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62 lines
1.6 KiB
Plaintext
62 lines
1.6 KiB
Plaintext
import gab.opencv.*;
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import org.opencv.core.Core;
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import org.opencv.core.Mat;
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import org.opencv.core.Size;
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import org.opencv.core.Point;
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import org.opencv.core.Scalar;
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import org.opencv.core.CvType;
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import org.opencv.imgproc.Imgproc;
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OpenCV opencv;
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PImage src,dst, hist, histMask;
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Mat skinHistogram;
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void setup(){
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src = loadImage("test.jpg");
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src.resize(src.width/2, 0);
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size(src.width*2 + 256, src.height);
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// third argument is: useColor
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opencv = new OpenCV(this, src, true);
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skinHistogram = Mat.zeros(256, 256, CvType.CV_8UC1);
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Core.ellipse(skinHistogram, new Point(113.0, 155.6), new Size(40.0, 25.2), 43.0, 0.0, 360.0, new Scalar(255, 255, 255), Core.FILLED);
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histMask = createImage(256,256, ARGB);
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opencv.toPImage(skinHistogram, histMask);
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hist = loadImage("cb-cr.png");
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hist.blend(histMask, 0,0,256,256,0,0,256,256, ADD);
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dst = opencv.getOutput();
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dst.loadPixels();
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for(int i = 0; i < dst.pixels.length; i++){
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Mat input = new Mat(new Size(1, 1), CvType.CV_8UC3);
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input.setTo(colorToScalar(dst.pixels[i]));
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Mat output = opencv.imitate(input);
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Imgproc.cvtColor(input, output, Imgproc.COLOR_BGR2YCrCb );
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double[] inputComponents = output.get(0,0);
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if(skinHistogram.get((int)inputComponents[1], (int)inputComponents[2])[0] > 0){
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dst.pixels[i] = color(255);
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} else {
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dst.pixels[i] = color(0);
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}
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}
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dst.updatePixels();
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}
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// in BGR
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Scalar colorToScalar(color c){
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return new Scalar(blue(c), green(c), red(c));
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}
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void draw(){
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image(src,0,0);
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image(dst, src.width, 0);
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image(hist, src.width*2, 0);
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}
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