java+sface进行人脸特征提取

 public static void main(String[] args) {
        // 1.初始化opencv
        initOpenCV();

        // 3.读取图片
        Mat imageA = Imgcodecs.imread("C:/Users/y1793/Desktop/1f48e0d3dbb39e3d7e063b321df6c3c.jpg");
        Mat imageB = Imgcodecs.imread("C:/Users/y1793/Desktop/1f48e0d3dbb39e3d7e063b321df6c3c.jpg");

        // 人脸识别
        FaceDetectorYN faceDetectorYN = FaceDetectorYN.create("C:/Users/y1793/Downloads/face_detection_yunet_2022mar.onnx", "", new Size(), score_thresh, nms_thresh, top_k);
        Mat faceA = new Mat();
        faceDetectorYN.setInputSize(new Size(imageA.width(), imageA.height()));
        faceDetectorYN.detect(imageA, faceA);
        Mat faceB = new Mat();
        faceDetectorYN.setInputSize(new Size(imageB.width(), imageB.height()));
        faceDetectorYN.detect(imageB, faceB);

        // 人脸预处理
        FaceRecognizerSF faceRecognizerSF = FaceRecognizerSF.create("C:/Users/y1793/Downloads/face_recognition_sface_2021dec.onnx", "");
        Mat alignFaceA = new Mat();
        faceRecognizerSF.alignCrop(imageA, faceA, alignFaceA);
        Mat alignFaceB = new Mat();
        faceRecognizerSF.alignCrop(imageB, faceB, alignFaceB);

        // 人脸特征提取
        Mat featureA = new Mat();
        faceRecognizerSF.feature(alignFaceA, featureA);
        Mat featureB = new Mat();
        faceRecognizerSF.feature(alignFaceB, featureB);

        // 人脸识别
        double match1 = faceRecognizerSF.match(featureA, featureB, FaceRecognizerSF.FR_COSINE);
        double match2 = faceRecognizerSF.match(featureA, featureB, FaceRecognizerSF.FR_NORM_L2);

        System.out.println(match1);
        System.out.println(match2);
    }