181 lines
		
	
	
		
			5.3 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			181 lines
		
	
	
		
			5.3 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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| 
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| #include "test_precomp.hpp"
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| 
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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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| typedef ::testing::Types<uchar, ushort, short, int, float> AllTypes;
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| 
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| ////////////////////////////////////////////////////////////////////////////////
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| // MergeTest
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| 
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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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| 
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|         const int src_type = DataType<T>::type;
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| 
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|         Mat src1 = randomMat(size, src_type);
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|         Mat src2 = randomMat(size, src_type);
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| 
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|         GpuMat_<T> d_src1(src1);
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|         GpuMat_<T> d_src2(src2);
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| 
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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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| 
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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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| 
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|         EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
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|     }
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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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| 
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|         const int src_type = DataType<T>::type;
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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|         ASSERT_MAT_NEAR(dst_gold, dst, 0.0);
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|     }
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| };
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| 
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| TYPED_TEST_CASE(MergeTest, AllTypes);
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| 
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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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| 
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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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| ////////////////////////////////////////////////////////////////////////////////
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| // SplitTest
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| 
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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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| 
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|         const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 3);
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| 
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|         Mat src = randomMat(size, src_type);
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| 
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|         GpuMat_<typename MakeVec<T, 3>::type> d_src(src);
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| 
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|         GpuMat_<T> dst1, dst2, dst3;
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|         gridSplit(d_src, tie(dst1, dst2, dst3));
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| 
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|         std::vector<Mat> dst;
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|         cv::split(src, dst);
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| 
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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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| 
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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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| 
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|         const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 4);
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| 
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|         Mat src = randomMat(size, src_type);
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| 
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|         GpuMat_<typename MakeVec<T, 4>::type> d_src(src);
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| 
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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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| 
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|         std::vector<Mat> dst;
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|         cv::split(src, dst);
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| 
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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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| 
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| TYPED_TEST_CASE(SplitTest, AllTypes);
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| 
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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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| 
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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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