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8f1f4273a2
opencv/modules/imgproc/misc/java/test/ImgprocTest.java
Alexander Alekhin 8f1f4273a2 calib3d: move undistort files from imgproc
2018-10-05 07:52:21 +00:00

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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.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfInt4;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.RotatedRect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.core.TermCriteria;
import org.opencv.imgproc.Imgproc;
import org.opencv.test.OpenCVTestCase;
public class ImgprocTest extends OpenCVTestCase {
Point anchorPoint;
private int imgprocSz;
Size size;
@Override
protected void setUp() throws Exception {
super.setUp();
imgprocSz = 2;
anchorPoint = new Point(2, 2);
size = new Size(3, 3);
}
public void testAccumulateMatMat() {
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);
assertMatEqual(src, dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 4), dst2, EPS);
}
public void testAccumulateMatMatMat() {
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 src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
Imgproc.accumulateProduct(src, src, dst);
Imgproc.accumulateProduct(src, dst, dst2);
assertMatEqual(getMat(CvType.CV_64F, 4), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 10), dst2, EPS);
}
public void testAccumulateProductMatMatMatMat() {
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.accumulateProduct(src, src, dst, mask);
Imgproc.accumulateProduct(src, dst, dst2, mask);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 10), 2), dst2, EPS);
}
public void testAccumulateSquareMatMat() {
Mat src = getMat(CvType.CV_64F, 2);
Mat dst = getMat(CvType.CV_64F, 0);
Mat dst2 = src.clone();
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() {
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);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 4)), dst, EPS);
assertMatEqual(makeMask(getMat(CvType.CV_64F, 6), 2), dst2, EPS);
}
public void testAccumulateWeightedMatMatDouble() {
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);
assertMatEqual(getMat(CvType.CV_64F, 3), dst, EPS);
assertMatEqual(getMat(CvType.CV_64F, 2), dst2, EPS);
}
public void testAccumulateWeightedMatMatDoubleMat() {
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() {
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() {
MatOfPoint2f curve = new MatOfPoint2f(new Point(1, 3), new Point(2, 4), new Point(3, 5), new Point(4, 4), new Point(5, 3));
MatOfPoint2f approxCurve = new MatOfPoint2f();
Imgproc.approxPolyDP(curve, approxCurve, EPS, true);
List<Point> approxCurveGold = new ArrayList<Point>(3);
approxCurveGold.add(new Point(1, 3));
approxCurveGold.add(new Point(3, 5));
approxCurveGold.add(new Point(5, 3));
assertListPointEquals(approxCurve.toList(), approxCurveGold, EPS);
}
public void testArcLength() {
MatOfPoint2f curve = new MatOfPoint2f(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);
assertEquals(5.656854249, arcLength, 0.000001);
}
public void testBilateralFilterMatMatIntDoubleDouble() {
Imgproc.bilateralFilter(gray255, dst, 5, 10, 5);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBilateralFilterMatMatIntDoubleDoubleInt() {
Imgproc.bilateralFilter(gray255, dst, 5, 10, 5, Core.BORDER_REFLECT);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testBlurMatMatSize() {
Imgproc.blur(gray0, dst, size);
assertMatEqual(gray0, dst);
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, Core.BORDER_REFLECT);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testBoundingRect() {
MatOfPoint points = new MatOfPoint(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));
}
public void testBoxFilterMatMatIntSize() {
Size size = new Size(3, 3);
Imgproc.boxFilter(gray0, dst, 8, size);
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, Core.BORDER_REFLECT);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testCalcBackProject() {
List<Mat> images = Arrays.asList(grayChess);
MatOfInt channels = new MatOfInt(0);
MatOfInt histSize = new MatOfInt(10);
MatOfFloat ranges = new MatOfFloat(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);
assertEquals(grayChess.size(), dst.size());
assertEquals(grayChess.depth(), dst.depth());
assertFalse(0 == Core.countNonZero(dst));
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat() {
List<Mat> images = Arrays.asList(gray128);
MatOfInt channels = new MatOfInt(0);
MatOfInt histSize = new MatOfInt(10);
MatOfFloat ranges = new MatOfFloat(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() {
List<Mat> images = Arrays.asList(gray255, gray128);
MatOfInt channels = new MatOfInt(0, 1);
MatOfInt histSize = new MatOfInt(10, 10);
MatOfFloat ranges = new MatOfFloat(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 testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat3D() {
List<Mat> images = Arrays.asList(rgbLena);
Mat hist3D = new Mat();
List<Mat> histList = Arrays.asList( new Mat[] {new Mat(), new Mat(), new Mat()} );
MatOfInt histSize = new MatOfInt(10);
MatOfFloat ranges = new MatOfFloat(0f, 256f);
for(int i=0; i<rgbLena.channels(); i++)
{
Imgproc.calcHist(images, new MatOfInt(i), new Mat(), histList.get(i), histSize, ranges);
assertEquals(10, histList.get(i).checkVector(1));
}
Core.merge(histList, hist3D);
assertEquals(CvType.CV_32FC3, hist3D.type());
assertEquals(10, hist3D.checkVector(3));
Mat truth = new Mat(10, 1, CvType.CV_32FC3);
truth.put(0, 0,
0, 24870, 0,
1863, 31926, 1,
56682, 37677, 2260,
77278, 44751, 32436,
69397, 41343, 18526,
27180, 40407, 18658,
21101, 15993, 32042,
8343, 18585, 47786,
300, 6567, 80988,
0, 25, 29447
);
assertMatEqual(truth, hist3D, EPS);
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloatBoolean() {
List<Mat> images = Arrays.asList(gray255, gray128);
MatOfInt channels = new MatOfInt(0, 1);
MatOfInt histSize = new MatOfInt(10, 10);
MatOfFloat ranges = new MatOfFloat(0f, 256f, 0f, 256f);
Mat hist = new Mat();
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, 10);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testCannyMatMatDoubleDoubleIntBoolean() {
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 distance = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
assertEquals(1., distance, EPS);
}
public void testContourAreaMat() {
Mat contour = new Mat(1, 4, CvType.CV_32FC2);
contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
double area = Imgproc.contourArea(contour);
assertEquals(45., area, EPS);
}
public void testContourAreaMatBoolean() {
Mat contour = new Mat(1, 4, CvType.CV_32FC2);
contour.put(0, 0, 0, 0, 10, 0, 10, 10, 5, 4);
double area = Imgproc.contourArea(contour, true);
assertEquals(45., area, EPS);
// TODO_: write better test
}
public void testConvertMapsMatMatMatMatInt() {
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));
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() {
MatOfPoint points = new MatOfPoint(
new Point(20, 0),
new Point(40, 0),
new Point(30, 20),
new Point(0, 20),
new Point(20, 10),
new Point(30, 10)
);
MatOfInt hull = new MatOfInt();
Imgproc.convexHull(points, hull);
MatOfInt expHull = new MatOfInt(
1, 2, 3, 0
);
assertMatEqual(expHull, hull, EPS);
}
public void testConvexHullMatMatBooleanBoolean() {
MatOfPoint points = new MatOfPoint(
new Point(2, 0),
new Point(4, 0),
new Point(3, 2),
new Point(0, 2),
new Point(2, 1),
new Point(3, 1)
);
MatOfInt hull = new MatOfInt();
Imgproc.convexHull(points, hull, true);
MatOfInt expHull = new MatOfInt(
3, 2, 1, 0
);
assertMatEqual(expHull, hull, EPS);
}
public void testConvexityDefects() {
MatOfPoint points = new MatOfPoint(
new Point(20, 0),
new Point(40, 0),
new Point(30, 20),
new Point(0, 20),
new Point(20, 10),
new Point(30, 10)
);
MatOfInt hull = new MatOfInt();
Imgproc.convexHull(points, hull);
MatOfInt4 convexityDefects = new MatOfInt4();
Imgproc.convexityDefects(points, hull, convexityDefects);
assertMatEqual(new MatOfInt4(3, 0, 5, 3620), convexityDefects);
}
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);
int blockSize = 3;
int ksize = 5;
// TODO: eigen vals and vectors returned = 0 for most src matrices
Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC(6), new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
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;
int ksize = 5;
truth = new Mat(4, 4, CvType.CV_32FC(6), new Scalar(0));
Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize, Core.BORDER_REFLECT);
assertMatEqual(truth, dst, EPS);
}
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;
double k = 0.1;
Imgproc.cornerHarris(gray128, dst, blockSize, ksize, k);
assertMatEqual(truth, dst, EPS);
}
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;
double k = 0.1;
Imgproc.cornerHarris(gray255, dst, blockSize, ksize, k, Core.BORDER_REFLECT);
assertMatEqual(truth, dst, EPS);
}
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);
int blockSize = 5;
Imgproc.cornerMinEigenVal(src, dst, blockSize);
truth = new Mat(imgprocSz, imgprocSz, CvType.CV_32FC1, new Scalar(0));
assertMatEqual(truth, dst, EPS);
Imgproc.cornerMinEigenVal(gray255, dst, blockSize);
truth = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testCornerMinEigenValMatMatIntInt() {
Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
int blockSize = 3;
int ksize = 5;
Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize);
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);
}
public void testCornerMinEigenValMatMatIntIntInt() {
Mat src = Mat.eye(3, 3, CvType.CV_32FC1);
int blockSize = 3;
int ksize = 5;
Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize, Core.BORDER_REFLECT);
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);
Imgproc.rectangle(img, r.tl(), r.br(), new Scalar(0), Imgproc.FILLED);
MatOfPoint2f corners = new MatOfPoint2f(new Point(truthPosition.x + 1, truthPosition.y + 1));
Size winSize = new Size(2, 2);
Size zeroZone = new Size(-1, -1);
TermCriteria criteria = new TermCriteria(TermCriteria.EPS, 0, 0.01);
Imgproc.cornerSubPix(img, corners, winSize, zeroZone, criteria);
assertPointEquals(truthPosition, corners.toList().get(0), weakEPS);
}
public void testCvtColorMatMatInt() {
fail("Not yet implemented");
}
public void testCvtColorMatMatIntInt() {
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() {
fail("Not yet implemented");
}
public void testDilateMatMatMatPointInt() {
fail("Not yet implemented");
}
public void testDilateMatMatMatPointIntInt() {
fail("Not yet implemented");
}
public void testDilateMatMatMatPointIntIntScalar() {
fail("Not yet implemented");
}
public void testDistanceTransformWithLabels() {
Mat dstLables = getMat(CvType.CV_32SC1, 0);
Mat labels = new Mat();
Imgproc.distanceTransformWithLabels(gray128, dst, labels, Imgproc.CV_DIST_L2, 3);
assertMatEqual(dstLables, labels);
assertMatEqual(getMat(CvType.CV_32FC1, 8192), dst, EPS);
}
public void testDrawContoursMatListOfMatIntScalar() {
Imgproc.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(gray0, contours, -1, new Scalar(0));
assertEquals(0, Core.countNonZero(gray0));
}
public void testDrawContoursMatListOfMatIntScalarInt() {
Imgproc.rectangle(gray0, new Point(1, 2), new Point(7, 8), new Scalar(100));
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.findContours(gray0, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(gray0, contours, -1, new Scalar(0), Imgproc.FILLED);
assertEquals(0, Core.countNonZero(gray0));
}
public void testDrawContoursMatListOfMatIntScalarIntIntMatIntPoint() {
fail("Not yet implemented");
}
public void testEqualizeHist() {
Imgproc.equalizeHist(gray0, dst);
assertMatEqual(gray0, dst);
Imgproc.equalizeHist(gray255, dst);
assertMatEqual(gray255, dst);
// TODO_: write better test
}
public void testErodeMatMatMat() {
Mat kernel = new Mat();
Imgproc.erode(gray128, dst, kernel);
assertMatEqual(gray128, dst);
}
public void testErodeMatMatMatPointInt() {
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));
assertMatEqual(truth, dst);
}
public void testErodeMatMatMatPointIntIntScalar() {
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, Core.BORDER_REFLECT, sc);
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));
Imgproc.filter2D(src, dst, -1, kernel);
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 testFilter2DMatMatIntMatPointDouble() {
fail("Not yet implemented");
}
public void testFilter2DMatMatIntMatPointDoubleInt() {
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, Core.BORDER_CONSTANT);
assertMatEqual(gray2, dst);
}
public void testFindContoursMatListOfMatMatIntInt() {
Mat img = new Mat(50, 50, CvType.CV_8UC1, new Scalar(0));
List<MatOfPoint> contours = new ArrayList<MatOfPoint>(5);
Mat hierarchy = new Mat();
Imgproc.findContours(img, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
// no contours on empty image
assertEquals(contours.size(), 0);
assertEquals(contours.size(), hierarchy.total());
Imgproc.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Imgproc.LINE_AA, 0);
Imgproc.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);
// two contours of two rectangles
assertEquals(contours.size(), 2);
assertEquals(contours.size(), hierarchy.total());
}
public void testFindContoursMatListOfMatMatIntIntPoint() {
Mat img = new Mat(50, 50, CvType.CV_8UC1, new Scalar(0));
Mat img2 = img.submat(5, 50, 3, 50);
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
List<MatOfPoint> contours2 = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
Imgproc.rectangle(img, new Point(10, 20), new Point(20, 30), new Scalar(100), 3, Imgproc.LINE_AA, 0);
Imgproc.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));
assertEquals(contours.size(), contours2.size());
assertMatEqual(contours.get(0), contours2.get(0));
/*
Log.d("findContours", "hierarchy=" + hierarchy);
int iBuff[] = new int[ (int) (hierarchy.total() * hierarchy.channels()) ]; // [ Contour0 (next sibling num, previous sibling num, 1st child num, parent num), Contour1(...), ...
hierarchy.get(0, 0, iBuff);
Log.d("findContours", Arrays.toString(iBuff));
*/
}
public void testFitEllipse() {
MatOfPoint2f points = new MatOfPoint2f(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);
assertPointEquals(new Point(0, 0), rrect.center, EPS);
assertEquals(2.828, rrect.size.width, EPS);
assertEquals(2.828, rrect.size.height, EPS);
}
public void testFitLine() {
Mat points = new Mat(1, 4, CvType.CV_32FC2);
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);
Imgproc.fitLine(points, dst, Imgproc.CV_DIST_L12, 0, 0.01, 0.01);
assertMatEqual(linePoints, dst, EPS);
}
public void testFloodFillMatMatPointScalar() {
Mat mask = new Mat(matSize + 2, matSize + 2, CvType.CV_8U, new Scalar(0));
Mat img = gray0;
Imgproc.circle(mask, new Point(matSize / 2 + 1, matSize / 2 + 1), 3, new Scalar(2));
int retval = Imgproc.floodFill(img, mask, new Point(matSize / 2, matSize / 2), new Scalar(1));
assertEquals(Core.countNonZero(img), retval);
Imgproc.circle(mask, new Point(matSize / 2 + 1, matSize / 2 + 1), 3, new Scalar(0));
assertEquals(retval + 4 * (matSize + 1), Core.countNonZero(mask));
assertMatEqual(mask.submat(1, matSize + 1, 1, matSize + 1), img);
}
public void testFloodFillMatMatPointScalar_WithoutMask() {
Mat img = gray0;
Imgproc.circle(img, new Point(matSize / 2, matSize / 2), 3, new Scalar(2));
// TODO: ideally we should pass null instead of "new Mat()"
int retval = Imgproc.floodFill(img, new Mat(), new Point(matSize / 2, matSize / 2), new Scalar(1));
Imgproc.circle(img, new Point(matSize / 2, matSize / 2), 3, new Scalar(0));
assertEquals(Core.countNonZero(img), retval);
}
public void testFloodFillMatMatPointScalarRect() {
fail("Not yet implemented");
}
public void testFloodFillMatMatPointScalarRectScalar() {
fail("Not yet implemented");
}
public void testFloodFillMatMatPointScalarRectScalarScalar() {
fail("Not yet implemented");
}
public void testFloodFillMatMatPointScalarRectScalarScalarInt() {
fail("Not yet implemented");
}
public void testGaussianBlurMatMatSizeDouble() {
Imgproc.GaussianBlur(gray0, dst, size, 1);
assertMatEqual(gray0, dst);
Imgproc.GaussianBlur(gray2, dst, size, 1);
assertMatEqual(gray2, dst);
}
public void testGaussianBlurMatMatSizeDoubleDouble() {
Imgproc.GaussianBlur(gray2, dst, size, 0, 0);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testGaussianBlurMatMatSizeDoubleDoubleInt() {
Imgproc.GaussianBlur(gray2, dst, size, 1, 3, Core.BORDER_REFLECT);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testGetAffineTransform() {
MatOfPoint2f src = new MatOfPoint2f(new Point(2, 3), new Point(3, 1), new Point(1, 4));
MatOfPoint2f dst = new MatOfPoint2f(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 testGetDerivKernelsMatMatIntIntInt() {
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);
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);
}
public void testGetDerivKernelsMatMatIntIntIntBooleanInt() {
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);
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() {
dst = Imgproc.getGaussianKernel(1, 0.5);
truth = new Mat(1, 1, CvType.CV_64FC1, new Scalar(1));
assertMatEqual(truth, dst, EPS);
}
public void testGetGaussianKernelIntDoubleInt() {
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);
}
public void testGetPerspectiveTransform() {
fail("Not yet implemented");
}
public void testGetRectSubPixMatSizePointMat() {
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));
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() {
Point center = new Point(0, 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() {
dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size);
truth = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1));
assertMatEqual(truth, dst);
}
public void testGetStructuringElementIntSizePoint() {
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);
}
public void testGoodFeaturesToTrackMatListOfPointIntDoubleDouble() {
Mat src = gray0;
Imgproc.rectangle(src, new Point(2, 2), new Point(8, 8), new Scalar(100), -1);
MatOfPoint lp = new MatOfPoint();
Imgproc.goodFeaturesToTrack(src, lp, 100, 0.01, 3);
assertEquals(4, lp.total());
}
public void testGoodFeaturesToTrackMatListOfPointIntDoubleDoubleMatIntBooleanDouble() {
Mat src = gray0;
Imgproc.rectangle(src, new Point(2, 2), new Point(8, 8), new Scalar(100), -1);
MatOfPoint lp = new MatOfPoint();
Imgproc.goodFeaturesToTrack(src, lp, 100, 0.01, 3, gray1, 4, 3, true, 0);
assertEquals(4, lp.total());
}
public void testGrabCutMatMatRectMatMatInt() {
fail("Not yet implemented");
}
public void testGrabCutMatMatRectMatMatIntInt() {
fail("Not yet implemented");
}
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, 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);
Imgproc.circle(img, center, radius, colorBlack, 3);
Imgproc.HoughCircles(img, circles, Imgproc.CV_HOUGH_GRADIENT, 2, img.rows() / 4);
assertEquals(1, circles.cols());
}
public void testHoughCirclesMatMatIntDoubleDoubleDoubleDoubleIntInt() {
fail("Not yet implemented");
}
public void testHoughLinesMatMatDoubleDoubleInt() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(0));
Point point1 = new Point(50, 50);
Point point2 = new Point(img.cols() / 2, img.rows() / 2);
Imgproc.line(img, point1, point2, colorWhite, 1);
Mat lines = new Mat();
Imgproc.HoughLines(img, lines, 1, 3.1415926/180, 100);
assertEquals(1, lines.cols());
/*
Log.d("HoughLines", "lines=" + lines);
int num = (int)lines.total();
int buff[] = new int[num*4]; //[ (x1, y1, x2, y2), (...), ...]
lines.get(0, 0, buff);
Log.d("HoughLines", "lines=" + Arrays.toString(buff));
*/
}
public void testHoughLinesMatMatDoubleDoubleIntDouble() {
fail("Not yet implemented");
}
public void testHoughLinesMatMatDoubleDoubleIntDoubleDouble() {
fail("Not yet implemented");
}
public void testHoughLinesPMatMatDoubleDoubleInt() {
int sz = 512;
Mat img = new Mat(sz, sz, CvType.CV_8U, new Scalar(0));
Point point1 = new Point(0, 0);
Point point2 = new Point(sz, sz);
Point point3 = new Point(sz, 0);
Point point4 = new Point(2*sz/3, sz/3);
Imgproc.line(img, point1, point2, Scalar.all(255), 1);
Imgproc.line(img, point3, point4, Scalar.all(255), 1);
Mat lines = new Mat();
Imgproc.HoughLinesP(img, lines, 1, 3.1415926/180, 100);
assertEquals(2, lines.rows());
/*
Log.d("HoughLinesP", "lines=" + lines);
int num = (int)lines.cols();
int buff[] = new int[num*4]; // CV_32SC4 as [ (x1, y1, x2, y2), (...), ...]
lines.get(0, 0, buff);
Log.d("HoughLinesP", "lines=" + Arrays.toString(buff));
*/
}
public void testHoughLinesPMatMatDoubleDoubleIntDouble() {
fail("Not yet implemented");
}
public void testHoughLinesPMatMatDoubleDoubleIntDoubleDouble() {
fail("Not yet implemented");
}
public void testHuMoments() {
fail("Not yet implemented");
}
public void testIntegral2MatMatMat() {
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();
Mat sqsum = new Mat();
expSum.put(0, 0, 0, 0, 0, 0);
expSum.put(1, 0, 0, 3, 6, 9);
expSum.put(2, 0, 0, 6, 12, 18);
expSum.put(3, 0, 0, 9, 18, 27);
expSqsum.put(0, 0, 0, 0, 0, 0);
expSqsum.put(1, 0, 0, 9, 18, 27);
expSqsum.put(2, 0, 0, 18, 36, 54);
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));
Mat expSum = new Mat(4, 4, CvType.CV_64F);
Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
Mat sum = new Mat();
Mat sqsum = new Mat();
expSum.put(0, 0, 0, 0, 0, 0);
expSum.put(1, 0, 0, 3, 6, 9);
expSum.put(2, 0, 0, 6, 12, 18);
expSum.put(3, 0, 0, 9, 18, 27);
expSqsum.put(0, 0, 0, 0, 0, 0);
expSqsum.put(1, 0, 0, 9, 18, 27);
expSqsum.put(2, 0, 0, 18, 36, 54);
expSqsum.put(3, 0, 0, 27, 54, 81);
Imgproc.integral2(src, sum, sqsum, CvType.CV_64F, 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));
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();
expSum.put(0, 0, 0, 0);
expSum.put(1, 0, 0, 1);
expSqsum.put(0, 0, 0, 0);
expSqsum.put(1, 0, 0, 1);
expTilted.put(0, 0, 0, 0);
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));
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();
expSum.put(0, 0, 0, 0);
expSum.put(1, 0, 0, 1);
expSqsum.put(0, 0, 0, 0);
expSqsum.put(1, 0, 0, 1);
expTilted.put(0, 0, 0, 0);
expTilted.put(1, 0, 0, 1);
Imgproc.integral3(src, sum, sqsum, tilted, CvType.CV_64F, 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));
Imgproc.integral(src, dst);
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));
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));
Imgproc.invertAffineTransform(src, dst);
truth = new Mat(2, 3, CvType.CV_64F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testIsContourConvex() {
MatOfPoint contour1 = new MatOfPoint(new Point(0, 0), new Point(10, 0), new Point(10, 10), new Point(5, 4));
assertFalse(Imgproc.isContourConvex(contour1));
MatOfPoint contour2 = new MatOfPoint(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 testLaplacianMatMatIntIntDoubleDouble() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2, 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));
Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2, EPS, Core.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);
double distance = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 1);
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);
Imgproc.matchTemplate(image, templ, dst, Imgproc.TM_CCORR);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(70));
assertMatEqual(truth, dst, EPS);
Imgproc.matchTemplate(gray255, gray0, dst, Imgproc.TM_CCORR);
truth = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
assertMatEqual(truth, dst, EPS);
}
public void testMedianBlur() {
Imgproc.medianBlur(gray255, dst, 5);
assertMatEqual(gray255, dst);
Imgproc.medianBlur(gray2, dst, 3);
assertMatEqual(gray2, dst);
// TODO_: write better test
}
public void testMinAreaRect() {
MatOfPoint2f points = new MatOfPoint2f(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., rrect.angle);
assertEquals(new Point(3.5, 2), rrect.center);
}
public void testMinEnclosingCircle() {
MatOfPoint2f points = new MatOfPoint2f(new Point(0, 0), new Point(-100, 0), new Point(0, -100), new Point(100, 0), new Point(0, 100));
Point actualCenter = new Point();
float[] radius = new float[1];
Imgproc.minEnclosingCircle(points, actualCenter, radius);
assertEquals(new Point(0, 0), actualCenter);
assertEquals(100.0f, radius[0], 1.0);
}
public void testMomentsMat() {
fail("Not yet implemented");
}
public void testMomentsMatBoolean() {
fail("Not yet implemented");
}
public void testMorphologyExMatMatIntMat() {
Imgproc.morphologyEx(gray255, dst, Imgproc.MORPH_GRADIENT, gray0);
assertMatEqual(gray0, dst);
// TODO_: write better test
}
public void testMorphologyExMatMatIntMatPointInt() {
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);
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 testMorphologyExMatMatIntMatPointIntIntScalar() {
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);
Scalar sc = new Scalar(3, 3);
Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10, Core.BORDER_REFLECT, sc);
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() {
MatOfPoint2f contour = new MatOfPoint2f(new Point(0, 0), new Point(1, 3), new Point(3, 4), new Point(4, 3), new Point(2, 1));
double sign1 = Imgproc.pointPolygonTest(contour, new Point(2, 2), false);
assertEquals(1.0, sign1);
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));
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));
int ksize = 3;
Imgproc.preCornerDetect(src, dst, ksize, Core.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) {
{
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) {
{
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) {
{
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);
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));
Imgproc.pyrMeanShiftFiltering(src, dst, 10, 50);
assertMatEqual(src, dst);
// TODO_: write better test
}
public void testPyrMeanShiftFilteringMatMatDoubleDoubleInt() {
fail("Not yet implemented");
}
public void testPyrMeanShiftFilteringMatMatDoubleDoubleIntTermCriteria() {
fail("Not yet implemented");
}
public void testPyrUpMatMat() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_32F);
src.put(0, 0, 2, 1);
src.put(1, 0, 3, 2);
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, 2.625, 2.375, 2, 1.875);
put(3, 0, 2.75, 2.5, 2.125, 2);
}
};
assertMatEqual(truth, dst, EPS);
}
public void testPyrUpMatMatSize() {
fail("Not yet implemented");
}
public void testRemapMatMatMatMatInt() {
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, 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 testRemapMatMatMatMatIntIntScalar() {
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);
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));
Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR, Core.BORDER_REFLECT, sc);
assertMatEqual(truth, dst, EPS);
}
public void testResizeMatMatSize() {
Mat src = new Mat(imgprocSz, imgprocSz, CvType.CV_8UC1, new Scalar(1));
Size dsize = new Size(1, 1);
Imgproc.resize(src, dst, dsize, 0, 0, Imgproc.INTER_LINEAR_EXACT);
truth = new Mat(1, 1, CvType.CV_8UC1, new Scalar(1));
assertMatEqual(truth, dst);
}
public void testResizeMatMatSizeDoubleDoubleInt() {
Imgproc.resize(gray255, dst, new Size(2, 2), 0, 0, 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);
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 testScharrMatMatIntIntIntDoubleDouble() {
Mat src = Mat.eye(imgprocSz, imgprocSz, CvType.CV_32F);
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);
Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0, Core.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));
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
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 testSepFilter2DMatMatIntMatMatPointDouble() {
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, 2, 2);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
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 + weakEPS));
assertMatEqual(truth, dst, EPS);
}
public void testSepFilter2DMatMatIntMatMatPointDoubleInt() {
Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
kernelX.put(0, 0, 2, 2, 2);
Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
kernelY.put(0, 0, 1, 1, 1);
Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, anchorPoint, weakEPS, Core.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(gray255, dst, CvType.CV_8U, 1, 0);
assertMatEqual(gray0, dst);
}
public void testSobelMatMatIntIntIntIntDoubleDouble() {
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) {
{
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, Core.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(makeMask(gray0.clone(), 10), dst, 5, 255, Imgproc.THRESH_TRUNC);
assertMatEqual(makeMask(gray0.clone(), 5), dst);
Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 1, 255, Imgproc.THRESH_BINARY);
assertMatEqual(gray255, dst);
Imgproc.threshold(makeMask(gray2.clone(), 10), dst, 3, 255, Imgproc.THRESH_BINARY_INV);
assertMatEqual(makeMask(gray255.clone(), 0), dst);
}
public void testWarpAffineMatMatMatSize() {
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) {
{
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() {
fail("Not yet implemented");
}
public void testWarpAffineMatMatMatSizeIntIntScalar() {
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSize() {
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() {
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSizeIntInt() {
fail("Not yet implemented");
}
public void testWarpPerspectiveMatMatMatSizeIntIntScalar() {
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));
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);
}
public void testGetTextSize() {
String text = "Android all the way";
double fontScale = 2;
int thickness = 3;
int baseLine[] = new int[1];
Imgproc.getTextSize(text, Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, null);
Size res = Imgproc.getTextSize(text, Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, fontScale, thickness, baseLine);
assertEquals(543.0, res.width);
assertEquals(44.0, res.height);
assertEquals(20, baseLine[0]);
}
public void testCircleMatPointIntScalar() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
Scalar color = new Scalar(128);
Imgproc.circle(gray0, center, radius, color);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testCircleMatPointIntScalarInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
Scalar color = new Scalar(128);
Imgproc.circle(gray0, center, radius, color, Imgproc.FILLED);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testCircleMatPointIntScalarIntIntInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Point center2 = new Point(gray0.cols(), gray0.rows());
int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
Scalar color128 = new Scalar(128);
Scalar color0 = new Scalar(0);
Imgproc.circle(gray0, center2, radius * 2, color128, 2, Imgproc.LINE_4, 1/*
* Number
* of
* fractional
* bits
*/);
assertFalse(0 == Core.countNonZero(gray0));
Imgproc.circle(gray0, center, radius, color0, 2, Imgproc.LINE_4, 0);
assertTrue(0 == Core.countNonZero(gray0));
}
public void testClipLine() {
Rect r = new Rect(10, 10, 10, 10);
Point pt1 = new Point(5.0, 15.0);
Point pt2 = new Point(25.0, 15.0);
assertTrue(Imgproc.clipLine(r, pt1, pt2));
Point pt1Clipped = new Point(10.0, 15.0);
Point pt2Clipped = new Point(19.0, 15.0);
assertEquals(pt1Clipped, pt1);
assertEquals(pt2Clipped, pt2);
pt1 = new Point(5.0, 5.0);
pt2 = new Point(25.0, 5.0);
pt1Clipped = new Point(5.0, 5.0);
pt2Clipped = new Point(25.0, 5.0);
assertFalse(Imgproc.clipLine(r, pt1, pt2));
assertEquals(pt1Clipped, pt1);
assertEquals(pt2Clipped, pt2);
}
public void testEllipse2Poly() {
Point center = new Point(4, 4);
Size axes = new Size(2, 2);
int angle = 30;
int arcStart = 30;
int arcEnd = 60;
int delta = 2;
MatOfPoint pts = new MatOfPoint();
Imgproc.ellipse2Poly(center, axes, angle, arcStart, arcEnd, delta, pts);
Point truth[] = {
new Point(5, 6),
new Point(4, 6)
};
assertArrayPointsEquals(truth, pts.toArray(), EPS);
}
public void testEllipseMatPointSizeDoubleDoubleDoubleScalar() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Size axes = new Size(2, 2);
double angle = 30, startAngle = 60, endAngle = 90;
Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testEllipseMatPointSizeDoubleDoubleDoubleScalarInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Size axes = new Size(2, 2);
double angle = 30, startAngle = 60, endAngle = 90;
Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite, Imgproc.FILLED);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testEllipseMatPointSizeDoubleDoubleDoubleScalarIntIntInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Size axes = new Size(2, 2);
Point center2 = new Point(gray0.cols(), gray0.rows());
Size axes2 = new Size(4, 4);
double angle = 30, startAngle = 0, endAngle = 30;
Imgproc.ellipse(gray0, center, axes, angle, startAngle, endAngle, colorWhite, Imgproc.FILLED, Imgproc.LINE_4, 0);
assertTrue(0 != Core.countNonZero(gray0));
Imgproc.ellipse(gray0, center2, axes2, angle, startAngle, endAngle, colorBlack, Imgproc.FILLED, Imgproc.LINE_4, 1);
assertEquals(0, Core.countNonZero(gray0));
}
public void testEllipseMatRotatedRectScalar() {
int matSize = 10;
Mat gray0 = Mat.zeros(matSize, matSize, CvType.CV_8U);
Point center = new Point(matSize / 2, matSize / 2);
Size size = new Size(matSize / 4, matSize / 2);
RotatedRect box = new RotatedRect(center, size, 45);
Imgproc.ellipse(gray0, box, new Scalar(1));
final byte[] truth = new byte[] {
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 1, 0, 0,
0, 0, 0, 0, 1, 1, 0, 1, 0, 0,
0, 0, 0, 0, 1, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 1, 1, 0, 0, 0,
0, 0, 0, 1, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
assertMatEqual(new Mat(matSize, matSize, CvType.CV_8U) {
{
put(0, 0, truth);
}
}, gray0);
}
public void testEllipseMatRotatedRectScalarInt() {
Point center = new Point(matSize / 2, matSize / 2);
Size size = new Size(matSize / 4, matSize / 2);
RotatedRect box = new RotatedRect(center, size, 45);
Imgproc.ellipse(gray0, box, new Scalar(1), Imgproc.FILLED);
Imgproc.ellipse(gray0, box, new Scalar(0));
assertTrue(0 < Core.countNonZero(gray0));
}
public void testEllipseMatRotatedRectScalarIntInt() {
Point center = new Point(matSize / 2, matSize / 2);
Size size = new Size(2, matSize * 2 / 3);
RotatedRect box = new RotatedRect(center, size, 20);
Imgproc.ellipse(gray0, box, new Scalar(9), 1, Imgproc.LINE_AA);
Imgproc.ellipse(gray0, box, new Scalar(0), 1, Imgproc.LINE_4);
assertTrue(0 < Core.countNonZero(gray0));
}
public void testPolylinesMatListOfListOfPointBooleanScalar() {
Mat img = gray0;
List<MatOfPoint> polyline = new ArrayList<MatOfPoint>();
polyline.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
Imgproc.polylines(img, polyline, true, new Scalar(100));
assertEquals(22, Core.countNonZero(img));
Imgproc.polylines(img, polyline, false, new Scalar(0));
assertEquals(4, Core.countNonZero(img));
}
public void testPolylinesMatListOfListOfPointBooleanScalarInt() {
Mat img = gray0;
List<MatOfPoint> polyline = new ArrayList<MatOfPoint>();
polyline.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
Imgproc.polylines(img, polyline, true, new Scalar(100), 2);
assertEquals(62, Core.countNonZero(img));
}
public void testPolylinesMatListOfListOfPointBooleanScalarIntIntInt() {
Mat img = gray0;
List<MatOfPoint> polyline1 = new ArrayList<MatOfPoint>();
polyline1.add(new MatOfPoint(new Point(1, 1), new Point(7, 1), new Point(7, 6), new Point(1, 6)));
List<MatOfPoint> polyline2 = new ArrayList<MatOfPoint>();
polyline2.add(new MatOfPoint(new Point(2, 2), new Point(14, 2), new Point(14, 12), new Point(2, 12)));
Imgproc.polylines(img, polyline1, true, new Scalar(100), 2, Imgproc.LINE_8, 0);
assertTrue(Core.countNonZero(img) > 0);
Imgproc.polylines(img, polyline2, true, new Scalar(0), 2, Imgproc.LINE_8, 1);
assertEquals(0, Core.countNonZero(img));
}
public void testPutTextMatStringPointIntDoubleScalar() {
String text = "Hello World";
Size labelSize = new Size(175, 22);
Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
Point origin = new Point(10, labelSize.height + 10);
Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite);
assertTrue(Core.countNonZero(img) > 0);
// check that border is not corrupted
Imgproc.rectangle(img, new Point(11, 11), new Point(labelSize.width + 10, labelSize.height + 10), colorBlack, Imgproc.FILLED);
assertEquals(0, Core.countNonZero(img));
}
public void testPutTextMatStringPointIntDoubleScalarInt() {
String text = "Hello World";
Size labelSize = new Size(176, 22);
Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
Point origin = new Point(10, labelSize.height + 10);
Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite, 2);
assertTrue(Core.countNonZero(img) > 0);
// check that border is not corrupted
Imgproc.rectangle(img, new Point(10, 10), new Point(labelSize.width + 10 + 1, labelSize.height + 10 + 1), colorBlack, Imgproc.FILLED);
assertEquals(0, Core.countNonZero(img));
}
public void testPutTextMatStringPointIntDoubleScalarIntIntBoolean() {
String text = "Hello World";
Size labelSize = new Size(175, 22);
Mat img = new Mat(20 + (int) labelSize.height, 20 + (int) labelSize.width, CvType.CV_8U, colorBlack);
Point origin = new Point(10, 10);
Imgproc.putText(img, text, origin, Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, colorWhite, 1, Imgproc.LINE_8, true);
assertTrue(Core.countNonZero(img) > 0);
// check that border is not corrupted
Imgproc.rectangle(img, new Point(10, 10), new Point(labelSize.width + 9, labelSize.height + 9), colorBlack, Imgproc.FILLED);
assertEquals(0, Core.countNonZero(img));
}
}
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