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Open Source Computer Vision Library
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214 lines
6.4 KiB
214 lines
6.4 KiB
/*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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/* ///////////////////// pyrlk_test ///////////////////////// */ |
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class CV_OptFlowPyrLKTest : public cvtest::BaseTest |
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{ |
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public: |
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CV_OptFlowPyrLKTest(); |
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protected: |
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void run(int); |
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}; |
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CV_OptFlowPyrLKTest::CV_OptFlowPyrLKTest() {} |
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void CV_OptFlowPyrLKTest::run( int ) |
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{ |
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int code = cvtest::TS::OK; |
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const double success_error_level = 0.3; |
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const int bad_points_max = 8; |
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/* test parameters */ |
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double max_err = 0., sum_err = 0; |
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int pt_cmpd = 0; |
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int pt_exceed = 0; |
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int merr_i = 0, merr_j = 0, merr_k = 0; |
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char filename[1000]; |
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CvPoint2D32f *u = 0, *v = 0, *v2 = 0; |
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CvMat *_u = 0, *_v = 0, *_v2 = 0; |
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char* status = 0; |
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IplImage* imgI = 0; |
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IplImage* imgJ = 0; |
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int n = 0, i = 0; |
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sprintf( filename, "%soptflow/%s", ts->get_data_path().c_str(), "lk_prev.dat" ); |
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_u = (CvMat*)cvLoad( filename ); |
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if( !_u ) |
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{ |
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ts->printf( cvtest::TS::LOG, "could not read %s\n", filename ); |
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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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sprintf( filename, "%soptflow/%s", ts->get_data_path().c_str(), "lk_next.dat" ); |
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_v = (CvMat*)cvLoad( filename ); |
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if( !_v ) |
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{ |
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ts->printf( cvtest::TS::LOG, "could not read %s\n", filename ); |
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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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if( _u->cols != 2 || CV_MAT_TYPE(_u->type) != CV_32F || |
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_v->cols != 2 || CV_MAT_TYPE(_v->type) != CV_32F || _v->rows != _u->rows ) |
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{ |
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ts->printf( cvtest::TS::LOG, "the loaded matrices of points are not valid\n" ); |
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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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u = (CvPoint2D32f*)_u->data.fl; |
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v = (CvPoint2D32f*)_v->data.fl; |
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/* allocate adidtional buffers */ |
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_v2 = cvCloneMat( _u ); |
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v2 = (CvPoint2D32f*)_v2->data.fl; |
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/* read first image */ |
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sprintf( filename, "%soptflow/%s", ts->get_data_path().c_str(), "rock_1.bmp" ); |
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imgI = cvLoadImage( filename, -1 ); |
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if( !imgI ) |
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{ |
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ts->printf( cvtest::TS::LOG, "could not read %s\n", filename ); |
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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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/* read second image */ |
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sprintf( filename, "%soptflow/%s", ts->get_data_path().c_str(), "rock_2.bmp" ); |
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imgJ = cvLoadImage( filename, -1 ); |
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if( !imgJ ) |
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{ |
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ts->printf( cvtest::TS::LOG, "could not read %s\n", filename ); |
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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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n = _u->rows; |
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status = (char*)cvAlloc(n*sizeof(status[0])); |
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/* calculate flow */ |
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cvCalcOpticalFlowPyrLK( imgI, imgJ, 0, 0, u, v2, n, cvSize( 41, 41 ), |
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4, status, 0, cvTermCriteria( CV_TERMCRIT_ITER| |
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CV_TERMCRIT_EPS, 30, 0.01f ), 0 ); |
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/* compare results */ |
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for( i = 0; i < n; i++ ) |
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{ |
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if( status[i] != 0 ) |
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{ |
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double err; |
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if( cvIsNaN(v[i].x) ) |
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{ |
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merr_j++; |
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continue; |
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} |
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err = fabs(v2[i].x - v[i].x) + fabs(v2[i].y - v[i].y); |
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if( err > max_err ) |
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{ |
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max_err = err; |
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merr_i = i; |
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} |
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pt_exceed += err > success_error_level; |
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sum_err += err; |
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pt_cmpd++; |
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} |
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else |
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{ |
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if( !cvIsNaN( v[i].x )) |
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{ |
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merr_i = i; |
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merr_k++; |
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ts->printf( cvtest::TS::LOG, "The algorithm lost the point #%d\n", i ); |
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code = cvtest::TS::FAIL_BAD_ACCURACY; |
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goto _exit_; |
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} |
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} |
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} |
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if( pt_exceed > bad_points_max ) |
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{ |
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ts->printf( cvtest::TS::LOG, |
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"The number of poorly tracked points is too big (>=%d)\n", pt_exceed ); |
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code = cvtest::TS::FAIL_BAD_ACCURACY; |
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goto _exit_; |
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} |
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if( max_err > 1 ) |
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{ |
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ts->printf( cvtest::TS::LOG, "Maximum tracking error is too big (=%g)\n", max_err ); |
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code = cvtest::TS::FAIL_BAD_ACCURACY; |
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goto _exit_; |
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} |
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_exit_: |
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cvFree( &status ); |
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cvReleaseMat( &_u ); |
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cvReleaseMat( &_v ); |
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cvReleaseMat( &_v2 ); |
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cvReleaseImage( &imgI ); |
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cvReleaseImage( &imgJ ); |
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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(Video_OpticalFlowPyrLK, accuracy) { CV_OptFlowPyrLKTest test; test.safe_run(); } |
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/* End of file. */
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