Ich versuche, Schlüssel auf einer Leinwand zu rendern, die ich von Blaze Pose erhalten kann, aber ich schaffe es anscheinend nicht, sie auf die Leinwand zu zeichnen. Ich weiß, dass die x- und y-Werte jedes Schlüsselpunkts abgerufen werden, aber ich kann sie nicht auf der Leinwand anzeigen lassen. Ich habe versucht, den Stil zu ändern, aber bisher ohne Erfolg. Vielen Dank für Ihre Hilfe.
const video = document.getElementById('webcam');
const canvas = document.getElementById('output')
const liveView = document.getElementById('liveView');
const demosSection = document.getElementById('demos');
const enableWebcamButton = document.getElementById('webcamButton');
const ctx = canvas.getContext("2d");
let poses;
function getUserMediaSupported() {
return !!(navigator.mediaDevices &&
navigator.mediaDevices.getUserMedia);
}
if (getUserMediaSupported()) {
enableWebcamButton.addEventListener('click', enableCam);
} else {
console.warn('getUserMedia() is not supported by your browser');
}
// Enable the live webcam view and start classification.
function enableCam(event) {
if (!model) {
return;
}
// Hide the button once clicked.
event.target.classList.add('removed');
// getUsermedia parameters to force video but not audio.
const constraints = {
video: true
};
document.getElementById('output').style.zIndex = "6";
// Activate the webcam stream.
navigator.mediaDevices.getUserMedia(constraints).then(function(stream) {
video.srcObject = stream;
video.addEventListener('loadeddata', predictWebcam);
});
}
async function predictWebcam() {
const videoHeight = video.videoHeight;
const videoWidth = video.videoWidth;
video.width = videoWidth;
video.height = videoHeight;
canvas.width = videoWidth;
canvas.height = videoHeight;
poses = await detector.estimatePoses(video)
//ctx.drawImage(video, 0, 0, video.videoWidth, video.videoHeight);
if(poses && poses.length > 0){
for(const pose of poses){
if(pose.keypoints != null){
drawKeypoints(pose.keypoints);
}
}
}
window.requestAnimationFrame(predictWebcam);
}
function drawKeypoints(keypoints){
for(let i = 0; i < keypoints.length; i++){
drawKeypoint(keypoints[i]);
}
}
function drawKeypoint(keypoint){
ctx.fillStyle = 'Orange';
ctx.strokeStyle = 'Green';
ctx.lineWidth = 2;
const radius = 4;
const circle = new Path2D();
circle.arc(keypoint.x, keypoint.y, radius, 0, 2 * Math.PI)
ctx.fill(circle)
ctx.stroke(circle)
}
// Store the resulting model in the global scope of our app.
let model = undefined;
let detector = undefined;
// Before we can use BlazePose class we must wait for it to finish
async function loadModel(){
model = poseDetection.SupportedModels.BlazePose;
const detectorConfig = {
runtime: 'tfjs',
enableSmoothing: true,
modelType: 'full'
};
detector = await poseDetection.createDetector(model, detectorConfig);
demosSection.classList.remove('invisible');
}
loadModel();
<!DOCTYPE html>
<html lang="en">
<head>
<title>Measuring App</title>
<meta charset="utf-8">
<!-- Import the webpage's stylesheet -->
<link rel="stylesheet" href="style.css">
</head>
<body>
<h1>Measuring App</h1>
<p>Wait for the model to load before clicking the button to enable the webcam - at which point it will become visible to use.</p>
<section id="demos" class="invisible">
<div id="liveView" class="camView">
<button id="webcamButton">Enable Webcam</button>
<canvas id="output"></canvas>
<video id="webcam" autoplay muted width="640" height="480"></video>
</div>
</section>
<!-- Import TensorFlow.js library -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js" type="text/javascript"></script>
<!-- Load the coco-ssd model to use to recognize things in images -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/pose-detection"></script>
<!-- Import the page's JavaScript to do some stuff -->
<script src="script.js" defer></script>
</body>
</html>
body {
font-family: helvetica, arial, sans-serif;
margin: 2em;
color: #3D3D3D;
}
h1 {
font-style: italic;
color: #FF6F00;
}
video {
display: block;
}
section {
opacity: 1;
transition: opacity 500ms ease-in-out;
}
.removed {
display: none;
z-index: -10;
}
.invisible {
opacity: 0.2;
}
.camView {
position: relative;
float: left;
width: calc(100% - 20px);
margin: 10px;
cursor: pointer;
}
.camView p {
position: absolute;
padding: 5px;
background-color: rgba(255, 111, 0, 0.85);
color: #FFF;
border: 1px dashed rgba(255, 255, 255, 0.7);
z-index: 1;
font-size: 12px;
}
#output {
position: absolute;
z-index: -100;
top: 0;
bottom: 0;
left: 0;
} 
![[Web-Frontend] Node.js-Schnellstart](https://img.php.cn/upload/course/000/000/067/662b5d34ba7c0227.png)
您应该进行此修复：
predictCam函数中删除设置画布大小的行：drawKeypoints的开头添加以下行：实际上，我还在 loadModel 函数的开头添加了这一行，以使其完全正常工作。