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   源码介绍

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package com.ls.utils;

import lombok.extern.slf4j.Slf4j;
import org.bytedeco.javacpp.opencv_core;
import org.bytedeco.javacv.*;
import org.opencv.core.*;
import org.opencv.highgui.Highgui;
import org.opencv.highgui.VideoCapture;
import org.opencv.objdetect.CascadeClassifier;

import javax.swing.*;

@Slf4j
public class CameraOut {
    static {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    }

    private static int flag = 0;

    public static void run() {
        VideoCapture camera = new VideoCapture();//创建Opencv中的视频捕捉对象
        camera.open(0);//open函数中的0代表当前计算机中索引为0的摄像头，如果你的计算机有多个摄像头，那么一次1,2,3……
        if (!camera.isOpened()) {//isOpened函数用来判断摄像头调用是否成功
            log.info("camera 调用失败");
        } else {
            Mat frame = new Mat();//创建一个输出帧
            while (flag == 0) {
                camera.read(frame);//read方法读取摄像头的当前帧
                CascadeClassifier faceDetector = new CascadeClassifier("D:\\test\\java_project\\test03\\haarcascade_frontalface_alt.xml");
                MatOfRect faceDetections = new MatOfRect();
                faceDetector.detectMultiScale(frame, faceDetections);
                Rect[] rectArray = faceDetections.toArray();
                if (rectArray.length > 0) {
                    for (Rect rect : rectArray) {
                        Rect rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
                        if (rect.width   rect.height > rectCrop.height   rectCrop.width) {
                            rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
                        }
                        log.info(String.format("检测到 %s 个人脸！ ", rectArray.length));
                        Mat imageRoi = new Mat(frame, rectCrop);
                        String name = System.currentTimeMillis()   ".png";
                        Highgui.imwrite(name, imageRoi);
                        Core.rectangle(frame, new Point(rect.x, rect.y), new Point(rect.x   rect.width, rect.y   rect.height), new Scalar(0, 0, 255), 2);
                    }
                }

                try {
                    Thread.sleep(1000);//线程暂停500ms
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
        camera.release();
    }

}