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add hack to disable optimization of linear svms; improved precision of optimize_linear_svm; add the relevant test, which however requires some big database (so it's disabled by default)

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Vadim Pisarevsky
2013-03-21 19:17:59 +04:00
parent 63a5587d0d
commit 4331f76d18
2 changed files with 36 additions and 3 deletions
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modules/ml/test/test_save_load.cpp
+28
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@@ -133,4 +133,32 @@ TEST(ML_Boost, save_load) { CV_SLMLTest test( CV_BOOST ); test.safe_run(); }
TEST(ML_RTrees, save_load) { CV_SLMLTest test( CV_RTREES ); test.safe_run(); }
TEST(ML_ERTrees, save_load) { CV_SLMLTest test( CV_ERTREES ); test.safe_run(); }
TEST(DISABLED_ML_SVM, linear_save_load)
{
CvSVM svm1, svm2, svm3;
svm1.load("SVM45_X_38-1.xml");
svm2.load("SVM45_X_38-2.xml");
string tname = tempfile("a.xml");
svm2.save(tname.c_str());
svm3.load(tname.c_str());
ASSERT_EQ(svm1.get_var_count(), svm2.get_var_count());
ASSERT_EQ(svm1.get_var_count(), svm3.get_var_count());
int m = 10000, n = svm1.get_var_count();
Mat samples(m, n, CV_32F), r1, r2, r3;
randu(samples, 0., 1.);
svm1.predict(samples, r1);
svm2.predict(samples, r2);
svm3.predict(samples, r3);
double eps = 1e-4;
EXPECT_LE(norm(r1, r2, NORM_INF), eps);
EXPECT_LE(norm(r1, r3, NORM_INF), eps);
remove(tname.c_str());
}
/* End of file. */