JavaCV实现图片中人脸检测的示例代码

        <!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platfORM -->
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>javacv-platform</artifactId>
            <version>1.5.5</version>
        </dependency>

 
import org.bytedeco.javacv.Frame;
import org.bytedeco.javacv.Java2DFrameConverter;
import org.bytedeco.javacv.OpenCVFrameConverter;
import org.bytedeco.opencv.opencv_core.*;
import org.bytedeco.opencv.opencv_objdetect.CascadeClassifier;
 
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
 
import static org.bytedeco.opencv.global.opencv_imgproc.*;
 

public class FaceDemo {
 
    public static void main(String[] args) throws IOException {
        faceDetection("C:\\Users\\Lenovo\\Desktop\\faceImg\\msk.png");
    }
 
    
    public static void faceDetection(String filePath) throws IOException {
        // 读取opencv人脸检测器
        CascadeClassifier cascade = new CascadeClassifier("E:\\work_space\\reptile\\src\\main\\resources\\lbpcascade_frontalface.xml");
        File file=new File(filePath);
        BufferedImage image = ImageIO.read(file);
        Java2DFrameConverter imageConverter = new Java2DFrameConverter();
        Frame frame = imageConverter.convert(image);
        //类型转换
        OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();
        Mat original = converter.convertToMat(frame);
        //存放灰度图
        Mat grayImg = new Mat();
        //模式设置成ImageMode.Gray下不需要再做灰度 摄像头获取的是彩色图像，所以先灰度化下
        cvtColor(original, grayImg, COLOR_BGRA2GRAY);
        // 均衡化直方图
        equalizeHist(grayImg, grayImg);
        // 检测到的人脸
        RectVector faces = new RectVector();
        //多人脸检测
        cascade.detectMultiScale(grayImg, faces);
        // 遍历人脸
        for (int i = 0; i < faces.size(); i++) {
            Rect face_i = faces.get(i);
            //绘制人脸矩形区域，Scalar色彩顺序：BGR(蓝绿红)
            rectangle(original, face_i, new Scalar(0, 255, 0, 1));
            int pos_x = Math.max(face_i.tl().x() - 10, 0);
            int pos_y = Math.max(face_i.tl().y() - 10, 0);
            // 在人脸矩形上方绘制提示文字（中文会乱码）
            putText(original, "people face", new Point(pos_x, pos_y), FONT_HERSHEY_COMPLEX, 1.0, new Scalar(0, 0, 255, 2.0));
        }
        frame = converter.convert(original);
        image = imageConverter.convert(frame);
        String fileName=file.getName();
        String extension=fileName.substring(fileName.lastIndexOf(".")+1);
        String newFileName=fileName.substring(0,fileName.lastIndexOf("."))+"_result."+extension;
        ImageIO.write(image, extension, new File(file.getParent()+File.separator+newFileName));
    }
 
}

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