java opencv 调用摄像头_opencv java实现调用摄像头动态识别人脸

前言

实现这个之前使用纯C研究实现过,并用C++重构过一遍,因API改动有点多所以也参考过网上一些其它人的java实现,然而很多几乎用不了,但java的面向对象思想实现的东西却让我找到了C++重构时遇到找不到API的困境,所以此章只会放出java部分代码(能够运行的并实现如标题的功能),如有兴趣的可以参考官方API,官方的java API中几乎99%没有注释,所以有心的可以同时对比参考C语言API,找到相近名字的理论上差不多

package learnjavaopencv;

import java.util.List;

import org.opencv.core.Core;

import org.opencv.core.CvType;

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 HistogramFaceRecognition {

public static Mat norm_0_255(Mat src) {

Mat dst = new Mat();

switch (src.channels()) {

case 1:

Core.normalize(src, dst, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC1);

break;

case 3:

Core.normalize(src, dst, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC3);

break;

default:

src.copyTo(dst);

break;

}

return dst;

}

public static void read_csv(final String filename, List images, List labels, char separator) throws Exception {

if (filename.isEmpty()) {

throw new Exception("没有提供有效的输入文件, 请检查给定的文件名");

}

String line, path, classLabel;

//while()

}

public static void detectHumenFrontFace(Mat rgb, Mat gray) {

CascadeClassifier cascade = new CascadeClassifier("D:/this.Libraries/opencv4.0.dev.64/etc/haarcascades/haarcascade_frontalface_default.xml");

if (cascade.empty()) {

System.out.println("文件读取失败");

return;

}

MatOfRect rect = new MatOfRect();

cascade.detectMultiScale(gray, rect);

for (Rect re : rect.toArray()) {

Imgproc.rectangle(rgb, new Point(re.x, re.y), new Point(re.x

+ re.width, re.y + re.height), new Scalar(0, 255, 0));

}

HighGui.imshow("ImageShow", rgb);

}

public static void main(String[] args) {

System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

VideoCapture videoCapture = new VideoCapture();

if (!videoCapture.open(0)) {

System.out.println("相机打开失败");

return;

}

while (true) {

Mat img = new Mat();

if (!videoCapture.read(img)) {

return;

}

Mat rgb = new Mat();

Imgproc.cvtColor(img, rgb, Imgproc.COLOR_BGR2RGB);

Mat gray = new Mat();

Imgproc.cvtColor(rgb, gray, Imgproc.COLOR_RGB2GRAY);

detectHumenFrontFace(img, gray);

HighGui.waitKey(10);

}

}

}

效果图

项目配置