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https://opencv.org/releases/
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安装到本地

依赖

  1. <!-- https://mvnrepository.com/artifact/org.bytedeco/opencv -->
  2. <dependency>
  3.     <groupId>org.bytedeco</groupId>
  4.     <artifactId>opencv</artifactId>
  5.     <version>4.5.3-1.5.6</version>
  6. </dependency>

开发

实体

  2. public class CvtMatEntity {
  3.     //原图Mat
  4.     public Mat img;
  5.     //灰度图Mat
  6.     public Mat gray;
  7.     public static CvtMatEntity cvtR2G(Mat img){
  8.         CvtMatEntity cvtMatEntity = new CvtMatEntity();
  9.         Mat rgb = new Mat();
  10.         //实现图片灰度转换
  11.         Imgproc.cvtColor(img, rgb, Imgproc.COLOR_BGR2RGB);
  12.         Mat gray = new Mat();
  13.         Imgproc.cvtColor(rgb, gray, Imgproc.COLOR_RGB2GRAY);
  14.         //赋值
  15.         cvtMatEntity.img = img;
  16.         cvtMatEntity.gray = gray;
  17.         //返回
  18.         return cvtMatEntity;
  19.     }
  20. }

核心类

  2. public class InitInstance {
  4.     private static Logger logger = LoggerFactory.getLogger(InitInstance.class);
  5.         //脸部识别实例
  6.     private static CascadeClassifier faceDetector;
  10.     //此类加载人脸识别模块
  11.        public static void init(String dllAbsPath, String facexmlAbsPath, String eyexmlAbsPath) {
  12.         logger.info("开始读取脸部识别实例");
  13.            //加载dll文件
  14.         System.load(dllAbsPath);
  15.         faceDetector = new CascadeClassifier(facexmlAbsPath);
  16.         if (faceDetector.empty()) {
  17.             logger.error("人脸识别模块读取失败");
  18.         } else logger.info("人脸识别模块读取成功");
  19.        }
  23.     //此类实现打开视频，识别人脸
  24.        public static void videoDetectorModel() {
  25.            //打开摄像头
  26.         VideoCapture videoCapture = new VideoCapture(0);
  27.            //判断摄像头是否打开
  28.         if (!videoCapture.open(0)) {
  29.             logger.error("相机打开失败");
  30.             return;
  31.         }
  33.         while (true) {
  34.             //创建图片Mat
  35.             Mat img = new Mat();
  36.             //读取摄像头下的图像
  37.             if (!videoCapture.read(img)) return;
  38.             //为保证教程详细度，此处不调用实体方法，大家可自行选择
  39.             //图片灰度转化
  40.             Mat rgb = new Mat();
  41.             Imgproc.cvtColor(img, rgb, Imgproc.COLOR_BGR2RGB);
  42.             Mat gray = new Mat();
  43.             Imgproc.cvtColor(rgb, gray, Imgproc.COLOR_RGB2GRAY);
  44.             //创建人脸识别出的矩形变量
  45.             MatOfRect faveRect = new MatOfRect();
  46.             //检测人脸
  47.             faceDetector.detectMultiScale(gray, faveRect);
  48.             //图形面勾选人脸
  49.               for (Rect re : faveRect.toArray()) {
  50.             Imgproc.rectangle(img, new Point(re.x, re.y), new Point(re.x + re.width, re.y + re.height), new Scalar(0, 0, 255), 2);
  51.         }
  52.             //显示在屏幕
  53.             HighGui.imshow("人脸识别", img);
  54.             //按\'q\'退出
  55.             if (HighGui.waitKey(1) == 81) break;
  56.         }
  57.            //释放资源
  58.         videoCapture.release();
  59.         HighGui.destroyAllWindows();
  60.     }
  63.     //以下内容为对比人脸模块。与打开视频，识别人脸完全分离
  64.         /**
  65.      * 获取灰度人脸
  66.      */
  67.     public static Mat conv_Mat(String img) {
  68.         //读取图片Mat
  69.         Mat imgInfo = Imgcodecs.imread(img);
  70.         //此处调用了实体方法，实现灰度转化
  71.         CvtMatEntity cvtMatEntity = CvtMatEntity.cvtR2G(imgInfo);
  72.         //创建Mat矩形
  73.         MatOfRect faceMat = new MatOfRect();
  74.         //识别人人脸
  75.         faceDetector.detectMultiScale(cvtMatEntity.gray, faceMat);
  76.         for (Rect rect : faceMat.toArray()) {
  77.             //选出灰度人脸
  78.             Mat face = new Mat(cvtMatEntity.gray, rect);
  79.             return face;
  80.         }
  81.         return null;
  82.     }
  84.     /**
  85.      * 图片对比人脸
  86.      */
  87.     public static double compare_image(String img_1, String img_2) {
  88.         //获得灰度人脸
  89.         Mat mat_1 = conv_Mat(img_1);
  90.         Mat mat_2 = conv_Mat(img_2);
  91.         Mat hist_1 = new Mat();
  92.         Mat hist_2 = new Mat();
  93.         //参数定义
  94.         MatOfFloat ranges = new MatOfFloat(0f, 256f);
  95.         MatOfInt histSize = new MatOfInt(10000000);
  96.         //实现图片计算
  97.         Imgproc.calcHist(Arrays.asList(mat_1), new MatOfInt(0), new Mat(), hist_1, histSize, ranges);
  98.         Imgproc.calcHist(Arrays.asList(mat_2), new MatOfInt(0), new Mat(), hist_2, histSize, ranges);
  99.         // 相关系数，获得相似度
  100.         double res = Imgproc.compareHist(hist_1, hist_2, Imgproc.CV_COMP_CORREL);
  101.         //返回相似度
  102.         return res;
  103.     }
  104. }

调用

  2. public class openapiMainApplication {
  3.     public static void main(String[] args) throws UnsupportedEncodingException {
  4.         //此为opencv的opencv_java453.dll
  5.         //位置在opencv安装目录下的build\\java\\x64\\位置
  6.         //可以将该dll文件放在系统 Path目录下
  7.         String dllAbsPath = "D:\\opencv\\build\\java\\x64\\opencv_java453.dll";
  8.          //位置在opencv安装目录下的sources\\data\\haarcascades\\位置
  9.         String facexmlAbsPath = "D:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
  10.         //必须加载
  11.         InitInstance.init(dllAbsPath, facexmlAbsPath,eyexmlAbsPath);
  12.     }
  13. }

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