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@ -340,7 +340,7 @@ protected: |
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Mat Qv = Q * v; |
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Mat lv = eval.at<float>(i,0) * v; |
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err = norm( Qv, lv ); |
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err = cvtest::norm( Qv, lv, NORM_L2 ); |
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if( err > eigenEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of eigen(); err = %f\n", err ); |
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@ -350,7 +350,7 @@ protected: |
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} |
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// check pca eigenvalues
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evalEps = 1e-6, evecEps = 1e-3; |
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err = norm( rPCA.eigenvalues, subEval ); |
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err = cvtest::norm( rPCA.eigenvalues, subEval, NORM_L2 ); |
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if( err > evalEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "pca.eigenvalues is incorrect (CV_PCA_DATA_AS_ROW); err = %f\n", err ); |
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@ -362,11 +362,11 @@ protected: |
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{ |
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Mat r0 = rPCA.eigenvectors.row(i); |
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Mat r1 = subEvec.row(i); |
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err = norm( r0, r1, CV_L2 ); |
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err = cvtest::norm( r0, r1, CV_L2 ); |
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if( err > evecEps ) |
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{ |
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r1 *= -1; |
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double err2 = norm(r0, r1, CV_L2); |
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double err2 = cvtest::norm(r0, r1, CV_L2); |
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if( err2 > evecEps ) |
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{ |
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Mat tmp; |
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@ -390,7 +390,7 @@ protected: |
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// check pca project
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Mat subEvec_t = subEvec.t(); |
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Mat prj = rTestPoints.row(i) - avg; prj *= subEvec_t; |
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err = norm(rPrjTestPoints.row(i), prj, CV_RELATIVE_L2); |
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err = cvtest::norm(rPrjTestPoints.row(i), prj, CV_RELATIVE_L2); |
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if( err > prjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of project() (CV_PCA_DATA_AS_ROW); err = %f\n", err ); |
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@ -399,7 +399,7 @@ protected: |
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} |
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// check pca backProject
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Mat backPrj = rPrjTestPoints.row(i) * subEvec + avg; |
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err = norm( rBackPrjTestPoints.row(i), backPrj, CV_RELATIVE_L2 ); |
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err = cvtest::norm( rBackPrjTestPoints.row(i), backPrj, CV_RELATIVE_L2 ); |
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if( err > backPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of backProject() (CV_PCA_DATA_AS_ROW); err = %f\n", err ); |
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@ -412,14 +412,14 @@ protected: |
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cPCA( rPoints.t(), Mat(), CV_PCA_DATA_AS_COL, maxComponents ); |
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diffPrjEps = 1, diffBackPrjEps = 1; |
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Mat ocvPrjTestPoints = cPCA.project(rTestPoints.t()); |
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err = norm(cv::abs(ocvPrjTestPoints), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cv::abs(ocvPrjTestPoints), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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if( err > diffPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of project() (CV_PCA_DATA_AS_COL); err = %f\n", err ); |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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return; |
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} |
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err = norm(cPCA.backProject(ocvPrjTestPoints), rBackPrjTestPoints.t(), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cPCA.backProject(ocvPrjTestPoints), rBackPrjTestPoints.t(), CV_RELATIVE_L2 ); |
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if( err > diffBackPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of backProject() (CV_PCA_DATA_AS_COL); err = %f\n", err ); |
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@ -433,9 +433,9 @@ protected: |
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Mat rvPrjTestPoints = cPCA.project(rTestPoints.t()); |
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if( cPCA.eigenvectors.rows > maxComponents) |
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err = norm(cv::abs(rvPrjTestPoints.rowRange(0,maxComponents)), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cv::abs(rvPrjTestPoints.rowRange(0,maxComponents)), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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else |
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err = norm(cv::abs(rvPrjTestPoints), cv::abs(rPrjTestPoints.colRange(0,cPCA.eigenvectors.rows).t()), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cv::abs(rvPrjTestPoints), cv::abs(rPrjTestPoints.colRange(0,cPCA.eigenvectors.rows).t()), CV_RELATIVE_L2 ); |
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if( err > diffPrjEps ) |
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{ |
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@ -443,7 +443,7 @@ protected: |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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return; |
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} |
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err = norm(cPCA.backProject(rvPrjTestPoints), rBackPrjTestPoints.t(), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cPCA.backProject(rvPrjTestPoints), rBackPrjTestPoints.t(), CV_RELATIVE_L2 ); |
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if( err > diffBackPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of backProject() (CV_PCA_DATA_AS_COL); retainedVariance=0.95; err = %f\n", err ); |
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@ -467,14 +467,14 @@ protected: |
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cvProjectPCA( &_testPoints, &_avg, &_evec, &_prjTestPoints ); |
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cvBackProjectPCA( &_prjTestPoints, &_avg, &_evec, &_backPrjTestPoints ); |
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err = norm(prjTestPoints, rPrjTestPoints, CV_RELATIVE_L2); |
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err = cvtest::norm(prjTestPoints, rPrjTestPoints, CV_RELATIVE_L2); |
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if( err > diffPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of cvProjectPCA() (CV_PCA_DATA_AS_ROW); err = %f\n", err ); |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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return; |
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} |
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err = norm(backPrjTestPoints, rBackPrjTestPoints, CV_RELATIVE_L2); |
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err = cvtest::norm(backPrjTestPoints, rBackPrjTestPoints, CV_RELATIVE_L2); |
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if( err > diffBackPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of cvBackProjectPCA() (CV_PCA_DATA_AS_ROW); err = %f\n", err ); |
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@ -495,14 +495,14 @@ protected: |
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cvProjectPCA( &_testPoints, &_avg, &_evec, &_prjTestPoints ); |
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cvBackProjectPCA( &_prjTestPoints, &_avg, &_evec, &_backPrjTestPoints ); |
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err = norm(cv::abs(prjTestPoints), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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err = cvtest::norm(cv::abs(prjTestPoints), cv::abs(rPrjTestPoints.t()), CV_RELATIVE_L2 ); |
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if( err > diffPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of cvProjectPCA() (CV_PCA_DATA_AS_COL); err = %f\n", err ); |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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return; |
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} |
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err = norm(backPrjTestPoints, rBackPrjTestPoints.t(), CV_RELATIVE_L2); |
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err = cvtest::norm(backPrjTestPoints, rBackPrjTestPoints.t(), CV_RELATIVE_L2); |
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if( err > diffBackPrjEps ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of cvBackProjectPCA() (CV_PCA_DATA_AS_COL); err = %f\n", err ); |
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@ -518,19 +518,19 @@ protected: |
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PCA lPCA; |
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fs.open( "PCA_store.yml", FileStorage::READ ); |
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lPCA.read( fs.root() ); |
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err = norm( rPCA.eigenvectors, lPCA.eigenvectors, CV_RELATIVE_L2 ); |
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err = cvtest::norm( rPCA.eigenvectors, lPCA.eigenvectors, CV_RELATIVE_L2 ); |
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if( err > 0 ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of write/load functions (YML); err = %f\n", err ); |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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} |
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err = norm( rPCA.eigenvalues, lPCA.eigenvalues, CV_RELATIVE_L2 ); |
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err = cvtest::norm( rPCA.eigenvalues, lPCA.eigenvalues, CV_RELATIVE_L2 ); |
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if( err > 0 ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of write/load functions (YML); err = %f\n", err ); |
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ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY ); |
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} |
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err = norm( rPCA.mean, lPCA.mean, CV_RELATIVE_L2 ); |
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err = cvtest::norm( rPCA.mean, lPCA.mean, CV_RELATIVE_L2 ); |
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if( err > 0 ) |
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{ |
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ts->printf( cvtest::TS::LOG, "bad accuracy of write/load functions (YML); err = %f\n", err ); |
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@ -731,9 +731,9 @@ void Core_ArrayOpTest::run( int /* start_from */) |
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} |
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minMaxLoc(_all_vals, &min_val, &max_val); |
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double _norm0 = norm(_all_vals, CV_C); |
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double _norm1 = norm(_all_vals, CV_L1); |
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double _norm2 = norm(_all_vals, CV_L2); |
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double _norm0 = cvtest::norm(_all_vals, CV_C); |
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double _norm1 = cvtest::norm(_all_vals, CV_L1); |
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double _norm2 = cvtest::norm(_all_vals, CV_L2); |
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for( i = 0; i < nz0; i++ ) |
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{ |
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Andrey Pavlenko
11 years ago
committed by
OpenCV Buildbot