Fixed doc/opencv.bib
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@ -415,6 +415,16 @@
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pages = {2548--2555},
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pages = {2548--2555},
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organization = {IEEE}
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organization = {IEEE}
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}
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}
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@ARTICLE{Louhichi07,
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author = {Louhichi, H. and Fournel, T. and Lavest, J. M. and Ben Aissia, H.},
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title = {Self-calibration of Scheimpflug cameras: an easy protocol},
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year = {2007},
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pages = {2616–2622},
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journal = {Meas. Sci. Technol.},
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volume = {18},
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number = {8},
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publisher = {IOP Publishing Ltd}
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}
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@ARTICLE{LibSVM,
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@ARTICLE{LibSVM,
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author = {Chang, Chih-Chung and Lin, Chih-Jen},
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author = {Chang, Chih-Chung and Lin, Chih-Jen},
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title = {LIBSVM: a library for support vector machines},
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title = {LIBSVM: a library for support vector machines},
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@ -871,4 +881,4 @@
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pages={177--186},
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pages={177--186},
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year={2010},
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year={2010},
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publisher={Springer}
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publisher={Springer}
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}
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}
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@ -1697,7 +1697,6 @@ CV_EXPORTS void randMVNormal( InputArray mean, InputArray cov, int nsamples, Out
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CV_EXPORTS void createConcentricSpheresTestSet( int nsamples, int nfeatures, int nclasses,
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CV_EXPORTS void createConcentricSpheresTestSet( int nsamples, int nfeatures, int nclasses,
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OutputArray samples, OutputArray responses);
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OutputArray samples, OutputArray responses);
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//! @} ml
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//! @} ml
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}
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}
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@ -45,6 +45,7 @@
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#include "opencv2/ml.hpp"
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#include "opencv2/ml.hpp"
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#include "opencv2/core/core_c.h"
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#include "opencv2/core/core_c.h"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/core/private.hpp"
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#include "opencv2/core/private.hpp"
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#include <assert.h>
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#include <assert.h>
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@ -267,9 +267,7 @@ void CV_MLBaseTest::run( int )
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{
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{
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string filename = ts->get_data_path();
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string filename = ts->get_data_path();
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filename += get_validation_filename();
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filename += get_validation_filename();
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validationFS.open( filename, FileStorage::READ );
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validationFS.open( filename, FileStorage::READ );
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read_params( *validationFS );
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read_params( *validationFS );
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int code = cvtest::TS::OK;
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int code = cvtest::TS::OK;
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@ -150,11 +150,7 @@ int CV_SLMLTest::validate_test_results( int testCaseIdx )
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TEST(ML_NaiveBayes, save_load) { CV_SLMLTest test( CV_NBAYES ); test.safe_run(); }
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TEST(ML_NaiveBayes, save_load) { CV_SLMLTest test( CV_NBAYES ); test.safe_run(); }
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TEST(ML_KNearest, save_load) { CV_SLMLTest test( CV_KNEAREST ); test.safe_run(); }
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TEST(ML_KNearest, save_load) { CV_SLMLTest test( CV_KNEAREST ); test.safe_run(); }
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TEST(ML_SVM, save_load)
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TEST(ML_SVM, save_load) { CV_SLMLTest test( CV_SVM ); test.safe_run(); }
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{
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CV_SLMLTest test( CV_SVM );
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test.safe_run();
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}
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TEST(ML_ANN, save_load) { CV_SLMLTest test( CV_ANN ); test.safe_run(); }
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TEST(ML_ANN, save_load) { CV_SLMLTest test( CV_ANN ); test.safe_run(); }
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TEST(ML_DTree, save_load) { CV_SLMLTest test( CV_DTREE ); test.safe_run(); }
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TEST(ML_DTree, save_load) { CV_SLMLTest test( CV_DTREE ); test.safe_run(); }
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TEST(ML_Boost, save_load) { CV_SLMLTest test( CV_BOOST ); test.safe_run(); }
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TEST(ML_Boost, save_load) { CV_SLMLTest test( CV_BOOST ); test.safe_run(); }
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@ -5659,7 +5659,7 @@ class TestCaseNameIs {
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// Returns true iff the name of test_case matches name_.
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// Returns true iff the name of test_case matches name_.
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bool operator()(const TestCase* test_case) const {
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bool operator()(const TestCase* test_case) const {
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return test_case != NULL && strcmp(test_case->name(), name_.c_str()) == 0;
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return test_case != NULL && strcmp(test_case->name(), name_.c_str()) == 0;
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}
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}
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private:
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private:
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