samples.DetectFaceDemo.java Source code

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Here is the source code for samples.DetectFaceDemo.java

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/*
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package samples;

/**
 *
 * @author LABORATORIO 10
 */
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
//import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
class DetectFaceDemo {
    public void run() {
        System.out.println("\nRunning DetectFaceDemo");

        // Create a face detector from the cascade file in the resources
        // directory.
        CascadeClassifier faceDetector = new CascadeClassifier("lbpcascade_frontalface.xml");
        Mat image = Imgcodecs.imread("lena1.png");

        // Detect faces in the image.
        // MatOfRect is a special container class for Rect.
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);

        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

        // Draw a bounding box around each face.
        int i = 0;
        for (Rect rect : faceDetections.toArray()) {
            Mat croped = new Mat(image, rect);
            Imgcodecs.imwrite("face" + (++i) + ".png", croped);
            Imgproc.rectangle(image, new Point(rect.x, rect.y),
                    new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));

        }

        // Save the visualized detection.
        String filename = "faceDetection.png";
        System.out.println(String.format("Writing %s", filename));
        Imgcodecs.imwrite(filename, image);
    }
}