[java Opencv]之人臉識別 0.2

轉載

正對着攝像頭效果能夠，可是頭歪着就識別不到了

OpenCV-4

package com.pingpang.ImageTest;

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.highgui.HighGui;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.VideoCapture;

public class TestFace {

	static {
		// 在使用OpenCV前必須加載Core.NATIVE_LIBRARY_NAME類,不然會報錯
		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
	}

	public static void main(String[] args) {
		videoFace();
	}

	/**
	 * OpenCV-4.0.0 實時人臉識別
	 * 
	 * @return: void
	 * @date: 2019年5月7日12:16:55
	 */
	public static void videoFace() {
		VideoCapture capture = new VideoCapture(0);
		Mat image = new Mat();
		int index = 0;
		if (capture.isOpened()) {
			while (true) {
				capture.read(image);
				HighGui.imshow("實時人臉識別", getFace(image));
				index = HighGui.waitKey(1);
				if (index == 27) {
					break;
				}
			}
		}
		return;
	}

	/**
	 * OpenCV-4.0.0 人臉識別
	 * 
	 * @date: 2019年5月7日12:16:55
	 * @param image 待處理Mat圖片(視頻中的某一幀)
	 * @return 處理後的圖片
	 * 
	 */
	public static Mat getFace(Mat image) {
		// 1 讀取OpenCV自帶的人臉識別特徵XML文件
		CascadeClassifier facebook = new CascadeClassifier(
				"E:\\opencv\\opencv\\sources\\data\\haarcascades_cuda\\haarcascade_frontalface_alt.xml");
		// 2 特徵匹配類
		MatOfRect face = new MatOfRect();
		// 3 特徵匹配
		facebook.detectMultiScale(image, face);
		Rect[] rects = face.toArray();
		System.out.println("匹配到 " + rects.length + " 我的臉");
		// 4 爲每張識別到的人臉畫一個圈
		for (int i = 0; i < rects.length; i++) {
			Imgproc.rectangle(image, new Point(rects[i].x, rects[i].y),
					new Point(rects[i].x + rects[i].width, rects[i].y + rects[i].height), new Scalar(0, 255, 0));
			Imgproc.putText(image, "Human", new Point(rects[i].x, rects[i].y), Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, 1.0,
					new Scalar(0, 255, 0), 1, Imgproc.LINE_AA, false);
			// Mat dst=image.clone();
			// Imgproc.resize(image, image, new Size(300,300));
		}
		return image;
	}

}