OpenCV Java 示例 - 检测摄像头中的人脸

红太狼 2023-10-02 11:23 25阅读 0赞

import org.opencv.core.*;
    import org.opencv.highgui.HighGui;
    import org.opencv.objdetect.CascadeClassifier;
    import org.opencv.videoio.VideoCapture;
    import static org.opencv.core.CvType.CV_8UC1;
    import static org.opencv.core.CvType.CV_8UC3;
    import static org.opencv.imgproc.Imgproc.COLOR_BGR2GRAY;
    import static org.opencv.imgproc.Imgproc.cvtColor;
    import static org.opencv.imgproc.Imgproc.rectangle;
    import static org.opencv.videoio.Videoio.CAP_PROP_FPS;
    import static org.opencv.videoio.Videoio.CAP_PROP_FRAME_HEIGHT;
    import static org.opencv.videoio.Videoio.CAP_PROP_FRAME_WIDTH;
    
    public class FaceDetect {
    
    	static {
    		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    	}
    
    	public static void main(String[] args) {
    
    		String xmlFileName = "F:\\opencv\\build\\etc\\lbpcascades\\lbpcascade_frontalface_improved.xml";
    
    		CascadeClassifier cascadeClassifier = new CascadeClassifier(xmlFileName);
    		if (cascadeClassifier.empty()) {
    			System.out.println("加载xml模型文件失败！");
    		} else {
    
    			VideoCapture capture = new VideoCapture(0);
    			if (!capture.isOpened()) {
    				System.out.println("打开相机失败！");
    			} else {
    
    				// 设置相机参数
    				capture.set(CAP_PROP_FRAME_WIDTH, 640);
    				capture.set(CAP_PROP_FRAME_HEIGHT, 480);
    				capture.set(CAP_PROP_FPS, 30);
    
    				Mat frame = new Mat(new Size(640, 480), CV_8UC3);
    				Mat frameGray = new Mat(new Size(640, 480), CV_8UC1);
    				MatOfRect objectsRect = new MatOfRect();
    
    				while (true) {
    
    					// 读取图像
    					if (!capture.read(frame)) {
    						System.out.println("读取相机数据失败！");
    						break;
    					}
    
    					// 转为灰度
    					cvtColor(frame, frameGray, COLOR_BGR2GRAY);
    
    					// 人脸检测
    					cascadeClassifier.detectMultiScale(frameGray, objectsRect);
    
    					if (!objectsRect.empty()) {
    						// 绘制矩形
    						Rect[] rects = objectsRect.toArray();
    						for (Rect r : rects) {
    							rectangle(frame, r.tl(), r.br(), new Scalar(0, 255, 255), 2);
    						}
    
    						System.out.println("检测到人脸个数=" + rects.length);
    
    					}
    
    					// 显示
    					HighGui.imshow("facedetect", frame);
    					if (HighGui.waitKey(33) == 'q') {
    						break;
    					}
    
    				}
    
    			}
    
    		}
    
    	}
    
    }