opencv/modules/calib3d/test/test_chesscorners_timing.cpp

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#include "test_precomp.hpp"

class CV_ChessboardDetectorTimingTest : public cvtest::BaseTest
{
public:
    CV_ChessboardDetectorTimingTest();
protected:
    void run(int);
};


CV_ChessboardDetectorTimingTest::CV_ChessboardDetectorTimingTest()
{
}

/* ///////////////////// chess_corner_test ///////////////////////// */
void CV_ChessboardDetectorTimingTest::run( int start_from )
{
    int code = cvtest::TS::OK;

    /* test parameters */
    char   filepath[1000];
    char   filename[1000];

    CvMat*  _v = 0;
    CvPoint2D32f* v;

    IplImage* img = 0;
    IplImage* gray = 0;
    IplImage* thresh = 0;

    int  idx, max_idx;
    int  progress = 0;

    sprintf( filepath, "%scameracalibration/", ts->get_data_path().c_str() );
    sprintf( filename, "%schessboard_timing_list.dat", filepath );
    CvFileStorage* fs = cvOpenFileStorage( filename, 0, CV_STORAGE_READ );
    CvFileNode* board_list = fs ? cvGetFileNodeByName( fs, 0, "boards" ) : 0;

    if( !fs || !board_list || !CV_NODE_IS_SEQ(board_list->tag) ||
        board_list->data.seq->total % 4 != 0 )
    {
        ts->printf( cvtest::TS::LOG, "chessboard_timing_list.dat can not be readed or is not valid" );
        code = cvtest::TS::FAIL_MISSING_TEST_DATA;
        goto _exit_;
    }

    max_idx = board_list->data.seq->total/4;

    for( idx = start_from; idx < max_idx; idx++ )
    {
        int count0 = -1;
        int count = 0;
        CvSize pattern_size;
        int result, result1 = 0;

        const char* imgname = cvReadString((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4), "dummy.txt");
        int is_chessboard = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4+1), 0);
        pattern_size.width = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4 + 2), -1);
        pattern_size.height = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4 + 3), -1);
        
        ts->update_context( this, idx-1, true );

        /* read the image */
        sprintf( filename, "%s%s", filepath, imgname );
    
        img = cvLoadImage( filename );
        
        if( !img )
        {
            ts->printf( cvtest::TS::LOG, "one of chessboard images can't be read: %s\n", filename );
            if( max_idx == 1 )
            {
                code = cvtest::TS::FAIL_MISSING_TEST_DATA;
                goto _exit_;
            }
            continue;
        }

        ts->printf(cvtest::TS::LOG, "%s: chessboard %d:\n", imgname, is_chessboard);

        gray = cvCreateImage( cvSize( img->width, img->height ), IPL_DEPTH_8U, 1 );
        thresh = cvCreateImage( cvSize( img->width, img->height ), IPL_DEPTH_8U, 1 );
        cvCvtColor( img, gray, CV_BGR2GRAY );
 

        count0 = pattern_size.width*pattern_size.height;

        /* allocate additional buffers */
        _v = cvCreateMat(1, count0, CV_32FC2);
        count = count0;

        v = (CvPoint2D32f*)_v->data.fl;

        int64 _time0 = cvGetTickCount();
        result = cvCheckChessboard(gray, pattern_size);
        int64 _time01 = cvGetTickCount();
        
        OPENCV_CALL( result1 = cvFindChessboardCorners(
                 gray, pattern_size, v, &count, 15 ));
        int64 _time1 = cvGetTickCount();

        if( result != is_chessboard )
        {
            ts->printf( cvtest::TS::LOG, "Error: chessboard was %sdetected in the image %s\n", 
                       result ? "" : "not ", imgname );
            code = cvtest::TS::FAIL_INVALID_OUTPUT;
            goto _exit_;
        }
        if(result != result1)
        {
            ts->printf( cvtest::TS::LOG, "Warning: results differ cvCheckChessboard %d, cvFindChessboardCorners %d\n", 
                       result, result1);
        }
                
        int num_pixels = gray->width*gray->height;
        float check_chessboard_time = float(_time01 - _time0)/(float)cvGetTickFrequency(); // in us
        ts->printf(cvtest::TS::LOG, "    cvCheckChessboard time s: %f, us per pixel: %f\n", 
                   check_chessboard_time*1e-6, check_chessboard_time/num_pixels);
        
        float find_chessboard_time = float(_time1 - _time01)/(float)cvGetTickFrequency();
        ts->printf(cvtest::TS::LOG, "    cvFindChessboard time s: %f, us per pixel: %f\n",
                   find_chessboard_time*1e-6, find_chessboard_time/num_pixels);

        cvReleaseMat( &_v );
        cvReleaseImage( &img );
        cvReleaseImage( &gray );
        cvReleaseImage( &thresh );
        progress = update_progress( progress, idx-1, max_idx, 0 );
    }

_exit_:

    /* release occupied memory */
    cvReleaseMat( &_v );
    cvReleaseFileStorage( &fs );
    cvReleaseImage( &img );
    cvReleaseImage( &gray );
    cvReleaseImage( &thresh );

    if( code < 0 )
        ts->set_failed_test_info( code );
}

TEST(Calib3d_ChessboardDetector, timing) { CV_ChessboardDetectorTimingTest test; test.safe_run(); }

/* End of file. */