Java OpenCV怎么實現(xiàn)人臉識別

本篇內(nèi)容主要講解“Java OpenCV怎么實現(xiàn)人臉識別”，感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷，實用性強。下面就讓小編來帶大家學習“Java OpenCV怎么實現(xiàn)人臉識別”吧!

準備 :

下載openCV安裝包 : https://opencv.org/

安裝包安裝之后支持多種語言環(huán)境，此處使用Java，在Eclipse中引入 openCV目錄下的java/opencv-320.jar，同時配置openCV庫路徑。

Eclipse配置openCV

代碼實現(xiàn) :

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 {    //引入訓練好的人臉識別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);}}

實現(xiàn)效果 :

對人臉區(qū)域寫入邊框

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