OpenCV.js GaussianBlur function is not working?
Question
I'm trying to process image with GaussianBlur.
But I can't make it work. It says:
Uncaught TypeError: fields[fieldName].write is not a function
at Object.toWireType (opencv.js:30)
at Object.GaussianBlur (eval at new_ (opencv.js:30), <anonymous>:9:26)
at Object.proto.<computed> [as GaussianBlur] (opencv.js:30)
at HTMLImageElement.img.onload (pen.js:110)
Here is codepen: https://codepen.io/sundowatch/pen/jOEqrqY?editors=1010
I can't find what is the problem with that.
1 answers
solution1
3 ACCPTED 2019-12-11 04:32:15
It works for me, here is a working example:
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Hello OpenCV.js</title>
</head>
<body>
<h2>Hello OpenCV.js</h2>
<p id="status">OpenCV.js is loading...</p>
<div>
<div class="inputoutput">
<img id="imageSrc" alt="No Image" />
<div class="caption">imageSrc <input type="file" id="fileInput" name="file" /></div>
</div>
<div class="inputoutput">
<canvas id="canvasOutput" ></canvas>
<div class="caption">canvasOutput</div>
</div>
</div>
<script type="text/javascript">
let imgElement = document.getElementById('imageSrc');
let inputElement = document.getElementById('fileInput');
inputElement.addEventListener('change', (e) => {
imgElement.src = URL.createObjectURL(e.target.files[0]);
}, false);
imgElement.onload = function() {
let src = cv.imread(imgElement);
let dst = new cv.Mat();
let ksize = new cv.Size(5, 5);
cv.GaussianBlur(src, dst, ksize, 0, 0, cv.BORDER_DEFAULT);
cv.imshow('canvasOutput', dst);
src.delete(); dst.delete();
};
function onOpenCvReady() {
document.getElementById('status').innerHTML = 'OpenCV.js is ready.';
}
</script>
<script async src="https://docs.opencv.org/master/opencv.js" onload="onOpenCvReady();" type="text/javascript"></script>
</body>
</html>
Your problem is elsewhere. In developer tools on your snippet if I try to get the cv element I get an error. Can you double check that you are loading opencv.js <script async src="https://docs.opencv.org/master/opencv.js" onload="onOpenCvReady();" type="text/javascript"></script> <script async src="https://docs.opencv.org/master/opencv.js" onload="onOpenCvReady();" type="text/javascript"></script>
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