Dectect optimization

@@ -100,6 +100,7 @@ function main()
     let canvasContext = canvasOutput.getContext('2d');
     let src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
     let dst = new cv.Mat(video.height, video.width, cv.CV_8UC4);
+    let msize = new cv.Size(video.width / 4, video.height / 4);
     let dsize = new cv.Size(canvasOutput.width, canvasOutput.height);
     let cap = new cv.VideoCapture(video);
     let faces = new cv.RectVector();
@@ -152,7 +153,6 @@ function main()
             cv.flip(src, src, 1);
             src.copyTo(dst);
             // detect faces.
-            let msize = new cv.Size(video.width / 4, video.height / 4);
             classifier.detectMultiScale(dst, faces, 1.1, 5, 0, msize);
             // draw faces.
             for (let i = 0; i < faces.size(); ++i) {

@@ -81,6 +81,7 @@ function main()
     let canvasContext = canvasOutput.getContext('2d');
     let src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
     let dst = new cv.Mat(video.height, video.width, cv.CV_8UC4);
+    let msize = new cv.Size(video.width / 4, video.height / 4);
     let dsize = new cv.Size(canvasOutput.width, canvasOutput.height);
     let cap = new cv.VideoCapture(video);
     let faces = new cv.RectVector();
@@ -132,7 +133,6 @@ function main()
             cv.flip(src, src, 1);
             src.copyTo(dst);
             // detect faces.
-            let msize = new cv.Size(video.width / 4, video.height / 4);
             classifier.detectMultiScale(dst, faces, 1.1, 5, 0, msize);
             // draw faces.
             for (let i = 0; i < faces.size(); ++i) {