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minor changes of f2d tests log

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This commit is contained in:
Maria Dimashova 2010-11-26 08:43:27 +00:00
parent bdaad9e1fe
commit 337f1dd2fa
1 changed files with 34 additions and 34 deletions
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68
tests/cv/src/afeatures2d.cpp
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@ -82,14 +82,14 @@ void CV_FeatureDetectorTest::emptyDataTest()
}
catch(...)
{
ts->printf( CvTS::LOG, "detect() on empty image must not generate exception (1)\n" );
ts->printf( CvTS::LOG, "detect() on empty image must not generate exception (1).\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
return;
}
if( !keypoints.empty() )
{
ts->printf( CvTS::LOG, "detect() on empty image must return empty keypoints vector (1)\n" );
ts->printf( CvTS::LOG, "detect() on empty image must return empty keypoints vector (1).\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
return;
}
@ -103,7 +103,7 @@ void CV_FeatureDetectorTest::emptyDataTest()
}
catch(...)
{
ts->printf( CvTS::LOG, "detect() on empty image vector must not generate exception (2)\n" );
ts->printf( CvTS::LOG, "detect() on empty image vector must not generate exception (2).\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
return;
}
@ -182,7 +182,7 @@ void CV_FeatureDetectorTest::regressionTest()
Mat image = imread( imgFilename );
if( image.empty() )
{
ts->printf( CvTS::LOG, "image %s can not be read \n", imgFilename.c_str() );
ts->printf( CvTS::LOG, "Image %s can not be read.\n", imgFilename.c_str() );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -202,7 +202,7 @@ void CV_FeatureDetectorTest::regressionTest()
read( fs["keypoints"], validKeypoints );
if( validKeypoints.empty() )
{
ts->printf( CvTS::LOG, "Keypoints can nod be read\n" );
ts->printf( CvTS::LOG, "Keypoints can not be read.\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -214,7 +214,7 @@ void CV_FeatureDetectorTest::regressionTest()
fs.open( resFilename, FileStorage::WRITE );
if( !fs.isOpened() )
{
ts->printf( CvTS::LOG, "file %s can not be opened to write\n", resFilename.c_str() );
ts->printf( CvTS::LOG, "File %s can not be opened to write.\n", resFilename.c_str() );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -233,7 +233,7 @@ void CV_FeatureDetectorTest::run( int /*start_from*/ )
{
if( fdetector.empty() )
{
ts->printf( CvTS::LOG, "Feature detector is empty" );
ts->printf( CvTS::LOG, "Feature detector is empty.\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -301,7 +301,7 @@ protected:
{
if( validDescriptors.size != calcDescriptors.size || validDescriptors.type() != calcDescriptors.type() )
{
ts->printf(CvTS::LOG, "Valid and computed descriptors matrices must have the same size and type\n");
ts->printf(CvTS::LOG, "Valid and computed descriptors matrices must have the same size and type.\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -316,7 +316,7 @@ protected:
if( dist > maxDistDif)
{
stringstream ss;
ss << "Discance between valid and computed " << y << "-descriptors " << dist << ">" << maxDistDif << endl;
ss << "Distance between valid and computed " << y << "-descriptors " << dist << ">" << maxDistDif << "."<< endl;
ts->printf(CvTS::LOG, ss.str().c_str() );
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
return;
@ -325,7 +325,7 @@ protected:
maxDist = dist;
}
stringstream ss;
ss << "Max distance between valid and computed descriptors " << maxDist << endl;
ss << "Max distance between valid and computed descriptors " << maxDist << "." << endl;
ts->printf(CvTS::LOG, ss.str().c_str() );
}
@ -344,7 +344,7 @@ protected:
}
catch(...)
{
ts->printf( CvTS::LOG, "compute() on empty image and empty keypoints must not generate exception (1)\n");
ts->printf( CvTS::LOG, "compute() on empty image and empty keypoints must not generate exception (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
}
@ -355,7 +355,7 @@ protected:
}
catch(...)
{
ts->printf( CvTS::LOG, "compute() on nonempty image and empty keypoints must not generate exception (1)\n");
ts->printf( CvTS::LOG, "compute() on nonempty image and empty keypoints must not generate exception (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
}
@ -369,7 +369,7 @@ protected:
}
catch(...)
{
ts->printf( CvTS::LOG, "compute() on empty images and empty keypoints collection must not generate exception (2)\n");
ts->printf( CvTS::LOG, "compute() on empty images and empty keypoints collection must not generate exception (2).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
}
}
@ -384,7 +384,7 @@ protected:
Mat img = imread( imgFilename );
if( img.empty() )
{
ts->printf( CvTS::LOG, "image %s can not be read\n", imgFilename.c_str() );
ts->printf( CvTS::LOG, "Image %s can not be read.\n", imgFilename.c_str() );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -399,18 +399,18 @@ protected:
double t = (double)getTickCount();
dextractor->compute( img, keypoints, calcDescriptors );
t = getTickCount() - t;
ts->printf(CvTS::LOG, "\nAverage time of computiting one descriptor = %g ms (previous time = %g ms)\n", t/((double)cvGetTickFrequency()*1000.)/calcDescriptors.rows, prevTime );
ts->printf(CvTS::LOG, "\nAverage time of computiting one descriptor = %g ms (previous time = %g ms).\n", t/((double)cvGetTickFrequency()*1000.)/calcDescriptors.rows, prevTime );
if( calcDescriptors.rows != (int)keypoints.size() )
{
ts->printf( CvTS::LOG, "Count of computed descriptors and keypoints count must be equal\n" );
ts->printf( CvTS::LOG, "Count of computed descriptors and keypoints count must be equal.\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
return;
}
if( calcDescriptors.cols != dextractor->descriptorSize() || calcDescriptors.type() != dextractor->descriptorType() )
{
ts->printf( CvTS::LOG, "Incorrect descriptor size or descriptor type\n" );
ts->printf( CvTS::LOG, "Incorrect descriptor size or descriptor type.\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
return;
}
@ -423,7 +423,7 @@ protected:
{
if( !writeDescriptors( calcDescriptors ) )
{
ts->printf( CvTS::LOG, "Descriptors can not be written\n" );
ts->printf( CvTS::LOG, "Descriptors can not be written.\n" );
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -431,7 +431,7 @@ protected:
}
else
{
ts->printf( CvTS::LOG, "Compute and write keypoints\n" );
ts->printf( CvTS::LOG, "Compute and write keypoints.\n" );
fs.open( string(ts->get_data_path()) + FEATURES2D_DIR + "/keypoints.xml.gz", FileStorage::WRITE );
if( fs.isOpened() )
{
@ -441,7 +441,7 @@ protected:
}
else
{
ts->printf(CvTS::LOG, "File for writting keypoints can not be opened\n");
ts->printf(CvTS::LOG, "File for writting keypoints can not be opened.\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -453,7 +453,7 @@ protected:
createDescriptorExtractor();
if( dextractor.empty() )
{
ts->printf(CvTS::LOG, "Descriptor extractor is empty\n");
ts->printf(CvTS::LOG, "Descriptor extractor is empty.\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_TEST_DATA );
return;
}
@ -576,7 +576,7 @@ void CV_DescriptorMatcherTest::matchTest( const Mat& query, const Mat& train )
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test match() function (1)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test match() function (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
else
@ -590,7 +590,7 @@ void CV_DescriptorMatcherTest::matchTest( const Mat& query, const Mat& train )
}
if( (float)badCount > (float)queryDescCount*badPart )
{
ts->printf( CvTS::LOG, "%f - too large bad matches part while test match() function (1)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test match() function (1).\n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
@ -616,7 +616,7 @@ void CV_DescriptorMatcherTest::matchTest( const Mat& query, const Mat& train )
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test match() function (2)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test match() function (2).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
else
@ -641,7 +641,7 @@ void CV_DescriptorMatcherTest::matchTest( const Mat& query, const Mat& train )
}
if( (float)badCount > (float)queryDescCount*badPart )
{
ts->printf( CvTS::LOG, "%f - too large bad matches part while test match() function (2)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test match() function (2).\n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
}
@ -662,7 +662,7 @@ void CV_DescriptorMatcherTest::knnMatchTest( const Mat& query, const Mat& train
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test knnMatch() function (1)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test knnMatch() function (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
else
@ -686,7 +686,7 @@ void CV_DescriptorMatcherTest::knnMatchTest( const Mat& query, const Mat& train
}
if( (float)badCount > (float)queryDescCount*badPart )
{
ts->printf( CvTS::LOG, "%f - too large bad matches part while test knnMatch() function (1)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test knnMatch() function (1).\n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
@ -713,7 +713,7 @@ void CV_DescriptorMatcherTest::knnMatchTest( const Mat& query, const Mat& train
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test knnMatch() function (2)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test knnMatch() function (2).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
else
@ -750,7 +750,7 @@ void CV_DescriptorMatcherTest::knnMatchTest( const Mat& query, const Mat& train
}
if( (float)badCount > (float)queryDescCount*badPart )
{
ts->printf( CvTS::LOG, "%f - too large bad matches part while test knnMatch() function (2)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test knnMatch() function (2).\n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
}
@ -769,7 +769,7 @@ void CV_DescriptorMatcherTest::radiusMatchTest( const Mat& query, const Mat& tra
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test radiusMatch() function (1)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test radiusMatch() function (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
else
@ -788,7 +788,7 @@ void CV_DescriptorMatcherTest::radiusMatchTest( const Mat& query, const Mat& tra
}
if( (float)badCount > (float)queryDescCount*badPart )
{
ts->printf( CvTS::LOG, "%f - too large bad matches part while test radiusMatch() function (1)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test radiusMatch() function (1)\.n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
@ -817,7 +817,7 @@ void CV_DescriptorMatcherTest::radiusMatchTest( const Mat& query, const Mat& tra
int curRes = CvTS::OK;
if( (int)matches.size() != queryDescCount )
{
ts->printf(CvTS::LOG, "Incorrect matches count while test radiusMatch() function (1)\n");
ts->printf(CvTS::LOG, "Incorrect matches count while test radiusMatch() function (1).\n");
ts->set_failed_test_info( CvTS::FAIL_INVALID_OUTPUT );
}
@ -855,7 +855,7 @@ void CV_DescriptorMatcherTest::radiusMatchTest( const Mat& query, const Mat& tra
if( (float)badCount > (float)queryDescCount*badPart )
{
curRes = CvTS::FAIL_INVALID_OUTPUT;
ts->printf( CvTS::LOG, "%f - too large bad matches part while test radiusMatch() function (2)\n",
ts->printf( CvTS::LOG, "%f - too large bad matches part while test radiusMatch() function (2).\n",
(float)badCount/(float)queryDescCount );
ts->set_failed_test_info( CvTS::FAIL_BAD_ACCURACY );
}
@ -900,7 +900,7 @@ CV_DescriptorExtractorTest<L2<float> > siftDescriptorTest( "descriptor-sift", 0.
DescriptorExtractor::create("SIFT"), 8.06652f );
CV_DescriptorExtractorTest<L2<float> > surfDescriptorTest( "descriptor-surf", 0.035f,
DescriptorExtractor::create("SURF"), 0.147372f );
CV_DescriptorExtractorTest<Hamming> briefDescriptorTest( "descriptor-brief", 1,
CV_DescriptorExtractorTest<Hamming> briefDescriptorTest( "descriptor-brief", std::numeric_limits<float>::epsilon() + 1,
DescriptorExtractor::create("BRIEF"), 0.00527548 );
CV_DescriptorExtractorTest<L2<float> > oppSiftDescriptorTest( "descriptor-opponent-sift", 0.008f,