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Desktop automated testing framework based on accessibility API.
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import aki.OpenCV.CallOpenCV;
import aki.OpenCV.LOF.DataNode;
import aki.OpenCV.LOF.LOF;
import org.opencv.core.*;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.SIFT;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

import static org.opencv.core.Core.FILLED;
import static org.opencv.features2d.Features2d.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS;
import static org.opencv.features2d.Features2d.drawMatches;
import static org.opencv.highgui.HighGui.*;
import static org.opencv.imgcodecs.Imgcodecs.*;
import static org.opencv.imgproc.Imgproc.circle;


class testOpenCV3 {
    public static void main(String[] args) throws Exception {
        System.loadLibrary(org.opencv.core.Core.NATIVE_LIBRARY_NAME);
        //获取原图
            Mat imgObject = imread("C:\\Users\\CNHAHUA16\\Desktop\\3.png",IMREAD_GRAYSCALE);
        //获取用于定位的图片
        Mat imgScene = imread("C:\\Users\\CNHAHUA16\\Desktop\\test.png",IMREAD_GRAYSCALE);
        CallOpenCV openCV =new CallOpenCV();

        String aa = "C:\\Users\\CNHAHUA16\\Desktop\\3.png";
        Mat mat = imread(aa);
        String bb = "C:\\Users\\CNHAHUA16\\Documents\\Github\\Aki\\src\\test\\Image\\bay.png";
        System.out.println(openCV.callKnnMatches(mat, bb,0.4f));


//        Runtime.getRuntime().exec("C:\\Program Files (x86)\\ABB\\ABB Provisioning Tool\\1.5.0.15\\ELConnect.exe");

//        if (imgObject.empty() || imgScene.empty()) {
//            System.err.println("Cannot read images!");
//            System.exit(0);
//        }
//
//        //创建Sift检测器
//        SIFT sift = SIFT.create(0, 3, 0.04, 10, 1.6);
//        //存放imgObject的特征值
//        MatOfKeyPoint keypointsObject = new MatOfKeyPoint();
//        //存放imgScene的特征值
//        MatOfKeyPoint keypointsScene = new MatOfKeyPoint();
//
//        //分析计算两图的特征值矩阵
//        Mat descriptorsObject = new Mat(), descriptorsScene = new Mat();
//        sift.detectAndCompute(imgObject, new Mat(), keypointsObject, descriptorsObject);
//        sift.detectAndCompute(imgScene, new Mat(), keypointsScene, descriptorsScene);
//
//        //使用基于FLANN的匹配器,筛选符合条件的坐标
//        DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
//        List knnMatches = new ArrayList<>();
//        matcher.knnMatch(descriptorsObject, descriptorsScene, knnMatches, 2);
//        //设置过滤值
//        float ratioThresh = 0.4f;
//
//        List listOfGoodMatches = new ArrayList<>();
//
//        for (MatOfDMatch knnMatch : knnMatches) {
//            //distance越小匹配度越高
//            if (knnMatch.rows() > 1) {
//                DMatch[] matches = knnMatch.toArray();
//                if (matches[0].distance < ratioThresh * matches[1].distance) {
//                    listOfGoodMatches.add(matches[0]);
//                }
//            }
//        }
//        if(listOfGoodMatches.size()==0){
//            throw new RuntimeException("No match can be found");
//        }
//
//        MatOfDMatch goodMatches = new MatOfDMatch();
//        Mat res = new Mat();
//        goodMatches.fromList(listOfGoodMatches);
//
//        drawMatches(imgObject,keypointsObject,imgScene,keypointsScene,goodMatches,res,Scalar.all(-1),
//                Scalar.all(-1), new MatOfByte(),DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS);
//        namedWindow("picture of matching");
//        imshow("picture of matching", res);
//        waitKey(0);
//        //将最佳匹配转回 MatOfDMatch
//
//        //将原图上的特征值转为数组
//        List listOfKeypointsObject = keypointsObject.toList();
//
//        ArrayList dpoints = new ArrayList<>();
//        float x=0,y=0;
//        for (int i = 0;i nodeList = lof.getOutlierNode(dpoints);
//        int j = 0;
//        System.out.println(Math.round(nodeList.size()*0.8));
//        for (int i =0;i=Math.round(nodeList.size()*0.8)){
//                j++;
//                x+=nodeList.get(i).getDimensioin()[0];
//                y+=nodeList.get(i).getDimensioin()[1];
//            }
//            System.out.println(nodeList.get(i).getNodeName() + "  " + nodeList.get(i).getLof() + " "+ Arrays.toString(nodeList.get(i).getDimensioin()) + " "+i);
//        }
//        //求坐标平均值
//
        double x=openCV.callKnnMatches(mat, bb,0.4f).x;
        double y =openCV.callKnnMatches(mat, bb,0.4f).y;
        circle(imgObject, new Point(x,y),10, new Scalar(0,0,255),3,FILLED);

        imshow("location",imgObject);
        imwrite("C:\\Users\\CNHAHUA16\\Desktop\\3.jpg",imgObject);
        waitKey(0);//      System.out.println(res.rows());

    }
}