Skip to content

O
opencv
Commit 039fd554 authored by Andrey Kamaev's avatar Andrey Kamaev
Browse files
Options

Added several Android tests

parent 26bd6b3f
Show whitespace changes
Inline Side-by-side
Showing with 253 additions and 140 deletions
modules/java/android_test/src/org/opencv/test/OpenCVTestCase.java
View file @ 039fd554
......@@ -8,7 +8,6 @@ import org.opencv.core.Scalar;
import org.opencv.core.Core;
import org.opencv.highgui.Highgui;
public class OpenCVTestCase extends TestCase {
protected static int matSize = 10;
......@@ -17,12 +16,12 @@ public class OpenCVTestCase extends TestCase {
protected static Mat dst;
protected static Mat truth;
//Naming notation: <channels info>_[depth]_[dimensions]_value
//examples: gray0 - single channel 8U 2d Mat filled with 0
// Naming notation: <channels info>_[depth]_[dimensions]_value
// examples: gray0 - single channel 8U 2d Mat filled with 0
// grayRnd - single channel 8U 2d Mat filled with random numbers
// gray0_32f_1d
//TODO: OpenCVTestCase refactorings
// TODO: OpenCVTestCase refactorings
// - rename matrices
// - create some masks
// - use truth member everywhere
......@@ -81,19 +80,24 @@ public class OpenCVTestCase extends TestCase {
gray255 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
gray_16u_256 = new Mat(matSize, matSize, CvType.CV_16U, new Scalar(256));
gray_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(1024));
gray_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(
1024));
Mat low = new Mat(1, 1, CvType.CV_16UC1, new Scalar(0));
Mat high = new Mat(1, 1, CvType.CV_16UC1, new Scalar(256));
grayRnd = new Mat(matSize, matSize, CvType.CV_8U); Core.randu(grayRnd, low, high);
grayRnd = new Mat(matSize, matSize, CvType.CV_8U);
Core.randu(grayRnd, low, high);
gray0_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(0.0));
gray1_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(1.0));
gray3_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(3.0));
gray9_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(9.0));
gray255_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(255.0));
grayE_32f = new Mat(matSize, matSize, CvType.CV_32F); grayE_32f = Mat.eye(matSize, matSize, CvType.CV_32FC1);
grayRnd_32f = new Mat(matSize, matSize, CvType.CV_32F); Core.randu(grayRnd_32f, low, high);
gray255_32f = new Mat(matSize, matSize, CvType.CV_32F,
new Scalar(255.0));
grayE_32f = new Mat(matSize, matSize, CvType.CV_32F);
grayE_32f = Mat.eye(matSize, matSize, CvType.CV_32FC1);
grayRnd_32f = new Mat(matSize, matSize, CvType.CV_32F);
Core.randu(grayRnd_32f, low, high);
gray0_32f_1d = new Mat(1, matSize, CvType.CV_32F, new Scalar(0.0));
......@@ -106,8 +110,10 @@ public class OpenCVTestCase extends TestCase {
rgbLena = Highgui.imread(OpenCVTestRunner.LENA_PATH);
grayChess = Highgui.imread(OpenCVTestRunner.CHESS_PATH, 0);
v1 = new Mat(1, 3, CvType.CV_32F); v1.put(0, 0, 1.0, 3.0, 2.0);
v2 = new Mat(1, 3, CvType.CV_32F); v2.put(0, 0, 2.0, 1.0, 3.0);
v1 = new Mat(1, 3, CvType.CV_32F);
v1.put(0, 0, 1.0, 3.0, 2.0);
v2 = new Mat(1, 3, CvType.CV_32F);
v2.put(0, 0, 2.0, 1.0, 3.0);
}
public static void assertMatEqual(Mat m1, Mat m2) {
......@@ -119,29 +125,25 @@ public class OpenCVTestCase extends TestCase {
}
static private void compareMats(Mat m1, Mat m2, boolean isEqualityMeasured) {
//OpenCVTestRunner.Log(m1.toString());
//OpenCVTestRunner.Log(m2.toString());
// OpenCVTestRunner.Log(m1.toString());
// OpenCVTestRunner.Log(m2.toString());
if (m1.type() != m2.type() ||
m1.cols() != m2.cols() || m1.rows() != m2.rows()) {
if (m1.type() != m2.type() || m1.cols() != m2.cols()
|| m1.rows() != m2.rows()) {
throw new UnsupportedOperationException();
}
else if (m1.channels() == 1) {
} else if (m1.channels() == 1) {
if (isEqualityMeasured) {
assertTrue(CalcPercentageOfDifference(m1, m2) == 0.0);
}
else {
} else {
assertTrue(CalcPercentageOfDifference(m1, m2) != 0.0);
}
}
else {
} else {
for (int coi = 0; coi < m1.channels(); coi++) {
Mat m1c = getCOI(m1, coi);
Mat m2c = getCOI(m2, coi);
if (isEqualityMeasured) {
assertTrue(CalcPercentageOfDifference(m1c, m2c) == 0.0);
}
else {
} else {
assertTrue(CalcPercentageOfDifference(m1c, m2c) != 0.0);
}
}
......@@ -152,8 +154,7 @@ public class OpenCVTestCase extends TestCase {
Mat ch = new Mat(m.rows(), m.cols(), m.depth());
for (int i = 0; i < m.rows(); i++)
for (int j = 0; j < m.cols(); j++)
{
for (int j = 0; j < m.cols(); j++) {
double pixel[] = m.get(i, j);
ch.put(i, j, pixel[coi]);
}
......@@ -164,14 +165,15 @@ public class OpenCVTestCase extends TestCase {
static private double CalcPercentageOfDifference(Mat m1, Mat m2) {
Mat cmp = new Mat(0, 0, CvType.CV_8U);
Core.compare(m1, m2, cmp, Core.CMP_EQ);
double difference = 100.0 *
(1.0 - Double.valueOf(Core.countNonZero(cmp)) / Double.valueOf(cmp.rows() * cmp.cols()));
double difference = 100.0 * (1.0 - Double.valueOf(Core
.countNonZero(cmp)) / Double.valueOf(cmp.rows() * cmp.cols()));
return difference;
}
public void test_1(String label) {
OpenCVTestRunner.Log("================================================");
OpenCVTestRunner
.Log("================================================");
OpenCVTestRunner.Log("=============== " + label);
}
}
modules/java/android_test/src/org/opencv/test/calib3d/calib3dTest.java
View file @ 039fd554
......@@ -28,16 +28,22 @@ public class calib3dTest extends OpenCVTestCase {
}
public void testComposeRTMatMatMatMatMatMat() {
Mat rvec1 = new Mat(3, 1, CvType.CV_32F); rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945);
Mat tvec1 = new Mat(3, 1, CvType.CV_32F); tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897);
Mat rvec2 = new Mat(3, 1, CvType.CV_32F); rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448);
Mat tvec2 = new Mat(3, 1, CvType.CV_32F); tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002);
Mat rvec1 = new Mat(3, 1, CvType.CV_32F);
rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945);
Mat tvec1 = new Mat(3, 1, CvType.CV_32F);
tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897);
Mat rvec2 = new Mat(3, 1, CvType.CV_32F);
rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448);
Mat tvec2 = new Mat(3, 1, CvType.CV_32F);
tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002);
Mat rvec3 = new Mat();
Mat tvec3 = new Mat();
Mat outRvec = new Mat(3, 1, CvType.CV_32F); outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796);
Mat outTvec = new Mat(3, 1, CvType.CV_32F); outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103);
Mat outRvec = new Mat(3, 1, CvType.CV_32F);
outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796);
Mat outTvec = new Mat(3, 1, CvType.CV_32F);
outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103);
Calib3d.composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3);
......@@ -75,39 +81,39 @@ public class calib3dTest extends OpenCVTestCase {
public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMatMatMat() {
fail("Not yet implemented");
// Mat dr3dr1;
// Mat dr3dt1;
// Mat dr3dr2;
// Mat dr3dt2;
// Mat dt3dr1;
// Mat dt3dt1;
// Mat dt3dr2;
// Mat dt3dt2;
//, dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2);
// [0.97031879, -0.091774099, 0.38594806;
// 0.15181915, 0.98091727, -0.44186208;
// -0.39509675, 0.43839464, 0.93872648]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [1.0117353, 0.16348237, -0.083180845;
// -0.1980398, 1.006078, 0.30299222;
// 0.075766489, -0.32784501, 1.0163091]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [0.69658804, 0.018115902, 0.7172426;
// 0.51114357, 0.68899536, -0.51382649;
// -0.50348526, 0.72453934, 0.47068608]
// [0.18536358, -0.20515044, -0.48834875;
// -0.25120571, 0.29043972, 0.60573936;
// 0.35370794, -0.69923931, 0.45781645]
// [1, 0, 0;
// 0, 1, 0;
// 0, 0, 1]
// Mat dr3dr1;
// Mat dr3dt1;
// Mat dr3dr2;
// Mat dr3dt2;
// Mat dt3dr1;
// Mat dt3dt1;
// Mat dt3dr2;
// Mat dt3dt2;
// , dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2);
// [0.97031879, -0.091774099, 0.38594806;
// 0.15181915, 0.98091727, -0.44186208;
// -0.39509675, 0.43839464, 0.93872648]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [1.0117353, 0.16348237, -0.083180845;
// -0.1980398, 1.006078, 0.30299222;
// 0.075766489, -0.32784501, 1.0163091]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [0, 0, 0;
// 0, 0, 0;
// 0, 0, 0]
// [0.69658804, 0.018115902, 0.7172426;
// 0.51114357, 0.68899536, -0.51382649;
// -0.50348526, 0.72453934, 0.47068608]
// [0.18536358, -0.20515044, -0.48834875;
// -0.25120571, 0.29043972, 0.60573936;
// 0.35370794, -0.69923931, 0.45781645]
// [1, 0, 0;
// 0, 1, 0;
// 0, 0, 1]
}
public void testConvertPointsFromHomogeneous() {
......@@ -156,7 +162,8 @@ public class calib3dTest extends OpenCVTestCase {
public void testFilterSpecklesMatDoubleIntDouble() {
gray_16s_1024.copyTo(dst);
Point center = new Point(gray_16s_1024.rows()/2., gray_16s_1024.cols()/2.);
Point center = new Point(gray_16s_1024.rows() / 2.,
gray_16s_1024.cols() / 2.);
Core.circle(dst, center, 1, Scalar.all(4096));
assertMatNotEqual(gray_16s_1024, dst);
......@@ -177,16 +184,64 @@ public class calib3dTest extends OpenCVTestCase {
public void testFindChessboardCornersMatSizeMatInt() {
Size patternSize = new Size(9, 6);
Calib3d.findChessboardCorners(grayChess, patternSize, dst,
Calib3d.CALIB_CB_ADAPTIVE_THRESH + Calib3d.CALIB_CB_NORMALIZE_IMAGE + Calib3d.CALIB_CB_FAST_CHECK);
Calib3d.CALIB_CB_ADAPTIVE_THRESH
+ Calib3d.CALIB_CB_NORMALIZE_IMAGE
+ Calib3d.CALIB_CB_FAST_CHECK);
assertTrue(!dst.empty());
}
public void testFindCirclesGridDefaultMatSizeMat() {
fail("Not yet implemented");
int size = 300;
Mat img = new Mat(size, size, CvType.CV_8U);
img.setTo(new Scalar(255));
Mat centers = new Mat();
assertFalse(Calib3d
.findCirclesGridDefault(img, new Size(5, 5), centers));
for (int i = 0; i < 5; i++)
for (int j = 0; j < 5; j++) {
Point pt = new Point(size * (2 * i + 1) / 10, size
* (2 * j + 1) / 10);
Core.circle(img, pt, 10, new Scalar(0), -1);
}
org.opencv.highgui.Highgui.imwrite("/mnt/sdcard/test3.png", img);
assertTrue(Calib3d.findCirclesGridDefault(img, new Size(5, 5), centers));
assertEquals(25, centers.rows());
assertEquals(1, centers.cols());
assertEquals(CvType.CV_32FC2, centers.type());
}
public void testFindCirclesGridDefaultMatSizeMatInt() {
fail("Not yet implemented");
int size = 300;
Mat img = new Mat(size, size, CvType.CV_8U);
img.setTo(new Scalar(255));
Mat centers = new Mat();
assertFalse(Calib3d.findCirclesGridDefault(img, new Size(3, 5),
centers, Calib3d.CALIB_CB_CLUSTERING
| Calib3d.CALIB_CB_ASYMMETRIC_GRID));
int step = size * 2 / 15;
int offsetx = size / 6;
int offsety = (size - 4 * step) / 2;
for (int i = 0; i < 3; i++)
for (int j = 0; j < 5; j++) {
Point pt = new Point(offsetx + (2 * i + j % 2) * step, offsety
+ step * j);
Core.circle(img, pt, 10, new Scalar(0), -1);
}
assertTrue(Calib3d.findCirclesGridDefault(img, new Size(3, 5), centers,
Calib3d.CALIB_CB_CLUSTERING | Calib3d.CALIB_CB_ASYMMETRIC_GRID));
assertEquals(15, centers.rows());
assertEquals(1, centers.cols());
assertEquals(CvType.CV_32FC2, centers.type());
}
public void testFindFundamentalMatMatMat() {
......
modules/java/android_test/src/org/opencv/test/core/RectTest.java
View file @ 039fd554
package org.opencv.test.core;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.test.OpenCVTestCase;
public class RectTest extends OpenCVTestCase {
......@@ -21,7 +23,21 @@ public class RectTest extends OpenCVTestCase {
}
public void testContains() {
fail("Not yet implemented");
Rect r = new Rect(0,0,10,10);
Point p_inner = new Point(5,5);
Point p_outer = new Point(5,55);
Point p_bl = new Point(0,0);
Point p_br = new Point(10,0);
Point p_tl = new Point(0,10);
Point p_tr = new Point(10,10);
assertTrue(r.contains(p_inner));
assertTrue(r.contains(p_bl));
assertFalse(r.contains(p_outer));
assertFalse(r.contains(p_br));
assertFalse(r.contains(p_tl));
assertFalse(r.contains(p_tr));
}
public void testEqualsObject() {
......
modules/java/android_test/src/org/opencv/test/core/coreTest.java
View file @ 039fd554
......@@ -2,6 +2,9 @@ package org.opencv.test.core;
import java.util.ArrayList;
import org.hamcrest.core.IsInstanceOf;
import org.junit.internal.runners.statements.ExpectException;
import org.opencv.core.CvException;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
......@@ -96,7 +99,10 @@ public class coreTest extends OpenCVTestCase {
Mat covar = new Mat(matSize, matSize, CvType.CV_64FC1);
Mat mean = new Mat(1, matSize, CvType.CV_64FC1);
Core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/);
Core.calcCovarMatrix(gray0_32f, covar, mean, 8 | 1/*
* TODO:
* CV_COVAR_NORMAL
*/);
assertMatEqual(gray0_64f, covar);
assertMatEqual(gray0_64f_1d, mean);
}
......@@ -105,7 +111,10 @@ public class coreTest extends OpenCVTestCase {
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
Mat mean = new Mat(1, matSize, CvType.CV_32F);
Core.calcCovarMatrix(gray0_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
Core.calcCovarMatrix(gray0_32f, covar, mean, 8 | 1/*
* TODO:
* CV_COVAR_NORMAL
*/, CvType.CV_32F);
assertMatEqual(gray0_32f, covar);
assertMatEqual(gray0_32f_1d, mean);
}
......@@ -113,7 +122,7 @@ public class coreTest extends OpenCVTestCase {
public void testCartToPolarMatMatMatMat() {
Mat x = new Mat(1, 3, CvType.CV_32F);
Mat y = new Mat(1, 3, CvType.CV_32F);
x.put(0, 0, 3.0, 6.0, 5,0);
x.put(0, 0, 3.0, 6.0, 5, 0);
y.put(0, 0, 4.0, 8.0, 12.0);
Mat magnitude = new Mat(1, 3, CvType.CV_32F);
......@@ -130,27 +139,45 @@ public class coreTest extends OpenCVTestCase {
public void testCartToPolarMatMatMatMatBoolean() {
Mat x = new Mat(1, 3, CvType.CV_32F);
Mat y = new Mat(1, 3, CvType.CV_32F);
x.put(0 ,0, 3.0, 6.0, 5,0);
y.put(0 ,0, 4.0, 8.0, 12.0);
x.put(0, 0, 3.0, 6.0, 5, 0);
y.put(0, 0, 4.0, 8.0, 12.0);
Mat magnitude = new Mat(1, 3, CvType.CV_32F);
Mat angle = new Mat(1, 3, CvType.CV_32F);
magnitude.put(0 ,0, 5.0, 10.0, 13.0);
angle.put(0 ,0, 0.92729962, 0.92729962, 1.1759995);
magnitude.put(0, 0, 5.0, 10.0, 13.0);
angle.put(0, 0, 0.92729962, 0.92729962, 1.1759995);
Mat dst_angle = new Mat();
Core.cartToPolar(x, y, dst, dst_angle,false);
Core.cartToPolar(x, y, dst, dst_angle, false);
assertMatEqual(magnitude, dst);
assertMatEqual(angle, dst_angle);
}
public void testCheckRangeMat() {
fail("Not yet implemented");
Mat outOfRange = new Mat(2, 2, CvType.CV_64F);
outOfRange.put(0, 0, Double.NaN, Double.NEGATIVE_INFINITY,
Double.POSITIVE_INFINITY, 0);
assertTrue(Core.checkRange(grayRnd_32f));
assertTrue(Core.checkRange(new Mat()));
assertFalse(Core.checkRange(outOfRange));
}
public void testCheckRangeMatBoolean() {
fail("Not yet implemented");
Mat outOfRange = new Mat(2, 2, CvType.CV_64F);
outOfRange.put(0, 0, Double.NaN, Double.NEGATIVE_INFINITY,
Double.POSITIVE_INFINITY, 0);
assertFalse(Core.checkRange(outOfRange, true));
try {
Core.checkRange(outOfRange, false);
fail("Core.checkRange should throw the CvException");
} catch (Exception e) {
if (!(e instanceof CvException))
fail("Core.checkRange should throw the CvException");
}
}
public void testCheckRangeMatBooleanPoint() {
......@@ -166,8 +193,8 @@ public class coreTest extends OpenCVTestCase {
}
public void testCircleMatPointIntScalar() {
Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
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);
assertTrue(0 == Core.countNonZero(gray0));
......@@ -176,34 +203,38 @@ public class coreTest extends OpenCVTestCase {
}
public void testCircleMatPointIntScalarInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
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);
assertTrue(0 == Core.countNonZero(gray0));
Core.circle(gray0, center, radius, color, -1 /*filled circle*/);
Core.circle(gray0, center, radius, color, -1 /* filled circle */);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testCircleMatPointIntScalarIntInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
int radius = Math.min(gray0.cols()/4, gray0.rows()/4);
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);
assertTrue(0 == Core.countNonZero(gray0));
Core.circle(gray0, center, radius, color, 2, 4/*4-connected line*/);
Core.circle(gray0, center, radius, color, 2, 4/* 4-connected line */);
assertTrue(0 != Core.countNonZero(gray0));
}
public void testCircleMatPointIntScalarIntIntInt() {
Point center = new Point(gray0.cols() / 2, gray0.rows()/2);
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);
int radius = Math.min(gray0.cols() / 4, gray0.rows() / 4);
Scalar color128 = new Scalar(128);
Scalar color0 = new Scalar(0);
assertTrue(0 == Core.countNonZero(gray0));
Core.circle(gray0, center2, radius*2, color128, 2, 4, 1/*Number of fractional bits*/);
Core.circle(gray0, center2, radius * 2, color128, 2, 4, 1/*
* Number of
* fractional
* bits
*/);
Core.circle(gray0, center, radius, color0, 2, 4, 0);
assertTrue(0 == Core.countNonZero(gray0));
}
......@@ -233,7 +264,6 @@ public class coreTest extends OpenCVTestCase {
assertEquals(pt2Clipped, pt2);
}
public void testCompare() {
Core.compare(gray0, gray0, dst, Core.CMP_EQ);
assertMatEqual(dst, gray255);
......@@ -289,7 +319,7 @@ public class coreTest extends OpenCVTestCase {
public void testCubeRoot() {
float res = Core.cubeRoot(27.0f);
assertEquals(3.0f,res);
assertEquals(3.0f, res);
}
public void testDctMatMat() {
......@@ -311,10 +341,12 @@ public class coreTest extends OpenCVTestCase {
assertMatEqual(gray0_32f_1d, dst);
Mat in = new Mat(1, 8, CvType.CV_32F);
in.put(0, 0, 0.203056, 0.980407, 0.35312, -0.106651, 0.0399382, 0.871475, -0.648355, 0.501067);
in.put(0, 0, 0.203056, 0.980407, 0.35312, -0.106651, 0.0399382,
0.871475, -0.648355, 0.501067);
truth = new Mat(1, 8, CvType.CV_32F);
truth.put(0, 0, 0.77571625, 0.37270021, 0.18529896, 0.012146413, -0.32499927, -0.99302113, 0.55979407, -0.6251272);
truth.put(0, 0, 0.77571625, 0.37270021, 0.18529896, 0.012146413,
-0.32499927, -0.99302113, 0.55979407, -0.6251272);
Core.dct(in, dst);
assertMatEqual(truth, dst);
......@@ -427,7 +459,8 @@ public class coreTest extends OpenCVTestCase {
}
public void testExp() {
Mat destination = new Mat(matSize, matSize, CvType.CV_32F); destination.setTo(new Scalar(0.0));
Mat destination = new Mat(matSize, matSize, CvType.CV_32F);
destination.setTo(new Scalar(0.0));
Core.exp(gray0_32f, destination);
assertMatEqual(gray1_32f, destination);
}
......@@ -440,7 +473,7 @@ public class coreTest extends OpenCVTestCase {
public void testFastAtan2() {
double delta = 0.01;
float res = Core.fastAtan2(50, 50);
assertEquals(45,res,delta);
assertEquals(45, res, delta);
float res2 = Core.fastAtan2(80, 20);
assertEquals(75.96, res2, delta);
......@@ -584,7 +617,8 @@ public class coreTest extends OpenCVTestCase {
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
truth = new Mat(1, 8, CvType.CV_32F);
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907, -0.86502546, 0.028082132, -0.7673766, 0.10917115);
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907,
-0.86502546, 0.028082132, -0.7673766, 0.10917115);
Core.idct(in, dst);
assertMatEqual(truth, dst);
......@@ -595,7 +629,8 @@ public class coreTest extends OpenCVTestCase {
in.put(0, 0, 1.0, 2.0, 1.0, 0.0, 1.0, 2.0, 3.0, 1.0);
truth = new Mat(1, 8, CvType.CV_32F);
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907, -0.86502546, 0.028082132, -0.7673766, 0.10917115);
truth.put(0, 0, 3.3769724, -1.6215782, 2.3608727, 0.20730907,
-0.86502546, 0.028082132, -0.7673766, 0.10917115);
Core.idct(in, dst, Core.DCT_ROWS);
assertMatEqual(truth, dst);
......@@ -661,11 +696,11 @@ public class coreTest extends OpenCVTestCase {
Core.invert(src, dst);
assertMatEqual(truth, dst);
//TODO: needs epsilon comparison
// Mat m = grayRnd_32f.clone();
// Mat inv = m.inv();
// Core.gemm(m, inv, 1.0, new Mat(), 0.0, dst);
// assertMatEqual(grayE_32f, dst);
// TODO: needs epsilon comparison
// Mat m = grayRnd_32f.clone();
// Mat inv = m.inv();
// Core.gemm(m, inv, 1.0, new Mat(), 0.0, dst);
// assertMatEqual(grayE_32f, dst);
}
public void testInvertMatMatInt() {
......@@ -760,7 +795,7 @@ public class coreTest extends OpenCVTestCase {
out.put(0, 0, 5.0, 13.0, 41.0, 10.0);
Core.magnitude(x, y, dst);
assertMatEqual(out,dst);
assertMatEqual(out, dst);
Core.magnitude(gray0_32f, gray255_32f, dst);
assertMatEqual(gray255_32f, dst);
......@@ -769,7 +804,10 @@ public class coreTest extends OpenCVTestCase {
public void testMahalanobis() {
Mat covar = new Mat(matSize, matSize, CvType.CV_32F);
Mat mean = new Mat(1, matSize, CvType.CV_32F);
Core.calcCovarMatrix(grayRnd_32f, covar, mean, 8|1/*TODO: CV_COVAR_NORMAL*/, CvType.CV_32F);
Core.calcCovarMatrix(grayRnd_32f, covar, mean, 8 | 1/*
* TODO:
* CV_COVAR_NORMAL
*/, CvType.CV_32F);
covar.inv();
Mat line1 = grayRnd_32f.submat(0, 1, 0, grayRnd_32f.cols());
......@@ -825,11 +863,12 @@ public class coreTest extends OpenCVTestCase {
assertEquals(0, Core.countNonZero(mean));
assertEquals(0, Core.countNonZero(stddev));
Mat submat = grayRnd.submat(0, grayRnd.rows()/2, 0, grayRnd.cols()/2);
Mat submat = grayRnd.submat(0, grayRnd.rows() / 2, 0,
grayRnd.cols() / 2);
submat.setTo(new Scalar(33));
Mat mask = gray0.clone();
submat = mask.submat(0, mask.rows()/2, 0, mask.cols()/2);
submat = mask.submat(0, mask.rows() / 2, 0, mask.cols() / 2);
submat.setTo(new Scalar(1));
Core.meanStdDev(grayRnd, mean, stddev, mask);
......@@ -854,10 +893,10 @@ public class coreTest extends OpenCVTestCase {
public void testMinMaxLoc() {
double minVal = 1;
double maxVal = 10;
Point minLoc = new Point(gray3.cols()/4, gray3.rows()/2);
Point maxLoc = new Point(gray3.cols()/2, gray3.rows()/4);
gray3.put((int)minLoc.y, (int)minLoc.x, minVal);
gray3.put((int)maxLoc.y, (int)maxLoc.x, maxVal);
Point minLoc = new Point(gray3.cols() / 4, gray3.rows() / 2);
Point maxLoc = new Point(gray3.cols() / 2, gray3.rows() / 4);
gray3.put((int) minLoc.y, (int) minLoc.x, minVal);
gray3.put((int) maxLoc.y, (int) maxLoc.x, maxVal);
Core.MinMaxLocResult mmres = Core.minMaxLoc(gray3);
......@@ -867,7 +906,6 @@ public class coreTest extends OpenCVTestCase {
assertTrue(mmres.maxLoc.equals(maxLoc));
}
public void testMinMaxLocMat() {
fail("Not yet implemented");
}
......@@ -1050,7 +1088,7 @@ public class coreTest extends OpenCVTestCase {
}
public void testPerspectiveTransform() {
//nice example
// nice example
fail("Not yet implemented");
}
......@@ -1087,18 +1125,18 @@ public class coreTest extends OpenCVTestCase {
Mat xCoordinate = new Mat();
Mat yCoordinate = new Mat();
// x.put(0, 0, 3.0, 6.0, 5,0);
// y.put(0, 0, 4.0, 8.0, 12.0);
// magnitude.put(0, 0, 5.0, 10.0, 13.0);
// angle.put(0, 0, 0.92729962, 0.92729962, 1.1759995);
// x.put(0, 0, 3.0, 6.0, 5,0);
// y.put(0, 0, 4.0, 8.0, 12.0);
// magnitude.put(0, 0, 5.0, 10.0, 13.0);
// angle.put(0, 0, 0.92729962, 0.92729962, 1.1759995);
magnitude.put(0, 0, 5.0, 10.0, 13.0);
angle.put(0, 0, 0.92729962, 0.92729962, 1.1759995);
x.put(0, 0, 3.0, 6.0, 5,0);
x.put(0, 0, 3.0, 6.0, 5, 0);
y.put(0, 0, 4.0, 8.0, 12.0);
//TODO: needs epsilon comparison
// TODO: needs epsilon comparison
Core.polarToCart(magnitude, angle, xCoordinate, yCoordinate);
assertMatEqual(x, xCoordinate);
}
......@@ -1171,8 +1209,8 @@ public class coreTest extends OpenCVTestCase {
}
public void testRectangleMatPointPointScalar() {
Point center = new Point(gray0.cols()/2, gray0.rows()/2);
Point origin = new Point(0,0);
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Point origin = new Point(0, 0);
Scalar color = new Scalar(128);
assertTrue(0 == Core.countNonZero(gray0));
......@@ -1182,7 +1220,7 @@ public class coreTest extends OpenCVTestCase {
public void testRectangleMatPointPointScalarInt() {
Point center = new Point(gray0.cols(), gray0.rows());
Point origin = new Point(0,0);
Point origin = new Point(0, 0);
Scalar color = new Scalar(128);
assertTrue(0 == Core.countNonZero(gray0));
......@@ -1191,8 +1229,8 @@ public class coreTest extends OpenCVTestCase {
}
public void testRectangleMatPointPointScalarIntInt() {
Point center = new Point(gray0.cols()/2, gray0.rows()/2);
Point origin = new Point(0,0);
Point center = new Point(gray0.cols() / 2, gray0.rows() / 2);
Point origin = new Point(0, 0);
Scalar color = new Scalar(128);
assertTrue(0 == Core.countNonZero(gray0));
......@@ -1202,7 +1240,7 @@ public class coreTest extends OpenCVTestCase {
public void testRectangleMatPointPointScalarIntIntInt() {
Point center = new Point(gray0.cols(), gray0.rows());
Point origin = new Point(0,0);
Point origin = new Point(0, 0);
Scalar color = new Scalar(128);
assertTrue(0 == Core.countNonZero(gray0));
......@@ -1213,10 +1251,10 @@ public class coreTest extends OpenCVTestCase {
public void testReduceMatMatIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32F);
Mat out = new Mat(1, 2, CvType.CV_32F);
src.put(0, 0, 1 , 0);
src.put(1, 0, 1 , 0);
src.put(0, 0, 1, 0);
src.put(1, 0, 1, 0);
out.put(0 , 0, 1, 0);
out.put(0, 0, 1, 0);
Core.reduce(src, dst, 0, 2);
assertMatEqual(out, dst);
......@@ -1225,10 +1263,10 @@ public class coreTest extends OpenCVTestCase {
public void testReduceMatMatIntIntInt() {
Mat src = new Mat(2, 2, CvType.CV_32F);
Mat out = new Mat(1, 2, CvType.CV_32F);
src.put(0, 0, 1 , 0);
src.put(1, 0, 1 , 0);
src.put(0, 0, 1, 0);
src.put(1, 0, 1, 0);
out.put(0 , 0, 1, 0);
out.put(0, 0, 1, 0);
Core.reduce(src, dst, 0, 2, -1);
assertMatEqual(out, dst);
......@@ -1335,11 +1373,11 @@ public class coreTest extends OpenCVTestCase {
Mat submat = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols() / 2);
submat.setTo(new Scalar(1.0));
Core.sort(gray0, dst, 0/*TODO: CV_SORT_EVERY_ROW*/);
Core.sort(gray0, dst, 0/* TODO: CV_SORT_EVERY_ROW */);
submat = dst.submat(0, dst.rows() / 2, dst.cols() / 2, dst.cols());
assertTrue(submat.total() == Core.countNonZero(submat));
Core.sort(gray0, dst, 1/*TODO: CV_SORT_EVERY_COLUMN*/);
Core.sort(gray0, dst, 1/* TODO: CV_SORT_EVERY_COLUMN */);
submat = dst.submat(dst.rows() / 2, dst.rows(), 0, dst.cols() / 2);
assertTrue(submat.total() == Core.countNonZero(submat));
}
......@@ -1353,14 +1391,14 @@ public class coreTest extends OpenCVTestCase {
truth.put(1, 0, 0, 2, 1);
truth.put(2, 0, 0, 1, 2);
Core.sortIdx(a, b, 0+0/*TODO: CV_SORT_EVERY_ROW + CV_SORT_ASCENDING*/);
Core.sortIdx(a, b, 0 + 0/* TODO: CV_SORT_EVERY_ROW + CV_SORT_ASCENDING */);
assertMatEqual(truth, b);
}
public void testSplit() {
ArrayList<Mat> cois = new ArrayList<Mat>();
Core.split(rgba0, cois);
for(Mat coi : cois) {
for (Mat coi : cois) {
assertMatEqual(gray0, coi);
}
}
......@@ -1430,8 +1468,10 @@ public class coreTest extends OpenCVTestCase {
public void testTranspose() {
Mat subgray0 = gray0.submat(0, gray0.rows() / 2, 0, gray0.cols());
Mat destination = new Mat(matSize, matSize, CvType.CV_8U); destination.setTo(new Scalar(0));
Mat subdst = destination.submat(0, destination.rows(), 0, destination.cols() / 2);
Mat destination = new Mat(matSize, matSize, CvType.CV_8U);
destination.setTo(new Scalar(0));
Mat subdst = destination.submat(0, destination.rows(), 0,
destination.cols() / 2);
subgray0.setTo(new Scalar(1));
Core.transpose(gray0, destination);
assertTrue(subdst.total() == Core.countNonZero(subdst));
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment