package cn.csbr.app.Facerecognition;

import java.awt.Graphics;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.awt.image.BufferedImage;

import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.WindowConstants;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgproc.Imgproc;
import org.opencv.ml.SVM;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.objdetect.HOGDescriptor;
import org.opencv.videoio.VideoCapture;
import org.opencv.videoio.Videoio;

public class CaptureBasic extends JPanel {

    private BufferedImage mImg;

    private BufferedImage mat2BI(Mat mat) {
        int dataSize = mat.cols() * mat.rows() * (int) mat.elemSize();
        byte[] data = new byte[dataSize];
        mat.get(0, 0, data);
        int type = mat.channels() == 1 ?
                BufferedImage.TYPE_BYTE_GRAY : BufferedImage.TYPE_3BYTE_BGR;

        if (type == BufferedImage.TYPE_3BYTE_BGR) {
            for (int i = 0; i < dataSize; i += 3) {
                byte blue = data[i + 0];
                data[i + 0] = data[i + 2];
                data[i + 2] = blue;
            }
        }
        BufferedImage image = new BufferedImage(mat.cols(), mat.rows(), type);
        image.getRaster().setDataElements(0, 0, mat.cols(), mat.rows(), data);

        return image;
    }

    public void paintComponent(Graphics g) {
        if (mImg != null) {
            g.drawImage(mImg, 0, 0, mImg.getWidth(), mImg.getHeight(), this);
        }
    }

    public static void main(String[] args) {
        try {
          //  System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

            Mat capImg = new Mat();
            VideoCapture capture = new VideoCapture(0);
            int height = (int) capture.get(Videoio.CAP_PROP_FRAME_HEIGHT);
            int width = (int) capture.get(Videoio.CAP_PROP_FRAME_WIDTH);
            if (height == 0 || width == 0) {
                throw new Exception("camera not found!");
            }

            JFrame frame = new JFrame("camera");
            frame.setDefaultCloseOperation(WindowConstants.DISPOSE_ON_CLOSE);
            CaptureBasic panel = new CaptureBasic();
            panel.addMouseListener(new MouseAdapter() {
                @Override
                public void mouseClicked(MouseEvent arg0) {
                    System.out.println("click");
                }

                @Override
                public void mouseMoved(MouseEvent arg0) {
                    System.out.println("move");

                }

                @Override
                public void mouseReleased(MouseEvent arg0) {
                    System.out.println("mouseReleased");
                }

                @Override
                public void mousePressed(MouseEvent arg0) {
                    System.out.println("mousePressed");
                }

                @Override
                public void mouseExited(MouseEvent arg0) {
                    System.out.println("mouseExited");
                    //System.out.println(arg0.toString());
                }

                @Override
                public void mouseDragged(MouseEvent arg0) {
                    System.out.println("mouseDragged");
                    //System.out.println(arg0.toString());
                }
            });
            frame.setContentPane(panel);
            frame.setVisible(true);
            frame.setSize(width + frame.getInsets().left + frame.getInsets().right,
                    height + frame.getInsets().top + frame.getInsets().bottom);
            int n = 0;
            Mat temp = new Mat();
            while (frame.isShowing() && n < 500) {
                //System.out.println("第"+n+"张");
                capture.read(capImg);
                Imgproc.cvtColor(capImg, temp, Imgproc.COLOR_RGB2GRAY);
                //Imgcodecs.imwrite("G:/opencv/lw/neg/back"+n+".png", temp);
                panel.mImg = panel.mat2BI(detectFace(capImg));
                panel.repaint();
                //n++;
                //break;
            }
            capture.release();
            frame.dispose();
        } catch (Exception e) {
            System.out.println("例外：" + e);
        } finally {
            System.out.println("--done--");
        }

    }

    /**
     * opencv实现人脸识别
     *
     * @param img
     */
    public static Mat detectFace(Mat img) throws Exception {

        System.out.println("Running DetectFace ... ");
        // 从配置文件lbpcascade_frontalface.xml中创建一个人脸识别器，该文件位于opencv安装目录中
        CascadeClassifier faceDetector = new CascadeClassifier("D:\\TDDOWNLOAD\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");


        // 在图片中检测人脸
        MatOfRect faceDetections = new MatOfRect();

        faceDetector.detectMultiScale(img, faceDetections);

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

        Rect[] rects = faceDetections.toArray();
        if (rects != null && rects.length >= 1) {
            for (Rect rect : rects) {
                Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                        new Scalar(0, 0, 255), 2);
            }
        }
        return img;
    }


    /**
     * opencv实现人型识别，hog默认的分类器。所以效果不好。
     *
     * @param img
     */
    public static Mat detectPeople(Mat img) {
        //System.out.println("detectPeople...");
        if (img.empty()) {
            System.out.println("image is exist");
        }
        HOGDescriptor hog = new HOGDescriptor();
        hog.setSVMDetector(HOGDescriptor.getDefaultPeopleDetector());
        System.out.println(HOGDescriptor.getDefaultPeopleDetector());
        //hog.setSVMDetector(HOGDescriptor.getDaimlerPeopleDetector());
        MatOfRect regions = new MatOfRect();
        MatOfDouble foundWeights = new MatOfDouble();
        //System.out.println(foundWeights.toString());
        hog.detectMultiScale(img, regions, foundWeights);
        for (Rect rect : regions.toArray()) {
            Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 0, 255), 2);
        }
        return img;
    }
}