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- /*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"
- namespace opencv_test { namespace {
- ///////////////////// base MHI class ///////////////////////
- class CV_MHIBaseTest : public cvtest::ArrayTest
- {
- public:
- CV_MHIBaseTest();
- protected:
- void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
- void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
- int prepare_test_case( int test_case_idx );
- double timestamp, duration, max_log_duration;
- int mhi_i, mhi_ref_i;
- double silh_ratio;
- };
- CV_MHIBaseTest::CV_MHIBaseTest()
- {
- timestamp = duration = 0;
- max_log_duration = 9;
- mhi_i = mhi_ref_i = -1;
- silh_ratio = 0.25;
- }
- void CV_MHIBaseTest::get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high )
- {
- cvtest::ArrayTest::get_minmax_bounds( i, j, type, low, high );
- if( i == INPUT && CV_MAT_DEPTH(type) == CV_8U )
- {
- low = Scalar::all(cvRound(-1./silh_ratio)+2.);
- high = Scalar::all(2);
- }
- else if( i == mhi_i || i == mhi_ref_i )
- {
- low = Scalar::all(-exp(max_log_duration));
- high = Scalar::all(0.);
- }
- }
- void CV_MHIBaseTest::get_test_array_types_and_sizes( int test_case_idx,
- vector<vector<Size> >& sizes, vector<vector<int> >& types )
- {
- RNG& rng = ts->get_rng();
- cvtest::ArrayTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
- types[INPUT][0] = CV_8UC1;
- types[mhi_i][0] = types[mhi_ref_i][0] = CV_32FC1;
- duration = exp(cvtest::randReal(rng)*max_log_duration);
- timestamp = duration + cvtest::randReal(rng)*30.-10.;
- }
- int CV_MHIBaseTest::prepare_test_case( int test_case_idx )
- {
- int code = cvtest::ArrayTest::prepare_test_case( test_case_idx );
- if( code > 0 )
- {
- Mat& mat = test_mat[mhi_i][0];
- mat += Scalar::all(duration);
- cv::max(mat, 0, mat);
- if( mhi_i != mhi_ref_i )
- {
- Mat& mat0 = test_mat[mhi_ref_i][0];
- cvtest::copy( mat, mat0 );
- }
- }
- return code;
- }
- ///////////////////// update motion history ////////////////////////////
- static void test_updateMHI( const Mat& silh, Mat& mhi, double timestamp, double duration )
- {
- int i, j;
- float delbound = (float)(timestamp - duration);
- for( i = 0; i < mhi.rows; i++ )
- {
- const uchar* silh_row = silh.ptr(i);
- float* mhi_row = mhi.ptr<float>(i);
- for( j = 0; j < mhi.cols; j++ )
- {
- if( silh_row[j] )
- mhi_row[j] = (float)timestamp;
- else if( mhi_row[j] < delbound )
- mhi_row[j] = 0.f;
- }
- }
- }
- class CV_UpdateMHITest : public CV_MHIBaseTest
- {
- public:
- CV_UpdateMHITest();
- protected:
- double get_success_error_level( int test_case_idx, int i, int j );
- void run_func();
- void prepare_to_validation( int );
- };
- CV_UpdateMHITest::CV_UpdateMHITest()
- {
- test_array[INPUT].push_back(NULL);
- test_array[INPUT_OUTPUT].push_back(NULL);
- test_array[REF_INPUT_OUTPUT].push_back(NULL);
- mhi_i = INPUT_OUTPUT; mhi_ref_i = REF_INPUT_OUTPUT;
- }
- double CV_UpdateMHITest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
- {
- return 0;
- }
- void CV_UpdateMHITest::run_func()
- {
- cv::motempl::updateMotionHistory( test_mat[INPUT][0], test_mat[INPUT_OUTPUT][0], timestamp, duration);
- }
- void CV_UpdateMHITest::prepare_to_validation( int /*test_case_idx*/ )
- {
- //CvMat m0 = test_mat[REF_INPUT_OUTPUT][0];
- test_updateMHI( test_mat[INPUT][0], test_mat[REF_INPUT_OUTPUT][0], timestamp, duration );
- }
- ///////////////////// calc motion gradient ////////////////////////////
- static void test_MHIGradient( const Mat& mhi, Mat& mask, Mat& orientation,
- double delta1, double delta2, int aperture_size )
- {
- Point anchor( aperture_size/2, aperture_size/2 );
- double limit = 1e-4*aperture_size*aperture_size;
- Mat dx, dy, min_mhi, max_mhi;
- Mat kernel = cvtest::calcSobelKernel2D( 1, 0, aperture_size );
- cvtest::filter2D( mhi, dx, CV_32F, kernel, anchor, 0, BORDER_REPLICATE );
- kernel = cvtest::calcSobelKernel2D( 0, 1, aperture_size );
- cvtest::filter2D( mhi, dy, CV_32F, kernel, anchor, 0, BORDER_REPLICATE );
- kernel = Mat::ones(aperture_size, aperture_size, CV_8U);
- cvtest::erode(mhi, min_mhi, kernel, anchor, 0, BORDER_REPLICATE);
- cvtest::dilate(mhi, max_mhi, kernel, anchor, 0, BORDER_REPLICATE);
- if( delta1 > delta2 )
- {
- std::swap( delta1, delta2 );
- }
- for( int i = 0; i < mhi.rows; i++ )
- {
- uchar* mask_row = mask.ptr(i);
- float* orient_row = orientation.ptr<float>(i);
- const float* dx_row = dx.ptr<float>(i);
- const float* dy_row = dy.ptr<float>(i);
- const float* min_row = min_mhi.ptr<float>(i);
- const float* max_row = max_mhi.ptr<float>(i);
- for( int j = 0; j < mhi.cols; j++ )
- {
- double delta = max_row[j] - min_row[j];
- double _dx = dx_row[j], _dy = dy_row[j];
- if( delta1 <= delta && delta <= delta2 &&
- (fabs(_dx) > limit || fabs(_dy) > limit) )
- {
- mask_row[j] = 1;
- double angle = atan2( _dy, _dx ) * (180/CV_PI);
- if( angle < 0 )
- angle += 360.;
- orient_row[j] = (float)angle;
- }
- else
- {
- mask_row[j] = 0;
- orient_row[j] = 0.f;
- }
- }
- }
- }
- class CV_MHIGradientTest : public CV_MHIBaseTest
- {
- public:
- CV_MHIGradientTest();
- protected:
- void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
- double get_success_error_level( int test_case_idx, int i, int j );
- void run_func();
- void prepare_to_validation( int );
- double delta1, delta2, delta_range_log;
- int aperture_size;
- };
- CV_MHIGradientTest::CV_MHIGradientTest()
- {
- mhi_i = mhi_ref_i = INPUT;
- test_array[INPUT].push_back(NULL);
- test_array[OUTPUT].push_back(NULL);
- test_array[OUTPUT].push_back(NULL);
- test_array[REF_OUTPUT].push_back(NULL);
- test_array[REF_OUTPUT].push_back(NULL);
- delta1 = delta2 = 0;
- aperture_size = 0;
- delta_range_log = 4;
- }
- void CV_MHIGradientTest::get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types )
- {
- RNG& rng = ts->get_rng();
- CV_MHIBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
- types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_8UC1;
- types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_32FC1;
- delta1 = exp(cvtest::randReal(rng)*delta_range_log + 1.);
- delta2 = exp(cvtest::randReal(rng)*delta_range_log + 1.);
- aperture_size = (cvtest::randInt(rng)%3)*2+3;
- //duration = exp(cvtest::randReal(rng)*max_log_duration);
- //timestamp = duration + cvtest::randReal(rng)*30.-10.;
- }
- double CV_MHIGradientTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int j )
- {
- return j == 0 ? 0 : 2e-1;
- }
- void CV_MHIGradientTest::run_func()
- {
- cv::motempl::calcMotionGradient(test_mat[INPUT][0], test_mat[OUTPUT][0],
- test_mat[OUTPUT][1], delta1, delta2, aperture_size );
- //cvCalcMotionGradient( test_array[INPUT][0], test_array[OUTPUT][0],
- // test_array[OUTPUT][1], delta1, delta2, aperture_size );
- }
- void CV_MHIGradientTest::prepare_to_validation( int /*test_case_idx*/ )
- {
- test_MHIGradient( test_mat[INPUT][0], test_mat[REF_OUTPUT][0],
- test_mat[REF_OUTPUT][1], delta1, delta2, aperture_size );
- test_mat[REF_OUTPUT][0] += Scalar::all(1);
- test_mat[OUTPUT][0] += Scalar::all(1);
- }
- ////////////////////// calc global orientation /////////////////////////
- static double test_calcGlobalOrientation( const Mat& orient, const Mat& mask,
- const Mat& mhi, double timestamp, double duration )
- {
- const int HIST_SIZE = 12;
- int y, x;
- int histogram[HIST_SIZE];
- int max_bin = 0;
- double base_orientation = 0, delta_orientation = 0, weight = 0;
- double low_time, global_orientation;
- memset( histogram, 0, sizeof( histogram ));
- timestamp = 0;
- for( y = 0; y < orient.rows; y++ )
- {
- const float* orient_data = orient.ptr<float>(y);
- const uchar* mask_data = mask.ptr(y);
- const float* mhi_data = mhi.ptr<float>(y);
- for( x = 0; x < orient.cols; x++ )
- if( mask_data[x] )
- {
- int bin = cvFloor( (orient_data[x]*HIST_SIZE)/360 );
- histogram[bin < 0 ? 0 : bin >= HIST_SIZE ? HIST_SIZE-1 : bin]++;
- if( mhi_data[x] > timestamp )
- timestamp = mhi_data[x];
- }
- }
- low_time = timestamp - duration;
- for( x = 1; x < HIST_SIZE; x++ )
- {
- if( histogram[x] > histogram[max_bin] )
- max_bin = x;
- }
- base_orientation = ((double)max_bin*360)/HIST_SIZE;
- for( y = 0; y < orient.rows; y++ )
- {
- const float* orient_data = orient.ptr<float>(y);
- const float* mhi_data = mhi.ptr<float>(y);
- const uchar* mask_data = mask.ptr(y);
- for( x = 0; x < orient.cols; x++ )
- {
- if( mask_data[x] && mhi_data[x] > low_time )
- {
- double diff = orient_data[x] - base_orientation;
- double delta_weight = (((mhi_data[x] - low_time)/duration)*254 + 1)/255;
- if( diff < -180 ) diff += 360;
- if( diff > 180 ) diff -= 360;
- if( delta_weight > 0 && fabs(diff) < 45 )
- {
- delta_orientation += diff*delta_weight;
- weight += delta_weight;
- }
- }
- }
- }
- if( weight == 0 )
- global_orientation = base_orientation;
- else
- {
- global_orientation = base_orientation + delta_orientation/weight;
- if( global_orientation < 0 ) global_orientation += 360;
- if( global_orientation > 360 ) global_orientation -= 360;
- }
- return global_orientation;
- }
- class CV_MHIGlobalOrientTest : public CV_MHIBaseTest
- {
- public:
- CV_MHIGlobalOrientTest();
- protected:
- void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
- void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
- double get_success_error_level( int test_case_idx, int i, int j );
- int validate_test_results( int test_case_idx );
- void run_func();
- double angle, min_angle, max_angle;
- };
- CV_MHIGlobalOrientTest::CV_MHIGlobalOrientTest()
- {
- mhi_i = mhi_ref_i = INPUT;
- test_array[INPUT].push_back(NULL);
- test_array[INPUT].push_back(NULL);
- test_array[INPUT].push_back(NULL);
- min_angle = max_angle = 0;
- }
- void CV_MHIGlobalOrientTest::get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types )
- {
- RNG& rng = ts->get_rng();
- CV_MHIBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
- Size size = sizes[INPUT][0];
- size.width = MAX( size.width, 16 );
- size.height = MAX( size.height, 16 );
- sizes[INPUT][0] = sizes[INPUT][1] = sizes[INPUT][2] = size;
- types[INPUT][1] = CV_8UC1; // mask
- types[INPUT][2] = CV_32FC1; // orientation
- min_angle = cvtest::randReal(rng)*359.9;
- max_angle = cvtest::randReal(rng)*359.9;
- if( min_angle >= max_angle )
- {
- std::swap( min_angle, max_angle);
- }
- max_angle += 0.1;
- duration = exp(cvtest::randReal(rng)*max_log_duration);
- timestamp = duration + cvtest::randReal(rng)*30.-10.;
- }
- void CV_MHIGlobalOrientTest::get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high )
- {
- CV_MHIBaseTest::get_minmax_bounds( i, j, type, low, high );
- if( i == INPUT && j == 2 )
- {
- low = Scalar::all(min_angle);
- high = Scalar::all(max_angle);
- }
- }
- double CV_MHIGlobalOrientTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
- {
- return 15;
- }
- void CV_MHIGlobalOrientTest::run_func()
- {
- //angle = cvCalcGlobalOrientation( test_array[INPUT][2], test_array[INPUT][1],
- // test_array[INPUT][0], timestamp, duration );
- angle = cv::motempl::calcGlobalOrientation(test_mat[INPUT][2], test_mat[INPUT][1],
- test_mat[INPUT][0], timestamp, duration );
- }
- int CV_MHIGlobalOrientTest::validate_test_results( int test_case_idx )
- {
- //printf("%d. rows=%d, cols=%d, nzmask=%d\n", test_case_idx, test_mat[INPUT][1].rows, test_mat[INPUT][1].cols,
- // cvCountNonZero(test_array[INPUT][1]));
- double ref_angle = test_calcGlobalOrientation( test_mat[INPUT][2], test_mat[INPUT][1],
- test_mat[INPUT][0], timestamp, duration );
- double err_level = get_success_error_level( test_case_idx, 0, 0 );
- int code = cvtest::TS::OK;
- int nz = countNonZero( test_mat[INPUT][1] );
- if( nz > 32 && !(min_angle - err_level <= angle &&
- max_angle + err_level >= angle) &&
- !(min_angle - err_level <= angle+360 &&
- max_angle + err_level >= angle+360) )
- {
- ts->printf( cvtest::TS::LOG, "The angle=%g is outside (%g,%g) range\n",
- angle, min_angle - err_level, max_angle + err_level );
- code = cvtest::TS::FAIL_BAD_ACCURACY;
- }
- else if( fabs(angle - ref_angle) > err_level &&
- fabs(360 - fabs(angle - ref_angle)) > err_level )
- {
- ts->printf( cvtest::TS::LOG, "The angle=%g differs too much from reference value=%g\n",
- angle, ref_angle );
- code = cvtest::TS::FAIL_BAD_ACCURACY;
- }
- if( code < 0 )
- ts->set_failed_test_info( code );
- return code;
- }
- TEST(Video_MHIUpdate, accuracy) { CV_UpdateMHITest test; test.safe_run(); }
- TEST(Video_MHIGradient, accuracy) { CV_MHIGradientTest test; test.safe_run(); }
- TEST(Video_MHIGlobalOrient, accuracy) { CV_MHIGlobalOrientTest test; test.safe_run(); }
- }} // namespace
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