| /*M/////////////////////////////////////////////////////////////////////////////////////// |
| // |
| // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
| // |
| // By downloading, copying, installing or using the software you agree to this license. |
| // If you do not agree to this license, do not download, install, |
| // copy or use the software. |
| // |
| // |
| // License Agreement |
| // For Open Source Computer Vision Library |
| // |
| // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
| // Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
| // Third party copyrights are property of their respective owners. |
| // |
| // Redistribution and use in source and binary forms, with or without modification, |
| // are permitted provided that the following conditions are met: |
| // |
| // * Redistribution's of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // |
| // * Redistribution's in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // |
| // * The name of the copyright holders may not be used to endorse or promote products |
| // derived from this software without specific prior written permission. |
| // |
| // This software is provided by the copyright holders and contributors "as is" and |
| // any express or implied warranties, including, but not limited to, the implied |
| // warranties of merchantability and fitness for a particular purpose are disclaimed. |
| // In no event shall the Intel Corporation or contributors be liable for any direct, |
| // indirect, incidental, special, exemplary, or consequential damages |
| // (including, but not limited to, procurement of substitute goods or services; |
| // loss of use, data, or profits; or business interruption) however caused |
| // and on any theory of liability, whether in contract, strict liability, |
| // or tort (including negligence or otherwise) arising in any way out of |
| // the use of this software, even if advised of the possibility of such damage. |
| // |
| //M*/ |
| |
| #include "test_precomp.hpp" |
| |
| #include <string> |
| #include <iostream> |
| #include <fstream> |
| #include <iterator> |
| #include <limits> |
| #include <numeric> |
| |
| using namespace cv; |
| using namespace std; |
| |
| |
| class CV_OperationsTest : public cvtest::BaseTest |
| { |
| public: |
| CV_OperationsTest(); |
| ~CV_OperationsTest(); |
| protected: |
| void run(int); |
| |
| struct test_excep |
| { |
| test_excep(const string& _s=string("")) : s(_s) { } |
| string s; |
| }; |
| |
| bool SomeMatFunctions(); |
| bool TestMat(); |
| template<typename _Tp> void TestType(Size sz, _Tp value); |
| bool TestTemplateMat(); |
| bool TestMatND(); |
| bool TestSparseMat(); |
| bool TestVec(); |
| bool TestMatxMultiplication(); |
| bool TestMatxElementwiseDivison(); |
| bool TestSubMatAccess(); |
| bool TestExp(); |
| bool TestSVD(); |
| bool operations1(); |
| |
| void checkDiff(const Mat& m1, const Mat& m2, const string& s) |
| { |
| if (cvtest::norm(m1, m2, NORM_INF) != 0) throw test_excep(s); |
| } |
| void checkDiffF(const Mat& m1, const Mat& m2, const string& s) |
| { |
| if (cvtest::norm(m1, m2, NORM_INF) > 1e-5) throw test_excep(s); |
| } |
| }; |
| |
| CV_OperationsTest::CV_OperationsTest() |
| { |
| } |
| |
| CV_OperationsTest::~CV_OperationsTest() {} |
| |
| #define STR(a) STR2(a) |
| #define STR2(a) #a |
| |
| #define CHECK_DIFF(a, b) checkDiff(a, b, "(" #a ") != (" #b ") at l." STR(__LINE__)) |
| #define CHECK_DIFF_FLT(a, b) checkDiffF(a, b, "(" #a ") !=(eps) (" #b ") at l." STR(__LINE__)) |
| |
| #if defined _MSC_VER && _MSC_VER < 1400 |
| #define MSVC_OLD 1 |
| #else |
| #define MSVC_OLD 0 |
| #endif |
| |
| template<typename _Tp> void CV_OperationsTest::TestType(Size sz, _Tp value) |
| { |
| cv::Mat_<_Tp> m(sz); |
| CV_Assert(m.cols == sz.width && m.rows == sz.height && m.depth() == DataType<_Tp>::depth && |
| m.channels() == DataType<_Tp>::channels && |
| m.elemSize() == sizeof(_Tp) && m.step == m.elemSize()*m.cols); |
| for( int y = 0; y < sz.height; y++ ) |
| for( int x = 0; x < sz.width; x++ ) |
| { |
| m(y,x) = value; |
| } |
| |
| double s = sum(Mat(m).reshape(1))[0]; |
| CV_Assert( s == (double)sz.width*sz.height ); |
| } |
| |
| bool CV_OperationsTest::TestMat() |
| { |
| try |
| { |
| Mat one_3x1(3, 1, CV_32F, Scalar(1.0)); |
| Mat shi_3x1(3, 1, CV_32F, Scalar(1.2)); |
| Mat shi_2x1(2, 1, CV_32F, Scalar(-1)); |
| Scalar shift = Scalar::all(15); |
| |
| float data[] = { sqrt(2.f)/2, -sqrt(2.f)/2, 1.f, sqrt(2.f)/2, sqrt(2.f)/2, 10.f }; |
| Mat rot_2x3(2, 3, CV_32F, data); |
| |
| Mat res = one_3x1 + shi_3x1 + shi_3x1 + shi_3x1; |
| res = Mat(Mat(2 * rot_2x3) * res - shi_2x1) + shift; |
| |
| Mat tmp, res2; |
| add(one_3x1, shi_3x1, tmp); |
| add(tmp, shi_3x1, tmp); |
| add(tmp, shi_3x1, tmp); |
| gemm(rot_2x3, tmp, 2, shi_2x1, -1, res2, 0); |
| add(res2, Mat(2, 1, CV_32F, shift), res2); |
| |
| CHECK_DIFF(res, res2); |
| |
| Mat mat4x4(4, 4, CV_32F); |
| randu(mat4x4, Scalar(0), Scalar(10)); |
| |
| Mat roi1 = mat4x4(Rect(Point(1, 1), Size(2, 2))); |
| Mat roi2 = mat4x4(Range(1, 3), Range(1, 3)); |
| |
| CHECK_DIFF(roi1, roi2); |
| CHECK_DIFF(mat4x4, mat4x4(Rect(Point(0,0), mat4x4.size()))); |
| |
| Mat intMat10(3, 3, CV_32S, Scalar(10)); |
| Mat intMat11(3, 3, CV_32S, Scalar(11)); |
| Mat resMat(3, 3, CV_8U, Scalar(255)); |
| |
| CHECK_DIFF(resMat, intMat10 == intMat10); |
| CHECK_DIFF(resMat, intMat10 < intMat11); |
| CHECK_DIFF(resMat, intMat11 > intMat10); |
| CHECK_DIFF(resMat, intMat10 <= intMat11); |
| CHECK_DIFF(resMat, intMat11 >= intMat10); |
| CHECK_DIFF(resMat, intMat11 != intMat10); |
| |
| CHECK_DIFF(resMat, intMat10 == 10.0); |
| CHECK_DIFF(resMat, 10.0 == intMat10); |
| CHECK_DIFF(resMat, intMat10 < 11.0); |
| CHECK_DIFF(resMat, 11.0 > intMat10); |
| CHECK_DIFF(resMat, 10.0 < intMat11); |
| CHECK_DIFF(resMat, 11.0 >= intMat10); |
| CHECK_DIFF(resMat, 10.0 <= intMat11); |
| CHECK_DIFF(resMat, 10.0 != intMat11); |
| CHECK_DIFF(resMat, intMat11 != 10.0); |
| |
| Mat eye = Mat::eye(3, 3, CV_16S); |
| Mat maskMat4(3, 3, CV_16S, Scalar(4)); |
| Mat maskMat1(3, 3, CV_16S, Scalar(1)); |
| Mat maskMat5(3, 3, CV_16S, Scalar(5)); |
| Mat maskMat0(3, 3, CV_16S, Scalar(0)); |
| |
| CHECK_DIFF(maskMat0, maskMat4 & maskMat1); |
| CHECK_DIFF(maskMat0, Scalar(1) & maskMat4); |
| CHECK_DIFF(maskMat0, maskMat4 & Scalar(1)); |
| |
| Mat m; |
| m = maskMat4.clone(); m &= maskMat1; CHECK_DIFF(maskMat0, m); |
| m = maskMat4.clone(); m &= maskMat1 | maskMat1; CHECK_DIFF(maskMat0, m); |
| m = maskMat4.clone(); m &= (2* maskMat1 - maskMat1); CHECK_DIFF(maskMat0, m); |
| |
| m = maskMat4.clone(); m &= Scalar(1); CHECK_DIFF(maskMat0, m); |
| m = maskMat4.clone(); m |= maskMat1; CHECK_DIFF(maskMat5, m); |
| m = maskMat5.clone(); m ^= maskMat1; CHECK_DIFF(maskMat4, m); |
| m = maskMat4.clone(); m |= (2* maskMat1 - maskMat1); CHECK_DIFF(maskMat5, m); |
| m = maskMat5.clone(); m ^= (2* maskMat1 - maskMat1); CHECK_DIFF(maskMat4, m); |
| |
| m = maskMat4.clone(); m |= Scalar(1); CHECK_DIFF(maskMat5, m); |
| m = maskMat5.clone(); m ^= Scalar(1); CHECK_DIFF(maskMat4, m); |
| |
| |
| |
| CHECK_DIFF(maskMat0, (maskMat4 | maskMat4) & (maskMat1 | maskMat1)); |
| CHECK_DIFF(maskMat0, (maskMat4 | maskMat4) & maskMat1); |
| CHECK_DIFF(maskMat0, maskMat4 & (maskMat1 | maskMat1)); |
| CHECK_DIFF(maskMat0, (maskMat1 | maskMat1) & Scalar(4)); |
| CHECK_DIFF(maskMat0, Scalar(4) & (maskMat1 | maskMat1)); |
| |
| CHECK_DIFF(maskMat0, maskMat5 ^ (maskMat4 | maskMat1)); |
| CHECK_DIFF(maskMat0, (maskMat4 | maskMat1) ^ maskMat5); |
| CHECK_DIFF(maskMat0, (maskMat4 + maskMat1) ^ (maskMat4 + maskMat1)); |
| CHECK_DIFF(maskMat0, Scalar(5) ^ (maskMat4 | Scalar(1))); |
| CHECK_DIFF(maskMat1, Scalar(5) ^ maskMat4); |
| CHECK_DIFF(maskMat0, Scalar(5) ^ (maskMat4 + maskMat1)); |
| CHECK_DIFF(maskMat5, Scalar(5) | (maskMat4 + maskMat1)); |
| CHECK_DIFF(maskMat0, (maskMat4 + maskMat1) ^ Scalar(5)); |
| |
| CHECK_DIFF(maskMat5, maskMat5 | (maskMat4 ^ maskMat1)); |
| CHECK_DIFF(maskMat5, (maskMat4 ^ maskMat1) | maskMat5); |
| CHECK_DIFF(maskMat5, maskMat5 | (maskMat4 ^ Scalar(1))); |
| CHECK_DIFF(maskMat5, (maskMat4 | maskMat4) | Scalar(1)); |
| CHECK_DIFF(maskMat5, Scalar(1) | (maskMat4 | maskMat4)); |
| CHECK_DIFF(maskMat5, Scalar(1) | maskMat4); |
| CHECK_DIFF(maskMat5, (maskMat5 | maskMat5) | (maskMat4 ^ maskMat1)); |
| |
| CHECK_DIFF(maskMat1, min(maskMat1, maskMat5)); |
| CHECK_DIFF(maskMat1, min(Mat(maskMat1 | maskMat1), maskMat5 | maskMat5)); |
| CHECK_DIFF(maskMat5, max(maskMat1, maskMat5)); |
| CHECK_DIFF(maskMat5, max(Mat(maskMat1 | maskMat1), maskMat5 | maskMat5)); |
| |
| CHECK_DIFF(maskMat1, min(maskMat1, maskMat5 | maskMat5)); |
| CHECK_DIFF(maskMat1, min(maskMat1 | maskMat1, maskMat5)); |
| CHECK_DIFF(maskMat5, max(maskMat1 | maskMat1, maskMat5)); |
| CHECK_DIFF(maskMat5, max(maskMat1, maskMat5 | maskMat5)); |
| |
| CHECK_DIFF(~maskMat1, maskMat1 ^ -1); |
| CHECK_DIFF(~(maskMat1 | maskMat1), maskMat1 ^ -1); |
| |
| CHECK_DIFF(maskMat1, maskMat4/4.0); |
| |
| ///////////////////////////// |
| |
| CHECK_DIFF(1.0 - (maskMat5 | maskMat5), -maskMat4); |
| CHECK_DIFF((maskMat4 | maskMat4) * 1.0 + 1.0, maskMat5); |
| CHECK_DIFF(1.0 + (maskMat4 | maskMat4) * 1.0, maskMat5); |
| CHECK_DIFF((maskMat5 | maskMat5) * 1.0 - 1.0, maskMat4); |
| CHECK_DIFF(5.0 - (maskMat4 | maskMat4) * 1.0, maskMat1); |
| CHECK_DIFF((maskMat4 | maskMat4) * 1.0 + 0.5 + 0.5, maskMat5); |
| CHECK_DIFF(0.5 + ((maskMat4 | maskMat4) * 1.0 + 0.5), maskMat5); |
| CHECK_DIFF(((maskMat4 | maskMat4) * 1.0 + 2.0) - 1.0, maskMat5); |
| CHECK_DIFF(5.0 - ((maskMat1 | maskMat1) * 1.0 + 3.0), maskMat1); |
| CHECK_DIFF( ( (maskMat1 | maskMat1) * 2.0 + 2.0) * 1.25, maskMat5); |
| CHECK_DIFF( 1.25 * ( (maskMat1 | maskMat1) * 2.0 + 2.0), maskMat5); |
| CHECK_DIFF( -( (maskMat1 | maskMat1) * (-2.0) + 1.0), maskMat1); |
| CHECK_DIFF( maskMat1 * 1.0 + maskMat4 * 0.5 + 2.0, maskMat5); |
| CHECK_DIFF( 1.0 + (maskMat1 * 1.0 + maskMat4 * 0.5 + 1.0), maskMat5); |
| CHECK_DIFF( (maskMat1 * 1.0 + maskMat4 * 0.5 + 2.0) - 1.0, maskMat4); |
| CHECK_DIFF(5.0 - (maskMat1 * 1.0 + maskMat4 * 0.5 + 1.0), maskMat1); |
| CHECK_DIFF((maskMat1 * 1.0 + maskMat4 * 0.5 + 1.0)*1.25, maskMat5); |
| CHECK_DIFF(1.25 * (maskMat1 * 1.0 + maskMat4 * 0.5 + 1.0), maskMat5); |
| CHECK_DIFF(-(maskMat1 * 2.0 + maskMat4 * (-1) + 1.0), maskMat1); |
| CHECK_DIFF((maskMat1 * 1.0 + maskMat4), maskMat5); |
| CHECK_DIFF((maskMat4 + maskMat1 * 1.0), maskMat5); |
| CHECK_DIFF((maskMat1 * 3.0 + 1.0) + maskMat1, maskMat5); |
| CHECK_DIFF(maskMat1 + (maskMat1 * 3.0 + 1.0), maskMat5); |
| CHECK_DIFF(maskMat1*4.0 + (maskMat1 | maskMat1), maskMat5); |
| CHECK_DIFF((maskMat1 | maskMat1) + maskMat1*4.0, maskMat5); |
| CHECK_DIFF((maskMat1*3.0 + 1.0) + (maskMat1 | maskMat1), maskMat5); |
| CHECK_DIFF((maskMat1 | maskMat1) + (maskMat1*3.0 + 1.0), maskMat5); |
| CHECK_DIFF(maskMat1*4.0 + maskMat4*2.0, maskMat1 * 12); |
| CHECK_DIFF((maskMat1*3.0 + 1.0) + maskMat4*2.0, maskMat1 * 12); |
| CHECK_DIFF(maskMat4*2.0 + (maskMat1*3.0 + 1.0), maskMat1 * 12); |
| CHECK_DIFF((maskMat1*3.0 + 1.0) + (maskMat1*2.0 + 2.0), maskMat1 * 8); |
| |
| CHECK_DIFF(maskMat5*1.0 - maskMat4, maskMat1); |
| CHECK_DIFF(maskMat5 - maskMat1 * 4.0, maskMat1); |
| CHECK_DIFF((maskMat4 * 1.0 + 4.0)- maskMat4, maskMat4); |
| CHECK_DIFF(maskMat5 - (maskMat1 * 2.0 + 2.0), maskMat1); |
| CHECK_DIFF(maskMat5*1.0 - (maskMat4 | maskMat4), maskMat1); |
| CHECK_DIFF((maskMat5 | maskMat5) - maskMat1 * 4.0, maskMat1); |
| CHECK_DIFF((maskMat4 * 1.0 + 4.0)- (maskMat4 | maskMat4), maskMat4); |
| CHECK_DIFF((maskMat5 | maskMat5) - (maskMat1 * 2.0 + 2.0), maskMat1); |
| CHECK_DIFF(maskMat1*5.0 - maskMat4 * 1.0, maskMat1); |
| CHECK_DIFF((maskMat1*5.0 + 3.0)- maskMat4 * 1.0, maskMat4); |
| CHECK_DIFF(maskMat4 * 2.0 - (maskMat1*4.0 + 3.0), maskMat1); |
| CHECK_DIFF((maskMat1 * 2.0 + 3.0) - (maskMat1*3.0 + 1.0), maskMat1); |
| |
| CHECK_DIFF((maskMat5 - maskMat4)* 4.0, maskMat4); |
| CHECK_DIFF(4.0 * (maskMat5 - maskMat4), maskMat4); |
| |
| CHECK_DIFF(-((maskMat4 | maskMat4) - (maskMat5 | maskMat5)), maskMat1); |
| |
| CHECK_DIFF(4.0 * (maskMat1 | maskMat1), maskMat4); |
| CHECK_DIFF((maskMat4 | maskMat4)/4.0, maskMat1); |
| |
| #if !MSVC_OLD |
| CHECK_DIFF(2.0 * (maskMat1 * 2.0) , maskMat4); |
| #endif |
| CHECK_DIFF((maskMat4 / 2.0) / 2.0 , maskMat1); |
| CHECK_DIFF(-(maskMat4 - maskMat5) , maskMat1); |
| CHECK_DIFF(-((maskMat4 - maskMat5) * 1.0), maskMat1); |
| |
| |
| ///////////////////////////// |
| CHECK_DIFF(maskMat4 / maskMat4, maskMat1); |
| |
| ///// Element-wise multiplication |
| |
| CHECK_DIFF(maskMat4.mul(maskMat4, 0.25), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat1 * 4, 0.25), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat4 / 4), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat4 / 4), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat4) * 0.25, maskMat4); |
| CHECK_DIFF(0.25 * maskMat4.mul(maskMat4), maskMat4); |
| |
| ////// Element-wise division |
| |
| CHECK_DIFF(maskMat4 / maskMat4, maskMat1); |
| CHECK_DIFF((maskMat4 & maskMat4) / (maskMat1 * 4), maskMat1); |
| |
| CHECK_DIFF((maskMat4 & maskMat4) / maskMat4, maskMat1); |
| CHECK_DIFF(maskMat4 / (maskMat4 & maskMat4), maskMat1); |
| CHECK_DIFF((maskMat1 * 4) / maskMat4, maskMat1); |
| |
| CHECK_DIFF(maskMat4 / (maskMat1 * 4), maskMat1); |
| CHECK_DIFF((maskMat4 * 0.5 )/ (maskMat1 * 2), maskMat1); |
| |
| CHECK_DIFF(maskMat4 / maskMat4.mul(maskMat1), maskMat1); |
| CHECK_DIFF((maskMat4 & maskMat4) / maskMat4.mul(maskMat1), maskMat1); |
| |
| CHECK_DIFF(4.0 / maskMat4, maskMat1); |
| CHECK_DIFF(4.0 / (maskMat4 | maskMat4), maskMat1); |
| CHECK_DIFF(4.0 / (maskMat1 * 4.0), maskMat1); |
| CHECK_DIFF(4.0 / (maskMat4 / maskMat1), maskMat1); |
| |
| m = maskMat4.clone(); m/=4.0; CHECK_DIFF(m, maskMat1); |
| m = maskMat4.clone(); m/=maskMat4; CHECK_DIFF(m, maskMat1); |
| m = maskMat4.clone(); m/=(maskMat1 * 4.0); CHECK_DIFF(m, maskMat1); |
| m = maskMat4.clone(); m/=(maskMat4 / maskMat1); CHECK_DIFF(m, maskMat1); |
| |
| ///////////////////////////// |
| float matrix_data[] = { 3, 1, -4, -5, 1, 0, 0, 1.1f, 1.5f}; |
| Mat mt(3, 3, CV_32F, matrix_data); |
| Mat mi = mt.inv(); |
| Mat d1 = Mat::eye(3, 3, CV_32F); |
| Mat d2 = d1 * 2; |
| MatExpr mt_tr = mt.t(); |
| MatExpr mi_tr = mi.t(); |
| Mat mi2 = mi * 2; |
| |
| |
| CHECK_DIFF_FLT( mi2 * mt, d2 ); |
| CHECK_DIFF_FLT( mi * mt, d1 ); |
| CHECK_DIFF_FLT( mt_tr * mi_tr, d1 ); |
| |
| m = mi.clone(); m*=mt; CHECK_DIFF_FLT(m, d1); |
| m = mi.clone(); m*= (2 * mt - mt) ; CHECK_DIFF_FLT(m, d1); |
| |
| m = maskMat4.clone(); m+=(maskMat1 * 1.0); CHECK_DIFF(m, maskMat5); |
| m = maskMat5.clone(); m-=(maskMat1 * 4.0); CHECK_DIFF(m, maskMat1); |
| |
| m = maskMat1.clone(); m+=(maskMat1 * 3.0 + 1.0); CHECK_DIFF(m, maskMat5); |
| m = maskMat5.clone(); m-=(maskMat1 * 3.0 + 1.0); CHECK_DIFF(m, maskMat1); |
| #if !MSVC_OLD |
| m = mi.clone(); m+=(3.0 * mi * mt + d1); CHECK_DIFF_FLT(m, mi + d1 * 4); |
| m = mi.clone(); m-=(3.0 * mi * mt + d1); CHECK_DIFF_FLT(m, mi - d1 * 4); |
| m = mi.clone(); m*=(mt * 1.0); CHECK_DIFF_FLT(m, d1); |
| m = mi.clone(); m*=(mt * 1.0 + Mat::eye(m.size(), m.type())); CHECK_DIFF_FLT(m, d1 + mi); |
| m = mi.clone(); m*=mt_tr.t(); CHECK_DIFF_FLT(m, d1); |
| |
| CHECK_DIFF_FLT( (mi * 2) * mt, d2); |
| CHECK_DIFF_FLT( mi * (2 * mt), d2); |
| CHECK_DIFF_FLT( mt.t() * mi_tr, d1 ); |
| CHECK_DIFF_FLT( mt_tr * mi.t(), d1 ); |
| CHECK_DIFF_FLT( (mi * 0.4) * (mt * 5), d2); |
| |
| CHECK_DIFF_FLT( mt.t() * (mi_tr * 2), d2 ); |
| CHECK_DIFF_FLT( (mt_tr * 2) * mi.t(), d2 ); |
| |
| CHECK_DIFF_FLT(mt.t() * mi.t(), d1); |
| CHECK_DIFF_FLT( (mi * mt) * 2.0, d2); |
| CHECK_DIFF_FLT( 2.0 * (mi * mt), d2); |
| CHECK_DIFF_FLT( -(mi * mt), -d1); |
| |
| CHECK_DIFF_FLT( (mi * mt) / 2.0, d1 / 2); |
| |
| Mat mt_mul_2_plus_1; |
| gemm(mt, d1, 2, Mat::ones(3, 3, CV_32F), 1, mt_mul_2_plus_1); |
| |
| CHECK_DIFF( (mt * 2.0 + 1.0) * mi, mt_mul_2_plus_1 * mi); // (A*alpha + beta)*B |
| CHECK_DIFF( mi * (mt * 2.0 + 1.0), mi * mt_mul_2_plus_1); // A*(B*alpha + beta) |
| CHECK_DIFF( (mt * 2.0 + 1.0) * (mi * 2), mt_mul_2_plus_1 * mi2); // (A*alpha + beta)*(B*gamma) |
| CHECK_DIFF( (mi *2)* (mt * 2.0 + 1.0), mi2 * mt_mul_2_plus_1); // (A*gamma)*(B*alpha + beta) |
| CHECK_DIFF_FLT( (mt * 2.0 + 1.0) * mi.t(), mt_mul_2_plus_1 * mi_tr); // (A*alpha + beta)*B^t |
| CHECK_DIFF_FLT( mi.t() * (mt * 2.0 + 1.0), mi_tr * mt_mul_2_plus_1); // A^t*(B*alpha + beta) |
| |
| CHECK_DIFF_FLT( (mi * mt + d2)*5, d1 * 3 * 5); |
| CHECK_DIFF_FLT( mi * mt + d2, d1 * 3); |
| CHECK_DIFF_FLT( -(mi * mt) + d2, d1); |
| CHECK_DIFF_FLT( (mi * mt) + d1, d2); |
| CHECK_DIFF_FLT( d1 + (mi * mt), d2); |
| CHECK_DIFF_FLT( (mi * mt) - d2, -d1); |
| CHECK_DIFF_FLT( d2 - (mi * mt), d1); |
| |
| CHECK_DIFF_FLT( (mi * mt) + d2 * 0.5, d2); |
| CHECK_DIFF_FLT( d2 * 0.5 + (mi * mt), d2); |
| CHECK_DIFF_FLT( (mi * mt) - d1 * 2, -d1); |
| CHECK_DIFF_FLT( d1 * 2 - (mi * mt), d1); |
| |
| CHECK_DIFF_FLT( (mi * mt) + mi.t(), mi_tr + d1); |
| CHECK_DIFF_FLT( mi.t() + (mi * mt), mi_tr + d1); |
| CHECK_DIFF_FLT( (mi * mt) - mi.t(), d1 - mi_tr); |
| CHECK_DIFF_FLT( mi.t() - (mi * mt), mi_tr - d1); |
| |
| CHECK_DIFF_FLT( 2.0 *(mi * mt + d2), d1 * 6); |
| CHECK_DIFF_FLT( -(mi * mt + d2), d1 * -3); |
| |
| CHECK_DIFF_FLT(mt.inv() * mt, d1); |
| |
| CHECK_DIFF_FLT(mt.inv() * (2*mt - mt), d1); |
| #endif |
| } |
| catch (const test_excep& e) |
| { |
| ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| bool CV_OperationsTest::SomeMatFunctions() |
| { |
| try |
| { |
| Mat rgba( 10, 10, CV_8UC4, Scalar(1,2,3,4) ); |
| Mat bgr( rgba.rows, rgba.cols, CV_8UC3 ); |
| Mat alpha( rgba.rows, rgba.cols, CV_8UC1 ); |
| Mat out[] = { bgr, alpha }; |
| // rgba[0] -> bgr[2], rgba[1] -> bgr[1], |
| // rgba[2] -> bgr[0], rgba[3] -> alpha[0] |
| int from_to[] = { 0,2, 1,1, 2,0, 3,3 }; |
| mixChannels( &rgba, 1, out, 2, from_to, 4 ); |
| |
| Mat bgr_exp( rgba.size(), CV_8UC3, Scalar(3,2,1)); |
| Mat alpha_exp( rgba.size(), CV_8UC1, Scalar(4)); |
| |
| CHECK_DIFF(bgr_exp, bgr); |
| CHECK_DIFF(alpha_exp, alpha); |
| } |
| catch (const test_excep& e) |
| { |
| ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| |
| } |
| |
| |
| bool CV_OperationsTest::TestSubMatAccess() |
| { |
| try |
| { |
| Mat_<float> T_bs(4,4); |
| Vec3f cdir(1.f, 1.f, 0.f); |
| Vec3f ydir(1.f, 0.f, 1.f); |
| Vec3f fpt(0.1f, 0.7f, 0.2f); |
| T_bs.setTo(0); |
| T_bs(Range(0,3),Range(2,3)) = 1.0*Mat(cdir); // wierd OpenCV stuff, need to do multiply |
| T_bs(Range(0,3),Range(1,2)) = 1.0*Mat(ydir); |
| T_bs(Range(0,3),Range(0,1)) = 1.0*Mat(cdir.cross(ydir)); |
| T_bs(Range(0,3),Range(3,4)) = 1.0*Mat(fpt); |
| T_bs(3,3) = 1.0; |
| //std::cout << "[Nav Grok] S frame =" << std::endl << T_bs << std::endl; |
| |
| // set up display coords, really just the S frame |
| std::vector<float>coords; |
| |
| for (int i=0; i<16; i++) |
| { |
| coords.push_back(T_bs(i)); |
| //std::cout << T_bs1(i) << std::endl; |
| } |
| CV_Assert( cvtest::norm(coords, T_bs.reshape(1,1), NORM_INF) == 0 ); |
| } |
| catch (const test_excep& e) |
| { |
| ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| bool CV_OperationsTest::TestTemplateMat() |
| { |
| try |
| { |
| Mat_<float> one_3x1(3, 1, 1.0f); |
| Mat_<float> shi_3x1(3, 1, 1.2f); |
| Mat_<float> shi_2x1(2, 1, -2); |
| Scalar shift = Scalar::all(15); |
| |
| float data[] = { sqrt(2.f)/2, -sqrt(2.f)/2, 1.f, sqrt(2.f)/2, sqrt(2.f)/2, 10.f }; |
| Mat_<float> rot_2x3(2, 3, data); |
| |
| Mat_<float> res = Mat(Mat(2 * rot_2x3) * Mat(one_3x1 + shi_3x1 + shi_3x1 + shi_3x1) - shi_2x1) + shift; |
| Mat_<float> resS = rot_2x3 * one_3x1; |
| |
| Mat_<float> tmp, res2, resS2; |
| add(one_3x1, shi_3x1, tmp); |
| add(tmp, shi_3x1, tmp); |
| add(tmp, shi_3x1, tmp); |
| gemm(rot_2x3, tmp, 2, shi_2x1, -1, res2, 0); |
| add(res2, Mat(2, 1, CV_32F, shift), res2); |
| |
| gemm(rot_2x3, one_3x1, 1, shi_2x1, 0, resS2, 0); |
| CHECK_DIFF(res, res2); |
| CHECK_DIFF(resS, resS2); |
| |
| |
| Mat_<float> mat4x4(4, 4); |
| randu(mat4x4, Scalar(0), Scalar(10)); |
| |
| Mat_<float> roi1 = mat4x4(Rect(Point(1, 1), Size(2, 2))); |
| Mat_<float> roi2 = mat4x4(Range(1, 3), Range(1, 3)); |
| |
| CHECK_DIFF(roi1, roi2); |
| CHECK_DIFF(mat4x4, mat4x4(Rect(Point(0,0), mat4x4.size()))); |
| |
| Mat_<int> intMat10(3, 3, 10); |
| Mat_<int> intMat11(3, 3, 11); |
| Mat_<uchar> resMat(3, 3, 255); |
| |
| CHECK_DIFF(resMat, intMat10 == intMat10); |
| CHECK_DIFF(resMat, intMat10 < intMat11); |
| CHECK_DIFF(resMat, intMat11 > intMat10); |
| CHECK_DIFF(resMat, intMat10 <= intMat11); |
| CHECK_DIFF(resMat, intMat11 >= intMat10); |
| |
| CHECK_DIFF(resMat, intMat10 == 10.0); |
| CHECK_DIFF(resMat, intMat10 < 11.0); |
| CHECK_DIFF(resMat, intMat11 > 10.0); |
| CHECK_DIFF(resMat, intMat10 <= 11.0); |
| CHECK_DIFF(resMat, intMat11 >= 10.0); |
| |
| Mat_<uchar> maskMat4(3, 3, 4); |
| Mat_<uchar> maskMat1(3, 3, 1); |
| Mat_<uchar> maskMat5(3, 3, 5); |
| Mat_<uchar> maskMat0(3, 3, (uchar)0); |
| |
| CHECK_DIFF(maskMat0, maskMat4 & maskMat1); |
| CHECK_DIFF(maskMat0, Scalar(1) & maskMat4); |
| CHECK_DIFF(maskMat0, maskMat4 & Scalar(1)); |
| |
| Mat_<uchar> m; |
| m = maskMat4.clone(); m&=maskMat1; CHECK_DIFF(maskMat0, m); |
| m = maskMat4.clone(); m&=Scalar(1); CHECK_DIFF(maskMat0, m); |
| |
| m = maskMat4.clone(); m|=maskMat1; CHECK_DIFF(maskMat5, m); |
| m = maskMat4.clone(); m^=maskMat1; CHECK_DIFF(maskMat5, m); |
| |
| CHECK_DIFF(maskMat0, (maskMat4 | maskMat4) & (maskMat1 | maskMat1)); |
| CHECK_DIFF(maskMat0, (maskMat4 | maskMat4) & maskMat1); |
| CHECK_DIFF(maskMat0, maskMat4 & (maskMat1 | maskMat1)); |
| |
| CHECK_DIFF(maskMat0, maskMat5 ^ (maskMat4 | maskMat1)); |
| CHECK_DIFF(maskMat0, Scalar(5) ^ (maskMat4 | Scalar(1))); |
| |
| CHECK_DIFF(maskMat5, maskMat5 | (maskMat4 ^ maskMat1)); |
| CHECK_DIFF(maskMat5, maskMat5 | (maskMat4 ^ Scalar(1))); |
| |
| CHECK_DIFF(~maskMat1, maskMat1 ^ 0xFF); |
| CHECK_DIFF(~(maskMat1 | maskMat1), maskMat1 ^ 0xFF); |
| |
| CHECK_DIFF(maskMat1 + maskMat4, maskMat5); |
| CHECK_DIFF(maskMat1 + Scalar(4), maskMat5); |
| CHECK_DIFF(Scalar(4) + maskMat1, maskMat5); |
| CHECK_DIFF(Scalar(4) + (maskMat1 & maskMat1), maskMat5); |
| |
| CHECK_DIFF(maskMat1 + 4.0, maskMat5); |
| CHECK_DIFF((maskMat1 & 0xFF) + 4.0, maskMat5); |
| CHECK_DIFF(4.0 + maskMat1, maskMat5); |
| |
| m = maskMat4.clone(); m+=Scalar(1); CHECK_DIFF(m, maskMat5); |
| m = maskMat4.clone(); m+=maskMat1; CHECK_DIFF(m, maskMat5); |
| m = maskMat4.clone(); m+=(maskMat1 | maskMat1); CHECK_DIFF(m, maskMat5); |
| |
| CHECK_DIFF(maskMat5 - maskMat1, maskMat4); |
| CHECK_DIFF(maskMat5 - Scalar(1), maskMat4); |
| CHECK_DIFF((maskMat5 | maskMat5) - Scalar(1), maskMat4); |
| CHECK_DIFF(maskMat5 - 1, maskMat4); |
| CHECK_DIFF((maskMat5 | maskMat5) - 1, maskMat4); |
| CHECK_DIFF((maskMat5 | maskMat5) - (maskMat1 | maskMat1), maskMat4); |
| |
| CHECK_DIFF(maskMat1, min(maskMat1, maskMat5)); |
| CHECK_DIFF(maskMat5, max(maskMat1, maskMat5)); |
| |
| m = maskMat5.clone(); m-=Scalar(1); CHECK_DIFF(m, maskMat4); |
| m = maskMat5.clone(); m-=maskMat1; CHECK_DIFF(m, maskMat4); |
| m = maskMat5.clone(); m-=(maskMat1 | maskMat1); CHECK_DIFF(m, maskMat4); |
| |
| m = maskMat4.clone(); m |= Scalar(1); CHECK_DIFF(maskMat5, m); |
| m = maskMat5.clone(); m ^= Scalar(1); CHECK_DIFF(maskMat4, m); |
| |
| CHECK_DIFF(maskMat1, maskMat4/4.0); |
| |
| Mat_<float> negf(3, 3, -3.0); |
| Mat_<float> posf = -negf; |
| Mat_<float> posf2 = posf * 2; |
| Mat_<int> negi(3, 3, -3); |
| |
| CHECK_DIFF(abs(negf), -negf); |
| CHECK_DIFF(abs(posf - posf2), -negf); |
| CHECK_DIFF(abs(negi), -(negi & negi)); |
| |
| CHECK_DIFF(5.0 - maskMat4, maskMat1); |
| |
| |
| CHECK_DIFF(maskMat4.mul(maskMat4, 0.25), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat1 * 4, 0.25), maskMat4); |
| CHECK_DIFF(maskMat4.mul(maskMat4 / 4), maskMat4); |
| |
| |
| ////// Element-wise division |
| |
| CHECK_DIFF(maskMat4 / maskMat4, maskMat1); |
| CHECK_DIFF(4.0 / maskMat4, maskMat1); |
| m = maskMat4.clone(); m/=4.0; CHECK_DIFF(m, maskMat1); |
| |
| //////////////////////////////// |
| |
| typedef Mat_<int> TestMat_t; |
| |
| const TestMat_t cnegi = negi.clone(); |
| |
| TestMat_t::iterator beg = negi.begin(); |
| TestMat_t::iterator end = negi.end(); |
| |
| TestMat_t::const_iterator cbeg = cnegi.begin(); |
| TestMat_t::const_iterator cend = cnegi.end(); |
| |
| int sum = 0; |
| for(; beg!=end; ++beg) |
| sum+=*beg; |
| |
| for(; cbeg!=cend; ++cbeg) |
| sum-=*cbeg; |
| |
| if (sum != 0) throw test_excep(); |
| |
| CHECK_DIFF(negi.col(1), negi.col(2)); |
| CHECK_DIFF(negi.row(1), negi.row(2)); |
| CHECK_DIFF(negi.col(1), negi.diag()); |
| |
| if (Mat_<Point2f>(1, 1).elemSize1() != sizeof(float)) throw test_excep(); |
| if (Mat_<Point2f>(1, 1).elemSize() != 2 * sizeof(float)) throw test_excep(); |
| if (Mat_<Point2f>(1, 1).depth() != CV_32F) throw test_excep(); |
| if (Mat_<float>(1, 1).depth() != CV_32F) throw test_excep(); |
| if (Mat_<int>(1, 1).depth() != CV_32S) throw test_excep(); |
| if (Mat_<double>(1, 1).depth() != CV_64F) throw test_excep(); |
| if (Mat_<Point3d>(1, 1).depth() != CV_64F) throw test_excep(); |
| if (Mat_<signed char>(1, 1).depth() != CV_8S) throw test_excep(); |
| if (Mat_<unsigned short>(1, 1).depth() != CV_16U) throw test_excep(); |
| if (Mat_<unsigned short>(1, 1).channels() != 1) throw test_excep(); |
| if (Mat_<Point2f>(1, 1).channels() != 2) throw test_excep(); |
| if (Mat_<Point3f>(1, 1).channels() != 3) throw test_excep(); |
| if (Mat_<Point3d>(1, 1).channels() != 3) throw test_excep(); |
| |
| Mat_<uchar> eye = Mat_<uchar>::zeros(2, 2); CHECK_DIFF(Mat_<uchar>::zeros(Size(2, 2)), eye); |
| eye.at<uchar>(Point(0,0)) = 1; eye.at<uchar>(1, 1) = 1; |
| |
| CHECK_DIFF(Mat_<uchar>::eye(2, 2), eye); |
| CHECK_DIFF(eye, Mat_<uchar>::eye(Size(2,2))); |
| |
| Mat_<uchar> ones(2, 2, (uchar)1); |
| CHECK_DIFF(ones, Mat_<uchar>::ones(Size(2,2))); |
| CHECK_DIFF(Mat_<uchar>::ones(2, 2), ones); |
| |
| Mat_<Point2f> pntMat(2, 2, Point2f(1, 0)); |
| if(pntMat.stepT() != 2) throw test_excep(); |
| |
| uchar uchar_data[] = {1, 0, 0, 1}; |
| |
| Mat_<uchar> matFromData(1, 4, uchar_data); |
| const Mat_<uchar> mat2 = matFromData.clone(); |
| CHECK_DIFF(matFromData, eye.reshape(1, 1)); |
| if (matFromData(Point(0,0)) != uchar_data[0])throw test_excep(); |
| if (mat2(Point(0,0)) != uchar_data[0]) throw test_excep(); |
| |
| if (matFromData(0,0) != uchar_data[0])throw test_excep(); |
| if (mat2(0,0) != uchar_data[0]) throw test_excep(); |
| |
| Mat_<uchar> rect(eye, Rect(0, 0, 1, 1)); |
| if (rect.cols != 1 || rect.rows != 1 || rect(0,0) != uchar_data[0]) throw test_excep(); |
| |
| //cv::Mat_<_Tp>::adjustROI(int,int,int,int) |
| //cv::Mat_<_Tp>::cross(const Mat_&) const |
| //cv::Mat_<_Tp>::Mat_(const vector<_Tp>&,bool) |
| //cv::Mat_<_Tp>::Mat_(int,int,_Tp*,size_t) |
| //cv::Mat_<_Tp>::Mat_(int,int,const _Tp&) |
| //cv::Mat_<_Tp>::Mat_(Size,const _Tp&) |
| //cv::Mat_<_Tp>::mul(const Mat_<_Tp>&,double) const |
| //cv::Mat_<_Tp>::mul(const MatExpr_<MatExpr_Op2_<Mat_<_Tp>,double,Mat_<_Tp>,MatOp_DivRS_<Mat> >,Mat_<_Tp> >&,double) const |
| //cv::Mat_<_Tp>::mul(const MatExpr_<MatExpr_Op2_<Mat_<_Tp>,double,Mat_<_Tp>,MatOp_Scale_<Mat> >,Mat_<_Tp> >&,double) const |
| //cv::Mat_<_Tp>::operator Mat_<T2>() const |
| //cv::Mat_<_Tp>::operator MatExpr_<Mat_<_Tp>,Mat_<_Tp> >() const |
| //cv::Mat_<_Tp>::operator()(const Range&,const Range&) const |
| //cv::Mat_<_Tp>::operator()(const Rect&) const |
| |
| //cv::Mat_<_Tp>::operator=(const MatExpr_Base&) |
| //cv::Mat_<_Tp>::operator[](int) const |
| |
| |
| /////////////////////////////// |
| |
| float matrix_data[] = { 3, 1, -4, -5, 1, 0, 0, 1.1f, 1.5f}; |
| Mat_<float> mt(3, 3, matrix_data); |
| Mat_<float> mi = mt.inv(); |
| Mat_<float> d1 = Mat_<float>::eye(3, 3); |
| Mat_<float> d2 = d1 * 2; |
| Mat_<float> mt_tr = mt.t(); |
| Mat_<float> mi_tr = mi.t(); |
| Mat_<float> mi2 = mi * 2; |
| |
| CHECK_DIFF_FLT( mi2 * mt, d2 ); |
| CHECK_DIFF_FLT( mi * mt, d1 ); |
| CHECK_DIFF_FLT( mt_tr * mi_tr, d1 ); |
| |
| Mat_<float> mf; |
| mf = mi.clone(); mf*=mt; CHECK_DIFF_FLT(mf, d1); |
| |
| ////// typedefs ////// |
| |
| if (Mat1b(1, 1).elemSize() != sizeof(uchar)) throw test_excep(); |
| if (Mat2b(1, 1).elemSize() != 2 * sizeof(uchar)) throw test_excep(); |
| if (Mat3b(1, 1).elemSize() != 3 * sizeof(uchar)) throw test_excep(); |
| if (Mat1f(1, 1).elemSize() != sizeof(float)) throw test_excep(); |
| if (Mat2f(1, 1).elemSize() != 2 * sizeof(float)) throw test_excep(); |
| if (Mat3f(1, 1).elemSize() != 3 * sizeof(float)) throw test_excep(); |
| if (Mat1f(1, 1).depth() != CV_32F) throw test_excep(); |
| if (Mat3f(1, 1).depth() != CV_32F) throw test_excep(); |
| if (Mat3f(1, 1).type() != CV_32FC3) throw test_excep(); |
| if (Mat1i(1, 1).depth() != CV_32S) throw test_excep(); |
| if (Mat1d(1, 1).depth() != CV_64F) throw test_excep(); |
| if (Mat1b(1, 1).depth() != CV_8U) throw test_excep(); |
| if (Mat3b(1, 1).type() != CV_8UC3) throw test_excep(); |
| if (Mat1w(1, 1).depth() != CV_16U) throw test_excep(); |
| if (Mat1s(1, 1).depth() != CV_16S) throw test_excep(); |
| if (Mat1f(1, 1).channels() != 1) throw test_excep(); |
| if (Mat1b(1, 1).channels() != 1) throw test_excep(); |
| if (Mat1i(1, 1).channels() != 1) throw test_excep(); |
| if (Mat1w(1, 1).channels() != 1) throw test_excep(); |
| if (Mat1s(1, 1).channels() != 1) throw test_excep(); |
| if (Mat2f(1, 1).channels() != 2) throw test_excep(); |
| if (Mat2b(1, 1).channels() != 2) throw test_excep(); |
| if (Mat2i(1, 1).channels() != 2) throw test_excep(); |
| if (Mat2w(1, 1).channels() != 2) throw test_excep(); |
| if (Mat2s(1, 1).channels() != 2) throw test_excep(); |
| if (Mat3f(1, 1).channels() != 3) throw test_excep(); |
| if (Mat3b(1, 1).channels() != 3) throw test_excep(); |
| if (Mat3i(1, 1).channels() != 3) throw test_excep(); |
| if (Mat3w(1, 1).channels() != 3) throw test_excep(); |
| if (Mat3s(1, 1).channels() != 3) throw test_excep(); |
| |
| vector<Mat_<float> > mvf, mvf2; |
| Mat_<Vec2f> mf2; |
| mvf.push_back(Mat_<float>::ones(4, 3)); |
| mvf.push_back(Mat_<float>::zeros(4, 3)); |
| merge(mvf, mf2); |
| split(mf2, mvf2); |
| CV_Assert( cvtest::norm(mvf2[0], mvf[0], CV_C) == 0 && |
| cvtest::norm(mvf2[1], mvf[1], CV_C) == 0 ); |
| |
| { |
| Mat a(2,2,CV_32F,1.f); |
| Mat b(1,2,CV_32F,1.f); |
| Mat c = (a*b.t()).t(); |
| CV_Assert( cvtest::norm(c, CV_L1) == 4. ); |
| } |
| |
| bool badarg_catched = false; |
| try |
| { |
| Mat m1 = Mat::zeros(1, 10, CV_8UC1); |
| Mat m2 = Mat::zeros(10, 10, CV_8UC3); |
| m1.copyTo(m2.row(1)); |
| } |
| catch(const Exception&) |
| { |
| badarg_catched = true; |
| } |
| CV_Assert( badarg_catched ); |
| |
| Size size(2, 5); |
| TestType<float>(size, 1.f); |
| cv::Vec3f val1 = 1.f; |
| TestType<cv::Vec3f>(size, val1); |
| cv::Matx31f val2 = 1.f; |
| TestType<cv::Matx31f>(size, val2); |
| cv::Matx41f val3 = 1.f; |
| TestType<cv::Matx41f>(size, val3); |
| cv::Matx32f val4 = 1.f; |
| TestType<cv::Matx32f>(size, val4); |
| } |
| catch (const test_excep& e) |
| { |
| ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| bool CV_OperationsTest::TestMatND() |
| { |
| int sizes[] = { 3, 3, 3}; |
| cv::MatND nd(3, sizes, CV_32F); |
| |
| return true; |
| } |
| |
| bool CV_OperationsTest::TestSparseMat() |
| { |
| try |
| { |
| int sizes[] = { 10, 10, 10}; |
| int dims = sizeof(sizes)/sizeof(sizes[0]); |
| SparseMat mat(dims, sizes, CV_32FC2); |
| |
| if (mat.dims() != dims) throw test_excep(); |
| if (mat.channels() != 2) throw test_excep(); |
| if (mat.depth() != CV_32F) throw test_excep(); |
| |
| SparseMat mat2 = mat.clone(); |
| } |
| catch (const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| |
| bool CV_OperationsTest::TestMatxMultiplication() |
| { |
| try |
| { |
| Matx33f mat(1, 1, 1, 0, 1, 1, 0, 0, 1); // Identity matrix |
| Point2f pt(3, 4); |
| Point3f res = mat * pt; // Correctly assumes homogeneous coordinates |
| |
| Vec3f res2 = mat*Vec3f(res.x, res.y, res.z); |
| |
| if(res.x != 8.0) throw test_excep(); |
| if(res.y != 5.0) throw test_excep(); |
| if(res.z != 1.0) throw test_excep(); |
| |
| if(res2[0] != 14.0) throw test_excep(); |
| if(res2[1] != 6.0) throw test_excep(); |
| if(res2[2] != 1.0) throw test_excep(); |
| |
| Matx44f mat44f(1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1); |
| Matx44d mat44d(1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1); |
| Scalar s(4, 3, 2, 1); |
| Scalar sf = mat44f*s; |
| Scalar sd = mat44d*s; |
| |
| if(sf[0] != 10.0) throw test_excep(); |
| if(sf[1] != 6.0) throw test_excep(); |
| if(sf[2] != 3.0) throw test_excep(); |
| if(sf[3] != 1.0) throw test_excep(); |
| |
| if(sd[0] != 10.0) throw test_excep(); |
| if(sd[1] != 6.0) throw test_excep(); |
| if(sd[2] != 3.0) throw test_excep(); |
| if(sd[3] != 1.0) throw test_excep(); |
| } |
| catch(const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
| return false; |
| } |
| return true; |
| } |
| |
| bool CV_OperationsTest::TestMatxElementwiseDivison() |
| { |
| try |
| { |
| Matx22f mat(2, 4, 6, 8); |
| Matx22f mat2(2, 2, 2, 2); |
| |
| Matx22f res = mat.div(mat2); |
| |
| if(res(0, 0) != 1.0) throw test_excep(); |
| if(res(0, 1) != 2.0) throw test_excep(); |
| if(res(1, 0) != 3.0) throw test_excep(); |
| if(res(1, 1) != 4.0) throw test_excep(); |
| } |
| catch(const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
| return false; |
| } |
| return true; |
| } |
| |
| |
| bool CV_OperationsTest::TestVec() |
| { |
| try |
| { |
| cv::Mat hsvImage_f(5, 5, CV_32FC3), hsvImage_b(5, 5, CV_8UC3); |
| int i = 0,j = 0; |
| cv::Vec3f a; |
| |
| //these compile |
| cv::Vec3b b = a; |
| hsvImage_f.at<cv::Vec3f>(i,j) = cv::Vec3f((float)i,0,1); |
| hsvImage_b.at<cv::Vec3b>(i,j) = cv::Vec3b(cv::Vec3f((float)i,0,1)); |
| |
| //these don't |
| b = cv::Vec3f(1,0,0); |
| cv::Vec3b c; |
| c = cv::Vec3f(0,0,1); |
| hsvImage_b.at<cv::Vec3b>(i,j) = cv::Vec3f((float)i,0,1); |
| hsvImage_b.at<cv::Vec3b>(i,j) = a; |
| hsvImage_b.at<cv::Vec3b>(i,j) = cv::Vec3f(1,2,3); |
| } |
| catch(const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT); |
| return false; |
| } |
| return true; |
| } |
| |
| bool CV_OperationsTest::operations1() |
| { |
| try |
| { |
| Point3d p1(1, 1, 1), p2(2, 2, 2), p4(4, 4, 4); |
| p1*=2; |
| if (!(p1 == p2)) throw test_excep(); |
| if (!(p2 * 2 == p4)) throw test_excep(); |
| if (!(p2 * 2.f == p4)) throw test_excep(); |
| if (!(p2 * 2.f == p4)) throw test_excep(); |
| |
| Point2d pi1(1, 1), pi2(2, 2), pi4(4, 4); |
| pi1*=2; |
| if (!(pi1 == pi2)) throw test_excep(); |
| if (!(pi2 * 2 == pi4)) throw test_excep(); |
| if (!(pi2 * 2.f == pi4)) throw test_excep(); |
| if (!(pi2 * 2.f == pi4)) throw test_excep(); |
| |
| Vec2d v12(1, 1), v22(2, 2); |
| v12*=2.0; |
| if (!(v12 == v22)) throw test_excep(); |
| |
| Vec3d v13(1, 1, 1), v23(2, 2, 2); |
| v13*=2.0; |
| if (!(v13 == v23)) throw test_excep(); |
| |
| Vec4d v14(1, 1, 1, 1), v24(2, 2, 2, 2); |
| v14*=2.0; |
| if (!(v14 == v24)) throw test_excep(); |
| |
| Size sz(10, 20); |
| if (sz.area() != 200) throw test_excep(); |
| if (sz.width != 10 || sz.height != 20) throw test_excep(); |
| if (((CvSize)sz).width != 10 || ((CvSize)sz).height != 20) throw test_excep(); |
| |
| Vec<double, 5> v5d(1, 1, 1, 1, 1); |
| Vec<double, 6> v6d(1, 1, 1, 1, 1, 1); |
| Vec<double, 7> v7d(1, 1, 1, 1, 1, 1, 1); |
| Vec<double, 8> v8d(1, 1, 1, 1, 1, 1, 1, 1); |
| Vec<double, 9> v9d(1, 1, 1, 1, 1, 1, 1, 1, 1); |
| Vec<double,10> v10d(1, 1, 1, 1, 1, 1, 1, 1, 1, 1); |
| |
| Vec<double,10> v10dzero; |
| for (int ii = 0; ii < 10; ++ii) { |
| if (v10dzero[ii] != 0.0) |
| throw test_excep(); |
| } |
| |
| Mat A(1, 32, CV_32F), B; |
| for( int i = 0; i < A.cols; i++ ) |
| A.at<float>(i) = (float)(i <= 12 ? i : 24 - i); |
| transpose(A, B); |
| |
| int minidx[2] = {0, 0}, maxidx[2] = {0, 0}; |
| double minval = 0, maxval = 0; |
| minMaxIdx(A, &minval, &maxval, minidx, maxidx); |
| |
| if( !(minidx[0] == 0 && minidx[1] == 31 && maxidx[0] == 0 && maxidx[1] == 12 && |
| minval == -7 && maxval == 12)) |
| throw test_excep(); |
| |
| minMaxIdx(B, &minval, &maxval, minidx, maxidx); |
| |
| if( !(minidx[0] == 31 && minidx[1] == 0 && maxidx[0] == 12 && maxidx[1] == 0 && |
| minval == -7 && maxval == 12)) |
| throw test_excep(); |
| |
| Matx33f b(1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f); |
| Mat c; |
| add(Mat::zeros(3, 3, CV_32F), b, c); |
| CV_Assert( cvtest::norm(b, c, CV_C) == 0 ); |
| |
| add(Mat::zeros(3, 3, CV_64F), b, c, noArray(), c.type()); |
| CV_Assert( cvtest::norm(b, c, CV_C) == 0 ); |
| |
| add(Mat::zeros(6, 1, CV_64F), 1, c, noArray(), c.type()); |
| CV_Assert( cvtest::norm(Matx61f(1.f, 1.f, 1.f, 1.f, 1.f, 1.f), c, CV_C) == 0 ); |
| |
| vector<Point2f> pt2d(3); |
| vector<Point3d> pt3d(2); |
| |
| CV_Assert( Mat(pt2d).checkVector(2) == 3 && Mat(pt2d).checkVector(3) < 0 && |
| Mat(pt3d).checkVector(2) < 0 && Mat(pt3d).checkVector(3) == 2 ); |
| |
| Matx44f m44(0.8147f, 0.6324f, 0.9575f, 0.9572f, |
| 0.9058f, 0.0975f, 0.9649f, 0.4854f, |
| 0.1270f, 0.2785f, 0.1576f, 0.8003f, |
| 0.9134f, 0.5469f, 0.9706f, 0.1419f); |
| double d = determinant(m44); |
| CV_Assert( fabs(d - (-0.0262)) <= 0.001 ); |
| |
| Cv32suf z; |
| z.i = 0x80000000; |
| CV_Assert( cvFloor(z.f) == 0 && cvCeil(z.f) == 0 && cvRound(z.f) == 0 ); |
| } |
| catch(const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| |
| bool CV_OperationsTest::TestExp() |
| { |
| Mat1f tt = Mat1f::ones(4,2); |
| Mat1f outs; |
| exp(-tt, outs); |
| Mat1f tt2 = Mat1f::ones(4,1), outs2; |
| exp(-tt2, outs2); |
| return true; |
| } |
| |
| |
| bool CV_OperationsTest::TestSVD() |
| { |
| try |
| { |
| Mat A = (Mat_<double>(3,4) << 1, 2, -1, 4, 2, 4, 3, 5, -1, -2, 6, 7); |
| Mat x; |
| SVD::solveZ(A,x); |
| if( cvtest::norm(A*x, CV_C) > FLT_EPSILON ) |
| throw test_excep(); |
| |
| SVD svd(A, SVD::FULL_UV); |
| if( cvtest::norm(A*svd.vt.row(3).t(), CV_C) > FLT_EPSILON ) |
| throw test_excep(); |
| |
| Mat Dp(3,3,CV_32FC1); |
| Mat Dc(3,3,CV_32FC1); |
| Mat Q(3,3,CV_32FC1); |
| Mat U,Vt,R,T,W; |
| |
| Dp.at<float>(0,0)=0.86483884f; Dp.at<float>(0,1)= -0.3077251f; Dp.at<float>(0,2)=-0.55711365f; |
| Dp.at<float>(1,0)=0.49294353f; Dp.at<float>(1,1)=-0.24209651f; Dp.at<float>(1,2)=-0.25084701f; |
| Dp.at<float>(2,0)=0; Dp.at<float>(2,1)=0; Dp.at<float>(2,2)=0; |
| |
| Dc.at<float>(0,0)=0.75632739f; Dc.at<float>(0,1)= -0.38859656f; Dc.at<float>(0,2)=-0.36773083f; |
| Dc.at<float>(1,0)=0.9699229f; Dc.at<float>(1,1)=-0.49858192f; Dc.at<float>(1,2)=-0.47134098f; |
| Dc.at<float>(2,0)=0.10566688f; Dc.at<float>(2,1)=-0.060333252f; Dc.at<float>(2,2)=-0.045333147f; |
| |
| Q=Dp*Dc.t(); |
| SVD decomp; |
| decomp=SVD(Q); |
| U=decomp.u; |
| Vt=decomp.vt; |
| W=decomp.w; |
| Mat I = Mat::eye(3, 3, CV_32F); |
| |
| if( cvtest::norm(U*U.t(), I, CV_C) > FLT_EPSILON || |
| cvtest::norm(Vt*Vt.t(), I, CV_C) > FLT_EPSILON || |
| W.at<float>(2) < 0 || W.at<float>(1) < W.at<float>(2) || |
| W.at<float>(0) < W.at<float>(1) || |
| cvtest::norm(U*Mat::diag(W)*Vt, Q, CV_C) > FLT_EPSILON ) |
| throw test_excep(); |
| } |
| catch(const test_excep&) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| return false; |
| } |
| return true; |
| } |
| |
| void CV_OperationsTest::run( int /* start_from */) |
| { |
| if (!TestMat()) |
| return; |
| |
| if (!SomeMatFunctions()) |
| return; |
| |
| if (!TestTemplateMat()) |
| return; |
| |
| /* if (!TestMatND()) |
| return;*/ |
| |
| if (!TestSparseMat()) |
| return; |
| |
| if (!TestVec()) |
| return; |
| |
| if (!TestMatxMultiplication()) |
| return; |
| |
| if (!TestMatxElementwiseDivison()) |
| return; |
| |
| if (!TestSubMatAccess()) |
| return; |
| |
| if (!TestExp()) |
| return; |
| |
| if (!TestSVD()) |
| return; |
| |
| if (!operations1()) |
| return; |
| |
| ts->set_failed_test_info(cvtest::TS::OK); |
| } |
| |
| TEST(Core_Array, expressions) { CV_OperationsTest test; test.safe_run(); } |
| |
| class CV_SparseMatTest : public cvtest::BaseTest |
| { |
| public: |
| CV_SparseMatTest() {} |
| ~CV_SparseMatTest() {} |
| protected: |
| void run(int) |
| { |
| try |
| { |
| RNG& rng = theRNG(); |
| const int MAX_DIM=3; |
| int sizes[MAX_DIM], idx[MAX_DIM]; |
| for( int iter = 0; iter < 100; iter++ ) |
| { |
| ts->printf(cvtest::TS::LOG, "."); |
| ts->update_context(this, iter, true); |
| int k, dims = rng.uniform(1, MAX_DIM+1), p = 1; |
| for( k = 0; k < dims; k++ ) |
| { |
| sizes[k] = rng.uniform(1, 30); |
| p *= sizes[k]; |
| } |
| int j, nz = rng.uniform(0, (p+2)/2), nz0 = 0; |
| SparseMat_<int> v(dims,sizes); |
| |
| CV_Assert( (int)v.nzcount() == 0 ); |
| |
| SparseMatIterator_<int> it = v.begin(); |
| SparseMatIterator_<int> it_end = v.end(); |
| |
| for( k = 0; it != it_end; ++it, ++k ) |
| ; |
| CV_Assert( k == 0 ); |
| |
| int sum0 = 0, sum = 0; |
| for( j = 0; j < nz; j++ ) |
| { |
| int val = rng.uniform(1, 100); |
| for( k = 0; k < dims; k++ ) |
| idx[k] = rng.uniform(0, sizes[k]); |
| if( dims == 1 ) |
| { |
| CV_Assert( v.ref(idx[0]) == v(idx[0]) ); |
| } |
| else if( dims == 2 ) |
| { |
| CV_Assert( v.ref(idx[0], idx[1]) == v(idx[0], idx[1]) ); |
| } |
| else if( dims == 3 ) |
| { |
| CV_Assert( v.ref(idx[0], idx[1], idx[2]) == v(idx[0], idx[1], idx[2]) ); |
| } |
| CV_Assert( v.ref(idx) == v(idx) ); |
| v.ref(idx) += val; |
| if( v(idx) == val ) |
| nz0++; |
| sum0 += val; |
| } |
| |
| CV_Assert( (int)v.nzcount() == nz0 ); |
| |
| it = v.begin(); |
| it_end = v.end(); |
| |
| for( k = 0; it != it_end; ++it, ++k ) |
| sum += *it; |
| CV_Assert( k == nz0 && sum == sum0 ); |
| |
| v.clear(); |
| CV_Assert( (int)v.nzcount() == 0 ); |
| |
| it = v.begin(); |
| it_end = v.end(); |
| |
| for( k = 0; it != it_end; ++it, ++k ) |
| ; |
| CV_Assert( k == 0 ); |
| } |
| } |
| catch(...) |
| { |
| ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
| } |
| } |
| }; |
| |
| TEST(Core_SparseMat, iterations) { CV_SparseMatTest test; test.safe_run(); } |
