OpenCV Java 示例 - 检测摄像头中的人脸-蒲公英云

OpenCV Java 示例 - 检测摄像头中的人脸

红太狼 2023-10-02 11:23 46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;
                    }
                }
            }
        }
    }
}