/*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" struct CV_GpuStereoBPTest : public cvtest::BaseTest { void run(int) { cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png"); cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-R.png"); cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", 0); if (img_l.empty() || img_r.empty() || img_template.empty()) { ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA); return; } {cv::Mat temp; cv::cvtColor(img_l, temp, CV_BGR2BGRA); cv::swap(temp, img_l);} {cv::Mat temp; cv::cvtColor(img_r, temp, CV_BGR2BGRA); cv::swap(temp, img_r);} cv::gpu::StereoBeliefPropagation bpm(64, 8, 2, 25, 0.1f, 15, 1, CV_16S); cv::gpu::GpuMat disp; bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp); //cv::imwrite(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", disp); disp.convertTo(disp, img_template.type()); double norm = cv::norm((cv::Mat)disp, img_template, cv::NORM_INF); if (norm >= 0.5) { ts->printf(cvtest::TS::LOG, "\nStereoBP norm = %f\n", norm); ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC); return; } ts->set_failed_test_info(cvtest::TS::OK); } }; TEST(StereoBP, regression) { CV_GpuStereoBPTest test; test.safe_run(); }