190 lines
6.9 KiB
C++
190 lines
6.9 KiB
C++
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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class CV_ChessboardDetectorTimingTest : public cvtest::BaseTest
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{
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public:
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CV_ChessboardDetectorTimingTest();
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protected:
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void run(int);
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};
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CV_ChessboardDetectorTimingTest::CV_ChessboardDetectorTimingTest()
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{
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}
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/* ///////////////////// chess_corner_test ///////////////////////// */
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void CV_ChessboardDetectorTimingTest::run( int start_from )
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{
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int code = cvtest::TS::OK;
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/* test parameters */
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char filepath[1000];
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char filename[1000];
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CvMat* _v = 0;
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CvPoint2D32f* v;
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IplImage* img = 0;
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IplImage* gray = 0;
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IplImage* thresh = 0;
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int idx, max_idx;
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int progress = 0;
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sprintf( filepath, "%scameracalibration/", ts->get_data_path().c_str() );
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sprintf( filename, "%schessboard_timing_list.dat", filepath );
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printf("Reading file %s\n", filename);
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CvFileStorage* fs = cvOpenFileStorage( filename, 0, CV_STORAGE_READ );
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CvFileNode* board_list = fs ? cvGetFileNodeByName( fs, 0, "boards" ) : 0;
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if( !fs || !board_list || !CV_NODE_IS_SEQ(board_list->tag) ||
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board_list->data.seq->total % 4 != 0 )
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{
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ts->printf( cvtest::TS::LOG, "chessboard_timing_list.dat can not be readed or is not valid" );
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code = cvtest::TS::FAIL_MISSING_TEST_DATA;
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goto _exit_;
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}
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max_idx = board_list->data.seq->total/4;
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for( idx = start_from; idx < max_idx; idx++ )
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{
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int count0 = -1;
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int count = 0;
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CvSize pattern_size;
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int result, result1 = 0;
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const char* imgname = cvReadString((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4), "dummy.txt");
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int is_chessboard = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4+1), 0);
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pattern_size.width = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4 + 2), -1);
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pattern_size.height = cvReadInt((CvFileNode*)cvGetSeqElem(board_list->data.seq,idx*4 + 3), -1);
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ts->update_context( this, idx-1, true );
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/* read the image */
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sprintf( filename, "%s%s", filepath, imgname );
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img = cvLoadImage( filename );
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if( !img )
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{
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ts->printf( cvtest::TS::LOG, "one of chessboard images can't be read: %s\n", filename );
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if( max_idx == 1 )
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{
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code = cvtest::TS::FAIL_MISSING_TEST_DATA;
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goto _exit_;
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}
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continue;
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}
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ts->printf(cvtest::TS::LOG, "%s: chessboard %d:\n", imgname, is_chessboard);
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gray = cvCreateImage( cvSize( img->width, img->height ), IPL_DEPTH_8U, 1 );
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thresh = cvCreateImage( cvSize( img->width, img->height ), IPL_DEPTH_8U, 1 );
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cvCvtColor( img, gray, CV_BGR2GRAY );
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count0 = pattern_size.width*pattern_size.height;
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/* allocate additional buffers */
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_v = cvCreateMat(1, count0, CV_32FC2);
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count = count0;
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v = (CvPoint2D32f*)_v->data.fl;
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int64 _time0 = cvGetTickCount();
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result = cvCheckChessboard(gray, pattern_size);
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int64 _time01 = cvGetTickCount();
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OPENCV_CALL( result1 = cvFindChessboardCorners(
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gray, pattern_size, v, &count, 15 ));
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int64 _time1 = cvGetTickCount();
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if( result != is_chessboard )
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{
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ts->printf( cvtest::TS::LOG, "Error: chessboard was %sdetected in the image %s\n",
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result ? "" : "not ", imgname );
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code = cvtest::TS::FAIL_INVALID_OUTPUT;
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goto _exit_;
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}
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if(result != result1)
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{
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ts->printf( cvtest::TS::LOG, "Warning: results differ cvCheckChessboard %d, cvFindChessboardCorners %d\n",
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result, result1);
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}
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int num_pixels = gray->width*gray->height;
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float check_chessboard_time = float(_time01 - _time0)/(float)cvGetTickFrequency(); // in us
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ts->printf(cvtest::TS::LOG, " cvCheckChessboard time s: %f, us per pixel: %f\n",
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check_chessboard_time*1e-6, check_chessboard_time/num_pixels);
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float find_chessboard_time = float(_time1 - _time01)/(float)cvGetTickFrequency();
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ts->printf(cvtest::TS::LOG, " cvFindChessboard time s: %f, us per pixel: %f\n",
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find_chessboard_time*1e-6, find_chessboard_time/num_pixels);
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cvReleaseMat( &_v );
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cvReleaseImage( &img );
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cvReleaseImage( &gray );
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cvReleaseImage( &thresh );
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progress = update_progress( progress, idx-1, max_idx, 0 );
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}
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_exit_:
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/* release occupied memory */
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cvReleaseMat( &_v );
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cvReleaseFileStorage( &fs );
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cvReleaseImage( &img );
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cvReleaseImage( &gray );
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cvReleaseImage( &thresh );
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if( code < 0 )
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ts->set_failed_test_info( code );
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}
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TEST(Calib3d_ChessboardDetector, timing) { CV_ChessboardDetectorTimingTest test; test.safe_run(); }
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/* End of file. */
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