Opencv.js - Detectmultiscale "this Exception Cannot Be Caught"
I'm trying to use facial recognition via OpenCV.js, however when I call on the detectMultiScale() method of the CascadeClassifier object I receive the error: Uncaught 6446128 - Ex
Solution 1:
Following this thread:
The xml files are "pre-built" before loading them with the load function. To achieve this it's used the function createFileFromUrl from utils.js. After that we can finally load our classifier from file.
let classifier = new cv.CascadeClassifier(); // initialize classifierlet utils = newUtils('errorMessage'); //use utils classlet faceCascadeFile = 'haarcascade_frontalface_default.xml'; // path to xml// use createFileFromUrl to "pre-build" the xml
utils.createFileFromUrl(faceCascadeFile, faceCascadeFile, () => {
classifier.load(faceCascadeFile); // in the callback, load the cascade from file
});
Face Detection Other Example
let src = cv.imread('canvasInput');
let gray = new cv.Mat();
cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
let faces = new cv.RectVector();
let eyes = new cv.RectVector();
let faceCascade = new cv.CascadeClassifier();
// load pre-trained classifiers
faceCascade.load('haarcascade_frontalface_default.xml');
// detect faceslet msize = new cv.Size(0, 0);
// try to change scaleFactor and minNeighbors values
faceCascade.detectMultiScale(gray, faces,1.05,0);
for (let i = 0; i < faces.size(); ++i) {
let roiGray = gray.roi(faces.get(i));
let roiSrc = src.roi(faces.get(i));
let point1 = new cv.Point(faces.get(i).x, faces.get(i).y);
let point2 = new cv.Point(faces.get(i).x + faces.get(i).width,
faces.get(i).y + faces.get(i).height);
cv.rectangle(src, point1, point2, [255, 0, 0, 255]);
roiGray.delete(); roiSrc.delete();
}
cv.imshow('canvasOutput', src);
src.delete(); gray.delete(); faceCascade.delete();
faces.delete(); eyes.delete();
Try to change faceCascade.detectMultiScale
parameters like given examples below:
faceCascade.detectMultiScale(gray, faces,1.05,0);
faceCascade.detectMultiScale(gray, faces,1.05,1);
faceCascade.detectMultiScale(gray, faces,2,0);
faceCascade.detectMultiScale(gray, faces,2,1);
faceCascade.detectMultiScale(gray, faces,3,0);
faceCascade.detectMultiScale(gray, faces,3,1);
faceCascade.detectMultiScale(gray, faces,4,0);
faceCascade.detectMultiScale(gray, faces,4,1);
Solution 2:
The solution is
let faceCascadeFile = 'haarcascade_frontalface_default.xml';
utils.createFileFromUrl(faceCascadeFile, faceCascadeFile, () => {
console.log('cascade ready to load.');
let src = cv.imread('imageInit');
let gray = new cv.Mat();
cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
let faces = new cv.RectVector();
let faceCascade = new cv.CascadeClassifier();
faceCascade.load(faceCascadeFile);
let msize = new cv.Size(0, 0);
faceCascade.detectMultiScale(gray, faces, 1.1, 3, 0, msize, msize);
});
}
For full code and explanation use this link Face Detection with Javascript and OpenCV
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