/*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. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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 cv::cuda; using namespace cv::cudev; using namespace cvtest; //////////////////////////////////////////////////////////////////////////////// // SqrtTest template class SqrtTest : public ::testing::Test { public: void test_gpumat() { const Size size = randomSize(100, 400); const int type = DataType::type; Mat src = randomMat(size, type); GpuMat_ d_src(src); GpuMat_ dst = sqrt_(d_src); Mat dst_gold; cv::sqrt(src, dst_gold); EXPECT_MAT_NEAR(dst_gold, dst, 1e-4); } void test_expr() { const Size size = randomSize(100, 400); const int type = DataType::type; Mat src1 = randomMat(size, type); Mat src2 = randomMat(size, type); GpuMat_ d_src1(src1), d_src2(src2); GpuMat_ dst = sqrt_(d_src1 * d_src2); Mat dst_gold; cv::multiply(src1, src2, dst_gold); cv::sqrt(dst_gold, dst_gold); EXPECT_MAT_NEAR(dst_gold, dst, 1e-4); } }; TYPED_TEST_CASE(SqrtTest, float); TYPED_TEST(SqrtTest, GpuMat) { SqrtTest::test_gpumat(); } TYPED_TEST(SqrtTest, Expr) { SqrtTest::test_expr(); } //////////////////////////////////////////////////////////////////////////////// // MagnitudeTest template class MagnitudeTest : public ::testing::Test { public: void test_accuracy() { const Size size = randomSize(100, 400); const int type = DataType::type; Mat src1 = randomMat(size, type); Mat src2 = randomMat(size, type); GpuMat_ d_src1(src1), d_src2(src2); GpuMat_ dst1 = hypot_(d_src1, d_src2); GpuMat_ dst2 = magnitude_(d_src1, d_src2); GpuMat_ dst3 = sqrt_(sqr_(d_src1) + sqr_(d_src2)); EXPECT_MAT_NEAR(dst1, dst2, 1e-4); EXPECT_MAT_NEAR(dst2, dst3, 0.0); } }; TYPED_TEST_CASE(MagnitudeTest, float); TYPED_TEST(MagnitudeTest, Accuracy) { MagnitudeTest::test_accuracy(); } //////////////////////////////////////////////////////////////////////////////// // PowTest template class PowTest : public ::testing::Test { public: void test_accuracy() { const Size size = randomSize(100, 400); const int type = DataType::type; Mat src = randomMat(size, type); GpuMat_ d_src(src); GpuMat_ dst1 = pow_(d_src, 0.5); GpuMat_ dst2 = sqrt_(d_src); EXPECT_MAT_NEAR(dst1, dst2, 1e-5); } }; TYPED_TEST_CASE(PowTest, float); TYPED_TEST(PowTest, Accuracy) { PowTest::test_accuracy(); }