opencv/modules/cudev/test/test_split_merge.cu

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// By downloading, copying, installing or using the software you agree to this license.
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// 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.
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// * 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.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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#include "test_precomp.hpp"
using namespace cv;
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using namespace cv::cuda;
using namespace cv::cudev;
using namespace cvtest;
typedef ::testing::Types<uchar, ushort, short, int, float> AllTypes;
////////////////////////////////////////////////////////////////////////////////
// MergeTest
template <typename T>
class MergeTest : public ::testing::Test
{
public:
void test_c2()
{
const Size size = randomSize(100, 400);
const int src_type = DataType<T>::type;
Mat src1 = randomMat(size, src_type);
Mat src2 = randomMat(size, src_type);
GpuMat_<T> d_src1(src1);
GpuMat_<T> d_src2(src2);
GpuMat_<typename MakeVec<T, 2>::type> dst;
gridMerge(zipPtr(d_src1, d_src2), dst);
Mat dst_gold;
Mat srcs[] = {src1, src2};
cv::merge(srcs, 2, dst_gold);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
}
void test_c3()
{
const Size size = randomSize(100, 400);
const int src_type = DataType<T>::type;
Mat src1 = randomMat(size, src_type);
Mat src2 = randomMat(size, src_type);
Mat src3 = randomMat(size, src_type);
GpuMat_<T> d_src1(src1);
GpuMat_<T> d_src2(src2);
GpuMat_<T> d_src3(src3);
GpuMat_<typename MakeVec<T, 3>::type> dst;
gridMerge(zipPtr(d_src1, d_src2, d_src3), dst);
Mat dst_gold;
Mat srcs[] = {src1, src2, src3};
cv::merge(srcs, 3, dst_gold);
ASSERT_MAT_NEAR(dst_gold, dst, 0.0);
}
};
TYPED_TEST_CASE(MergeTest, AllTypes);
TYPED_TEST(MergeTest, C2)
{
MergeTest<TypeParam>::test_c2();
}
TYPED_TEST(MergeTest, C3)
{
MergeTest<TypeParam>::test_c3();
}
////////////////////////////////////////////////////////////////////////////////
// SplitTest
template <typename T>
class SplitTest : public ::testing::Test
{
public:
void test_c3()
{
const Size size = randomSize(100, 400);
const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 3);
Mat src = randomMat(size, src_type);
GpuMat_<typename MakeVec<T, 3>::type> d_src(src);
GpuMat_<T> dst1, dst2, dst3;
gridSplit(d_src, tie(dst1, dst2, dst3));
std::vector<Mat> dst;
cv::split(src, dst);
ASSERT_MAT_NEAR(dst[0], dst1, 0.0);
ASSERT_MAT_NEAR(dst[1], dst2, 0.0);
ASSERT_MAT_NEAR(dst[2], dst3, 0.0);
}
void test_c4()
{
const Size size = randomSize(100, 400);
const int src_type = CV_MAKE_TYPE(DataType<T>::depth, 4);
Mat src = randomMat(size, src_type);
GpuMat_<typename MakeVec<T, 4>::type> d_src(src);
GpuMat_<T> dst1, dst2, dst3, dst4;
gridSplit(d_src, tie(dst1, dst2, dst3, dst4));
std::vector<Mat> dst;
cv::split(src, dst);
ASSERT_MAT_NEAR(dst[0], dst1, 0.0);
ASSERT_MAT_NEAR(dst[1], dst2, 0.0);
ASSERT_MAT_NEAR(dst[2], dst3, 0.0);
ASSERT_MAT_NEAR(dst[3], dst4, 0.0);
}
};
TYPED_TEST_CASE(SplitTest, AllTypes);
TYPED_TEST(SplitTest, C3)
{
SplitTest<TypeParam>::test_c3();
}
TYPED_TEST(SplitTest, C4)
{
SplitTest<TypeParam>::test_c4();
}