概要
opencv.jsの作法を調べてみた。
実行環境
sandboxを用意した。以下のコードは動く。
http://jsdo.it/ohisama1/YSHs/
写真
顔検出
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();
let eyeCascade = new cv.CascadeClassifier();
faceCascade.load('haarcascade_frontalface_default.xml');
eyeCascade.load('haarcascade_eye.xml');
let msize = new cv.Size(0, 0);
faceCascade.detectMultiScale(gray, faces, 1.1, 3, 0, msize, msize);
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]);
eyeCascade.detectMultiScale(roiGray, eyes);
for (let j = 0; j < eyes.size(); ++j)
{
let point1 = new cv.Point(eyes.get(j).x, eyes.get(j).y);
let point2 = new cv.Point(eyes.get(j).x + eyes.get(j).width, eyes.get(j).y + eyes.get(j).height);
cv.rectangle(roiSrc, point1, point2, [0, 0, 255, 255]);
}
roiGray.delete();
roiSrc.delete();
}
cv.imshow('canvasOutput', src);
src.delete();
gray.delete();
faceCascade.delete();
eyeCascade.delete();
faces.delete();
eyes.delete();
以上。