How to realize face recognition by Java OpenCV
This article mainly explains "how to achieve face recognition with Java OpenCV". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "how to achieve face recognition with Java OpenCV".
Prepare:
Download the openCV installation package: https://opencv.org/
The installation package supports multiple locales after installation. Java is used here, java/opencv-320.jar under the openCV directory is introduced into Eclipse, and the openCV library path is configured.
Eclipse configuration openCV
Code implementation:
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 {/ / introduce the trained face recognition XML file 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) }}
Achieve results:
Write a border to the face area
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