I try to detect circle in real-time webcam using HoughCircles from Opencv (javascript)
I try to detect circle in real-time webcam so I can find the distance from the camera to circle but in output, in getting a black screen. no detection and all. But I'm getting output when I give an image as input and as output. I have posted all my program please tell me what did I miss.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Distance Testing</title>
<link href="js_example_style.css" rel="stylesheet" type="text/css" />
</head>
<body>
<h2>Distance Testing</h2>
<!-- <p>
Click <b>Start/Stop</b> button to start or stop the video.<br>
The <b>videoInput</b> is a <video> element used as CamShift input.
The <b>canvasOutput</b> is a <canvas> element used as CamShift output.<br>
The code of <textarea> will be executed when video is started.
You can modify the code to investigate more.
</p> -->
<div>
<div class="control">
<button id="startAndStop" disabled>Start</button></div>
<textarea class="code" rows="29" cols="100" id="codeEditor" spellcheck="false" style="display:none">
</textarea>
</div>
<p class="err" id="errorMessage"></p>
<div>
<table cellpadding="0" cellspacing="0" width="0" border="0">
<tr>
<td>
<video id="videoInput" width="520" height="440" muted loop></video>
</td>
<td>
<canvas id="canvasOutput" width="520" height="440"></canvas>
</td>
<td></td>
<td></td>
</tr>
<tr>
<td>
<div class="caption">videoInput</div>
</td>
<td>
<div class="caption">canvasOutput</div>
</td>
<td></td>
<td></td>
</tr>
</table>
</div>
<script src="adapter-5.0.4.js" type="text/javascript"></script>
<script src="utils.js" type="text/javascript"></script>
<script id="codeSnippet" type="text/code-snippet">
const DISTANCE_TO_OBJECT = 30;
const RADIUS_OF_MARKER = 1.0;
const FOCAL_LENGTH = 906.107;
const FPS = 30;
var video = document.getElementById('videoInput');
var src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
let dst = cv.Mat.zeros(video.height, video.width, cv.CV_8UC1);
var ksize = new cv.Size(4, 4);
var anchor = new cv.Point(-1, -1);
debugger;
// let src = cv.imread('canvasInput');
// let dst = cv.Mat.zeros(src.rows, src.cols, cv.CV_8U);
let circles = new cv.Mat();
let color = new cv.Scalar(255, 0, 0);
cv.cvtColor(src, src, cv.COLOR_RGBA2GRAY, 0);
// cv.blur(src, src, ksize, anchor, cv.BORDER_DEFAULT);
// You can try more different parameters
cv.HoughCircles(src, circles, cv.HOUGH_GRADIENT, 1, 45, 75, 40, 0, 0);
// draw circles
for (let i = 0; i < circles.width; ++i) {
let x = circles.data32F[i * 3];
let y = circles.data32F[i * 3 + 1];
let radius = circles.data32F[i * 3 + 2];
let center = new cv.Point(x, y);
cv.circle(dst, center, radius, color, 3);
let distance = (RADIUS_OF_MARKER * FOCAL_LENGTH) / radius;
console.log("Distance is : " + distance + " cm");
// cv.putText(dst, "Distance is : " + distance + "cm", {x: dst.x, y: dst.y}, cv.FONT_HERSHEY_SIMPLEX, 1.0, [0, 255, 0, 255]);
// $("#difference").html("<b> Distance is : </b>" + distance);
}
cv.imshow('canvasOutput', dst);
let delay = 1000/FPS;
src.delete(); dst.delete(); circles.delete ...