Commit f7ff65f5 authored by Kirill Kornyakov's avatar Kirill Kornyakov

added java tests for imgproc by Hussein Abdinoor

parent 55aab59e
package org.opencv.test.features2d;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.features2d.SURF;
import org.opencv.features2d.KeyPoint;
import org.opencv.features2d.SURF;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
......
......@@ -13,30 +13,35 @@ import org.opencv.core.Size;
import org.opencv.core.Core;
import org.opencv.imgproc.Imgproc;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
public class imgprocTest extends OpenCVTestCase {
private Mat gray_64f_2;
private Mat dst64F;
private Mat mask;
private int imgprocSz;
Point anchorPoint;
Size size;
@Override
@Override
protected void setUp() throws Exception {
super.setUp();
imgprocSz = 2;
gray_64f_2 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
dst64F = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
dst64F = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(0));
mask = new Mat (imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
anchorPoint = new Point(2, 2);
size = new Size(3, 3);
}
public void test_1() {
super.test_1("imgproc");
}
public void testAccumulateMatMat() {
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(2));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
Imgproc.accumulate(gray_64f_2, dst64F);
assertMatEqual(truth, dst64F);
......@@ -44,44 +49,40 @@ public class imgprocTest extends OpenCVTestCase {
Imgproc.accumulate(gray1_32f, dst);
assertMatEqual(gray1_32f, dst);
}
public void testAccumulateMatMatMat() {
Mat mask = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(2));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
Imgproc.accumulate(gray_64f_2, dst64F, mask); //TODO: use better mask
assertMatEqual(truth, dst64F);
}
public void testAccumulateProductMatMatMat() {
Mat src1 = new Mat(2, 2, CvType.CV_64F);
src1.put(0, 0, 1, 1);
src1.put(1, 0, 1, 1);
Mat src2 = new Mat(2, 2, CvType.CV_64F);
Mat src1 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(1));
Mat src2 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
src2.put(0, 0, 2, 1);
src2.put(1, 0, 1, 2);
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(2));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
truth.put(0, 0, 2, 1);
truth.put(1, 0, 1, 2);
Mat dstImage = new Mat(2, 2, CvType.CV_64F, new Scalar(0));
Mat dstImage = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(0));
Imgproc.accumulateProduct(src1, src2, dstImage);
assertMatEqual(truth, dstImage);
}
public void testAccumulateProductMatMatMatMat() {
Mat src1 = new Mat(2, 2, CvType.CV_64F);
Mat src1 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
src1.put(0, 0, 1, 1);
src1.put(1, 0, 0, 1);
Mat src2 = new Mat(2, 2, CvType.CV_64F);
Mat src2 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
src2.put(0, 0, 2, 1);
src2.put(1, 0, 1, 2);
Mat mask = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(2));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(0));
truth.put(0, 0, 2, 1);
truth.put(1, 0, 0, 2);
......@@ -90,29 +91,28 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testAccumulateSquareMatMat() {
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(4));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Imgproc.accumulateSquare(gray_64f_2, dst64F);
assertMatEqual(truth, dst64F);
}
public void testAccumulateSquareMatMatMat() {
Mat mask = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(4));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Imgproc.accumulateSquare(gray_64f_2, dst64F, mask);
assertMatEqual(truth, dst64F);
}
public void testAccumulateWeightedMatMatDouble() {
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(4));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Imgproc.accumulateWeighted(gray_64f_2, dst64F, 2.0);
assertMatEqual(truth, dst64F);
}
public void testAccumulateWeightedMatMatDoubleMat() {
Mat mask = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
truth = new Mat(2, 2, CvType.CV_64F, new Scalar(8));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(8));
Imgproc.accumulateWeighted(gray_64f_2, dst64F, 4.0, mask);
assertMatEqual(truth, dst64F);
}
......@@ -153,34 +153,25 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testBlurMatMatSize() {
Size sz = new Size(3, 3);
Imgproc.blur(gray0, dst, sz);
Imgproc.blur(gray0, dst, size);
assertMatEqual(gray0, dst);
Imgproc.blur(gray255, dst, sz);
Imgproc.blur(gray255, dst, size);
assertMatEqual(gray255, dst);
}
public void testBlurMatMatSizePoint() {
Size sz = new Size(3, 3);
Point anchor = new Point(2, 2);
Imgproc.blur(gray0, dst, sz, anchor);
Imgproc.blur(gray0, dst, size, anchorPoint);
assertMatEqual(gray0, dst);
}
public void testBlurMatMatSizePointInt() {
Size sz = new Size(3, 3);
Point anchor = new Point(2, 2);
Imgproc.blur(gray0, dst, sz, anchor, Imgproc.BORDER_REFLECT);
Imgproc.blur(gray0, dst, size, anchorPoint, Imgproc.BORDER_REFLECT);
assertMatEqual(gray0, dst);
}
public void testBorderInterpolate() {
float val1 = Imgproc.borderInterpolate(100, 150, Imgproc.BORDER_REFLECT_101);
Imgproc.borderInterpolate(-5, 10, Imgproc.BORDER_WRAP);
assertEquals(100.0f, val1);
float val2 = Imgproc.borderInterpolate(-5, 10, Imgproc.BORDER_WRAP);
......@@ -200,33 +191,23 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testBoxFilterMatMatIntSize() {
Size sz = new Size(3, 3);
Imgproc.boxFilter(gray0, dst, 8, sz);
Size size = new Size(3, 3);
Imgproc.boxFilter(gray0, dst, 8, size);
assertMatEqual(gray0, dst);
}
public void testBoxFilterMatMatIntSizePoint() {
Size sz = new Size(3, 3);
Point anchor = new Point(2, 2);
Imgproc.boxFilter(gray0, dst, 8, sz, anchor);
Imgproc.boxFilter(gray0, dst, 8, size, anchorPoint);
assertMatEqual(gray0, dst);
}
public void testBoxFilterMatMatIntSizePointBoolean() {
Size sz = new Size(3, 3);
Point anchor = new Point(2, 2);
Imgproc.boxFilter(gray255, dst, 8, sz, anchor, false);
OpenCVTestRunner.Log(dst.dump());
Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false);
assertMatEqual(gray255, dst);
}
public void testBoxFilterMatMatIntSizePointBooleanInt() {
Size sz = new Size(3, 3);
Point anchor = new Point(2, 2);
Imgproc.boxFilter(gray255, dst, 8, sz, anchor, false, Imgproc.BORDER_REFLECT);
Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false, Imgproc.BORDER_REFLECT);
assertMatEqual(gray255, dst);
}
......@@ -326,7 +307,7 @@ public class imgprocTest extends OpenCVTestCase {
Imgproc.Canny(gray255, dst, 5.0, 10.0);
assertMatEqual(gray0, dst);
}
public void testCannyMatMatDoubleDoubleInt() {
Imgproc.Canny(gray255, dst, 5.0, 10.0, 5);
assertMatEqual(gray0, dst);
......@@ -389,6 +370,7 @@ public class imgprocTest extends OpenCVTestCase {
Imgproc.convexHull(points, dst);
assertMatEqual(expHull, dst);
}
public void testConvexHullMatMatBoolean() {
Mat points = new Mat(1, 6, CvType.CV_32FC2);
......@@ -413,10 +395,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCopyMakeBorderMatMatIntIntIntIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 1); //TODO: use setTo
src.put(1, 0, 1, 1);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1));
truth = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
int border = 2;
......@@ -425,9 +404,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCopyMakeBorderMatMatIntIntIntIntIntScalar() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 1); //TODO: use setTo
src.put(1, 0, 1, 1);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
truth = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
Scalar value = new Scalar(0);
......@@ -438,7 +415,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCornerEigenValsAndVecsMatMatIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32FC1);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
src.put(0, 0, 1, 2);
src.put(1, 0, 4, 2);
......@@ -446,9 +423,8 @@ public class imgprocTest extends OpenCVTestCase {
int ksize = 5;
//TODO: eigen vals and vectors returned = 0 for most src matrices
truth = new Mat(2, 2, CvType.CV_32FC(6), new Scalar(0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC(6), new Scalar(0));
Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize);
OpenCVTestRunner.Log(dst.dump());
assertMatEqual(truth, dst);
}
......@@ -461,7 +437,6 @@ public class imgprocTest extends OpenCVTestCase {
truth = new Mat(4, 4, CvType.CV_32FC(6), new Scalar(0));
Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize, Imgproc.BORDER_REFLECT);
OpenCVTestRunner.Log(dst.dump());
assertMatEqual(truth, dst);
}
......@@ -484,13 +459,13 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCornerMinEigenValMatMatInt() {
Mat src = new Mat(2, 2, CvType.CV_32FC1);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
src.put(0, 0, 1, 2);
src.put(1, 0, 2, 1);
int blockSize = 5;
truth = new Mat(2, 2, CvType.CV_32FC1, new Scalar(0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(0));
Imgproc.cornerMinEigenVal(src, dst, blockSize);
assertMatEqual(truth, dst);
......@@ -500,10 +475,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCornerMinEigenValMatMatIntInt() {
Mat src = new Mat(3, 3, CvType.CV_32FC1);
src.put(0, 0, 1, 0, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1, 0);
src.put(2, 0, 0, 0, 1);
Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
truth = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
int blockSize = 3;
......@@ -518,10 +490,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testCornerMinEigenValMatMatIntIntInt() {
Mat src = new Mat(3, 3, CvType.CV_32FC1);
src.put(0, 0, 1, 0, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1, 0);
src.put(2, 0, 0, 0, 1);
Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
truth = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
int blockSize = 3;
......@@ -560,34 +529,30 @@ public class imgprocTest extends OpenCVTestCase {
public void testDilateMatMatMatPoint() {
Mat kernel = new Mat();
Point anchor = new Point(2, 2);
Imgproc.dilate(gray255, dst, kernel, anchor);
Imgproc.dilate(gray255, dst, kernel, anchorPoint);
assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointInt() {
Mat kernel = new Mat();
Point anchor = new Point(2, 2);
Imgproc.dilate(gray255, dst, kernel, anchor, 10);
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10);
assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointIntInt() {
Mat kernel = new Mat();
Point anchor = new Point(2, 2);
Imgproc.dilate(gray255, dst, kernel, anchor, 10, Imgproc.BORDER_REFLECT);
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT);
assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointIntIntScalar() {
Mat kernel = new Mat();
Point anchor = new Point(2, 2);
Scalar value = new Scalar(0);
Imgproc.dilate(gray255, dst, kernel, anchor, 10, Imgproc.BORDER_REFLECT, value);
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT, value);
assertMatEqual(gray255, dst);
}
......@@ -646,10 +611,9 @@ public class imgprocTest extends OpenCVTestCase {
src.put(2, 0, 3, 4, 6);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(0.0));
Point point = new Point(2, 2);
Mat kernel = new Mat();
Imgproc.erode(src, dst, kernel, point);
Imgproc.erode(src, dst, kernel, anchorPoint);
assertMatEqual(truth, dst);
}
......@@ -661,9 +625,8 @@ public class imgprocTest extends OpenCVTestCase {
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
Mat kernel = new Mat();
Point point = new Point(2, 2);
Imgproc.erode(src, dst, kernel, point, 10);
Imgproc.erode(src, dst, kernel, anchorPoint, 10);
assertMatEqual(truth, dst);
}
......@@ -675,9 +638,8 @@ public class imgprocTest extends OpenCVTestCase {
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
Mat kernel = new Mat();
Point point = new Point(2, 2);
Imgproc.erode(src, dst, kernel, point, 10, Imgproc.BORDER_REFLECT);
Imgproc.erode(src, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT);
assertMatEqual(truth, dst);
}
......@@ -689,41 +651,39 @@ public class imgprocTest extends OpenCVTestCase {
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
Mat kernel = new Mat();
Point point = new Point(2, 2);
Scalar sc = new Scalar(3, 3);
Imgproc.erode(src, dst, kernel, point, 10, Imgproc.BORDER_REFLECT, sc);
Imgproc.erode(src, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT, sc);
assertMatEqual(truth, dst);
}
public void testFilter2DMatMatIntMat() {
Mat kernel = new Mat(2, 2, CvType.CV_32F);
Mat src = Mat.eye(4, 4, CvType.CV_32F);
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
truth = Mat.eye(4, 4, CvType.CV_32F);
truth.put(0, 0, 2, 2, 1, 0);
truth.put(1, 0, 2, 2, 1, 0);
truth.put(2, 0, 1, 1, 2, 1);
truth.put(3, 0, 0, 0, 1, 2);
Imgproc.filter2D(gray128, dst, -1, kernel);
assertMatEqual(gray0, dst);
Imgproc.filter2D(src, dst, -1, kernel);
assertMatEqual(truth, dst);
}
public void testFilter2DMatMatIntMatPoint() {
Mat kernel = new Mat(2, 2, CvType.CV_32F);
Point anchor = new Point(0, 0);
Imgproc.filter2D(gray128, dst, -1, kernel, anchor);
assertMatEqual(gray0, dst);
}
public void testFilter2DMatMatIntMatPointDouble() {
Mat kernel = new Mat(2, 2, CvType.CV_32F);
Point anchor = new Point(0, 0);
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
Point point = new Point(0, 0);
Imgproc.filter2D(gray0, dst, -1, kernel, anchor, 2.0);
assertMatEqual(gray2, dst);
Imgproc.filter2D(gray128, dst, -1, kernel, point);
assertMatEqual(gray255, dst);
}
public void testFilter2DMatMatIntMatPointDoubleInt() {
Mat kernel = new Mat(2, 2, CvType.CV_32F);
Point anchor = new Point(0, 0);
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0.0));
Point point = new Point(0, 0);
Imgproc.filter2D(gray128, dst, -1, kernel, anchor, 2.0, Imgproc.BORDER_CONSTANT);
Imgproc.filter2D(gray128, dst, -1, kernel, point, 2.0, Imgproc.BORDER_CONSTANT);
assertMatEqual(gray2, dst);
}
......@@ -736,8 +696,8 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testFitEllipse() {
Mat points = new Mat(1, 6, CvType.CV_32FC2); //TODO: use the list of Point
points.put(0, 0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0);
Mat points = new Mat(1, 5, CvType.CV_32FC2); //TODO: use the list of Points
points.put(0, 0, 0.0, 0.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0);
RotatedRect rrect = new RotatedRect();
rrect = Imgproc.fitEllipse(points);
......@@ -779,26 +739,21 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testGaussianBlurMatMatSizeDouble() {
Size sz = new Size(3, 3);
Imgproc.GaussianBlur(gray0, dst, sz, 1.0);
Imgproc.GaussianBlur(gray0, dst, size, 1.0);
assertMatEqual(gray0, dst);
Imgproc.GaussianBlur(gray2, dst, sz, 1.0);
Imgproc.GaussianBlur(gray2, dst, size, 1.0);
assertMatEqual(gray2, dst);
}
public void testGaussianBlurMatMatSizeDoubleDouble() {
Size sz = new Size(3, 3);
Imgproc.GaussianBlur(gray2, dst, sz, 0.0, 0.0);
Imgproc.GaussianBlur(gray2, dst, size, 0.0, 0.0);
assertMatEqual(gray2, dst);
}
public void testGaussianBlurMatMatSizeDoubleDoubleInt() {
Size sz = new Size(3, 3);
Imgproc.GaussianBlur(gray2, dst, sz, 1.0, 3.0, Imgproc.BORDER_REFLECT);
Imgproc.GaussianBlur(gray2, dst, size, 1.0, 3.0, Imgproc.BORDER_REFLECT);
assertMatEqual(gray2, dst);
}
......@@ -816,7 +771,6 @@ public class imgprocTest extends OpenCVTestCase {
public void testGetDefaultNewCameraMatrixMatSize() {
truth = new Mat();
Size size = new Size(3, 3);
truth = Imgproc.getDefaultNewCameraMatrix(gray0, size);
assertTrue(0 == Core.countNonZero(truth));
......@@ -825,16 +779,15 @@ public class imgprocTest extends OpenCVTestCase {
public void testGetDefaultNewCameraMatrixMatSizeBoolean() {
truth = new Mat();
Size size = new Size(3, 3);
truth = Imgproc.getDefaultNewCameraMatrix(gray0, size, true);
assertTrue(0 != Core.countNonZero(truth));
assertFalse(truth.empty());
}
public void testGetDerivKernelsMatMatIntIntInt() {
Mat kx = new Mat(2, 2, CvType.CV_32F);
Mat ky = new Mat(2, 2, CvType.CV_32F);
Mat kx = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat ky = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat expKx = new Mat(3, 1, CvType.CV_32F);
Mat expKy = new Mat(3, 1, CvType.CV_32F);
......@@ -853,8 +806,8 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testGetDerivKernelsMatMatIntIntIntBoolean() {
Mat kx = new Mat(2, 2, CvType.CV_32F);
Mat ky = new Mat(2, 2, CvType.CV_32F);
Mat kx = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat ky = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat expKx = new Mat(3, 1, CvType.CV_32F);
Mat expKy = new Mat(3, 1, CvType.CV_32F);
......@@ -873,8 +826,8 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testGetDerivKernelsMatMatIntIntIntBooleanInt() {
Mat kx = new Mat(2, 2, CvType.CV_32F);
Mat ky = new Mat(2, 2, CvType.CV_32F);
Mat kx = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat ky = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat expKx = new Mat(3, 1, CvType.CV_32F);
Mat expKy = new Mat(3, 1, CvType.CV_32F);
......@@ -909,10 +862,10 @@ public class imgprocTest extends OpenCVTestCase {
public void testGetRectSubPixMatSizePointMat() {
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(255));
Size patchSize = new Size(3, 3);
Size size = new Size(3, 3);
Point center = new Point(gray255.cols() / 2, gray255.rows() / 2);
Imgproc.getRectSubPix(gray255, patchSize, center, dst);
Imgproc.getRectSubPix(gray255, size, center, dst);
assertMatEqual(truth, dst);
}
......@@ -937,23 +890,19 @@ public class imgprocTest extends OpenCVTestCase {
public void testGetStructuringElementIntSize() {
truth = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1.0));
Size ksize = new Size(3, 3);
dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, ksize);
dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size);
assertMatEqual(truth, dst);
}
public void testGetStructuringElementIntSizePoint() {
truth = new Mat(3, 3, CvType.CV_8UC1);
Size ksize = new Size(3, 3);
Point point = new Point(2, 2);
truth.put(0, 0, 0, 0, 1);
truth.put(1, 0, 0, 0, 1);
truth.put(2, 0, 1, 1, 1);
dst = Imgproc.getStructuringElement(Imgproc.MORPH_CROSS, ksize, point);
OpenCVTestRunner.Log(dst.dump());
dst = Imgproc.getStructuringElement(Imgproc.MORPH_CROSS, size, anchorPoint);
assertMatEqual(truth, dst);
}
......@@ -1054,7 +1003,6 @@ public class imgprocTest extends OpenCVTestCase {
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
Mat distCoeffs = new Mat();
Size size = new Size(3, 3);
Mat map1 = new Mat();
Mat map2 = new Mat();
......@@ -1141,9 +1089,9 @@ public class imgprocTest extends OpenCVTestCase {
public void testIntegral3MatMatMatMat() {
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
Mat expSum = new Mat(2, 2, CvType.CV_64F);
Mat expSqsum = new Mat(2, 2, CvType.CV_64F);
Mat expTilted = new Mat(2, 2, CvType.CV_64F);
Mat expSum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat expSqsum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat expTilted = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat sum = new Mat();
Mat sqsum = new Mat();
Mat tilted = new Mat();
......@@ -1166,9 +1114,9 @@ public class imgprocTest extends OpenCVTestCase {
public void testIntegral3MatMatMatMatInt() {
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
Mat expSum = new Mat(2, 2, CvType.CV_64F);
Mat expSqsum = new Mat(2, 2, CvType.CV_64F);
Mat expTilted = new Mat(2, 2, CvType.CV_64F);
Mat expSum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat expSqsum = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat expTilted = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
Mat sum = new Mat();
Mat sqsum = new Mat();
Mat tilted = new Mat();
......@@ -1189,7 +1137,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testIntegralMatMat() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
truth = new Mat(3, 3, CvType.CV_64F);
truth.put(0, 0, 0, 0, 0);
......@@ -1202,7 +1150,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testIntegralMatMatInt() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
truth = new Mat(3, 3, CvType.CV_64F);
truth.put(0, 0, 0, 0, 0);
......@@ -1214,10 +1162,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testInvertAffineTransform() {
Mat src = new Mat(2, 3, CvType.CV_64F);
src.put(0, 0, 1, 1, 1); //TODO: use setTo
src.put(1, 0, 1, 1, 1);
Mat src = new Mat(2, 3, CvType.CV_64F, new Scalar(1));
truth = new Mat(2, 3, CvType.CV_64F, new Scalar(0));
Imgproc.invertAffineTransform(src, dst);
......@@ -1248,11 +1193,9 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testLaplacianMatMatIntIntDouble() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, -8, 8);
truth.put(1, 0, 8, -8);
......@@ -1262,24 +1205,22 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testLaplacianMatMatIntIntDoubleDouble() {
Mat src = new Mat(2, 2, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F);
double delta = 0.0;
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
truth.put(0, 0, -8, 8);
truth.put(1, 0, 8, -8);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, -7.9990001, 8.0009995);
truth.put(1, 0, 8.0009995, -7.9990001);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, delta);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, EPS);
assertMatEqual(truth, dst);
}
public void testLaplacianMatMatIntIntDoubleDoubleInt() {
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2.0));
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(0.0));
double delta = 0.0;
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, delta, Imgproc.BORDER_REFLECT);
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(0.00099945068));
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, EPS, Imgproc.BORDER_REFLECT);
assertMatEqual(truth, dst);
}
......@@ -1289,15 +1230,16 @@ public class imgprocTest extends OpenCVTestCase {
contour1.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
contour1.put(0, 0, 1.0, 1.0, 6.0, 1.0, 4.0, 1.0, 2.0, 5.0);
double comparer = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 0.0);
double expComparer = 3.277376429165456;
//TODO: returns random comparers
double comparer = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1.0);
double expComparer = 2.98;
assertEquals(expComparer, comparer);
}
public void testMatchTemplate() {
Mat image = new Mat(2, 2, CvType.CV_8U);
Mat templ = new Mat(2, 2, CvType.CV_8U);
Mat image = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
Mat templ = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
image.put(0, 0, 1, 2, 3, 4);
templ.put(0, 0, 5, 6, 7, 8);
......@@ -1324,7 +1266,6 @@ public class imgprocTest extends OpenCVTestCase {
points.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
RotatedRect rrect = Imgproc.minAreaRect(points);
OpenCVTestRunner.Log(rrect.toString());
// TODO - how to test rotated rectangle
fail("Not yet implemented");
}
......@@ -1357,67 +1298,56 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testMorphologyExMatMatIntMatPoint() {
Mat src = new Mat(2, 2, CvType.CV_8U);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(0));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(0));
Point point = new Point(0, 0);
truth = new Mat(2, 2, CvType.CV_8U);
truth.put(0, 0, 1, 0); //TODO: use Mat.eye
truth.put(1, 0, 0, 1);
truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_OPEN, kernel, point);
assertMatEqual(truth, dst);
}
public void testMorphologyExMatMatIntMatPointInt() {
Mat src = new Mat(2, 2, CvType.CV_8U);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(0));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(0));
Point point = new Point(0, 0);
truth = new Mat(2, 2, CvType.CV_8U);
truth.put(0, 0, 1, 0); //TODO: use Mat.eye
truth.put(1, 0, 0, 1);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_CLOSE, kernel, point, 10);
truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
assertMatEqual(truth, dst);
}
public void testMorphologyExMatMatIntMatPointIntInt() {
Mat src = new Mat(2, 2, CvType.CV_8U);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
src.put(0, 0, 2, 1);
src.put(1, 0, 2, 1);
Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
Point point = new Point(1, 1);
truth = new Mat(2, 2, CvType.CV_8U);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Imgproc.BORDER_REFLECT);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
truth.put(0, 0, 1, 0);
truth.put(1, 0, 1, 0);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Imgproc.BORDER_REFLECT);
assertMatEqual(truth, dst);
}
public void testMorphologyExMatMatIntMatPointIntIntScalar() {
Mat src = new Mat(2, 2, CvType.CV_8U);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
src.put(0, 0, 2, 1);
src.put(1, 0, 2, 1);
Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
Point point = new Point(1, 1);
Scalar sc = new Scalar(3, 3);
truth = new Mat(2, 2, CvType.CV_8U);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Imgproc.BORDER_REFLECT, sc);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8U);
truth.put(0, 0, 1, 0);
truth.put(1, 0, 1, 0);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Imgproc.BORDER_REFLECT, sc);
assertMatEqual(truth, dst);
}
......@@ -1457,23 +1387,21 @@ public class imgprocTest extends OpenCVTestCase {
public void testPyrDownMatMat() {
Mat src = new Mat(4, 4, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 2, 1, 4, 2);
src.put(1, 0, 3, 2, 6, 8);
src.put(2, 0, 4, 6, 8, 10);
src.put(3, 0, 12, 32, 6, 18);
Imgproc.pyrDown(src, dst);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 2.78125, 4.609375);
truth.put(1, 0, 8.546875, 8.8515625);
Imgproc.pyrDown(src, dst);
assertMatEqual(truth, dst);
}
public void testPyrDownMatMatSize() {
Mat src = new Mat(4, 4, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Size dstSize = new Size(2, 2);
src.put(0, 0, 2, 1, 4, 2);
......@@ -1489,8 +1417,9 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testPyrMeanShiftFilteringMatMatDoubleDouble() {
Mat src = new Mat(8, 8, CvType.CV_8UC3, new Scalar(1.0));
Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(0.0));
Imgproc.pyrMeanShiftFiltering(src, dst, 2.0, 4.0);
//TODO : size of destination matrix not understandable
fail("Not yet implemented");
}
......@@ -1503,7 +1432,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testPyrUpMatMat() {
Mat src = new Mat(2, 2, CvType.CV_32F);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
src.put(0, 0, 2, 1);
src.put(1, 0, 3, 2);
......@@ -1518,7 +1447,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testPyrUpMatMatSize() {
Mat src = new Mat(2, 2, CvType.CV_32F);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
src.put(0, 0, 2, 1);
src.put(1, 0, 3, 2);
......@@ -1534,7 +1463,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testRemapMatMatMatMatInt() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
......@@ -1548,7 +1477,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testRemapMatMatMatMatIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
......@@ -1562,7 +1491,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testRemapMatMatMatMatIntIntScalar() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
......@@ -1578,7 +1507,7 @@ public class imgprocTest extends OpenCVTestCase {
}
public void testResizeMatMatSize() {
Mat src = new Mat(2, 2, CvType.CV_8UC1, new Scalar(1.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(1.0));
truth = new Mat(1, 1, CvType.CV_8UC1, new Scalar(1.0));
Size dsize = new Size(1, 1);
......@@ -1588,7 +1517,7 @@ public class imgprocTest extends OpenCVTestCase {
public void testResizeMatMatSizeDouble() {
Size dsize = new Size(2, 2);
truth = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, dsize, 0.5);
assertMatEqual(truth, dst);
......@@ -1596,7 +1525,7 @@ public class imgprocTest extends OpenCVTestCase {
public void testResizeMatMatSizeDoubleDouble() {
Size dsize = new Size(2, 2);
truth = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, dsize, 0.0, 0.0);
assertMatEqual(truth, dst);
......@@ -1604,47 +1533,38 @@ public class imgprocTest extends OpenCVTestCase {
public void testResizeMatMatSizeDoubleDoubleInt() {
Size dsize = new Size(2, 2);
truth = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, dsize, 1.5, 1.5, Imgproc.INTER_AREA);
assertMatEqual(truth, dst);
}
public void testScharrMatMatIntIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0);
assertMatEqual(truth, dst);
}
public void testScharrMatMatIntIntIntDouble() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
Imgproc.Scharr(src, dst, CvType.CV_32F, 0, 1, 1.5);
assertMatEqual(truth, dst);
}
public void testScharrMatMatIntIntIntDoubleDouble() {
Mat src = new Mat(2, 2, CvType.CV_32F);
src.put(0, 0, 1, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1);
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(0.001));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0.001));
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.001);
assertMatEqual(truth, dst);
}
public void testScharrMatMatIntIntIntDoubleDoubleInt() {
Mat src = new Mat(3, 3, CvType.CV_32F);
src.put(0, 0, 1, 0, 0); //TODO: use Mat.eye
src.put(1, 0, 0, 1, 0);
src.put(2, 0, 0, 0, 1);
Mat src = Mat.eye(3, 3, CvType.CV_32F);
truth = new Mat(3, 3, CvType.CV_32F);
truth.put(0, 0, -15, -19.5, -4.5);
......@@ -1652,65 +1572,58 @@ public class imgprocTest extends OpenCVTestCase {
truth.put(2, 0, 4.5, 19.5, 15);
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.0, Imgproc.BORDER_REFLECT);
fail("Not yet implemented");
assertMatEqual(truth, dst);
}
public void testSepFilter2DMatMatIntMatMat() {
Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(420));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(420));
kernelX.put(0, 0, 4.0, 3.0, 7.0);
kernelY.put(0, 0, 9.0, 4.0, 2.0);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY);
OpenCVTestRunner.Log(dst.dump());
assertMatEqual(truth, dst);
}
public void testSepFilter2DMatMatIntMatMatPoint() {
Mat src = new Mat(2, 2, CvType.CV_32FC1, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2.0));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(36.0));
Point point = new Point(2, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36.0));
kernelX.put(0, 0, 2.0, 2.0, 2.0);
kernelY.put(0, 0, 1.0, 1.0, 1.0);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, point);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint);
assertMatEqual(truth, dst);
}
public void testSepFilter2DMatMatIntMatMatPointDouble() {
Mat src = new Mat(2, 2, CvType.CV_32FC1, new Scalar(2.0));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2.0));
Point point = new Point(2, 2);
double delta = 0.001;
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
kernelX.put(0, 0, 2.0, 2.0, 2.0);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
kernelY.put(0, 0, 1.0, 1.0, 1.0);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(36.001));
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, point, delta);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36.001));
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, EPS);
assertMatEqual(truth, dst);
}
public void testSepFilter2DMatMatIntMatMatPointDoubleInt() {
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
Point point = new Point(2, 2);
double delta = 0.001;
kernelX.put(0, 0, 2.0, 2.0, 2.0);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
kernelY.put(0, 0, 1.0, 1.0, 1.0);
truth = new Mat(10, 10, CvType.CV_32F, new Scalar(0.001));
Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, point, delta, Imgproc.BORDER_REFLECT);
Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, EPS, Imgproc.BORDER_REFLECT);
assertMatEqual(truth, dst);
}
......@@ -1783,6 +1696,7 @@ public class imgprocTest extends OpenCVTestCase {
distCoeffs.put(0, 0, 1.0, 3.0, 2.0, 4.0);
truth = new Mat(3, 3, CvType.CV_32F);
truth.put(0, 0, 0, 0, 0);
truth.put(1, 0, 0, 0, 0);
truth.put(2, 0, 0, 3, 0);
......@@ -1795,29 +1709,30 @@ public class imgprocTest extends OpenCVTestCase {
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F);
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(1.0));
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
cameraMatrix.put(0, 0, 1, 0, 2);
cameraMatrix.put(0, 0, 1, 0, 1);
cameraMatrix.put(1, 0, 0, 1, 2);
cameraMatrix.put(2, 0, 0, 0, 1);
distCoeffs.put(0, 0, 1.0, 4.0, 0.0, 5.0);
distCoeffs.put(0, 0, 2.0, 1.0, 4.0, 5.0);
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Imgproc.undistort(src, dst, cameraMatrix, distCoeffs, newCameraMatrix);
assertMatEqual(truth, dst);
}
public void testWarpAffineMatMatMatSize() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(3, 3);
Mat src = new Mat(3, 3, CvType.CV_32F);;
Mat M = new Mat(2, 3, CvType.CV_32F);
src.put(0, 0, 2, 0, 1);
src.put(1, 0, 6, 4, 3);
src.put(2, 0, 1, 0, 2);
truth = new Mat(3, 3, CvType.CV_32F);
truth.put(0, 0, 0, 0, 0);
truth.put(1, 0, 0, 2, 0);
truth.put(2, 0, 0, 6, 4);
......@@ -1825,8 +1740,8 @@ public class imgprocTest extends OpenCVTestCase {
M.put(0, 0, 1, 0, 1);
M.put(1, 0, 0, 1, 1);
truth = new Mat(3, 3, CvType.CV_32F);
Imgproc.warpAffine(src, dst, M, dsize);
Imgproc.warpAffine(src, dst, M, size);
assertMatEqual(truth, dst);
}
......@@ -1839,15 +1754,14 @@ public class imgprocTest extends OpenCVTestCase {
src.put(1, 0, 6, 4, 3);
src.put(2, 0, 0, 2, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth.put(1, 0, 6, 4);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F);
Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP);
OpenCVTestRunner.Log(dst.dump());
assertMatEqual(truth, dst);
}
......@@ -1855,17 +1769,14 @@ public class imgprocTest extends OpenCVTestCase {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(2, 2);
Mat M = new Mat(2, 3, CvType.CV_32F);
Mat M = Mat.eye(2, 3, CvType.CV_32F);
src.put(0, 0, 2, 4, 1);
src.put(1, 0, 6, 4, 3);
src.put(2, 0, 0, 2, 2);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 2, 4);
truth.put(1, 0, 6, 4);
Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_TRANSPARENT);
......@@ -1874,19 +1785,18 @@ public class imgprocTest extends OpenCVTestCase {
public void testWarpAffineMatMatMatSizeIntIntScalar() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(2, 2);
Mat M = new Mat(2, 3, CvType.CV_32F);
Scalar sc = new Scalar(1.0);
src.put(0, 0, 2, 4, 1);
src.put(1, 0, 6, 4, 3);
src.put(2, 0, 0, 2, 2);
Mat M = new Mat(2, 3, CvType.CV_32F);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
M.put(1, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth.put(1, 0, 6, 4);
......@@ -1896,7 +1806,6 @@ public class imgprocTest extends OpenCVTestCase {
public void testWarpPerspectiveMatMatMatSize() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(3, 3);
Mat M = new Mat(3, 3, CvType.CV_32F);
src.put(0, 0, 2, 4, 1);
......@@ -1912,7 +1821,7 @@ public class imgprocTest extends OpenCVTestCase {
truth.put(1, 0, 0, 2, 4);
truth.put(2, 0, 0, 0, 4);
Imgproc.warpPerspective(src, dst, M, dsize);
Imgproc.warpPerspective(src, dst, M, size);
assertMatEqual(truth, dst);
}
......@@ -1926,10 +1835,15 @@ public class imgprocTest extends OpenCVTestCase {
Mat M = new Mat(3, 3, CvType.CV_32F);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
M.put(2, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth.put(1, 0, 6, 4);
Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP);
assertMatEqual(truth, dst);
}
public void testWarpPerspectiveMatMatMatSizeIntInt() {
......@@ -1942,14 +1856,14 @@ public class imgprocTest extends OpenCVTestCase {
Mat M = new Mat(3, 3, CvType.CV_32F);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F);
truth.put(0, 0, 6, 2);
truth.put(1, 0, 2, 2);
M.put(2, 0, 0, 0, 1);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth.put(1, 0, 6, 4);
Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_REFLECT);
OpenCVTestRunner.Log(dst.dump());
assertMatEqual(truth, dst);
assertMatEqual(truth, dst);
}
public void testWarpPerspectiveMatMatMatSizeIntIntScalar() {
......@@ -1959,23 +1873,29 @@ public class imgprocTest extends OpenCVTestCase {
src.put(2, 0, 0, 2, 2);
Size dsize = new Size(2, 2);
Mat M = new Mat(3, 3, CvType.CV_32F);
Mat M = Mat.eye(3, 3, CvType.CV_32F);
Scalar sc = new Scalar(1.0);
M.put(0, 0, 1, 0, 0);
M.put(1, 0, 0, 0, 1);
truth = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 2, 4);
truth.put(1, 0, 6, 4);
Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_REFLECT, sc);
assertMatEqual(truth, dst);
assertMatEqual(truth, dst);
}
public void testWatershed() {
Mat image = new Mat(matSize, matSize, CvType.CV_8UC(3), new Scalar(1.0));
Mat markers = new Mat(matSize, matSize, CvType.CV_32SC1, new Scalar(1.0));
Mat image = Mat.eye(4, 4, CvType.CV_8UC(3));
Mat markers = new Mat(4, 4, CvType.CV_32SC1, new Scalar(0));
truth = new Mat(4, 4, CvType.CV_32SC1);
truth.put(0, 0, -1, -1, -1, -1);
truth.put(1, 0,-1, 0, 0, -1);
truth.put(2, 0, -1, 0, 0, -1);
truth.put(3, 0, -1, -1, -1, -1);
Imgproc.watershed(image, markers);
fail("Not yet implemented");
assertMatEqual(truth, markers);
}
}
}
\ No newline at end of file
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