/*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; using namespace gpu; class CV_GpuMatOpSetToTest : public cvtest::BaseTest { public: CV_GpuMatOpSetToTest(); ~CV_GpuMatOpSetToTest() {} protected: void run(int); bool testSetTo(cv::Mat& cpumat, gpu::GpuMat& gpumat, const cv::Mat& cpumask = cv::Mat(), const cv::gpu::GpuMat& gpumask = cv::gpu::GpuMat()); private: int rows; int cols; Scalar s; }; CV_GpuMatOpSetToTest::CV_GpuMatOpSetToTest() { rows = 35; cols = 67; s.val[0] = 127.0; s.val[1] = 127.0; s.val[2] = 127.0; s.val[3] = 127.0; } bool CV_GpuMatOpSetToTest::testSetTo(cv::Mat& cpumat, gpu::GpuMat& gpumat, const cv::Mat& cpumask, const cv::gpu::GpuMat& gpumask) { cpumat.setTo(s, cpumask); gpumat.setTo(s, gpumask); double ret = norm(cpumat, gpumat, NORM_INF); if (ret < std::numeric_limits::epsilon()) return true; else { ts->printf(cvtest::TS::LOG, "\nNorm: %f\n", ret); return false; } } void CV_GpuMatOpSetToTest::run( int /* start_from */) { bool is_test_good = true; cv::Mat cpumask(rows, cols, CV_8UC1); cv::RNG& rng = ts->get_rng(); rng.fill(cpumask, RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar(1.5)); cv::gpu::GpuMat gpumask(cpumask); int lastType = CV_32F; if (TargetArchs::builtWith(NATIVE_DOUBLE) && DeviceInfo().supports(NATIVE_DOUBLE)) lastType = CV_64F; for (int i = 0; i <= lastType; i++) { for (int cn = 1; cn <= 4; ++cn) { int mat_type = CV_MAKETYPE(i, cn); Mat cpumat(rows, cols, mat_type, Scalar::all(0)); GpuMat gpumat(cpumat); is_test_good &= testSetTo(cpumat, gpumat, cpumask, gpumask); } } if (is_test_good == true) ts->set_failed_test_info(cvtest::TS::OK); else ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC); } TEST(GpuMat_setTo, accuracy) { CV_GpuMatOpSetToTest test; test.safe_run(); }