>=260))) &&
(((nose[0]._x<=320) && (nose[0]._x>=270)) && ((nose[0]._y<=220) && (nose[0]._y>=160))) &&
(((leftEye[0]._x<=270) && (leftEye[0]._x>=210)) && ((leftEye[0]._y<=240) && (leftEye[0]._y>=180))))
{
alert("Click for perfect photo");
}
else{
//alert("Image not ready");
}
}
}, 100)
})
这是我的 html 代码:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Document</title>
<script defer src="face-api.min.js"></script>
<script defer src="script.js"></script>
<style>
body {
margin: 0;
padding: 0;
width: 100vw;
height: 100vh;
display: flex;
justify-content: center;
align-items: center;
}
canvas {
position: absolute;
}
#box {
width: 450px;
height: 325px;
position: absolute;
background-image: url("paper.png");
background-repeat: no-repeat;
background-size: 450px 325px;
}
</style>
</head>
<body>
<div id="box"></div>
<video id="video" width="500" height="375" autoplay muted></video></body>
<br/>
</body>
</html>
我把图片放在视频帧上是因为我想当人脸在那个区域时自动点击图片。
可以使用检测框的高度、宽度和co-ordinates来计算人脸在画面中的位置和比例。
const frame_height = resizedDetections[0].detection._box._height
const frame_width = resizedDetections[0].detection._box._width
const frame_x = resizedDetections[0].detection._box._x
const frame_y = resizedDetections[0].detection._box._y
我正在做一个项目,当该视频中的人的脸位于该视频的固定区域时,我需要从实时视频中自动拍摄帧照片。我正在使用 faceapi 进行人脸检测。我尝试使用嘴巴、鼻子和眼睛坐标,但它不起作用,因为这些坐标在变化,我在不同的地方找到相同的坐标,而且所有人的脸型都不一样。这是我的js代码-
const video = document.getElementById('video')
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri('/models'),
faceapi.nets.faceLandmark68Net.loadFromUri('/models'),
faceapi.nets.faceRecognitionNet.loadFromUri('/models'),
faceapi.nets.faceExpressionNet.loadFromUri('/models')
]).then(startVideo)
function startVideo() {
navigator.getUserMedia(
{ video: {} },
stream => video.srcObject = stream,
err => console.error(err)
)
}
video.addEventListener('play', () => {
const canvas = faceapi.createCanvasFromMedia(video)
document.body.append(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 count = await faceapi
.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions())
.withFaceLandmarks()
if(count.length>1){
alert("There are multiple faces in the frame. Please keep only one face");
}
else{
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)
const landmarks = await faceapi.detectFaceLandmarks(video)
const mouth = landmarks.getMouth()
const nose = landmarks.getNose()
const leftEye = landmarks.getLeftEye();
console.log(mouth[0]._x, mouth[0]._y);
console.log(nose[0]._x, nose[0]._y)
console.log(leftEye[0]._x, leftEye[0]._y)
if((((mouth[0]._x<=330) && (mouth[0]._x>=280)) && ((mouth[0]._y<=310) && (mouth[0]._y>=260))) &&
(((nose[0]._x<=320) && (nose[0]._x>=270)) && ((nose[0]._y<=220) && (nose[0]._y>=160))) &&
(((leftEye[0]._x<=270) && (leftEye[0]._x>=210)) && ((leftEye[0]._y<=240) && (leftEye[0]._y>=180))))
{
alert("Click for perfect photo");
}
else{
//alert("Image not ready");
}
}
}, 100)
})
这是我的 html 代码:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Document</title>
<script defer src="face-api.min.js"></script>
<script defer src="script.js"></script>
<style>
body {
margin: 0;
padding: 0;
width: 100vw;
height: 100vh;
display: flex;
justify-content: center;
align-items: center;
}
canvas {
position: absolute;
}
#box {
width: 450px;
height: 325px;
position: absolute;
background-image: url("paper.png");
background-repeat: no-repeat;
background-size: 450px 325px;
}
</style>
</head>
<body>
<div id="box"></div>
<video id="video" width="500" height="375" autoplay muted></video></body>
<br/>
</body>
</html>
我把图片放在视频帧上是因为我想当人脸在那个区域时自动点击图片。
可以使用检测框的高度、宽度和co-ordinates来计算人脸在画面中的位置和比例。
const frame_height = resizedDetections[0].detection._box._height
const frame_width = resizedDetections[0].detection._box._width
const frame_x = resizedDetections[0].detection._box._x
const frame_y = resizedDetections[0].detection._box._y