import static org.bytedeco.javacpp.opencv_core.*;
import static org.bytedeco.javacpp.opencv_imgproc.*;
import static org.bytedeco.javacpp.opencv_imgcodecs.*;

public class Smoother {
    public static void smooth(String filename) { 
        IplImage image = cvLoadImage(filename);
        if (image != null) {
            cvSmooth(image, image);
            cvSaveImage(filename, image);
            cvReleaseImage(image);
        }
    }
}

import java.io.File;
import java.net.URL;
import org.bytedeco.javacv.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.indexer.*;
import static org.bytedeco.javacpp.opencv_core.*;
import static org.bytedeco.javacpp.opencv_imgproc.*;
import static org.bytedeco.javacpp.opencv_calib3d.*;
import static org.bytedeco.javacpp.opencv_objdetect.*;

public class Demo {
    public static void main(String[] args) throws Exception {
        String classifierName = null;
        if (args.length > 0) {
            classifierName = args[0];
        } else {
            URL url = new URL("https://raw.github.com/Itseez/opencv/2.4.0/data/haarcascades/haarcascade_frontalface_alt.xml");
            File file = Loader.extractResource(url, null, "classifier", ".xml");
            file.deleteOnExit();
            classifierName = file.getAbsolutePath();
        }

        // Preload the opencv_objdetect module to work around a known bug.
        Loader.load(opencv_objdetect.class);

        // We can "cast" Pointer objects by instantiating a new object of the desired class.
        CvHaarClassifierCascade classifier = new CvHaarClassifierCascade(cvLoad(classifierName));
        if (classifier.isNull()) {
            System.err.println("Error loading classifier file \"" + classifierName + "\".");
            System.exit(1);
        }

        // The available FrameGrabber classes include OpenCVFrameGrabber (opencv_videoio),
        // DC1394FrameGrabber, FlyCaptureFrameGrabber, OpenKinectFrameGrabber,
        // PS3EyeFrameGrabber, VideoInputFrameGrabber, and FFmpegFrameGrabber.
        FrameGrabber grabber = FrameGrabber.createDefault(0);
        grabber.start();

        // CanvasFrame, FrameGrabber, and FrameRecorder use Frame objects to communicate image data.
        // We need a FrameConverter to interface with other APIs (Android, Java 2D, or OpenCV).
        OpenCVFrameConverter.ToIplImage converter = new OpenCVFrameConverter.ToIplImage();

        // FAQ about IplImage and Mat objects from OpenCV:
        // - For custom raw processing of data, createBuffer() returns an NIO direct
        //   buffer wrapped around the memory pointed by imageData, and under Android we can
        //   also use that Buffer with Bitmap.copyPixelsFromBuffer() and copyPixelsToBuffer().
        // - To get a BufferedImage from an IplImage, or vice versa, we can chain calls to
        //   Java2DFrameConverter and OpenCVFrameConverter, one after the other.
        // - Java2DFrameConverter also has static copy() methods that we can use to transfer
        //   data more directly between BufferedImage and IplImage or Mat via Frame objects.
        IplImage grabbedImage = converter.convert(grabber.grab());
        int width  = grabbedImage.width();
        int height = grabbedImage.height();
        IplImage grayImage    = IplImage.create(width, height, IPL_DEPTH_8U, 1);
        IplImage rotatedImage = grabbedImage.clone();

        // Objects allocated with a create*() or clone() factory method are automatically released
        // by the garbage collector, but may still be explicitly released by calling release().
        // You shall NOT call cvReleaseImage(), cvReleaseMemStorage(), etc. on objects allocated this way.
        CvMemStorage storage = CvMemStorage.create();

        // The OpenCVFrameRecorder class simply uses the CvVideoWriter of opencv_videoio,
        // but FFmpegFrameRecorder also exists as a more versatile alternative.
        FrameRecorder recorder = FrameRecorder.createDefault("output.avi", width, height);
        recorder.start();

        // CanvasFrame is a JFrame containing a Canvas component, which is hardware accelerated.
        // It can also switch into full-screen mode when called with a screenNumber.
        // We should also specify the relative monitor/camera response for proper gamma correction.
        CanvasFrame frame = new CanvasFrame("Some Title", CanvasFrame.getDefaultGamma()/grabber.getGamma());

        // Let's create some random 3D rotation...
        CvMat randomR = CvMat.create(3, 3), randomAxis = CvMat.create(3, 1);
        // We can easily and efficiently access the elements of matrices and images
        // through an Indexer object with the set of get() and put() methods.
        DoubleIndexer Ridx = randomR.createIndexer(), axisIdx = randomAxis.createIndexer();
        axisIdx.put(0, (Math.random()-0.5)/4, (Math.random()-0.5)/4, (Math.random()-0.5)/4);
        cvRodrigues2(randomAxis, randomR, null);
        double f = (width + height)/2.0;  Ridx.put(0, 2, Ridx.get(0, 2)*f);
                                          Ridx.put(1, 2, Ridx.get(1, 2)*f);
        Ridx.put(2, 0, Ridx.get(2, 0)/f); Ridx.put(2, 1, Ridx.get(2, 1)/f);
        System.out.println(Ridx);

        // We can allocate native arrays using constructors taking an integer as argument.
        CvPoint hatPoints = new CvPoint(3);

        while (frame.isVisible() && (grabbedImage = converter.convert(grabber.grab())) != null) {
            cvClearMemStorage(storage);

            // Let's try to detect some faces! but we need a grayscale image...
            cvCvtColor(grabbedImage, grayImage, CV_BGR2GRAY);
            CvSeq faces = cvHaarDetectObjects(grayImage, classifier, storage,
                    1.1, 3, CV_HAAR_FIND_BIGGEST_OBJECT | CV_HAAR_DO_ROUGH_SEARCH);
            int total = faces.total();
            for (int i = 0; i < total; i++) {
                CvRect r = new CvRect(cvGetSeqElem(faces, i));
                int x = r.x(), y = r.y(), w = r.width(), h = r.height();
                cvRectangle(grabbedImage, cvPoint(x, y), cvPoint(x+w, y+h), CvScalar.RED, 1, CV_AA, 0);

                // To access or pass as argument the elements of a native array, call position() before.
                hatPoints.position(0).x(x-w/10)   .y(y-h/10);
                hatPoints.position(1).x(x+w*11/10).y(y-h/10);
                hatPoints.position(2).x(x+w/2)    .y(y-h/2);
                cvFillConvexPoly(grabbedImage, hatPoints.position(0), 3, CvScalar.GREEN, CV_AA, 0);
            }

            // Let's find some contours! but first some thresholding...
            cvThreshold(grayImage, grayImage, 64, 255, CV_THRESH_BINARY);

            // To check if an output argument is null we may call either isNull() or equals(null).
            CvSeq contour = new CvSeq(null);
            cvFindContours(grayImage, storage, contour, Loader.sizeof(CvContour.class),
                    CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
            while (contour != null && !contour.isNull()) {
                if (contour.elem_size() > 0) {
                    CvSeq points = cvApproxPoly(contour, Loader.sizeof(CvContour.class),
                            storage, CV_POLY_APPROX_DP, cvContourPerimeter(contour)*0.02, 0);
                    cvDrawContours(grabbedImage, points, CvScalar.BLUE, CvScalar.BLUE, -1, 1, CV_AA);
                }
                contour = contour.h_next();
            }

            cvWarpPerspective(grabbedImage, rotatedImage, randomR);

            Frame rotatedFrame = converter.convert(rotatedImage);
            frame.showImage(rotatedFrame);
            recorder.record(rotatedFrame);
        }
        frame.dispose();
        recorder.stop();
        grabber.stop();
    }
}