java集成opencv人脸识别

一、下载，https://opencv.org/releases/

二、安装

三、配置环境变量

1、新建OPENCV_HOME

2、添加path

三、新建springboot项目，jdk选择8

1、pom添加依赖

        
            org
            opencv
            4.5.1
        

2、Edit Configuration，添加 -Djava.library.path=D:\Dev\opencv\opencv\build\java\x64

3、代码，新建FaceDetectTest测试类

package com.example.demo;

import org.junit.jupiter.api.Test;
import org.opencv.core.*;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.springframework.boot.test.context.SpringBootTest;

@SpringBootTest
class FaceDetectTest {

    @Test
    void contextLoads() {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        // Create a face detector from the cascade file in the resources
        //分类器文档地址
        CascadeClassifier faceDetector = new CascadeClassifier("D:\\Dev\\opencv\\opencv\\sources\\data\\lbpcascades\\lbpcascade_frontalface.xml");
        if(faceDetector.empty()){
            System.out.println("读取配置文件失败");
            return;
        }
        //识别的文档地址
        Mat image = Imgcodecs.imread("D:\\face.png");
        // Detect faces in the image.
        // MatOfRect is a special container class for Rect.
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);
        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
        // Draw a bounding box around each face.
        for (Rect rect : faceDetections.toArray()) {
            Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
        }
        //识别后文档地址
        String filename = "D:\\faceDetection.png";
        System.out.println(String.format("Writing %s", filename));
        Imgcodecs.imwrite(filename, image);
    }

}

四、结果对比

1