vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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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;
+
+////////////////////////////////////////////////////////////////////////////////
+// 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;
+        std::array<GlobPtrSz<T>, 2 > d_src = {globPtr(d_src1), globPtr(d_src2)};
+        gridMerge(d_src, 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);
+
+        std::array<GlobPtrSz<T>, 3 > d_src = {globPtr(d_src1), globPtr(d_src2), globPtr(d_src3)};
+
+        GpuMat_<typename MakeVec<T, 3>::type> dst;
+        gridMerge(d_src, 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();
+}