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Commit 99e3b5a2 authored by Andrey Kamaev's avatar Andrey Kamaev
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Java API: cleaned imgproc tests; changed signatures of several java functions

parent e2e4ee2f
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modules/java/android_test/src/org/opencv/test/imgproc/ImgprocTest.java
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package org.opencv.test.imgproc;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvException;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
......@@ -14,14 +16,12 @@ import org.opencv.core.Size;
import org.opencv.core.TermCriteria;
import org.opencv.imgproc.Imgproc;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
public class ImgprocTest extends OpenCVTestCase {
Point anchorPoint;
private Mat dst64F;
private Mat gray_64f_2;
private int imgprocSz;
private Mat mask;
Size size;
@Override
......@@ -29,122 +29,164 @@ public class ImgprocTest extends OpenCVTestCase {
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, new Scalar(0));
mask = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
anchorPoint = new Point(2, 2);
size = new Size(3, 3);
}
private Mat getMat(int type, double... vals)
{
return new Mat(matSize, matSize, type, new Scalar(vals));
}
private Mat makeMask(Mat m, double... vals)
{
m.submat(0, m.rows(), 0, m.cols() / 2).setTo(new Scalar(vals));
return m;
}
public void testAccumulateMatMat() {
Imgproc.accumulate(gray_64f_2, dst64F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
assertMatEqual(truth, dst64F, EPS);
Mat src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Imgproc.accumulate(src, dst);
Imgproc.accumulate(src, dst2);
dst = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
Imgproc.accumulate(gray1_32f, dst);
assertMatEqual(gray1_32f, dst, EPS);
assertMatEqual(src, dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 4), dst2, EPS);
}
public void testAccumulateMatMatMat() {
Imgproc.accumulate(gray_64f_2, dst64F, mask); // TODO: use better mask
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
assertMatEqual(truth, dst64F, EPS);
Mat src = getMat(CvType.CV_64F, 2);
Mat mask = makeMask(getMat(CvType.CV_8U, 1));
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Imgproc.accumulate(src, dst, mask);
Imgproc.accumulate(src, dst2, mask);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 2)), dst, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 4), 2), dst2, EPS);
}
public void testAccumulateProductMatMatMat() {
Mat src1 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(1));
Mat src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Mat src2 = new Mat(imgprocSz, imgprocSz, CvType.CV_64F);
src2.put(0, 0, 2, 1);
src2.put(1, 0, 1, 2);
Imgproc.accumulateProduct(src, src, dst);
Imgproc.accumulateProduct(src, dst, dst2);
Mat dstImage = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(0));
Imgproc.accumulateProduct(src1, src2, dstImage);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(2));
truth.put(0, 0, 2, 1);
truth.put(1, 0, 1, 2);
assertMatEqual(truth, dstImage, EPS);
assertMatEqual(getMat(CvType.CV_64F, 4), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 10), dst2, EPS);
}
public void testAccumulateProductMatMatMatMat() {
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(imgprocSz, imgprocSz, CvType.CV_64F);
src2.put(0, 0, 2, 1);
src2.put(1, 0, 1, 2);
Mat src = getMat(CvType.CV_64F, 2);
Mat mask = makeMask(getMat(CvType.CV_8U, 1));
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(0));
truth.put(0, 0, 2, 1);
truth.put(1, 0, 0, 2);
Imgproc.accumulateProduct(src, src, dst, mask);
Imgproc.accumulateProduct(src, dst, dst2, mask);
Imgproc.accumulateProduct(src1, src2, dst64F, mask);
assertMatEqual(truth, dst64F, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 10), 2), dst2, EPS);
}
public void testAccumulateSquareMatMat() {
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Mat src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Imgproc.accumulateSquare(gray_64f_2, dst64F);
assertMatEqual(truth, dst64F, EPS);
Imgproc.accumulateSquare(src, dst);
Imgproc.accumulateSquare(src, dst2);
assertMatEqual(getMat(CvType.CV_64F, 4), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 6), dst2, EPS);
}
public void testAccumulateSquareMatMatMat() {
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Mat src = getMat(CvType.CV_64F, 2);
Mat mask = makeMask(getMat(CvType.CV_8U, 1));
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Imgproc.accumulateSquare(src, dst, mask);
Imgproc.accumulateSquare(src, dst2, mask);
Imgproc.accumulateSquare(gray_64f_2, dst64F, mask);
assertMatEqual(truth, dst64F, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 6), 2), dst2, EPS);
}
public void testAccumulateWeightedMatMatDouble() {
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(4));
Mat src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 4);
Mat dst2 = src.clone();
Imgproc.accumulateWeighted(src, dst, 0.5);
Imgproc.accumulateWeighted(src, dst2, 2);
Imgproc.accumulateWeighted(gray_64f_2, dst64F, 2.0);
assertMatEqual(truth, dst64F, EPS);
assertMatEqual(getMat(CvType.CV_64F, 3), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 2), dst2, EPS);
}
public void testAccumulateWeightedMatMatDoubleMat() {
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_64F, new Scalar(8));
Imgproc.accumulateWeighted(gray_64f_2, dst64F, 4.0, mask);
assertMatEqual(truth, dst64F, EPS);
Mat src = getMat(CvType.CV_64F, 2);
Mat mask = makeMask(getMat(CvType.CV_8U, 1));
Mat dst = getMat(CvType.CV_64F, 4);
Mat dst2 = src.clone();
Imgproc.accumulateWeighted(src, dst, 0.5, mask);
Imgproc.accumulateWeighted(src, dst2, 2, mask);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 3), 4), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 2), dst2, EPS);
}
public void testAdaptiveThreshold() {
Imgproc.adaptiveThreshold(gray0, dst, 2.0, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 3, 0);
assertMatEqual(gray0, dst);
Mat src = makeMask(getMat(CvType.CV_8U, 50), 20);
Mat dst = new Mat();
Imgproc.adaptiveThreshold(src, dst, 1, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 3, 0);
assertEquals(src.rows(), Core.countNonZero(dst));
}
public void testApproxPolyDP() {
Mat curve = new Mat(1, 5, CvType.CV_32FC2);
curve.put(0, 0, 1.0, 3.0, 2.0, 4.0, 3.0, 5.0, 4.0, 4.0, 5.0, 3.0);
Mat approxCurve = new Mat(3, 1, CvType.CV_32FC2);
approxCurve.put(0, 0, 1.0, 3.0, 3.0, 5.0, 5.0, 3.0);
curve.put(0, 0, 1, 3, 2, 4, 3, 5, 4, 4, 5, 3);
Imgproc.approxPolyDP(curve, dst, EPS, true);
Mat approxCurve = new Mat(3, 1, CvType.CV_32FC2) {
{
put(0, 0, 1, 3, 3, 5, 5, 3);
}
};
assertMatEqual(approxCurve, dst, EPS);
}
public void testArcLength() {
Mat curve = new Mat(1, 5, CvType.CV_32FC2);
curve.put(0, 0, 1.0, 3.0, 2.0, 4.0, 3.0, 5.0, 4.0, 4.0, 5.0, 3.0);
List<Point> curve = Arrays.asList(new Point(1, 3), new Point(2, 4), new Point(3, 5), new Point(4, 4), new Point(5, 3));
double arcLength = Imgproc.arcLength(curve, false);
double expectedLength = 5.656854152679443;
assertEquals(expectedLength, arcLength);
assertEquals(5.656854152679443, arcLength);
}
public void testBilateralFilterMatMatIntDoubleDouble() {
Imgproc.bilateralFilter(gray255, dst, 5, 10.0, 5.0);
Imgproc.bilateralFilter(gray255, dst, 5, 10, 5);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBilateralFilterMatMatIntDoubleDoubleInt() {
Imgproc.bilateralFilter(gray255, dst, 5, 10.0, 5.0, Imgproc.BORDER_REFLECT);
Imgproc.bilateralFilter(gray255, dst, 5, 10, 5, Imgproc.BORDER_REFLECT);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBlurMatMatSize() {
......@@ -153,34 +195,36 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.blur(gray255, dst, size);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBlurMatMatSizePoint() {
Imgproc.blur(gray0, dst, size, anchorPoint);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testBlurMatMatSizePointInt() {
Imgproc.blur(gray0, dst, size, anchorPoint, Imgproc.BORDER_REFLECT);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testBorderInterpolate() {
float val1 = Imgproc.borderInterpolate(100, 150, Imgproc.BORDER_REFLECT_101);
assertEquals(100.0f, val1);
assertEquals(100f, val1);
float val2 = Imgproc.borderInterpolate(-5, 10, Imgproc.BORDER_WRAP);
assertEquals(5.0f, val2);
assertEquals(5f, val2);
}
public void testBoundingRect() {
Mat points = new Mat(1, 4, CvType.CV_32FC2);
points.put(0, 0, 0.0, 0.0, 0.0, 4.0, 4.0, 0.0, 4.0, 4.0);
List<Point> points = Arrays.asList(new Point(0, 0), new Point(0, 4), new Point(4, 0), new Point(4, 4));
Point p1 = new Point(1, 1);
Point p2 = new Point(-5, -2);
Rect bbox = Imgproc.boundingRect(points);
assertTrue(bbox.contains(p1));
assertFalse(bbox.contains(p2));
}
......@@ -189,246 +233,234 @@ public class ImgprocTest extends OpenCVTestCase {
Size size = new Size(3, 3);
Imgproc.boxFilter(gray0, dst, 8, size);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testBoxFilterMatMatIntSizePoint() {
Imgproc.boxFilter(gray0, dst, 8, size, anchorPoint);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testBoxFilterMatMatIntSizePointBoolean() {
Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBoxFilterMatMatIntSizePointBooleanInt() {
Imgproc.boxFilter(gray255, dst, 8, size, anchorPoint, false, Imgproc.BORDER_REFLECT);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testCalcBackProject() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
List<Float> ranges = new ArrayList<Float>();
images.add(grayChess);
channels.add(0);
histSize.add(10);
ranges.add(0.0f);
ranges.add(256.0f);
List<Mat> images = Arrays.asList(grayChess);
List<Integer> channels = Arrays.asList(0);
List<Integer> histSize = Arrays.asList(10);
List<Float> ranges = Arrays.asList(0f, 256f);
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
Core.normalize(hist, hist);
Imgproc.calcBackProject(images, channels, hist, dst, ranges, 255);
assertTrue(grayChess.size().equals(dst.size()));
assertEquals(grayChess.size(), dst.size());
assertEquals(grayChess.depth(), dst.depth());
assertTrue(0 != Core.countNonZero(dst));
assertFalse(0 == Core.countNonZero(dst));
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
List<Float> ranges = new ArrayList<Float>();
images.add(gray128);
channels.add(0);
histSize.add(10);
ranges.add(0.0f);
ranges.add(256.0f);
truth = new Mat(10, 1, CvType.CV_32F, Scalar.all(0.0));
truth.put(5, 0, 100.0);
List<Mat> images = Arrays.asList(gray128);
List<Integer> channels = Arrays.asList(0);
List<Integer> histSize = Arrays.asList(10);
List<Float> ranges = Arrays.asList(0f, 256f);
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
truth = new Mat(10, 1, CvType.CV_32F, Scalar.all(0)) {
{
put(5, 0, 100);
}
};
assertMatEqual(truth, hist, EPS);
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat2d() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
List<Float> ranges = new ArrayList<Float>();
images.add(gray255);
images.add(gray128);
channels.add(0);
channels.add(1);
histSize.add(10);
histSize.add(10);
ranges.add(0.0f);
ranges.add(256.0f);
ranges.add(0.0f);
ranges.add(256.0f);
truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0.0));
truth.put(9, 5, 100.0);
List<Mat> images = Arrays.asList(gray255, gray128);
List<Integer> channels = Arrays.asList(0, 1);
List<Integer> histSize = Arrays.asList(10, 10);
List<Float> ranges = Arrays.asList(0f, 256f, 0f, 256f);
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0)) {
{
put(9, 5, 100);
}
};
assertMatEqual(truth, hist, EPS);
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloatBoolean() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
List<Float> ranges = new ArrayList<Float>();
List<Mat> images = Arrays.asList(gray255, gray128);
List<Integer> channels = Arrays.asList(0, 1);
List<Integer> histSize = Arrays.asList(10, 10);
List<Float> ranges = Arrays.asList(0f, 256f, 0f, 256f);
Mat hist = new Mat();
images.add(gray255);
images.add(gray128);
channels.add(0);
channels.add(1);
histSize.add(10);
histSize.add(10);
ranges.add(0.0f);
ranges.add(256.0f);
ranges.add(0.0f);
ranges.add(256.0f);
truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0.0));
truth.put(9, 5, 100.0);
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges, true);
truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0)) {
{
put(9, 5, 100);
}
};
assertMatEqual(truth, hist, EPS);
}
public void testCannyMatMatDoubleDouble() {
Imgproc.Canny(gray255, dst, 5.0, 10.0);
Imgproc.Canny(gray255, dst, 5, 10);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testCannyMatMatDoubleDoubleInt() {
Imgproc.Canny(gray255, dst, 5.0, 10.0, 5);
Imgproc.Canny(gray255, dst, 5, 10, 5);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testCannyMatMatDoubleDoubleIntBoolean() {
Imgproc.Canny(gray0, dst, 5.0, 10.0, 5, true);
Imgproc.Canny(gray0, dst, 5, 10, 5, true);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testCompareHist() {
Mat H1 = new Mat(3, 1, CvType.CV_32F);
Mat H2 = new Mat(3, 1, CvType.CV_32F);
H1.put(0, 0, 1, 2, 3);
H2.put(0, 0, 4, 5, 6);
double comparator = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
assertEquals(1.0, comparator);
double distance = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
assertEquals(1., distance);
}
public void testContourAreaMat() {
Mat contour = new Mat(1, 4, CvType.CV_32FC2);
contour.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
double area = Imgproc.contourArea(contour);
assertEquals(45.0, area);
assertEquals(45., area);
}
public void testContourAreaMatBoolean() {
Mat contour = new Mat(1, 4, CvType.CV_32FC2);
contour.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
double area = Imgproc.contourArea(contour, true);
assertEquals(45.0, area);
assertEquals(45., area);
// TODO_: write better test
}
public void testConvertMapsMatMatMatMatInt() {
Mat map1 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(1.0));
Mat map2 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(2.0));
Mat map1 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(1));
Mat map2 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(2));
Mat dstmap1 = new Mat(1, 4, CvType.CV_16SC2);
Mat dstmap2 = new Mat(1, 4, CvType.CV_16UC1);
Imgproc.convertMaps(map1, map2, dstmap1, dstmap2, CvType.CV_16SC2);
Mat truthMap1 = new Mat(1, 4, CvType.CV_16SC2);
truthMap1.put(0, 0, 1, 2, 1, 2, 1, 2, 1, 2);
assertMatEqual(truthMap1, dstmap1);
Mat truthMap2 = new Mat(1, 4, CvType.CV_16UC1, new Scalar(0));
assertMatEqual(truthMap2, dstmap2);
}
public void testConvertMapsMatMatMatMatIntBoolean() {
Mat map1 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(2.0));
Mat map2 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(4.0));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(2));
Mat map2 = new Mat(1, 3, CvType.CV_32FC1, new Scalar(4));
Mat dstmap1 = new Mat(1, 3, CvType.CV_16SC2);
Mat dstmap2 = new Mat(1, 3, CvType.CV_16UC1);
Imgproc.convertMaps(map1, map2, dstmap1, dstmap2, CvType.CV_16SC2, false);
// TODO_: write better test (last param == true)
Mat truthMap1 = new Mat(1, 3, CvType.CV_16SC2);
truthMap1.put(0, 0, 2, 4, 2, 4, 2, 4);
assertMatEqual(truthMap1, dstmap1);
Mat truthMap2 = new Mat(1, 3, CvType.CV_16UC1, new Scalar(0));
assertMatEqual(truthMap2, dstmap2);
}
public void testConvexHullMatMat() {
Mat points = new Mat(1, 6, CvType.CV_32FC2);
points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0, 1.0);
points.put(0, 0, 2, 0, 4, 0, 3, 2, 0, 2, 2, 1, 3, 1);
Imgproc.convexHull(points, dst);
Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
expHull.put(0, 0, 4, 0, 3, 2, 0, 2, 2, 0);
Imgproc.convexHull(points, dst);
assertMatEqual(expHull, dst, EPS);
}
public void testConvexHullMatMatBoolean() {
Mat points = new Mat(1, 6, CvType.CV_32FC2);
points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0, 1.0);
points.put(0, 0, 2, 0, 4, 0, 3, 2, 0, 2, 2, 1, 3, 1);
Imgproc.convexHull(points, dst, true);
Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
expHull.put(0, 0, 0, 2, 3, 2, 4, 0, 2, 0);
Imgproc.convexHull(points, dst, true);
assertMatEqual(expHull, dst, EPS);
}
public void testConvexHullMatMatBooleanBoolean() {
Mat points = new Mat(1, 6, CvType.CV_32FC2);
points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0, 1.0);
points.put(0, 0, 2, 0, 4, 0, 3, 2, 0, 2, 2, 1, 3, 1);
Imgproc.convexHull(points, dst, true, true);
// TODO_: write better test (last param == false)
Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
expHull.put(0, 0, 0, 2, 3, 2, 4, 0, 2, 0);
Imgproc.convexHull(points, dst, true, true);
assertMatEqual(expHull, dst, EPS);
}
public void testCopyMakeBorderMatMatIntIntIntIntInt() {
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;
Imgproc.copyMakeBorder(src, dst, border, border, border, border, Imgproc.BORDER_REPLICATE);
truth = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
assertMatEqual(truth, dst, EPS);
}
public void testCopyMakeBorderMatMatIntIntIntIntIntScalar() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1));
truth = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
Scalar value = new Scalar(0);
int border = 2;
Imgproc.copyMakeBorder(src, dst, border, border, border, border, Imgproc.BORDER_REPLICATE, value);
// TODO_: write better test (use Imgproc.BORDER_CONSTANT)
truth = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
assertMatEqual(truth, dst, EPS);
}
public void testCornerEigenValsAndVecsMatMatIntInt() {
fail("Not yet implemented");
// TODO: write better test
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
src.put(0, 0, 1, 2);
src.put(1, 0, 4, 2);
......@@ -443,6 +475,8 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testCornerEigenValsAndVecsMatMatIntIntInt() {
fail("Not yet implemented");
// TODO: write better test
Mat src = new Mat(4, 4, CvType.CV_32FC1, new Scalar(128));
int blockSize = 3;
......@@ -455,6 +489,9 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testCornerHarrisMatMatIntIntDouble() {
fail("Not yet implemented");
// TODO: write better test
truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
int blockSize = 5;
int ksize = 7;
......@@ -464,6 +501,9 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testCornerHarrisMatMatIntIntDoubleInt() {
fail("Not yet implemented");
// TODO: write better test
truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
int blockSize = 5;
int ksize = 7;
......@@ -473,6 +513,9 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testCornerMinEigenValMatMatInt() {
fail("Not yet implemented");
// TODO: write better test
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1);
src.put(0, 0, 1, 2);
src.put(1, 0, 2, 1);
......@@ -496,10 +539,13 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize);
truth = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
truth.put(0, 0, 0.055555549, 0.027777772, 0.055555549);
truth.put(1, 0, 0.027777772, 0.055555549, 0.027777772);
truth.put(2, 0, 0.055555549, 0.027777772, 0.055555549);
truth = new Mat(3, 3, CvType.CV_32FC1) {
{
put(0, 0, 1. / 18, 1. / 36, 1. / 18);
put(1, 0, 1. / 36, 1. / 18, 1. / 36);
put(2, 0, 1. / 18, 1. / 36, 1. / 18);
}
};
assertMatEqual(truth, dst, EPS);
}
......@@ -510,132 +556,108 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize, Imgproc.BORDER_REFLECT);
truth = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
truth.put(0, 0, 0.68055558, 0.92708349, 0.5868057);
truth.put(1, 0, 0.92708343, 0.92708343, 0.92708343);
truth.put(2, 0, 0.58680564, 0.92708343, 0.68055564);
truth = new Mat(3, 3, CvType.CV_32FC1) {
{
put(0, 0, 0.68055558, 0.92708349, 0.5868057);
put(1, 0, 0.92708343, 0.92708343, 0.92708343);
put(2, 0, 0.58680564, 0.92708343, 0.68055564);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testCornerSubPix() {
Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(128));
Point truthPosition = new Point(img.cols() / 2, img.rows() / 2);
Rect r = new Rect(new Point(0, 0), truthPosition);
Core.rectangle(img, r.tl(), r.br(), new Scalar(0), -1 /* TODO: CV_FILLED */);
Core.rectangle(img, r.tl(), r.br(), new Scalar(0), Core.FILLED);
List<Point> corners = new ArrayList<Point>();
corners.add(new Point(truthPosition.x + 1, truthPosition.y + 1));
Size winSize = new Size(2, 2);
Size zeroZone = new Size(-1, -1);
TermCriteria criteria = new TermCriteria(2 /* TODO: CV_TERMCRIT_EPS */, 0, 0.01);
TermCriteria criteria = new TermCriteria(TermCriteria.EPS, 0, 0.01);
Imgproc.cornerSubPix(img, corners, winSize, zeroZone, criteria);
assertPointEquals(truthPosition, corners.get(0), weakEPS);
}
public void testCvtColorMatMatInt() {
Imgproc.cvtColor(rgba0, dst, 2);
assertMatEqual(rgba0, dst);
fail("Not yet implemented");
}
public void testCvtColorMatMatIntInt() {
Imgproc.cvtColor(rgba128, dst, 2, 1);
assertMatEqual(rgba128, dst);
fail("Not yet implemented");
}
public void testDilateMatMatMat() {
Mat kernel = new Mat();
Imgproc.dilate(gray255, dst, kernel);
assertMatEqual(gray255, dst);
Imgproc.dilate(gray1, dst, kernel);
assertMatEqual(gray1, dst);
// TODO_: write better test
}
public void testDilateMatMatMatPoint() {
Mat kernel = new Mat();
Imgproc.dilate(gray255, dst, kernel, anchorPoint);
assertMatEqual(gray255, dst);
fail("Not yet implemented");
}
public void testDilateMatMatMatPointInt() {
Mat kernel = new Mat();
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10);
assertMatEqual(gray255, dst);
fail("Not yet implemented");
}
public void testDilateMatMatMatPointIntInt() {
Mat kernel = new Mat();
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT);
assertMatEqual(gray255, dst);
fail("Not yet implemented");
}
public void testDilateMatMatMatPointIntIntScalar() {
Mat kernel = new Mat();
Scalar value = new Scalar(0);
Imgproc.dilate(gray255, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT, value);
assertMatEqual(gray255, dst);
fail("Not yet implemented");
}
public void testDistanceTransform() {
truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(8192));
Mat dstLables = new Mat(matSize, matSize, CvType.CV_32SC1, new Scalar(0));
Mat dstLables = getMat(CvType.CV_32SC1, 0);
Mat labels = new Mat();
Imgproc.distanceTransform(gray128, dst, labels, Imgproc.CV_DIST_L2, 3);
assertMatEqual(truth, dst, EPS);
assertMatEqual(dstLables, labels);
assertMatEqual(getMat(CvType.CV_32FC1, 8192), dst, EPS);
}
public void testDrawContoursMatListOfMatIntScalar() {
List<Mat> contours = new ArrayList<Mat>(5);
Mat hierarchy = dst;
Core.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
Imgproc.findContours(gray0, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
assertTrue(1 == contours.size());
assertFalse(0 == Core.countNonZero(gray0));
List<Mat> contours = new ArrayList<Mat>();
Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(gray0, contours, -1, new Scalar(0));
assertTrue(0 == Core.countNonZero(gray0));
assertEquals(0, Core.countNonZero(gray0));
}
public void testDrawContoursMatListOfMatIntScalarInt() {
List<Mat> contours = new ArrayList<Mat>(5);
Mat hierarchy = dst;
Core.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
Imgproc.findContours(gray0, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
assertTrue(1 == contours.size());
List<Mat> contours = new ArrayList<Mat>();
Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(gray0, contours, -1, new Scalar(0), Core.FILLED);
assertFalse(0 == Core.countNonZero(gray0));
Imgproc.drawContours(gray0, contours, -1, new Scalar(0), -1);//TODO: CV_FILLED
assertTrue(0 == Core.countNonZero(gray0));
assertEquals(0, Core.countNonZero(gray0));
}
public void testDrawContoursMatListOfMatIntScalarIntInt() {
List<Mat> contours = new ArrayList<Mat>(5);
Mat hierarchy = dst;
int linetype = 8;//TODO: line type constant
Core.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
Imgproc.findContours(gray0, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
assertTrue(1 == contours.size());
List<Mat> contours = new ArrayList<Mat>();
Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(gray0, contours, -1, new Scalar(0), Core.FILLED, Core.LINE_8);
assertFalse(0 == Core.countNonZero(gray0));
Imgproc.drawContours(gray0, contours, -1, new Scalar(0), -1, linetype);//TODO: CV_FILLED
assertTrue(0 == Core.countNonZero(gray0));
assertEquals(0, Core.countNonZero(gray0));
}
public void testDrawContoursMatListOfMatIntScalarIntIntMat() {
......@@ -656,6 +678,7 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.equalizeHist(gray255, dst);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testErodeMatMatMat() {
......@@ -667,74 +690,89 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testErodeMatMatMatPoint() {
Mat src = new Mat(3, 3, CvType.CV_8U);
src.put(0, 0, 1, 4, 8);
src.put(1, 0, 2, 0, 1);
src.put(2, 0, 3, 4, 6);
Mat src = new Mat(3, 3, CvType.CV_8U) {
{
put(0, 0, 1, 4, 8);
put(1, 0, 2, 0, 1);
put(2, 0, 3, 4, 6);
}
};
Mat kernel = new Mat();
Imgproc.erode(src, dst, kernel, anchorPoint);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(0.0));
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(0));
assertMatEqual(truth, dst);
}
public void testErodeMatMatMatPointInt() {
Mat src = new Mat(3, 3, CvType.CV_8U);
src.put(0, 0, 15, 9, 10);
src.put(1, 0, 10, 8, 12);
src.put(2, 0, 12, 20, 25);
Mat src = new Mat(3, 3, CvType.CV_8U) {
{
put(0, 0, 15, 9, 10);
put(1, 0, 10, 8, 12);
put(2, 0, 12, 20, 25);
}
};
Mat kernel = new Mat();
Imgproc.erode(src, dst, kernel, anchorPoint, 10);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8));
assertMatEqual(truth, dst);
}
public void testErodeMatMatMatPointIntInt() {
Mat src = new Mat(3, 3, CvType.CV_8U);
src.put(0, 0, 15, 9, 10);
src.put(1, 0, 10, 8, 12);
src.put(2, 0, 12, 20, 25);
Mat src = new Mat(3, 3, CvType.CV_8U) {
{
put(0, 0, 15, 9, 10);
put(1, 0, 10, 8, 12);
put(2, 0, 12, 20, 25);
}
};
Mat kernel = new Mat();
Imgproc.erode(src, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8));
assertMatEqual(truth, dst);
}
public void testErodeMatMatMatPointIntIntScalar() {
Mat src = new Mat(3, 3, CvType.CV_8U);
src.put(0, 0, 15, 9, 10);
src.put(1, 0, 10, 8, 12);
src.put(2, 0, 12, 20, 25);
Mat src = new Mat(3, 3, CvType.CV_8U) {
{
put(0, 0, 15, 9, 10);
put(1, 0, 10, 8, 12);
put(2, 0, 12, 20, 25);
}
};
Mat kernel = new Mat();
Scalar sc = new Scalar(3, 3);
Imgproc.erode(src, dst, kernel, anchorPoint, 10, Imgproc.BORDER_REFLECT, sc);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(8));
assertMatEqual(truth, dst);
}
public void testFilter2DMatMatIntMat() {
Mat src = Mat.eye(4, 4, CvType.CV_32F);
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1));
Imgproc.filter2D(src, dst, -1, kernel);
truth = new Mat(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);
truth = new Mat(4, 4, CvType.CV_32F) {
{
put(0, 0, 2, 2, 1, 0);
put(1, 0, 2, 2, 1, 0);
put(2, 0, 1, 1, 2, 1);
put(3, 0, 0, 0, 1, 2);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testFilter2DMatMatIntMatPoint() {
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1.0));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(1));
Point point = new Point(0, 0);
Imgproc.filter2D(gray128, dst, -1, kernel, point);
......@@ -747,10 +785,10 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testFilter2DMatMatIntMatPointDoubleInt() {
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0.0));
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
Point point = new Point(0, 0);
Imgproc.filter2D(gray128, dst, -1, kernel, point, 2.0, Imgproc.BORDER_CONSTANT);
Imgproc.filter2D(gray128, dst, -1, kernel, point, 2, Imgproc.BORDER_CONSTANT);
assertMatEqual(gray2, dst);
}
......@@ -758,7 +796,7 @@ public class ImgprocTest extends OpenCVTestCase {
public void testFindContoursMatListOfMatMatIntInt() {
Mat img = new Mat(50, 50, CvType.CV_8UC1, new Scalar(0));
List<Mat> contours = new ArrayList<Mat>(5);
Mat hierarchy = dst;
Mat hierarchy = new Mat();
Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
......@@ -766,7 +804,7 @@ public class ImgprocTest extends OpenCVTestCase {
assertEquals(contours.size(), 0);
assertEquals(contours.size(), hierarchy.total());
Core.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, 16 /* CV_AA */);
Core.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Core.LINE_AA);
Core.rectangle(img, new Point(30, 35), new Point(40, 45), new Scalar(200));
Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
......@@ -781,38 +819,31 @@ public class ImgprocTest extends OpenCVTestCase {
Mat img2 = img.submat(5, 50, 3, 50);
List<Mat> contours = new ArrayList<Mat>();
List<Mat> contours2 = new ArrayList<Mat>();
Mat hierarchy = dst;
Core.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, 16 /* CV_AA */);
Core.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Core.LINE_AA);
Core.rectangle(img, new Point(30, 35), new Point(40, 45), new Scalar(200));
Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.findContours(img2, contours2, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE, new Point(3, 5));
Imgproc.findContours(img, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.findContours(img2, contours2, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE, new Point(3, 5));
assertEquals(contours.size(), contours2.size());
assertMatEqual(contours.get(0), contours2.get(0));
}
public void testFitEllipse() {
List<Point> points = new ArrayList<Point>();
points.add(new Point(0, 0));
points.add(new Point(-1, 1));
points.add(new Point(1, 1));
points.add(new Point(1, -1));
points.add(new Point(-1, -1));
List<Point> points = Arrays.asList(new Point(0, 0), new Point(-1, 1), new Point(1, 1), new Point(1, -1), new Point(-1, -1));
RotatedRect rrect = new RotatedRect();
rrect = Imgproc.fitEllipse(points);
assertEquals(0.0, rrect.center.x);
assertEquals(0.0, rrect.center.y);
assertPointEquals(new Point(0, 0), rrect.center, EPS);
assertEquals(2.53, rrect.size.width, EPS);
assertEquals(2.53, rrect.size.height, EPS);
}
public void testFitLine() {
Mat points = new Mat(1, 4, CvType.CV_32FC2);
points.put(0, 0, 0.0, 0.0, 2.0, 3.0, 3.0, 4.0, 5.0, 8.0);
points.put(0, 0, 0, 0, 2, 3, 3, 4, 5, 8);
Mat linePoints = new Mat(4, 1, CvType.CV_32FC1);
linePoints.put(0, 0, 0.53196341, 0.84676737, 2.496531, 3.7467217);
......@@ -843,7 +874,6 @@ public class ImgprocTest extends OpenCVTestCase {
int retval = Imgproc.floodFill(img, new Mat(), new Point(matSize / 2, matSize / 2), new Scalar(1));
Core.circle(img, new Point(matSize / 2, matSize / 2), 3, new Scalar(0));
assertEquals(Core.countNonZero(img), retval);
}
......@@ -864,41 +894,40 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testGaussianBlurMatMatSizeDouble() {
Imgproc.GaussianBlur(gray0, dst, size, 1.0);
Imgproc.GaussianBlur(gray0, dst, size, 1);
assertMatEqual(gray0, dst);
Imgproc.GaussianBlur(gray2, dst, size, 1.0);
Imgproc.GaussianBlur(gray2, dst, size, 1);
assertMatEqual(gray2, dst);
}
public void testGaussianBlurMatMatSizeDoubleDouble() {
Imgproc.GaussianBlur(gray2, dst, size, 0.0, 0.0);
Imgproc.GaussianBlur(gray2, dst, size, 0, 0);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testGaussianBlurMatMatSizeDoubleDoubleInt() {
Imgproc.GaussianBlur(gray2, dst, size, 1.0, 3.0, Imgproc.BORDER_REFLECT);
Imgproc.GaussianBlur(gray2, dst, size, 1, 3, Imgproc.BORDER_REFLECT);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testGetAffineTransform() {
Mat src = new Mat(3, 2, CvType.CV_32F);
src.put(0, 0, 2, 3);
src.put(1, 0, 3, 1);
src.put(2, 0, 1, 4);
Mat dstPoints = new Mat(3, 2, CvType.CV_32F);
dstPoints.put(0, 0, 3, 3);
dstPoints.put(1, 0, 7, 4);
dstPoints.put(2, 0, 5, 6);
dst = Imgproc.getAffineTransform(src, dstPoints);
Mat truth = new Mat(2, 3, CvType.CV_64FC1);
truth.put(0, 0, -8, -6, 37);
truth.put(1, 0, -7, -4, 29);
assertMatEqual(truth, dst, EPS);
List<Point> src = Arrays.asList(new Point(2, 3), new Point(3, 1), new Point(1, 4));
List<Point> dst = Arrays.asList(new Point(3, 3), new Point(7, 4), new Point(5, 6));
Mat transform = Imgproc.getAffineTransform(src, dst);
Mat truth = new Mat(2, 3, CvType.CV_64FC1) {
{
put(0, 0, -8, -6, 37);
put(1, 0, -7, -4, 29);
}
};
assertMatEqual(truth, transform, EPS);
}
public void testGetDefaultNewCameraMatrixMat() {
......@@ -913,6 +942,7 @@ public class ImgprocTest extends OpenCVTestCase {
assertFalse(mtx.empty());
assertEquals(0, Core.countNonZero(mtx));
// TODO_: write better test
}
public void testGetDefaultNewCameraMatrixMatSizeBoolean() {
......@@ -920,6 +950,7 @@ public class ImgprocTest extends OpenCVTestCase {
assertFalse(mtx.empty());
assertFalse(0 == Core.countNonZero(mtx));
// TODO_: write better test
}
public void testGetDerivKernelsMatMatIntIntInt() {
......@@ -927,17 +958,15 @@ public class ImgprocTest extends OpenCVTestCase {
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);
kx.put(0, 0, 1, 1);
kx.put(1, 0, 1, 1);
ky.put(0, 0, 2, 2);
ky.put(1, 0, 2, 2);
expKx.put(0, 0, 1, -2, 1);
expKy.put(0, 0, 1, -2, 1);
Imgproc.getDerivKernels(kx, ky, 2, 2, 3);
assertMatEqual(expKx, kx, EPS);
assertMatEqual(expKy, ky, EPS);
}
......@@ -947,19 +976,18 @@ public class ImgprocTest extends OpenCVTestCase {
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);
kx.put(0, 0, 1, 1);
kx.put(1, 0, 1, 1);
ky.put(0, 0, 2, 2);
ky.put(1, 0, 2, 2);
expKx.put(0, 0, 1, -2, 1);
expKy.put(0, 0, 1, -2, 1);
Imgproc.getDerivKernels(kx, ky, 2, 2, 3, true);
assertMatEqual(expKx, kx, EPS);
assertMatEqual(expKy, ky, EPS);
// TODO_: write better test
}
public void testGetDerivKernelsMatMatIntIntIntBooleanInt() {
......@@ -967,35 +995,32 @@ public class ImgprocTest extends OpenCVTestCase {
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);
kx.put(0, 0, 1, 1);
kx.put(1, 0, 1, 1);
ky.put(0, 0, 2, 2);
ky.put(1, 0, 2, 2);
expKx.put(0, 0, 1, -2, 1);
expKy.put(0, 0, 1, -2, 1);
Imgproc.getDerivKernels(kx, ky, 2, 2, 3, true, CvType.CV_32F);
assertMatEqual(expKx, kx, EPS);
assertMatEqual(expKy, ky, EPS);
// TODO_: write better test
}
public void testGetGaussianKernelIntDouble() {
truth = new Mat(1, 1, CvType.CV_64FC1, new Scalar(1.0));
dst = Imgproc.getGaussianKernel(1, 0.5);
truth = new Mat(1, 1, CvType.CV_64FC1, new Scalar(1));
assertMatEqual(truth, dst, EPS);
}
public void testGetGaussianKernelIntDoubleInt() {
truth = new Mat(3, 1, CvType.CV_32F);
truth.put(0, 0, 0.23899426, 0.52201146, 0.23899426);
dst = Imgproc.getGaussianKernel(3, 0.8, CvType.CV_32F);
truth = new Mat(3, 1, CvType.CV_32F);
truth.put(0, 0, 0.23899426, 0.52201146, 0.23899426);
assertMatEqual(truth, dst, EPS);
}
......@@ -1004,49 +1029,58 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testGetRectSubPixMatSizePointMat() {
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(255));
Size size = new Size(3, 3);
Point center = new Point(gray255.cols() / 2, gray255.rows() / 2);
Imgproc.getRectSubPix(gray255, size, center, dst);
truth = new Mat(3, 3, CvType.CV_8U, new Scalar(255));
assertMatEqual(truth, dst);
}
public void testGetRectSubPixMatSizePointMatInt() {
Mat src = new Mat(10, 10, CvType.CV_32F, new Scalar(2));
truth = new Mat(5, 5, CvType.CV_32F, new Scalar(2));
Size patchSize = new Size(5, 5);
Point center = new Point(src.cols() / 2, src.rows() / 2);
Imgproc.getRectSubPix(src, patchSize, center, dst);
truth = new Mat(5, 5, CvType.CV_32F, new Scalar(2));
assertMatEqual(truth, dst, EPS);
}
public void testGetRotationMatrix2D() {
truth = new Mat(2, 3, CvType.CV_64F);
truth.put(0, 0, 1, 0, 0);
truth.put(1, 0, 0, 1, 0);
Point center = new Point(0, 0);
dst = Imgproc.getRotationMatrix2D(center, 0.0, 1.0);
dst = Imgproc.getRotationMatrix2D(center, 0, 1);
truth = new Mat(2, 3, CvType.CV_64F) {
{
put(0, 0, 1, 0, 0);
put(1, 0, 0, 1, 0);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testGetStructuringElementIntSize() {
truth = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1.0));
dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size);
truth = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1));
assertMatEqual(truth, dst);
}
public void testGetStructuringElementIntSizePoint() {
truth = new Mat(3, 3, CvType.CV_8UC1);
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, size, anchorPoint);
truth = new Mat(3, 3, CvType.CV_8UC1) {
{
put(0, 0, 0, 0, 1);
put(1, 0, 0, 0, 1);
put(2, 0, 1, 1, 1);
}
};
assertMatEqual(truth, dst);
}
......@@ -1116,54 +1150,78 @@ public class ImgprocTest extends OpenCVTestCase {
public void testHoughCirclesMatMatIntDoubleDouble() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
assertEquals(0, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDouble1() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
Point center = new Point(img.cols() / 2, img.rows() / 2);
int radius = Math.min(img.cols() / 4, img.rows() / 4);
Core.circle(img, center, radius, colorBlack, 3);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
assertEquals(1, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDoubleDouble() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
double param1 = 50;
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4, param1);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4, param1);
assertEquals(0, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDoubleDouble1() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
double param1 = 50;
Point center = new Point(img.cols() / 2, img.rows() / 2);
int radius = Math.min(img.cols() / 4, img.rows() / 4);
Core.circle(img, center, radius, colorBlack, 3);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4, param1);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4, param1);
assertEquals(1, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDoubleDoubleDouble() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
double param1 = 50;
double param2 = 100;
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4, param1, param2);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4, param1, param2);
assertEquals(0, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDoubleDoubleDouble1() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat circles = new Mat();
double param1 = 50;
double param2 = 100;
Point center = new Point(img.cols() / 2, img.rows() / 2);
int radius = Math.min(img.cols() / 4, img.rows() / 4);
Core.circle(img, center, radius, colorBlack, 3);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2.0, img.rows() / 4, param1, param2);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4, param1, param2);
assertEquals(1, circles.cols());
}
......@@ -1179,11 +1237,8 @@ public class ImgprocTest extends OpenCVTestCase {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(128));
Mat lines = new Mat();
Point point1 = new Point(50, 50);
Point point2 = new Point(img.cols() / 2, img.rows() / 2);
assertEquals(0, lines.cols());
Core.line(img, point1, point2, colorBlack, 2);
Imgproc.HoughLines(img, lines, 1, 5, 1);
......@@ -1216,13 +1271,14 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testInitUndistortRectifyMap() {
fail("Not yet implemented");
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
cameraMatrix.put(0, 0, 1, 0, 1);
cameraMatrix.put(1, 0, 0, 1, 1);
cameraMatrix.put(2, 0, 0, 0, 1);
Mat R = new Mat(3, 3, CvType.CV_32F, new Scalar(2.0));
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
Mat R = new Mat(3, 3, CvType.CV_32F, new Scalar(2));
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Mat distCoeffs = new Mat();
Mat map1 = new Mat();
......@@ -1230,10 +1286,10 @@ public class ImgprocTest extends OpenCVTestCase {
// TODO: complete this test
Imgproc.initUndistortRectifyMap(cameraMatrix, distCoeffs, R, newCameraMatrix, size, CvType.CV_32F, map1, map2);
fail("Not yet implemented");
}
public void testInitWideAngleProjMapMatMatSizeIntIntMatMat() {
fail("Not yet implemented");
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
// Size imageSize = new Size(2, 2);
......@@ -1242,15 +1298,14 @@ public class ImgprocTest extends OpenCVTestCase {
cameraMatrix.put(1, 0, 0, 1, 2);
cameraMatrix.put(2, 0, 0, 0, 1);
distCoeffs.put(0, 0, 1.0, 3.0, 2.0, 4);
distCoeffs.put(0, 0, 1, 3, 2, 4);
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);
// TODO: No documentation for this function
// Imgproc.initWideAngleProjMap(cameraMatrix, distCoeffs, imageSize,
// 5.0, m1type, truthput1, truthput2);
fail("Not yet implemented");
// 5, m1type, truthput1, truthput2);
}
public void testInitWideAngleProjMapMatMatSizeIntIntMatMatInt() {
......@@ -1262,12 +1317,17 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testInpaint() {
Imgproc.inpaint(gray255, gray128, dst, 3.0, Imgproc.INPAINT_TELEA);
assertMatEqual(gray255, dst);
Core.circle(gray255, new Point(matSize / 2, matSize / 2), 2, colorBlack, Core.FILLED);
Core.circle(gray0, new Point(matSize / 2, matSize / 2), 2, colorWhite, Core.FILLED);
Imgproc.inpaint(gray255, gray0, dst, 3, Imgproc.INPAINT_TELEA);
OpenCVTestRunner.Log(dst);// TODO:remove
assertMatEqual(getMat(CvType.CV_8U, 255), dst);
}
public void testIntegral2MatMatMat() {
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Mat expSum = new Mat(4, 4, CvType.CV_64F);
Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
Mat sum = new Mat();
......@@ -1284,12 +1344,13 @@ public class ImgprocTest extends OpenCVTestCase {
expSqsum.put(3, 0, 0, 27, 54, 81);
Imgproc.integral2(src, sum, sqsum);
assertMatEqual(expSum, sum, EPS);
assertMatEqual(expSqsum, sqsum, EPS);
}
public void testIntegral2MatMatMatInt() {
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Mat expSum = new Mat(4, 4, CvType.CV_64F);
Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
Mat sum = new Mat();
......@@ -1306,12 +1367,13 @@ public class ImgprocTest extends OpenCVTestCase {
expSqsum.put(3, 0, 0, 27, 54, 81);
Imgproc.integral2(src, sum, sqsum, CvType.CV_64F);
assertMatEqual(expSum, sum, EPS);
assertMatEqual(expSqsum, sqsum, EPS);
}
public void testIntegral3MatMatMatMat() {
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1));
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);
......@@ -1329,14 +1391,14 @@ public class ImgprocTest extends OpenCVTestCase {
expTilted.put(1, 0, 0, 1);
Imgproc.integral3(src, sum, sqsum, tilted);
assertMatEqual(expSum, sum, EPS);
assertMatEqual(expSqsum, sqsum, EPS);
assertMatEqual(expTilted, tilted, EPS);
}
public void testIntegral3MatMatMatMatInt() {
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1));
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);
......@@ -1354,122 +1416,138 @@ public class ImgprocTest extends OpenCVTestCase {
expTilted.put(1, 0, 0, 1);
Imgproc.integral3(src, sum, sqsum, tilted, CvType.CV_64F);
assertMatEqual(expSum, sum, EPS);
assertMatEqual(expSqsum, sqsum, EPS);
assertMatEqual(expTilted, tilted, EPS);
}
public void testIntegralMatMat() {
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);
truth.put(1, 0, 0, 2, 4);
truth.put(2, 0, 0, 4, 8);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Imgproc.integral(src, dst);
assertMatEqual(truth, dst, EPS);
truth = new Mat(3, 3, CvType.CV_64F) {
{
put(0, 0, 0, 0, 0);
put(1, 0, 0, 2, 4);
put(2, 0, 0, 4, 8);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testIntegralMatMatInt() {
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);
truth.put(1, 0, 0, 2, 4);
truth.put(2, 0, 0, 4, 8);
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Imgproc.integral(src, dst, CvType.CV_64F);
truth = new Mat(3, 3, CvType.CV_64F) {
{
put(0, 0, 0, 0, 0);
put(1, 0, 0, 2, 4);
put(2, 0, 0, 4, 8);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testInvertAffineTransform() {
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);
truth = new Mat(2, 3, CvType.CV_64F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testIsContourConvex() {
Mat contour1 = new Mat(1, 4, CvType.CV_32FC2);
contour1.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
List<Point> contour1 = Arrays.asList(new Point(0, 0), new Point(10, 0), new Point(10, 10), new Point(5, 4));
assertFalse(Imgproc.isContourConvex(contour1));
Mat contour2 = new Mat(1, 2, CvType.CV_32FC2);
contour2.put(0, 0, 1.0, 1.0, 5.0, 1.0);
assertFalse(Imgproc.isContourConvex(contour2));
List<Point> contour2 = Arrays.asList(new Point(0, 0), new Point(10, 0), new Point(10, 10), new Point(5, 6));
assertTrue(Imgproc.isContourConvex(contour2));
}
public void testLaplacianMatMatInt() {
Imgproc.Laplacian(gray0, dst, CvType.CV_8U);
assertMatEqual(gray0, dst);
}
public void testLaplacianMatMatIntInt() {
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));
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2));
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(0));
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1);
assertMatEqual(truth, dst, EPS);
}
public void testLaplacianMatMatIntIntDouble() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, -8, 8);
truth.put(1, 0, 8, -8);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
{
put(0, 0, -8, 8);
put(1, 0, 8, -8);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testLaplacianMatMatIntIntDoubleDouble() {
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, EPS);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, EPS);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
{
put(0, 0, -7.9990001, 8.0009995);
put(1, 0, 8.0009995, -7.9990001);
}
};
assertMatEqual(truth, dst, EPS);
}
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(0.00099945068));
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2));
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2, EPS, Imgproc.BORDER_REFLECT);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, EPS, Imgproc.BORDER_REFLECT);
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(0.00099945068));
assertMatEqual(truth, dst, EPS);
}
public void testMatchShapes() {
Mat contour1 = new Mat(1, 4, CvType.CV_32FC2);
Mat contour2 = new Mat(1, 4, CvType.CV_32FC2);
contour1.put(0, 0, 1, 1, 5, 1, 4, 3, 6, 2);
contour2.put(0, 0, 1, 1, 6, 1, 4, 1, 2, 5);
contour1.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
contour2.put(0, 0, 1.0, 1.0, 6.0, 1.0, 4.0, 1.0, 2.0, 5.0);
double distance = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1);
double comparer = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1.0);
double truthComparer = 2.98;
assertEquals(truthComparer, comparer, weakEPS);
assertEquals(2.81109697365334, distance, EPS);
}
public void testMatchTemplate() {
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);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(70));
Imgproc.matchTemplate(image, templ, dst, Imgproc.TM_CCORR);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(70));
assertMatEqual(truth, dst, EPS);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
Imgproc.matchTemplate(gray255, gray0, dst, Imgproc.TM_CCORR);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
......@@ -1479,15 +1557,16 @@ public class ImgprocTest extends OpenCVTestCase {
Imgproc.medianBlur(gray2, dst, 3);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testMinAreaRect() {
Mat points = new Mat(1, 4, CvType.CV_32FC2);
points.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
List<Point> points = Arrays.asList(new Point(1, 1), new Point(5, 1), new Point(4, 3), new Point(6, 2));
RotatedRect rrect = Imgproc.minAreaRect(points);
assertEquals(new Size(2, 5), rrect.size);
assertEquals(-90.0, rrect.angle);
assertEquals(-90., rrect.angle);
assertEquals(new Point(3.5, 2), rrect.center);
}
......@@ -1498,16 +1577,13 @@ public class ImgprocTest extends OpenCVTestCase {
points.add(new Point(0, -1));
points.add(new Point(1, 0));
points.add(new Point(0, 1));
Point actualCenter = new Point();
float[] radius = new float[] { 347.0f };
Imgproc.minEnclosingCircle(points, actualCenter, radius);
float[] radius = new float[1];
Point truthCenter = new Point(0, 0);
assertEquals(truthCenter, actualCenter);
Imgproc.minEnclosingCircle(points, actualCenter, radius);
float truthRadius = 1.0f;
assertEquals(truthRadius, radius[0], weakEPS);
assertEquals(new Point(0, 0), actualCenter);
assertEquals(1.03f, radius[0], EPS);
}
public void testMomentsMat() {
......@@ -1520,19 +1596,21 @@ public class ImgprocTest extends OpenCVTestCase {
public void testMorphologyExMatMatIntMat() {
Imgproc.morphologyEx(gray255, dst, Imgproc.MORPH_GRADIENT, gray0);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testMorphologyExMatMatIntMatPoint() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
Mat kernel = new Mat(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(0));
Point point = new Point(0, 0);
truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_OPEN, kernel, point);
truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
assertMatEqual(truth, dst);
// TODO_: write better test
}
public void testMorphologyExMatMatIntMatPointInt() {
......@@ -1542,22 +1620,27 @@ public class ImgprocTest extends OpenCVTestCase {
Point point = new Point(0, 0);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_CLOSE, kernel, point, 10);
truth = Mat.eye(imgprocSz, imgprocSz, CvType.CV_8U);
assertMatEqual(truth, dst);
// TODO_: write better test
}
public void testMorphologyExMatMatIntMatPointIntInt() {
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(imgprocSz, imgprocSz, CvType.CV_8U, new Scalar(1));
Point point = new Point(1, 1);
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);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8U) {
{
put(0, 0, 1, 0);
put(1, 0, 1, 0);
}
};
assertMatEqual(truth, dst);
}
......@@ -1571,102 +1654,106 @@ public class ImgprocTest extends OpenCVTestCase {
Scalar sc = new Scalar(3, 3);
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);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8U) {
{
put(0, 0, 1, 0);
put(1, 0, 1, 0);
}
};
assertMatEqual(truth, dst);
// TODO_: write better test
}
public void testPointPolygonTest() {
Mat contour1 = new Mat(1, 5, CvType.CV_32FC2);
contour1.put(0, 0, 0.0, 0.0, 1.0, 3.0, 3.0, 4.0, 4.0, 3.0, 2.0, 1.0);
Point pt1 = new Point(contour1.cols() / 2, contour1.rows() / 2);
double sign1 = Imgproc.pointPolygonTest(contour1, pt1, false);
assertTrue(sign1 < 0);
List<Point> contour = Arrays.asList(new Point(0, 0), new Point(1, 3), new Point(3, 4), new Point(4, 3), new Point(2, 1));
Mat contour2 = new Mat(1, 3, CvType.CV_32FC2);
contour2.put(0, 0, 0.0, 0.0, 2.0, 0.0, 1.0, 3.0);
Point pt2 = new Point(1, 1);
double sign1 = Imgproc.pointPolygonTest(contour, new Point(2, 2), false);
assertEquals(100.0, sign1); //FIXME: 1.0 should be expected
double sign2 = Imgproc.pointPolygonTest(contour2, pt2, false);
assertEquals(100.0, sign2);
double sign2 = Imgproc.pointPolygonTest(contour, new Point(4, 4), true);
assertEquals(-Math.sqrt(0.5), sign2);
}
public void testPreCornerDetectMatMatInt() {
Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
int ksize = 3;
Imgproc.preCornerDetect(src, dst, ksize);
truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testPreCornerDetectMatMatIntInt() {
Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
int ksize = 3;
Imgproc.preCornerDetect(src, dst, ksize, Imgproc.BORDER_REFLECT);
truth = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
// TODO_: write better test
}
public void testPyrDownMatMat() {
Mat src = new Mat(4, 4, 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);
Mat src = new Mat(4, 4, CvType.CV_32F) {
{
put(0, 0, 2, 1, 4, 2);
put(1, 0, 3, 2, 6, 8);
put(2, 0, 4, 6, 8, 10);
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);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
{
put(0, 0, 2.78125, 4.609375);
put(1, 0, 8.546875, 8.8515625);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testPyrDownMatMatSize() {
Mat src = new Mat(4, 4, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
Mat src = new Mat(4, 4, CvType.CV_32F) {
{
put(0, 0, 2, 1, 4, 2);
put(1, 0, 3, 2, 6, 8);
put(2, 0, 4, 6, 8, 10);
put(3, 0, 12, 32, 6, 18);
}
};
Size dstSize = new Size(2, 2);
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);
truth.put(0, 0, 2.78125, 4.609375);
truth.put(1, 0, 8.546875, 8.8515625);
Imgproc.pyrDown(src, dst, dstSize);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F) {
{
put(0, 0, 2.78125, 4.609375);
put(1, 0, 8.546875, 8.8515625);
}
};
assertMatEqual(truth, dst, EPS);
// TODO_: write better test
}
public void testPyrMeanShiftFilteringMatMatDoubleDouble() {
Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(0.0));
Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(0));
Imgproc.pyrMeanShiftFiltering(src, dst, 10.0, 50.0);
truth = src.clone();
assertMatEqual(truth, dst);
Imgproc.pyrMeanShiftFiltering(src, dst, 10, 50);
assertMatEqual(src, dst);
// TODO_: write better test
}
public void testPyrMeanShiftFilteringMatMatDoubleDoubleInt() {
Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(255.0));
Imgproc.pyrMeanShiftFiltering(src, dst, 10.0, 50.0, 2);
truth = src.clone();
assertMatEqual(truth, dst);
fail("Not yet implemented");
}
public void testPyrMeanShiftFilteringMatMatDoubleDoubleIntTermCriteria() {
Mat src = new Mat(matSize, matSize, CvType.CV_8UC3, new Scalar(255.0));
TermCriteria criteria = new TermCriteria(2 /* TODO: CV_TERMCRIT_EPS */, 0, 0.01);
Imgproc.pyrMeanShiftFiltering(src, dst, 10.0, 10.0, 3, criteria);
truth = src.clone();
assertMatEqual(truth, dst);
fail("Not yet implemented");
}
public void testPyrUpMatMat() {
......@@ -1674,53 +1761,48 @@ public class ImgprocTest extends OpenCVTestCase {
src.put(0, 0, 2, 1);
src.put(1, 0, 3, 2);
truth = new Mat(4, 4, CvType.CV_32F);
truth.put(0, 0, 2, 1.75, 1.375, 1.25);
truth.put(1, 0, 2.25, 2, 1.625, 1.5);
truth.put(2, 0, 2.5, 2.25, 1.875, 1.75);
truth.put(3, 0, 2.25, 2, 1.625, 1.5);
Imgproc.pyrUp(src, dst);
truth = new Mat(4, 4, CvType.CV_32F) {
{
put(0, 0, 2, 1.75, 1.375, 1.25);
put(1, 0, 2.25, 2, 1.625, 1.5);
put(2, 0, 2.5, 2.25, 1.875, 1.75);
put(3, 0, 2.25, 2, 1.625, 1.5);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testPyrUpMatMatSize() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
src.put(0, 0, 2, 1);
src.put(1, 0, 3, 2);
Size dstSize = new Size(4, 4);
truth = new Mat(4, 4, CvType.CV_32F);
truth.put(0, 0, 2, 1.75, 1.375, 1.25);
truth.put(1, 0, 2.25, 2, 1.625, 1.5);
truth.put(2, 0, 2.5, 2.25, 1.875, 1.75);
truth.put(3, 0, 2.25, 2, 1.625, 1.5);
Imgproc.pyrUp(src, dst, dstSize);
assertMatEqual(truth, dst, EPS);
fail("Not yet implemented");
}
public void testRemapMatMatMatMatInt() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
fail("Not yet implemented");
// this test does something weird
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
map1.put(0, 0, 3.0, 6.0, 5, 0);
map2.put(0, 0, 4.0, 8.0, 12.0);
truth = new Mat(1, 3, CvType.CV_32F, new Scalar(0));
map1.put(0, 0, 3, 6, 5);
map2.put(0, 0, 4, 8, 12);
Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR);
truth = new Mat(1, 3, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testRemapMatMatMatMatIntInt() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
fail("Not yet implemented");
// this test does something weird
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
map1.put(0, 0, 3.0, 6.0, 5, 0);
map2.put(0, 0, 4.0, 8.0, 12.0);
map1.put(0, 0, 3, 6, 5, 0);
map2.put(0, 0, 4, 8, 12);
truth = new Mat(1, 3, CvType.CV_32F, new Scalar(2));
......@@ -1729,14 +1811,16 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testRemapMatMatMatMatIntIntScalar() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
fail("Not yet implemented");
// this test does something weird
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
Scalar sc = new Scalar(0.0);
Scalar sc = new Scalar(0);
map1.put(0, 0, 3.0, 6.0, 5, 0);
map2.put(0, 0, 4.0, 8.0, 12.0);
map1.put(0, 0, 3, 6, 5, 0);
map2.put(0, 0, 4, 8, 12);
truth = new Mat(1, 3, CvType.CV_32F, new Scalar(2));
......@@ -1745,392 +1829,373 @@ public class ImgprocTest extends OpenCVTestCase {
}
public void testResizeMatMatSize() {
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));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(1));
Size dsize = new Size(1, 1);
Imgproc.resize(src, dst, dsize);
truth = new Mat(1, 1, CvType.CV_8UC1, new Scalar(1));
assertMatEqual(truth, dst);
}
public void testResizeMatMatSizeDouble() {
Size dsize = new Size(2, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, dsize, 0.5);
assertMatEqual(truth, dst);
try {
Imgproc.resize(gray255, dst, new Size(), 0.5);
fail("Expected CvException was not thrown");
} catch (CvException e) {
// expected
}
}
public void testResizeMatMatSizeDoubleDouble() {
Size dsize = new Size(2, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, new Size(), 0.5, 0.5);
OpenCVTestRunner.Log(dst);
Imgproc.resize(gray255, dst, dsize, 0.0, 0.0);
truth = new Mat((int) (matSize * 0.5), (int) (matSize * 0.5), CvType.CV_8U, new Scalar(255));
assertMatEqual(truth, dst);
}
public void testResizeMatMatSizeDoubleDoubleInt() {
Size dsize = new Size(2, 2);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(255));
Imgproc.resize(gray255, dst, new Size(2, 2), 0, 0, Imgproc.INTER_AREA);
Imgproc.resize(gray255, dst, dsize, 1.5, 1.5, Imgproc.INTER_AREA);
truth = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
assertMatEqual(truth, dst);
// TODO_: write better test
}
public void testScharrMatMatIntIntInt() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testScharrMatMatIntIntIntDouble() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
Imgproc.Scharr(src, dst, CvType.CV_32F, 0, 1, 1.5);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
// TODO_: write better test
}
public void testScharrMatMatIntIntIntDoubleDouble() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
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);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(0.001));
assertMatEqual(truth, dst, EPS);
}
public void testScharrMatMatIntIntIntDoubleDoubleInt() {
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);
truth.put(1, 0, 10.5, 0, -10.5);
truth.put(2, 0, 4.5, 19.5, 15);
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0, Imgproc.BORDER_REFLECT);
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.0, Imgproc.BORDER_REFLECT);
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, -15, -19.5, -4.5);
put(1, 0, 10.5, 0, -10.5);
put(2, 0, 4.5, 19.5, 15);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testSepFilter2DMatMatIntMatMat() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(2));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
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);
kernelX.put(0, 0, 4, 3, 7);
kernelY.put(0, 0, 9, 4, 2);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(420));
assertMatEqual(truth, dst, EPS);
}
public void testSepFilter2DMatMatIntMatMatPoint() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
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);
kernelX.put(0, 0, 2, 2, 2);
kernelY.put(0, 0, 1, 1, 1);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36));
assertMatEqual(truth, dst, EPS);
// TODO_: write better test
}
public void testSepFilter2DMatMatIntMatMatPointDouble() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2.0));
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(2));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
kernelX.put(0, 0, 2.0, 2.0, 2.0);
kernelX.put(0, 0, 2, 2, 2);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
kernelY.put(0, 0, 1.0, 1.0, 1.0);
kernelY.put(0, 0, 1, 1, 1);
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, weakEPS);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36.001));
Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, EPS);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F, new Scalar(36 + weakEPS));
assertMatEqual(truth, dst, EPS);
}
public void testSepFilter2DMatMatIntMatMatPointDoubleInt() {
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
kernelX.put(0, 0, 2.0, 2.0, 2.0);
kernelX.put(0, 0, 2, 2, 2);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
kernelY.put(0, 0, 1.0, 1.0, 1.0);
kernelY.put(0, 0, 1, 1, 1);
truth = new Mat(10, 10, CvType.CV_32F, new Scalar(0.001));
Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, EPS, Imgproc.BORDER_REFLECT);
Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, weakEPS, Imgproc.BORDER_REFLECT);
truth = new Mat(10, 10, CvType.CV_32F, new Scalar(weakEPS));
assertMatEqual(truth, dst, EPS);
// TODO_: write better test
}
public void testSobelMatMatIntIntInt() {
Imgproc.Sobel(gray0, dst, CvType.CV_8U, 2, 0);
Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0);
assertMatEqual(gray0, dst);
}
public void testSobelMatMatIntIntIntInt() {
Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testSobelMatMatIntIntIntIntDouble() {
Mat src = new Mat(3, 3, CvType.CV_32F);
src.put(0, 0, 2, 0, 1);
src.put(1, 0, 3, 0, -10);
src.put(2, 0, -4, 0, 3);
truth = new Mat(3, 3, CvType.CV_32F);
truth.put(0, 0, 0, -56, 0);
truth.put(1, 0, 0, -40, 0);
truth.put(2, 0, 0, -24, 0);
Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2.0);
Mat src = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 2, 0, 1);
put(1, 0, 3, 0, -10);
put(2, 0, -4, 0, 3);
}
};
Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2);
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 0, -56, 0);
put(1, 0, 0, -40, 0);
put(2, 0, 0, -24, 0);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testSobelMatMatIntIntIntIntDoubleDouble() {
Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3, 2.0, 0.001);
Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3, 2, 0.001);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testSobelMatMatIntIntIntIntDoubleDoubleInt() {
Mat src = new Mat(3, 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, -16, -12, 4);
truth.put(1, 0, -14, -12, 2);
truth.put(2, 0, -10, 0, 10);
Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2.0, 0.0, Imgproc.BORDER_REPLICATE);
Mat src = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 2, 0, 1);
put(1, 0, 6, 4, 3);
put(2, 0, 1, 0, 2);
}
};
Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2, 0, Imgproc.BORDER_REPLICATE);
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, -16, -12, 4);
put(1, 0, -14, -12, 2);
put(2, 0, -10, 0, 10);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testThreshold() {
Imgproc.threshold(gray0, dst, 0.25, 255.0, Imgproc.THRESH_TRUNC);
assertMatEqual(gray0, dst);
Imgproc.threshold(makeMask(gray0.clone(), 10), dst, 5, 255, Imgproc.THRESH_TRUNC);
assertMatEqual(makeMask(gray0.clone(), 5), dst);
Imgproc.threshold(gray1, dst, 0.25, 255.0, Imgproc.THRESH_BINARY);
Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 1, 255, Imgproc.THRESH_BINARY);
assertMatEqual(gray255, dst);
Imgproc.threshold(gray0, dst, 0.25, 255.0, Imgproc.THRESH_BINARY_INV);
assertMatEqual(gray255, dst);
Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 3, 255, Imgproc.THRESH_BINARY_INV);
assertMatEqual(makeMask(gray255.clone(), 0), dst);
}
public void testUndistortMatMatMatMat() {
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
truth = new Mat(3, 3, CvType.CV_32F);
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
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, 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);
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 1, 0, 1);
put(1, 0, 0, 1, 2);
put(2, 0, 0, 0, 1);
}
};
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F) {
{
put(0, 0, 1, 3, 2, 4);
}
};
Imgproc.undistort(src, dst, cameraMatrix, distCoeffs);
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 0, 0, 0);
put(1, 0, 0, 0, 0);
put(2, 0, 0, 3, 0);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testUndistortMatMatMatMatMat() {
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, new Scalar(1.0));
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 1, 0, 1);
put(1, 0, 0, 1, 2);
put(2, 0, 0, 0, 1);
}
};
Mat distCoeffs = new Mat(1, 4, CvType.CV_32F) {
{
put(0, 0, 2, 1, 4, 5);
}
};
Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(1));
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, 2.0, 1.0, 4.0, 5.0);
Imgproc.undistort(src, dst, cameraMatrix, distCoeffs, newCameraMatrix);
truth = new Mat(3, 3, CvType.CV_32F, new Scalar(3));
Imgproc.undistort(src, dst, cameraMatrix, distCoeffs, newCameraMatrix);
assertMatEqual(truth, dst, EPS);
}
public void testWarpAffineMatMatMatSize() {
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);
M.put(0, 0, 1, 0, 1);
M.put(1, 0, 0, 1, 1);
Imgproc.warpAffine(src, dst, M, size);
Mat src = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 2, 0, 1);
put(1, 0, 6, 4, 3);
put(2, 0, 1, 0, 2);
}
};
Mat M = new Mat(2, 3, CvType.CV_32F) {
{
put(0, 0, 1, 0, 1);
put(1, 0, 0, 1, 1);
}
};
Imgproc.warpAffine(src, dst, M, new Size(3, 3));
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 0, 0, 0);
put(1, 0, 0, 2, 0);
put(2, 0, 0, 6, 4);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testWarpAffineMatMatMatSizeInt() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(2, 2);
Mat M = new Mat(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);
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);
Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP);
Mat src = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 2, 4, 1);
put(1, 0, 6, 4, 3);
put(2, 0, 0, 2, 2);
}
};
Mat M = new Mat(2, 3, CvType.CV_32F) {
{
put(0, 0, 1, 0, 0);
put(1, 0, 0, 0, 1);
}
};
Imgproc.warpAffine(src, dst, M, new Size(2, 2), Imgproc.WARP_INVERSE_MAP);
truth = new Mat(2, 2, CvType.CV_32F) {
{
put(0, 0, 6, 4);
put(1, 0, 6, 4);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testWarpAffineMatMatMatSizeIntInt() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(2, 2);
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);
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);
assertMatEqual(truth, dst, EPS);
fail("Not yet implemented");
}
public void testWarpAffineMatMatMatSizeIntIntScalar() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Size dsize = new Size(2, 2);
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);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
truth.put(0, 0, 6, 4);
truth.put(1, 0, 6, 4);
Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_CONSTANT, sc);
assertMatEqual(truth, dst, EPS);
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSize() {
Mat src = new Mat(3, 3, CvType.CV_32F);
Mat M = new Mat(3, 3, CvType.CV_32F);
src.put(0, 0, 2, 4, 1);
src.put(1, 0, 0, 4, 5);
src.put(2, 0, 1, 2, 2);
M.put(0, 0, 1, 0, 1);
M.put(1, 0, 0, 1, 1);
M.put(2, 0, 0, 0, 1);
truth = new Mat(3, 3, CvType.CV_32F);
truth.put(0, 0, 0, 0, 0);
truth.put(1, 0, 0, 2, 4);
truth.put(2, 0, 0, 0, 4);
Imgproc.warpPerspective(src, dst, M, size);
Mat src = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 2, 4, 1);
put(1, 0, 0, 4, 5);
put(2, 0, 1, 2, 2);
}
};
Mat M = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 1, 0, 1);
put(1, 0, 0, 1, 1);
put(2, 0, 0, 0, 1);
}
};
Imgproc.warpPerspective(src, dst, M, new Size(3, 3));
truth = new Mat(3, 3, CvType.CV_32F) {
{
put(0, 0, 0, 0, 0);
put(1, 0, 0, 2, 4);
put(2, 0, 0, 0, 4);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testWarpPerspectiveMatMatMatSizeInt() {
Mat src = new Mat(3, 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);
Size dsize = new Size(2, 2);
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(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, EPS);
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSizeIntInt() {
Mat src = new Mat(3, 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);
Size dsize = new Size(2, 2);
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(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);
assertMatEqual(truth, dst, EPS);
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSizeIntIntScalar() {
Mat src = new Mat(3, 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);
Size dsize = new Size(2, 2);
Mat M = Mat.eye(3, 3, CvType.CV_32F);
Scalar sc = new Scalar(1.0);
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, EPS);
fail("Not yet implemented");
}
public void testWatershed() {
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);
truth = new Mat(4, 4, CvType.CV_32SC1) {
{
put(0, 0, -1, -1, -1, -1);
put(1, 0, -1, 0, 0, -1);
put(2, 0, -1, 0, 0, -1);
put(3, 0, -1, -1, -1, -1);
}
};
assertMatEqual(truth, markers);
}
......
modules/java/gen_java.py
View file @ 99e3b5a2
......@@ -688,6 +688,13 @@ func_arg_fix = {
'fillPoly' : { 'pts' : 'vector_vector_Point', },
'polylines' : { 'pts' : 'vector_vector_Point', },
'fillConvexPoly' : { 'points' : 'vector_Point', },
'boundingRect' : { 'points' : 'vector_Point', },
#'approxPolyDP' : { 'curve' : 'vector_Point2f', 'CV_OUT approxCurve' : 'vector_Point2f', },
'arcLength' : { 'curve' : 'vector_Point2f', },
'isContourConvex' : { 'contour' : 'vector_Point2f', },
'pointPolygonTest' : { 'contour' : 'vector_Point2f', },
'minAreaRect' : { 'points' : 'vector_Point2f', },
'getAffineTransform' : { 'src' : 'vector_Point2f', 'dst' : 'vector_Point2f', },
}, # '', i.e. no class
} # func_arg_fix
......
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