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Added a regression test for a circles' grid detection
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@ -74,20 +74,25 @@ void show_points( const Mat& gray, const Mat& u, const vector<Point2f>& v, Size
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}
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enum Pattern { CHESSBOARD, CIRCLES_GRID };
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class CV_ChessboardDetectorTest : public CvTest
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{
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public:
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CV_ChessboardDetectorTest();
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CV_ChessboardDetectorTest( Pattern pattern, const char* testName, const char* funcName );
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protected:
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void run(int);
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void run_batch(const string& filename);
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bool checkByGenerator();
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bool checkByGenerator();
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Pattern pattern;
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};
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CV_ChessboardDetectorTest::CV_ChessboardDetectorTest():
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CvTest( "chessboard-detector", "cvFindChessboardCorners" )
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CV_ChessboardDetectorTest::CV_ChessboardDetectorTest( Pattern _pattern, const char* testName, const char* funcName ):
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CvTest( testName, funcName )
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{
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support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
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support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
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pattern = _pattern;
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}
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double calcError(const vector<Point2f>& v, const Mat& u)
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@ -134,10 +139,17 @@ void CV_ChessboardDetectorTest::run( int /*start_from */)
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{
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/*if (!checkByGenerator())
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return;*/
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checkByGenerator();
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run_batch("chessboard_list.dat");
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run_batch("chessboard_list_subpixel.dat");
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switch( pattern )
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{
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case CHESSBOARD:
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checkByGenerator();
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run_batch("chessboard_list.dat");
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run_batch("chessboard_list_subpixel.dat");
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break;
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case CIRCLES_GRID:
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run_batch("circles_list.dat");
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break;
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}
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}
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void CV_ChessboardDetectorTest::run_batch( const string& filename )
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@ -150,7 +162,16 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
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#ifndef WRITE_POINTS
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double max_rough_error = 0, max_precise_error = 0;
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#endif
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string folder = string(ts.get_data_path()) + "cameracalibration/";
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string folder;
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switch( pattern )
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{
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case CHESSBOARD:
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folder = string(ts.get_data_path()) + "cameracalibration/";
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break;
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case CIRCLES_GRID:
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folder = string(ts.get_data_path()) + "cameracalibration/circles/";
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break;
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}
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FileStorage fs( folder + filename, FileStorage::READ );
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FileNode board_list = fs["boards"];
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@ -200,8 +221,17 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
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size_t count_exp = static_cast<size_t>(expected.cols * expected.rows);
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Size pattern_size = expected.size();
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vector<Point2f> v;
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bool result = findChessboardCorners(gray, pattern_size, v, CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE);
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vector<Point2f> v;
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bool result;
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switch( pattern )
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{
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case CHESSBOARD:
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result = findChessboardCorners(gray, pattern_size, v, CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE);
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break;
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case CIRCLES_GRID:
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result = findCirclesGrid(gray, pattern_size, v);
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break;
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}
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show_points( gray, Mat(), v, pattern_size, result );
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if( !result || v.size() != count_exp )
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{
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@ -222,7 +252,8 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
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#endif
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max_rough_error = MAX( max_rough_error, err );
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#endif
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cornerSubPix( gray, v, Size(5, 5), Size(-1,-1), TermCriteria(TermCriteria::EPS|TermCriteria::MAX_ITER, 30, 0.1));
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if( pattern == CHESSBOARD )
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cornerSubPix( gray, v, Size(5, 5), Size(-1,-1), TermCriteria(TermCriteria::EPS|TermCriteria::MAX_ITER, 30, 0.1));
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//find4QuadCornerSubpix(gray, v, Size(5, 5));
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show_points( gray, expected, v, pattern_size, result );
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@ -408,6 +439,7 @@ bool CV_ChessboardDetectorTest::checkByGenerator()
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return res;
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}
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CV_ChessboardDetectorTest chessboard_detector_test;
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CV_ChessboardDetectorTest chessboard_detector_test ( CHESSBOARD, "chessboard-detector", "cvFindChessboardCorners" );
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CV_ChessboardDetectorTest circlesgrid_detector_test ( CIRCLES_GRID, "circlesgrid-detector", "findCirclesGrid" );
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/* End of file. */
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