Added vector_Point2f_to_Mat converter
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@ -166,7 +166,6 @@ public class OpenCVTestCase extends TestCase {
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}
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Mat diff = new Mat();
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Core.absdiff(expected, actual, diff);
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OpenCVTestRunner.Log(diff + " \n " + diff.dump());
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if(isEqualityMeasured)
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assertTrue("Max difference between expected and actiual values is bigger than " + eps,
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Core.checkRange(diff, true, new Point(), 0.0, eps));
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@ -1,5 +1,8 @@
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package org.opencv.test.calib3d;
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import android.util.Log;
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import org.opencv.Converters;
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import org.opencv.core.CvType;
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import org.opencv.core.Mat;
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import org.opencv.core.Point;
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@ -8,6 +11,10 @@ import org.opencv.core.Size;
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import org.opencv.calib3d.Calib3d;
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import org.opencv.core.Core;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import java.util.ArrayList;
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import java.util.List;
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public class calib3dTest extends OpenCVTestCase {
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@ -265,7 +272,23 @@ public class calib3dTest extends OpenCVTestCase {
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}
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public void testFindHomographyMatMat() {
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fail("Not yet implemented");
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List<Point> originalPoints = new ArrayList<Point>();
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List<Point> transformedPoints = new ArrayList<Point>();
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for (int i = 0; i < 20; i++){
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double x = Math.random() * 100 - 50;
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double y = Math.random() * 100 - 50;
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originalPoints.add(new Point(x,y));
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transformedPoints.add(new Point(y,x));
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}
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Mat hmg = Calib3d.findHomography(Converters.vector_Point2f_to_Mat(originalPoints), Converters.vector_Point2f_to_Mat(transformedPoints));
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truth = new Mat(3,3, CvType.CV_64F);
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truth.put(0, 0, 0,1,0,1,0,0,0,0,1);
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assertMatEqual(truth, hmg, EPS);
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}
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public void testFindHomographyMatMatInt() {
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@ -1086,8 +1086,39 @@ public class coreTest extends OpenCVTestCase {
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}
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public void testPerspectiveTransform() {
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// nice example
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fail("Not yet implemented");
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Mat src = new Mat(matSize, matSize, CvType.CV_32FC2);
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Mat low = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
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Mat high = new Mat(1, 1, CvType.CV_32F, new Scalar(256));
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Core.randu(src, low, high);
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//FIXME: use Mat.diag
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Mat transformMatrix = new Mat(3, 3, CvType.CV_32F);
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transformMatrix.put(0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1);
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Core.perspectiveTransform(src, dst, transformMatrix);
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assertMatEqual(src, dst, EPS);
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}
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public void testPerspectiveTransform3D() {
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Mat src = new Mat(matSize, matSize, CvType.CV_32FC3);
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Mat low = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
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Mat high = new Mat(1, 1, CvType.CV_32F, new Scalar(256));
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Core.randu(src, low, high);
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//FIXME: use Mat.diag
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Mat transformMatrix = new Mat(4, 4, CvType.CV_32F);
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transformMatrix.put(0, 0,
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1, 0, 0, 0,
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0, 1, 0, 0,
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0, 0, 1, 0,
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0, 0, 0, 1);
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Core.perspectiveTransform(src, dst, transformMatrix);
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assertMatEqual(src, dst, EPS);
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}
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public void testPhaseMatMatMat() {
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@ -28,6 +28,24 @@ public class Converters {
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return res;
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}
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public static Mat vector_Point2f_to_Mat(List<Point> pts) {
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Mat res;
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int count = (pts!=null) ? pts.size() : 0;
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if(count>0){
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res = new Mat(1, count, CvType.CV_32FC2);
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float[] buff = new float[count*2];
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for(int i=0; i<count; i++) {
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Point p = pts.get(i);
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buff[i*2] = (float)p.x;
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buff[i*2+1] = (float)p.y;
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}
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res.put(0, 0, buff);
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} else {
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res = new Mat();
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}
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return res;
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}
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public static void Mat_to_vector_Point(Mat m, List<Point> pts) {
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if(pts == null)
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throw new java.lang.IllegalArgumentException();
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