123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182 |
- /*
- * 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.
- *
- *
- * License Agreement
- * For Open Source Computer Vision Library
- * (3 - clause BSD License)
- *
- * Redistribution and use in source and binary forms, with or without modification,
- * are permitted provided that the following conditions are met :
- *
- * * Redistributions of source code must retain the above copyright notice,
- * this list of conditions and the following disclaimer.
- *
- * * Redistributions 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.
- *
- * * Neither the names of the copyright holders nor the names of the contributors
- * may 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 copyright holders 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.
- */
- #include "perf_precomp.hpp"
- namespace opencv_test
- {
- using namespace perf;
- using namespace testing;
- static void MakeArtificialExample(Mat& dst_left_view, Mat& dst_view);
- CV_ENUM(SGBMModes, StereoSGBM::MODE_SGBM, StereoSGBM::MODE_SGBM_3WAY, StereoSGBM::MODE_HH4);
- typedef tuple<Size, int, SGBMModes> SGBMParams;
- typedef TestBaseWithParam<SGBMParams> TestStereoCorrespSGBM;
- #ifndef _DEBUG
- PERF_TEST_P( TestStereoCorrespSGBM, SGBM, Combine(Values(Size(1280,720),Size(640,480)), Values(256,128), SGBMModes::all()) )
- #else
- PERF_TEST_P( TestStereoCorrespSGBM, DISABLED_TooLongInDebug_SGBM, Combine(Values(Size(1280,720),Size(640,480)), Values(256,128), SGBMModes::all()) )
- #endif
- {
- SGBMParams params = GetParam();
- Size sz = get<0>(params);
- int num_disparities = get<1>(params);
- int mode = get<2>(params);
- Mat src_left(sz, CV_8UC3);
- Mat src_right(sz, CV_8UC3);
- Mat dst(sz, CV_16S);
- MakeArtificialExample(src_left,src_right);
- int wsize = 3;
- int P1 = 8*src_left.channels()*wsize*wsize;
- TEST_CYCLE()
- {
- Ptr<StereoSGBM> sgbm = StereoSGBM::create(0,num_disparities,wsize,P1,4*P1,1,63,25,0,0,mode);
- sgbm->compute(src_left,src_right,dst);
- }
- SANITY_CHECK(dst, .01, ERROR_RELATIVE);
- }
- typedef tuple<Size, int> BMParams;
- typedef TestBaseWithParam<BMParams> TestStereoCorrespBM;
- PERF_TEST_P(TestStereoCorrespBM, BM, Combine(Values(Size(1280, 720), Size(640, 480)), Values(256, 128)))
- {
- BMParams params = GetParam();
- Size sz = get<0>(params);
- int num_disparities = get<1>(params);
- Mat src_left(sz, CV_8UC1);
- Mat src_right(sz, CV_8UC1);
- Mat dst(sz, CV_16S);
- MakeArtificialExample(src_left, src_right);
- int wsize = 21;
- TEST_CYCLE()
- {
- Ptr<StereoBM> bm = StereoBM::create(num_disparities, wsize);
- bm->compute(src_left, src_right, dst);
- }
- SANITY_CHECK(dst, .01, ERROR_RELATIVE);
- }
- void MakeArtificialExample(Mat& dst_left_view, Mat& dst_right_view)
- {
- RNG rng(0);
- int w = dst_left_view.cols;
- int h = dst_left_view.rows;
- //params:
- unsigned char bg_level = (unsigned char)rng.uniform(0.0,255.0);
- unsigned char fg_level = (unsigned char)rng.uniform(0.0,255.0);
- int rect_width = (int)rng.uniform(w/16,w/2);
- int rect_height = (int)rng.uniform(h/16,h/2);
- int rect_disparity = (int)(0.15*w);
- double sigma = 3.0;
- int rect_x_offset = (w-rect_width) /2;
- int rect_y_offset = (h-rect_height)/2;
- if(dst_left_view.channels()==3)
- {
- dst_left_view = Scalar(Vec3b(bg_level,bg_level,bg_level));
- dst_right_view = Scalar(Vec3b(bg_level,bg_level,bg_level));
- }
- else
- {
- dst_left_view = Scalar(bg_level);
- dst_right_view = Scalar(bg_level);
- }
- Mat dst_left_view_rect = Mat(dst_left_view, Rect(rect_x_offset,rect_y_offset,rect_width,rect_height));
- if(dst_left_view.channels()==3)
- dst_left_view_rect = Scalar(Vec3b(fg_level,fg_level,fg_level));
- else
- dst_left_view_rect = Scalar(fg_level);
- rect_x_offset-=rect_disparity;
- Mat dst_right_view_rect = Mat(dst_right_view, Rect(rect_x_offset,rect_y_offset,rect_width,rect_height));
- if(dst_right_view.channels()==3)
- dst_right_view_rect = Scalar(Vec3b(fg_level,fg_level,fg_level));
- else
- dst_right_view_rect = Scalar(fg_level);
- //add some gaussian noise:
- unsigned char *l, *r;
- for(int i=0;i<h;i++)
- {
- l = dst_left_view.ptr(i);
- r = dst_right_view.ptr(i);
- if(dst_left_view.channels()==3)
- {
- for(int j=0;j<w;j++)
- {
- l[0] = saturate_cast<unsigned char>(l[0] + rng.gaussian(sigma));
- l[1] = saturate_cast<unsigned char>(l[1] + rng.gaussian(sigma));
- l[2] = saturate_cast<unsigned char>(l[2] + rng.gaussian(sigma));
- l+=3;
- r[0] = saturate_cast<unsigned char>(r[0] + rng.gaussian(sigma));
- r[1] = saturate_cast<unsigned char>(r[1] + rng.gaussian(sigma));
- r[2] = saturate_cast<unsigned char>(r[2] + rng.gaussian(sigma));
- r+=3;
- }
- }
- else
- {
- for(int j=0;j<w;j++)
- {
- l[0] = saturate_cast<unsigned char>(l[0] + rng.gaussian(sigma));
- l++;
- r[0] = saturate_cast<unsigned char>(r[0] + rng.gaussian(sigma));
- r++;
- }
- }
- }
- }
- }
|