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Open Source Computer Vision Library
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180 lines
5.3 KiB
180 lines
5.3 KiB
/*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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typedef ::testing::Types<uchar, ushort, short, int, float> AllTypes; |
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//////////////////////////////////////////////////////////////////////////////// |
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// MergeTest |
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template <typename T> |
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class MergeTest : public ::testing::Test |
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{ |
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public: |
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void test_c2() |
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{ |
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const Size size = randomSize(100, 400); |
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const int src_type = DataType<T>::type; |
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Mat src1 = randomMat(size, src_type); |
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Mat src2 = randomMat(size, src_type); |
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GpuMat_<T> d_src1(src1); |
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GpuMat_<T> d_src2(src2); |
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GpuMat_<typename MakeVec<T, 2>::type> dst; |
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gridMerge(zipPtr(d_src1, d_src2), dst); |
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Mat dst_gold; |
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Mat srcs[] = {src1, src2}; |
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cv::merge(srcs, 2, dst_gold); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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void test_c3() |
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{ |
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const Size size = randomSize(100, 400); |
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const int src_type = DataType<T>::type; |
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Mat src1 = randomMat(size, src_type); |
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Mat src2 = randomMat(size, src_type); |
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Mat src3 = randomMat(size, src_type); |
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GpuMat_<T> d_src1(src1); |
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GpuMat_<T> d_src2(src2); |
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GpuMat_<T> d_src3(src3); |
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GpuMat_<typename MakeVec<T, 3>::type> dst; |
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gridMerge(zipPtr(d_src1, d_src2, d_src3), dst); |
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Mat dst_gold; |
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Mat srcs[] = {src1, src2, src3}; |
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cv::merge(srcs, 3, dst_gold); |
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ASSERT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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}; |
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TYPED_TEST_CASE(MergeTest, AllTypes); |
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TYPED_TEST(MergeTest, C2) |
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{ |
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MergeTest<TypeParam>::test_c2(); |
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} |
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TYPED_TEST(MergeTest, C3) |
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{ |
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MergeTest<TypeParam>::test_c3(); |
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} |
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//////////////////////////////////////////////////////////////////////////////// |
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// SplitTest |
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template <typename T> |
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class SplitTest : public ::testing::Test |
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{ |
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public: |
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void test_c3() |
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{ |
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const Size size = randomSize(100, 400); |
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const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 3); |
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Mat src = randomMat(size, src_type); |
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GpuMat_<typename MakeVec<T, 3>::type> d_src(src); |
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GpuMat_<T> dst1, dst2, dst3; |
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gridSplit(d_src, tie(dst1, dst2, dst3)); |
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std::vector<Mat> dst; |
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cv::split(src, dst); |
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ASSERT_MAT_NEAR(dst[0], dst1, 0.0); |
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ASSERT_MAT_NEAR(dst[1], dst2, 0.0); |
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ASSERT_MAT_NEAR(dst[2], dst3, 0.0); |
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} |
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void test_c4() |
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{ |
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const Size size = randomSize(100, 400); |
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const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 4); |
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Mat src = randomMat(size, src_type); |
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GpuMat_<typename MakeVec<T, 4>::type> d_src(src); |
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GpuMat_<T> dst1, dst2, dst3, dst4; |
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gridSplit(d_src, tie(dst1, dst2, dst3, dst4)); |
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std::vector<Mat> dst; |
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cv::split(src, dst); |
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ASSERT_MAT_NEAR(dst[0], dst1, 0.0); |
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ASSERT_MAT_NEAR(dst[1], dst2, 0.0); |
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ASSERT_MAT_NEAR(dst[2], dst3, 0.0); |
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ASSERT_MAT_NEAR(dst[3], dst4, 0.0); |
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} |
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}; |
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TYPED_TEST_CASE(SplitTest, AllTypes); |
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TYPED_TEST(SplitTest, C3) |
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{ |
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SplitTest<TypeParam>::test_c3(); |
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} |
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TYPED_TEST(SplitTest, C4) |
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{ |
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SplitTest<TypeParam>::test_c4(); |
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}
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