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https://github.com/opencv/opencv.git
synced 2024-11-29 05:29:54 +08:00
fixed some GPU tests failing when compiled for 1.1(no doubles) and run on 1.3(with doubles)
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9e48f64149
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@ -222,7 +222,7 @@ CV_EXPORTS bool cv::gpu::isCompatibleWith(int device)
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if (hasLessOrEqualPtxVersion(major, minor))
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return true;
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// Check CUBIN compatibilty
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// Check CUBIN compatibility
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for (int i = minor; i >= 0; --i)
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if (hasCubinVersion(major, i))
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return true;
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@ -277,7 +277,10 @@ void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, const Gp
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CV_Assert(src.channels() == 1);
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CV_Assert(mask.empty() || (mask.type() == CV_8U && src.size() == mask.size()));
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CV_Assert(src.type() != CV_64F || hasNativeDoubleSupport(getDevice()));
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bool double_ok = hasGreaterOrEqualVersion(1, 3) &&
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src.type() != CV_64F || double_ok);
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double minVal_; if (!minVal) minVal = &minVal_;
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double maxVal_; if (!maxVal) maxVal = &maxVal_;
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@ -373,7 +376,10 @@ void cv::gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal, Point
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CV_Assert(src.channels() == 1);
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CV_Assert(mask.empty() || (mask.type() == CV_8U && src.size() == mask.size()));
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CV_Assert(src.type() != CV_64F || hasNativeDoubleSupport(getDevice()));
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bool double_ok = hasGreaterOrEqualVersion(1, 3) &&
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src.type() != CV_64F || double_ok);
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double minVal_; if (!minVal) minVal = &minVal_;
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double maxVal_; if (!maxVal) maxVal = &maxVal_;
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@ -452,7 +458,10 @@ int cv::gpu::countNonZero(const GpuMat& src, GpuMat& buf)
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countNonZeroCaller<double> };
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CV_Assert(src.channels() == 1);
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CV_Assert(src.type() != CV_64F || hasNativeDoubleSupport(getDevice()));
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bool double_ok = hasGreaterOrEqualVersion(1, 3) &&
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src.type() != CV_64F || double_ok);
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Size buf_size;
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getBufSizeRequired(src.cols, src.rows, buf_size.width, buf_size.height);
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@ -73,6 +73,10 @@ namespace cv { namespace gpu { namespace split_merge
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CV_Assert(src);
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CV_Assert(n > 0);
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bool double_ok = hasGreaterOrEqualVersion(1, 3) &&
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src[0].depth() != CV_64F || double_ok);
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int depth = src[0].depth();
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Size size = src[0].size();
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@ -112,6 +116,10 @@ namespace cv { namespace gpu { namespace split_merge
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{
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CV_Assert(dst);
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bool double_ok = hasGreaterOrEqualVersion(1, 3) &&
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hasNativeDoubleSupport(getDevice());
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CV_Assert(src.depth() != CV_64F || double_ok);
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int depth = src.depth();
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int num_channels = src.channels();
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Size size = src.size();
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@ -659,11 +659,10 @@ struct CV_GpuMinMaxTest: public CvTest
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{
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try
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{
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int depth_end;
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if (cv::gpu::hasNativeDoubleSupport(cv::gpu::getDevice()))
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depth_end = CV_64F;
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else
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depth_end = CV_32F;
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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int depth_end = double_ok ? CV_64F : CV_32F;
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for (int depth = CV_8U; depth <= depth_end; ++depth)
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{
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for (int i = 0; i < 3; ++i)
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@ -794,11 +793,10 @@ struct CV_GpuMinMaxLocTest: public CvTest
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{
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try
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{
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int depth_end;
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if (cv::gpu::hasNativeDoubleSupport(cv::gpu::getDevice()))
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depth_end = CV_64F;
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else
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depth_end = CV_32F;
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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int depth_end = double_ok ? CV_64F : CV_32F;
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for (int depth = CV_8U; depth <= depth_end; ++depth)
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{
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int rows = 1, cols = 3;
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@ -58,7 +58,12 @@ struct CV_GpuBitwiseTest: public CvTest
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void run(int)
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{
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int rows, cols;
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for (int depth = CV_8U; depth <= CV_64F; ++depth)
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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int depth_end = double_ok ? CV_64F : CV_32F;
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for (int depth = CV_8U; depth <= CV_32F; ++depth)
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for (int cn = 1; cn <= 4; ++cn)
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for (int attempt = 0; attempt < 3; ++attempt)
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{
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@ -64,6 +64,16 @@ struct CV_GpuMatchTemplateTest: CvTest
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{
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try
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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if (!double_ok)
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{
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// For sqrIntegral
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ts->printf(CvTS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
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ts->set_failed_test_info(CvTS::FAIL_GENERIC);
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return;
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}
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Mat image, templ;
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Mat dst_gold;
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gpu::GpuMat dst;
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@ -234,6 +244,16 @@ struct CV_GpuMatchTemplateFindPatternInBlackTest: CvTest
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{
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try
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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if (!double_ok)
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{
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// For sqrIntegral
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ts->printf(CvTS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
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ts->set_failed_test_info(CvTS::FAIL_GENERIC);
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return;
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}
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Mat image = imread(std::string(ts->get_data_path()) + "matchtemplate/black.png");
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if (image.empty())
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{
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@ -63,8 +63,12 @@ struct CV_MergeTest : public CvTest
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void CV_MergeTest::can_merge(size_t rows, size_t cols)
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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size_t depth_end = double_ok ? CV_64F : CV_32F;
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth)
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for (size_t depth = CV_8U; depth <= depth_end; ++depth)
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{
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vector<Mat> src;
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for (size_t i = 0; i < num_channels; ++i)
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@ -101,8 +105,12 @@ void CV_MergeTest::can_merge(size_t rows, size_t cols)
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void CV_MergeTest::can_merge_submatrixes(size_t rows, size_t cols)
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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size_t depth_end = double_ok ? CV_64F : CV_32F;
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth)
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for (size_t depth = CV_8U; depth <= depth_end; ++depth)
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{
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vector<Mat> src;
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for (size_t i = 0; i < num_channels; ++i)
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@ -171,8 +179,12 @@ struct CV_SplitTest : public CvTest
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void CV_SplitTest::can_split(size_t rows, size_t cols)
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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size_t depth_end = double_ok ? CV_64F : CV_32F;
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth)
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for (size_t depth = CV_8U; depth <= depth_end; ++depth)
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{
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Mat src(rows, cols, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0));
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vector<Mat> dst;
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@ -209,8 +221,12 @@ void CV_SplitTest::can_split(size_t rows, size_t cols)
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void CV_SplitTest::can_split_submatrix(size_t rows, size_t cols)
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{
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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size_t depth_end = double_ok ? CV_64F : CV_32F;
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth)
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for (size_t depth = CV_8U; depth <= depth_end; ++depth)
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{
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Mat src_data(rows * 2, cols * 2, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0));
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Mat src(src_data(Range(rows / 2, rows / 2 + rows), Range(cols / 2, cols / 2 + cols)));
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@ -276,8 +292,12 @@ struct CV_SplitMergeTest : public CvTest
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};
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void CV_SplitMergeTest::can_split_merge(size_t rows, size_t cols) {
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bool double_ok = gpu::hasGreaterOrEqualVersion(1, 3) &&
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gpu::hasNativeDoubleSupport(gpu::getDevice());
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size_t depth_end = double_ok ? CV_64F : CV_32F;
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for (size_t num_channels = 1; num_channels <= 4; ++num_channels)
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for (size_t depth = CV_8U; depth <= CV_64F; ++depth)
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for (size_t depth = CV_8U; depth <= depth_end; ++depth)
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{
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Mat orig(rows, cols, CV_MAKETYPE(depth, num_channels), Scalar(1.0, 2.0, 3.0, 4.0));
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gpu::GpuMat dev_orig(orig);
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