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Added a regression test for a circles' grid detection

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This commit is contained in:
Ilya Lysenkov 2010-12-21 09:27:31 +00:00
parent 964df356bf
commit 84dc12d387
1 changed files with 46 additions and 14 deletions
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54
tests/cv/src/achesscorners.cpp
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@ -74,20 +74,25 @@ void show_points( const Mat& gray, const Mat& u, const vector<Point2f>& v, Size
}
enum Pattern { CHESSBOARD, CIRCLES_GRID };
class CV_ChessboardDetectorTest : public CvTest
{
public:
CV_ChessboardDetectorTest();
CV_ChessboardDetectorTest( Pattern pattern, const char* testName, const char* funcName );
protected:
void run(int);
void run_batch(const string& filename);
bool checkByGenerator();
Pattern pattern;
};
CV_ChessboardDetectorTest::CV_ChessboardDetectorTest():
CvTest( "chessboard-detector", "cvFindChessboardCorners" )
CV_ChessboardDetectorTest::CV_ChessboardDetectorTest( Pattern _pattern, const char* testName, const char* funcName ):
CvTest( testName, funcName )
{
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
pattern = _pattern;
}
double calcError(const vector<Point2f>& v, const Mat& u)
@ -134,10 +139,17 @@ void CV_ChessboardDetectorTest::run( int /*start_from */)
{
/*if (!checkByGenerator())
return;*/
checkByGenerator();
run_batch("chessboard_list.dat");
run_batch("chessboard_list_subpixel.dat");
switch( pattern )
{
case CHESSBOARD:
checkByGenerator();
run_batch("chessboard_list.dat");
run_batch("chessboard_list_subpixel.dat");
break;
case CIRCLES_GRID:
run_batch("circles_list.dat");
break;
}
}
void CV_ChessboardDetectorTest::run_batch( const string& filename )
@ -150,7 +162,16 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
#ifndef WRITE_POINTS
double max_rough_error = 0, max_precise_error = 0;
#endif
string folder = string(ts.get_data_path()) + "cameracalibration/";
string folder;
switch( pattern )
{
case CHESSBOARD:
folder = string(ts.get_data_path()) + "cameracalibration/";
break;
case CIRCLES_GRID:
folder = string(ts.get_data_path()) + "cameracalibration/circles/";
break;
}
FileStorage fs( folder + filename, FileStorage::READ );
FileNode board_list = fs["boards"];
@ -201,7 +222,16 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
Size pattern_size = expected.size();
vector<Point2f> v;
bool result = findChessboardCorners(gray, pattern_size, v, CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE);
bool result;
switch( pattern )
{
case CHESSBOARD:
result = findChessboardCorners(gray, pattern_size, v, CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE);
break;
case CIRCLES_GRID:
result = findCirclesGrid(gray, pattern_size, v);
break;
}
show_points( gray, Mat(), v, pattern_size, result );
if( !result || v.size() != count_exp )
{
@ -222,7 +252,8 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
#endif
max_rough_error = MAX( max_rough_error, err );
#endif
cornerSubPix( gray, v, Size(5, 5), Size(-1,-1), TermCriteria(TermCriteria::EPS|TermCriteria::MAX_ITER, 30, 0.1));
if( pattern == CHESSBOARD )
cornerSubPix( gray, v, Size(5, 5), Size(-1,-1), TermCriteria(TermCriteria::EPS|TermCriteria::MAX_ITER, 30, 0.1));
//find4QuadCornerSubpix(gray, v, Size(5, 5));
show_points( gray, expected, v, pattern_size, result );
@ -408,6 +439,7 @@ bool CV_ChessboardDetectorTest::checkByGenerator()
return res;
}
CV_ChessboardDetectorTest chessboard_detector_test;
CV_ChessboardDetectorTest chessboard_detector_test ( CHESSBOARD, "chessboard-detector", "cvFindChessboardCorners" );
CV_ChessboardDetectorTest circlesgrid_detector_test ( CIRCLES_GRID, "circlesgrid-detector", "findCirclesGrid" );
/* End of file. */