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package org.opencv.test;
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import java.io.BufferedReader;
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import java.io.FileOutputStream;
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import java.io.FileReader;
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import java.io.IOException;
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import java.nio.channels.FileChannel;
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import java.nio.charset.Charset;
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import java.util.List;
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import junit.framework.TestCase;
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import org.opencv.core.Core;
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import org.opencv.core.CvType;
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import org.opencv.core.Mat;
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import org.opencv.core.Point;
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import org.opencv.core.Point3;
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import org.opencv.core.Rect;
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import org.opencv.core.Scalar;
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import org.opencv.core.Size;
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import org.opencv.core.DMatch;
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import org.opencv.core.KeyPoint;
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import org.opencv.imgcodecs.Imgcodecs;
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import android.util.Log;
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public class OpenCVTestCase extends TestCase {
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//change to 'true' to unblock fail on fail("Not yet implemented")
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public static final boolean passNYI = true;
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protected static boolean isTestCaseEnabled = true;
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protected static final int matSize = 10;
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protected static final double EPS = 0.001;
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protected static final double weakEPS = 0.5;
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private static final String TAG = "OpenCVTestCase";
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protected Scalar colorBlack;
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protected Scalar colorWhite;
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// Naming notation: <channels info>_[depth]_[dimensions]_value
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// examples: gray0 - single channel 8U 2d Mat filled with 0
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// grayRnd - single channel 8U 2d Mat filled with random numbers
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// TODO: OpenCVTestCase refactorings
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// - create methods gray0() and create src1 explicitly
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// - create some masks
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// - use truth member everywhere - remove truth from base class - each test
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// fixture should use own truth filed
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protected Mat gray127;
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protected Mat gray128;
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protected Mat gray255;
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protected Mat grayRnd;
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protected Mat gray_16u_256;
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protected Mat gray_16s_1024;
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protected Mat gray0_32f;
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protected Mat gray1_32f;
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protected Mat gray3_32f;
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protected Mat gray9_32f;
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protected Mat gray255_32f;
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protected Mat grayE_32f;
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protected Mat grayRnd_32f;
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protected Mat gray0_32f_1d;
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protected Mat gray0_64f;
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protected Mat gray0_64f_1d;
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protected Mat rgba128;
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protected Mat rgbLena;
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protected Mat grayChess;
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protected void setUp() throws Exception {
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assertTrue(dst.empty());
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colorBlack = new Scalar(0);
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colorWhite = new Scalar(255, 255, 255);
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gray0 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(0));
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gray1 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(1));
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gray2 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(2));
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gray3 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(3));
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gray9 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(9));
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gray127 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(127));
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gray128 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(128));
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gray255 = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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grayRnd = new Mat(matSize, matSize, CvType.CV_8U);
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Core.randu(grayRnd, 0, 256);
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gray_16u_256 = new Mat(matSize, matSize, CvType.CV_16U, new Scalar(256));
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gray_16s_1024 = new Mat(matSize, matSize, CvType.CV_16S, new Scalar(1024));
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gray0_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(0.0));
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gray1_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(1.0));
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gray3_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(3.0));
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gray9_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(9.0));
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gray255_32f = new Mat(matSize, matSize, CvType.CV_32F, new Scalar(255.0));
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grayE_32f = new Mat(matSize, matSize, CvType.CV_32F);
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grayE_32f = Mat.eye(matSize, matSize, CvType.CV_32FC1);
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grayRnd_32f = new Mat(matSize, matSize, CvType.CV_32F);
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Core.randu(grayRnd_32f, 0, 256);
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gray0_64f = new Mat(matSize, matSize, CvType.CV_64F, new Scalar(0.0));
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gray0_32f_1d = new Mat(1, matSize, CvType.CV_32F, new Scalar(0.0));
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gray0_64f_1d = new Mat(1, matSize, CvType.CV_64F, new Scalar(0.0));
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rgba0 = new Mat(matSize, matSize, CvType.CV_8UC4, Scalar.all(0));
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rgba128 = new Mat(matSize, matSize, CvType.CV_8UC4, Scalar.all(128));
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rgbLena = Imgcodecs.imread(OpenCVTestRunner.LENA_PATH);
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grayChess = Imgcodecs.imread(OpenCVTestRunner.CHESS_PATH, 0);
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v1 = new Mat(1, 3, CvType.CV_32F);
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v1.put(0, 0, 1.0, 3.0, 2.0);
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v2 = new Mat(1, 3, CvType.CV_32F);
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v2.put(0, 0, 2.0, 1.0, 3.0);
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protected void tearDown() throws Exception {
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gray_16u_256.release();
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gray_16s_1024.release();
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gray255_32f.release();
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grayRnd_32f.release();
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gray0_32f_1d.release();
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gray0_64f_1d.release();
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protected void runTest() throws Throwable {
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// Do nothing if the precondition does not hold.
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if (isTestCaseEnabled) {
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Log.e(TAG, "Test case \"" + this.getClass().getName() + "\" disabled!");
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protected Mat getMat(int type, double... vals)
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return new Mat(matSize, matSize, type, new Scalar(vals));
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protected Mat makeMask(Mat m, double... vals)
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m.submat(0, m.rows(), 0, m.cols() / 2).setTo(new Scalar(vals));
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public static void fail(String msg) {
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if(msg == "Not yet implemented" && passNYI)
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public static <E extends Number> void assertListEquals(List<E> list1, List<E> list2) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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if (!list1.isEmpty())
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if (list1.get(0) instanceof Float || list1.get(0) instanceof Double)
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertEquals(list1.get(i), list2.get(i));
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public static <E extends Number> void assertListEquals(List<E> list1, List<E> list2, double epsilon) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertTrue(Math.abs(list1.get(i).doubleValue() - list2.get(i).doubleValue()) <= epsilon);
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public static <E extends Number> void assertArrayEquals(E[] ar1, E[] ar2, double epsilon) {
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if (ar1.length != ar2.length) {
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fail("Arrays have different sizes.");
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for (int i = 0; i < ar1.length; i++)
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assertEquals(ar1[i].doubleValue(), ar2[i].doubleValue(), epsilon);
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//assertTrue(Math.abs(ar1[i].doubleValue() - ar2[i].doubleValue()) <= epsilon);
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public static void assertArrayEquals(double[] ar1, double[] ar2, double epsilon) {
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if (ar1.length != ar2.length) {
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fail("Arrays have different sizes.");
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for (int i = 0; i < ar1.length; i++)
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assertEquals(ar1[i], ar2[i], epsilon);
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//assertTrue(Math.abs(ar1[i].doubleValue() - ar2[i].doubleValue()) <= epsilon);
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public static void assertListMatEquals(List<Mat> list1, List<Mat> list2, double epsilon) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertMatEqual(list1.get(i), list2.get(i), epsilon);
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public static void assertListPointEquals(List<Point> list1, List<Point> list2, double epsilon) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertPointEquals(list1.get(i), list2.get(i), epsilon);
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public static void assertArrayPointsEquals(Point[] vp1, Point[] vp2, double epsilon) {
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if (vp1.length != vp2.length) {
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fail("Arrays have different sizes.");
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for (int i = 0; i < vp1.length; i++)
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assertPointEquals(vp1[i], vp2[i], epsilon);
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public static void assertListPoint3Equals(List<Point3> list1, List<Point3> list2, double epsilon) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertPoint3Equals(list1.get(i), list2.get(i), epsilon);
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public static void assertListRectEquals(List<Rect> list1, List<Rect> list2) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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for (int i = 0; i < list1.size(); i++)
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assertRectEquals(list1.get(i), list2.get(i));
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public static void assertRectEquals(Rect expected, Rect actual) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.x, actual.x);
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assertEquals(msg, expected.y, actual.y);
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assertEquals(msg, expected.width, actual.width);
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assertEquals(msg, expected.height, actual.height);
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public static void assertMatEqual(Mat m1, Mat m2) {
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compareMats(m1, m2, true);
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public static void assertMatNotEqual(Mat m1, Mat m2) {
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compareMats(m1, m2, false);
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public static void assertMatEqual(Mat expected, Mat actual, double eps) {
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compareMats(expected, actual, eps, true);
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public static void assertMatNotEqual(Mat expected, Mat actual, double eps) {
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compareMats(expected, actual, eps, false);
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public static void assertKeyPointEqual(KeyPoint expected, KeyPoint actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertTrue(msg, Math.hypot(expected.pt.x - actual.pt.x, expected.pt.y - actual.pt.y) < eps);
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assertTrue(msg, Math.abs(expected.size - actual.size) < eps);
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assertTrue(msg, Math.abs(expected.angle - actual.angle) < eps);
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assertTrue(msg, Math.abs(expected.response - actual.response) < eps);
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assertEquals(msg, expected.octave, actual.octave);
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assertEquals(msg, expected.class_id, actual.class_id);
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public static void assertListKeyPointEquals(List<KeyPoint> expected, List<KeyPoint> actual, double epsilon) {
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assertEquals(expected.size(), actual.size());
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for (int i = 0; i < expected.size(); i++)
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assertKeyPointEqual(expected.get(i), actual.get(i), epsilon);
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public static void assertDMatchEqual(DMatch expected, DMatch actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.queryIdx, actual.queryIdx);
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assertEquals(msg, expected.trainIdx, actual.trainIdx);
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assertEquals(msg, expected.imgIdx, actual.imgIdx);
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assertTrue(msg, Math.abs(expected.distance - actual.distance) < eps);
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public static void assertScalarEqual(Scalar expected, Scalar actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertTrue(msg, Math.abs(expected.val[0] - actual.val[0]) < eps);
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assertTrue(msg, Math.abs(expected.val[1] - actual.val[1]) < eps);
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assertTrue(msg, Math.abs(expected.val[2] - actual.val[2]) < eps);
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assertTrue(msg, Math.abs(expected.val[3] - actual.val[3]) < eps);
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public static void assertArrayDMatchEquals(DMatch[] expected, DMatch[] actual, double epsilon) {
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assertEquals(expected.length, actual.length);
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for (int i = 0; i < expected.length; i++)
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assertDMatchEqual(expected[i], actual[i], epsilon);
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public static void assertListDMatchEquals(List<DMatch> expected, List<DMatch> actual, double epsilon) {
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DMatch expectedArray[] = expected.toArray(new DMatch[0]);
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DMatch actualArray[] = actual.toArray(new DMatch[0]);
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assertArrayDMatchEquals(expectedArray, actualArray, epsilon);
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public static void assertPointEquals(Point expected, Point actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.x, actual.x, eps);
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assertEquals(msg, expected.y, actual.y, eps);
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public static void assertSizeEquals(Size expected, Size actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.width, actual.width, eps);
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assertEquals(msg, expected.height, actual.height, eps);
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public static void assertPoint3Equals(Point3 expected, Point3 actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.x, actual.x, eps);
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assertEquals(msg, expected.y, actual.y, eps);
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assertEquals(msg, expected.z, actual.z, eps);
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static private void compareMats(Mat expected, Mat actual, boolean isEqualityMeasured) {
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if (expected.type() != actual.type() || expected.cols() != actual.cols() || expected.rows() != actual.rows()) {
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throw new UnsupportedOperationException("Can not compare " + expected + " and " + actual);
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if (expected.depth() == CvType.CV_32F || expected.depth() == CvType.CV_64F) {
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if (isEqualityMeasured)
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throw new UnsupportedOperationException(
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"Floating-point Mats must not be checked for exact match. Use assertMatEqual(Mat expected, Mat actual, double eps) instead.");
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throw new UnsupportedOperationException(
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"Floating-point Mats must not be checked for exact match. Use assertMatNotEqual(Mat expected, Mat actual, double eps) instead.");
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Mat diff = new Mat();
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Core.absdiff(expected, actual, diff);
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Mat reshaped = diff.reshape(1);
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int mistakes = Core.countNonZero(reshaped);
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if (isEqualityMeasured)
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assertTrue("Mats are different in " + mistakes + " points", 0 == mistakes);
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assertFalse("Mats are equal", 0 == mistakes);
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static private void compareMats(Mat expected, Mat actual, double eps, boolean isEqualityMeasured) {
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if (expected.type() != actual.type() || expected.cols() != actual.cols() || expected.rows() != actual.rows()) {
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throw new UnsupportedOperationException("Can not compare " + expected + " and " + actual);
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Mat diff = new Mat();
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Core.absdiff(expected, actual, diff);
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double maxDiff = Core.norm(diff, Core.NORM_INF);
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if (isEqualityMeasured)
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assertTrue("Max difference between expected and actiual Mats is "+ maxDiff + ", that bigger than " + eps,
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Core.checkRange(diff, true, 0.0, eps));
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assertFalse("Max difference between expected and actiual Mats is "+ maxDiff + ", that less than " + eps,
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Core.checkRange(diff, true, 0.0, eps));
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protected static String readFile(String path) {
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BufferedReader br = new BufferedReader(new FileReader(path));
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StringBuffer result = new StringBuffer();
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while ((line = br.readLine()) != null) {
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return result.toString();
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} catch (IOException e) {
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OpenCVTestRunner.Log("Failed to read file \"" + path
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+ "\". Exception is thrown: " + e);
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protected static void writeFile(String path, String content) {
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FileOutputStream stream = null;
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stream = new FileOutputStream(new File(path));
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FileChannel fc = stream.getChannel();
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fc.write(Charset.defaultCharset().encode(content));
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} catch (IOException e) {
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OpenCVTestRunner.Log("Failed to write file \"" + path
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+ "\". Exception is thrown: " + e);
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} catch (IOException e) {
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OpenCVTestRunner.Log("Exception is thrown: " + e);