/*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" using namespace cv; using namespace std; struct CV_AsyncStereoBMTest : public cvtest::BaseTest { void run( int /* start_from */) { cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png", 0); cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png", 0); cv::Mat img_reference = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-disp.png", 0); if (img_l.empty() || img_r.empty() || img_reference.empty()) { ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA); return; } cv::gpu::GpuMat disp; cv::gpu::StereoBM_GPU bm(0, 128, 19); cv::gpu::Stream stream; for (size_t i = 0; i < 50; i++) { bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp, stream); } stream.waitForCompletion(); disp.convertTo(disp, img_reference.type()); double norm = cv::norm(disp, img_reference, cv::NORM_INF); if (norm >= 100) { ts->printf(cvtest::TS::LOG, "\nStereoBM norm = %f\n", norm); ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC); return; } ts->set_failed_test_info(cvtest::TS::OK); } }; TEST(StereoBM, async) { CV_AsyncStereoBMTest test; test.safe_run(); }