Java OpenCV实现人脸识别过程详解

package test;import org.opencv.core.Core;import org.opencv.core.Mat;import org.opencv.core.MatOfRect;import org.opencv.core.Point;import org.opencv.core.Rect;import org.opencv.core.Scalar;import org.opencv.objdetect.CascadeClassifier;import org.opencv.imgcodecs.Imgcodecs;import org.opencv.imgproc.Imgproc;public class Test {    //引入训练好的人脸识别XML文件	static String PAHT = "E:/GOF/OpenCV/bin/test/haarcascade_frontalface_alt.xml";	static String IMAGE_PATH = "E:/GOF/OpenCV/src/test/a.jpg";	static String productPath = "E:/GOF/OpenCV";	public static void main(String[] args) {		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);		String Path = Test.class.getResource("haarcascade_frontalface_alt.xml").getPath();		System.out.println(Path);		CascadeClassifier faceDetector = new CascadeClassifier(PAHT);		Mat image = Imgcodecs.imread(IMAGE_PATH);		MatOfRect faceDetections = new MatOfRect();		faceDetector.detectMultiScale(image, faceDetections);		System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));		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));		}		String filename = "ouput.png";		System.out.println(String.format("Writing %s", filename));		boolean flag = Imgcodecs.imwrite(filename, image);	}	}