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169 lines
4.8 KiB
Plaintext
169 lines
4.8 KiB
Plaintext
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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using namespace cv;
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using namespace cv::cuda;
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using namespace cv::cudev;
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using namespace cvtest;
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////////////////////////////////////////////////////////////////////////////////
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// SqrtTest
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template <typename T>
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class SqrtTest : public ::testing::Test
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{
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public:
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void test_gpumat()
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{
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const Size size = randomSize(100, 400);
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const int type = DataType<T>::type;
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Mat src = randomMat(size, type);
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GpuMat_<T> d_src(src);
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GpuMat_<T> dst = sqrt_(d_src);
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Mat dst_gold;
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cv::sqrt(src, dst_gold);
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EXPECT_MAT_NEAR(dst_gold, dst, 1e-4);
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}
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void test_expr()
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{
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const Size size = randomSize(100, 400);
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const int type = DataType<T>::type;
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Mat src1 = randomMat(size, type);
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Mat src2 = randomMat(size, type);
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GpuMat_<T> d_src1(src1), d_src2(src2);
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GpuMat_<T> dst = sqrt_(d_src1 * d_src2);
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Mat dst_gold;
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cv::multiply(src1, src2, dst_gold);
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cv::sqrt(dst_gold, dst_gold);
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EXPECT_MAT_NEAR(dst_gold, dst, 1e-4);
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}
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};
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TYPED_TEST_CASE(SqrtTest, float);
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TYPED_TEST(SqrtTest, GpuMat)
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{
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SqrtTest<TypeParam>::test_gpumat();
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}
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TYPED_TEST(SqrtTest, Expr)
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{
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SqrtTest<TypeParam>::test_expr();
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}
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////////////////////////////////////////////////////////////////////////////////
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// MagnitudeTest
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template <typename T>
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class MagnitudeTest : public ::testing::Test
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{
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public:
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void test_accuracy()
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{
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const Size size = randomSize(100, 400);
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const int type = DataType<T>::type;
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Mat src1 = randomMat(size, type);
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Mat src2 = randomMat(size, type);
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GpuMat_<T> d_src1(src1), d_src2(src2);
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GpuMat_<T> dst1 = hypot_(d_src1, d_src2);
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GpuMat_<T> dst2 = magnitude_(d_src1, d_src2);
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GpuMat_<T> dst3 = sqrt_(sqr_(d_src1) + sqr_(d_src2));
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EXPECT_MAT_NEAR(dst1, dst2, 1e-4);
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EXPECT_MAT_NEAR(dst2, dst3, 0.0);
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}
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};
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TYPED_TEST_CASE(MagnitudeTest, float);
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TYPED_TEST(MagnitudeTest, Accuracy)
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{
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MagnitudeTest<TypeParam>::test_accuracy();
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}
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////////////////////////////////////////////////////////////////////////////////
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// PowTest
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template <typename T>
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class PowTest : public ::testing::Test
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{
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public:
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void test_accuracy()
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{
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const Size size = randomSize(100, 400);
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const int type = DataType<T>::type;
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Mat src = randomMat(size, type);
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GpuMat_<T> d_src(src);
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GpuMat_<T> dst1 = pow_(d_src, 0.5);
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GpuMat_<T> dst2 = sqrt_(d_src);
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EXPECT_MAT_NEAR(dst1, dst2, 1e-5);
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}
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};
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TYPED_TEST_CASE(PowTest, float);
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TYPED_TEST(PowTest, Accuracy)
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{
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PowTest<TypeParam>::test_accuracy();
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}
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