/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #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. */