284 lines
9.6 KiB
C++
284 lines
9.6 KiB
C++
/*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 "cvtest.h"
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static const char* thresh_param_names[] = { "size", "depth", "thresh_type", 0 };
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static const CvSize thresh_sizes[] = {{30,30}, {320, 240}, {720,480}, {-1,-1}};
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static const CvSize thresh_whole_sizes[] = {{320,240}, {320, 240}, {720,480}, {-1,-1}};
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static const int thresh_depths[] = { CV_8U, CV_32F, -1 };
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static const char* thresh_types[] = { "binary", "binary_inv", "trunc", "tozero", "tozero_inv", 0 };
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class CV_ThreshTest : public CvArrTest
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{
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public:
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CV_ThreshTest();
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protected:
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void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
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double get_success_error_level( int test_case_idx, int i, int j );
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void run_func();
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void prepare_to_validation( int );
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int write_default_params(CvFileStorage* fs);
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void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
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CvSize** whole_sizes, bool *are_images );
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void print_timing_params( int test_case_idx, char* ptr, int params_left );
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int thresh_type;
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float thresh_val;
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float max_val;
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};
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CV_ThreshTest::CV_ThreshTest()
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: CvArrTest( "thresh-simple", "cvThreshold", "" )
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{
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test_array[INPUT].push(NULL);
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test_array[OUTPUT].push(NULL);
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test_array[REF_OUTPUT].push(NULL);
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optional_mask = false;
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element_wise_relative_error = true;
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default_timing_param_names = thresh_param_names;
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depth_list = thresh_depths;
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size_list = thresh_sizes;
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whole_size_list = thresh_whole_sizes;
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cn_list = 0;
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}
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void CV_ThreshTest::get_test_array_types_and_sizes( int test_case_idx,
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CvSize** sizes, int** types )
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{
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CvRNG* rng = ts->get_rng();
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int depth = cvTsRandInt(rng) % 2, cn = cvTsRandInt(rng) % 4 + 1;
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CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
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depth = depth == 0 ? CV_8U : CV_32F;
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types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth,cn);
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thresh_type = cvTsRandInt(rng) % 5;
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if( depth == CV_8U )
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{
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thresh_val = (float)(cvTsRandReal(rng)*350. - 50.);
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max_val = (float)(cvTsRandReal(rng)*350. - 50.);
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if( cvTsRandInt(rng)%4 == 0 )
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max_val = 255;
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}
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else
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{
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thresh_val = (float)(cvTsRandReal(rng)*1000. - 500.);
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max_val = (float)(cvTsRandReal(rng)*1000. - 500.);
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}
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}
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double CV_ThreshTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
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{
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return FLT_EPSILON*10;
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}
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void CV_ThreshTest::run_func()
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{
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cvThreshold( test_array[INPUT][0], test_array[OUTPUT][0],
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thresh_val, max_val, thresh_type );
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}
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static void cvTsThreshold( const CvMat* _src, CvMat* _dst,
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float thresh, float maxval, int thresh_type )
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{
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int i, j;
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int depth = CV_MAT_DEPTH(_src->type), cn = CV_MAT_CN(_src->type);
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int width_n = _src->cols*cn, height = _src->rows;
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int ithresh = cvFloor(thresh), ithresh2, imaxval = cvRound(maxval);
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const uchar* src = _src->data.ptr;
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uchar* dst = _dst->data.ptr;
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ithresh2 = CV_CAST_8U(ithresh);
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imaxval = CV_CAST_8U(imaxval);
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assert( depth == CV_8U || depth == CV_32F );
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switch( thresh_type )
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{
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case CV_THRESH_BINARY:
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for( i = 0; i < height; i++, src += _src->step, dst += _dst->step )
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{
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if( depth == CV_8U )
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for( j = 0; j < width_n; j++ )
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dst[j] = (uchar)(src[j] > ithresh ? imaxval : 0);
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else
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for( j = 0; j < width_n; j++ )
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((float*)dst)[j] = ((const float*)src)[j] > thresh ? maxval : 0.f;
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}
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break;
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case CV_THRESH_BINARY_INV:
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for( i = 0; i < height; i++, src += _src->step, dst += _dst->step )
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{
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if( depth == CV_8U )
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for( j = 0; j < width_n; j++ )
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dst[j] = (uchar)(src[j] > ithresh ? 0 : imaxval);
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else
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for( j = 0; j < width_n; j++ )
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((float*)dst)[j] = ((const float*)src)[j] > thresh ? 0.f : maxval;
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}
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break;
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case CV_THRESH_TRUNC:
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for( i = 0; i < height; i++, src += _src->step, dst += _dst->step )
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{
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if( depth == CV_8U )
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for( j = 0; j < width_n; j++ )
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{
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int s = src[j];
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dst[j] = (uchar)(s > ithresh ? ithresh2 : s);
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}
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else
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for( j = 0; j < width_n; j++ )
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{
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float s = ((const float*)src)[j];
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((float*)dst)[j] = s > thresh ? thresh : s;
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}
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}
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break;
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case CV_THRESH_TOZERO:
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for( i = 0; i < height; i++, src += _src->step, dst += _dst->step )
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{
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if( depth == CV_8U )
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for( j = 0; j < width_n; j++ )
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{
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int s = src[j];
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dst[j] = (uchar)(s > ithresh ? s : 0);
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}
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else
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for( j = 0; j < width_n; j++ )
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{
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float s = ((const float*)src)[j];
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((float*)dst)[j] = s > thresh ? s : 0.f;
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}
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}
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break;
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case CV_THRESH_TOZERO_INV:
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for( i = 0; i < height; i++, src += _src->step, dst += _dst->step )
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{
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if( depth == CV_8U )
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for( j = 0; j < width_n; j++ )
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{
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int s = src[j];
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dst[j] = (uchar)(s > ithresh ? 0 : s);
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}
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else
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for( j = 0; j < width_n; j++ )
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{
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float s = ((const float*)src)[j];
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((float*)dst)[j] = s > thresh ? 0.f : s;
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}
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}
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break;
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default:
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assert(0);
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}
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}
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void CV_ThreshTest::prepare_to_validation( int /*test_case_idx*/ )
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{
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cvTsThreshold( &test_mat[INPUT][0], &test_mat[REF_OUTPUT][0],
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thresh_val, max_val, thresh_type );
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}
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int CV_ThreshTest::write_default_params( CvFileStorage* fs )
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{
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int code = CvArrTest::write_default_params( fs );
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if( code < 0 )
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return code;
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if( ts->get_testing_mode() == CvTS::TIMING_MODE )
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{
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start_write_param( fs );
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write_string_list( fs, "thresh_type", thresh_types );
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}
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return code;
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}
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void CV_ThreshTest::get_timing_test_array_types_and_sizes( int test_case_idx,
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CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
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{
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CvArrTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
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whole_sizes, are_images );
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const char* thresh_str = cvReadString( find_timing_param( "thresh_type" ), "binary" );
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thresh_type = strcmp( thresh_str, "binary" ) == 0 ? CV_THRESH_BINARY :
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strcmp( thresh_str, "binary_inv" ) == 0 ? CV_THRESH_BINARY_INV :
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strcmp( thresh_str, "trunc" ) == 0 ? CV_THRESH_TRUNC :
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strcmp( thresh_str, "tozero" ) == 0 ? CV_THRESH_TOZERO :
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CV_THRESH_TOZERO_INV;
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if( CV_MAT_DEPTH(types[INPUT][0]) == CV_8U )
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{
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thresh_val = 128;
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max_val = 255;
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}
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else
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{
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thresh_val = 500.;
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max_val = 1.;
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}
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}
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void CV_ThreshTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
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{
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sprintf( ptr, "%s,", cvReadString( find_timing_param( "thresh_type" ), "binary" ) );
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ptr += strlen(ptr);
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params_left--;
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CvArrTest::print_timing_params( test_case_idx, ptr, params_left );
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}
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CV_ThreshTest thresh_test;
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