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- /*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;
- typedef ::testing::Types<uchar, ushort, short, int, float> AllTypes;
- ////////////////////////////////////////////////////////////////////////////////
- // LessTest
- template <typename T>
- class LessTest : public ::testing::Test
- {
- public:
- void test_gpumat_gpumat()
- {
- const Size size = randomSize(100, 400);
- const int type = DataType<T>::type;
- Mat src1 = randomMat(size, type);
- Mat src2 = randomMat(size, type);
- GpuMat_<T> d_src1(src1), d_src2(src2);
- GpuMat_<uchar> dst = (d_src1 < d_src2) * 255;
- Mat dst_gold;
- cv::compare(src1, src2, dst_gold, CMP_LT);
- EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
- }
- };
- TYPED_TEST_CASE(LessTest, AllTypes);
- TYPED_TEST(LessTest, GpuMat_GpuMat)
- {
- LessTest<TypeParam>::test_gpumat_gpumat();
- }
- ////////////////////////////////////////////////////////////////////////////////
- // MinTest
- template <typename T>
- class MinTest : public ::testing::Test
- {
- public:
- void test_gpumat_gpumat()
- {
- const Size size = randomSize(100, 400);
- const int type = DataType<T>::type;
- Mat src1 = randomMat(size, type);
- Mat src2 = randomMat(size, type);
- GpuMat_<T> d_src1(src1), d_src2(src2);
- GpuMat_<T> dst = min_(d_src1, d_src2);
- Mat dst_gold;
- cv::min(src1, src2, dst_gold);
- EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
- }
- };
- TYPED_TEST_CASE(MinTest, AllTypes);
- TYPED_TEST(MinTest, GpuMat_GpuMat)
- {
- MinTest<TypeParam>::test_gpumat_gpumat();
- }
- ////////////////////////////////////////////////////////////////////////////////
- // ThreshBinaryTest
- typedef ::testing::Types<uchar, short, float> ThreshTypes;
- template <typename T>
- class ThreshBinaryTest : public ::testing::Test
- {
- public:
- void test_gpumat()
- {
- const Size size = randomSize(100, 400);
- const int type = DataType<T>::type;
- Mat src = randomMat(size, type);
- GpuMat_<T> d_src(src);
- GpuMat_<T> dst = threshBinary_(d_src, 128, 0);
- Mat dst_gold;
- cv::threshold(src, dst_gold, 128, 0, THRESH_BINARY);
- EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
- }
- };
- TYPED_TEST_CASE(ThreshBinaryTest, ThreshTypes);
- TYPED_TEST(ThreshBinaryTest, GpuMat)
- {
- ThreshBinaryTest<TypeParam>::test_gpumat();
- }
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