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Open Source Computer Vision Library
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439 lines
12 KiB
439 lines
12 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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// 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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#ifdef HAVE_CUDA |
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namespace opencv_test { namespace { |
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//////////////////////////////////////////////////////////////////////////////// |
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// Merge |
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PARAM_TEST_CASE(Merge, cv::cuda::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int depth; |
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int channels; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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depth = GET_PARAM(2); |
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channels = GET_PARAM(3); |
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useRoi = GET_PARAM(4); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(Merge, Accuracy) |
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{ |
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std::vector<cv::Mat> src; |
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src.reserve(channels); |
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for (int i = 0; i < channels; ++i) |
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src.push_back(cv::Mat(size, depth, cv::Scalar::all(i))); |
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std::vector<cv::cuda::GpuMat> d_src; |
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for (int i = 0; i < channels; ++i) |
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d_src.push_back(loadMat(src[i], useRoi)); |
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if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::cuda::GpuMat dst; |
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cv::cuda::merge(d_src, dst); |
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} |
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catch (const cv::Exception& e) |
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{ |
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code); |
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} |
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} |
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else |
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{ |
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cv::cuda::GpuMat dst; |
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cv::cuda::merge(d_src, dst); |
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cv::Mat dst_gold; |
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cv::merge(src, dst_gold); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Merge, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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ALL_DEPTH, |
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testing::Values(1, 2, 3, 4), |
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WHOLE_SUBMAT)); |
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//////////////////////////////////////////////////////////////////////////////// |
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// Split |
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PARAM_TEST_CASE(Split, cv::cuda::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int depth; |
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int channels; |
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bool useRoi; |
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int type; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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depth = GET_PARAM(2); |
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channels = GET_PARAM(3); |
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useRoi = GET_PARAM(4); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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type = CV_MAKE_TYPE(depth, channels); |
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} |
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}; |
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CUDA_TEST_P(Split, Accuracy) |
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{ |
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cv::Mat src = randomMat(size, type); |
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if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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std::vector<cv::cuda::GpuMat> dst; |
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cv::cuda::split(loadMat(src), dst); |
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} |
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catch (const cv::Exception& e) |
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{ |
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code); |
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} |
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} |
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else |
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{ |
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std::vector<cv::cuda::GpuMat> dst; |
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cv::cuda::split(loadMat(src, useRoi), dst); |
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std::vector<cv::Mat> dst_gold; |
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cv::split(src, dst_gold); |
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ASSERT_EQ(dst_gold.size(), dst.size()); |
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for (size_t i = 0; i < dst_gold.size(); ++i) |
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{ |
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EXPECT_MAT_NEAR(dst_gold[i], dst[i], 0.0); |
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} |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Split, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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ALL_DEPTH, |
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testing::Values(1, 2, 3, 4), |
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WHOLE_SUBMAT)); |
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//////////////////////////////////////////////////////////////////////////////// |
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// Transpose |
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PARAM_TEST_CASE(Transpose, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int type; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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type = GET_PARAM(2); |
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useRoi = GET_PARAM(3); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(Transpose, Accuracy) |
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{ |
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cv::Mat src = randomMat(size, type); |
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if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE)) |
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{ |
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try |
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{ |
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cv::cuda::GpuMat dst; |
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cv::cuda::transpose(loadMat(src), dst); |
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} |
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catch (const cv::Exception& e) |
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{ |
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ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code); |
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} |
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} |
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else |
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{ |
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cv::cuda::GpuMat dst = createMat(cv::Size(size.height, size.width), type, useRoi); |
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cv::cuda::transpose(loadMat(src, useRoi), dst); |
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cv::Mat dst_gold; |
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cv::transpose(src, dst_gold); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Transpose, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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testing::Values(MatType(CV_8UC1), |
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MatType(CV_8UC4), |
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MatType(CV_16UC2), |
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MatType(CV_16SC2), |
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MatType(CV_32SC1), |
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MatType(CV_32SC2), |
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MatType(CV_64FC1)), |
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WHOLE_SUBMAT)); |
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//////////////////////////////////////////////////////////////////////////////// |
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// Flip |
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enum {FLIP_BOTH = 0, FLIP_X = 1, FLIP_Y = -1}; |
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CV_ENUM(FlipCode, FLIP_BOTH, FLIP_X, FLIP_Y) |
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#define ALL_FLIP_CODES testing::Values(FlipCode(FLIP_BOTH), FlipCode(FLIP_X), FlipCode(FLIP_Y)) |
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PARAM_TEST_CASE(Flip, cv::cuda::DeviceInfo, cv::Size, MatType, FlipCode, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int type; |
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int flip_code; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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type = GET_PARAM(2); |
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flip_code = GET_PARAM(3); |
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useRoi = GET_PARAM(4); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(Flip, Accuracy) |
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{ |
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cv::Mat src = randomMat(size, type); |
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cv::cuda::GpuMat dst = createMat(size, type, useRoi); |
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cv::cuda::flip(loadMat(src, useRoi), dst, flip_code); |
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cv::Mat dst_gold; |
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cv::flip(src, dst_gold, flip_code); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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CUDA_TEST_P(Flip, AccuracyInplace) |
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{ |
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cv::Mat src = randomMat(size, type); |
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bool isSizeOdd = ((size.width & 1) == 1) || ((size.height & 1) == 1); |
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cv::cuda::GpuMat srcDst = loadMat(src, useRoi); |
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if(isSizeOdd) |
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{ |
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EXPECT_THROW(cv::cuda::flip(srcDst, srcDst, flip_code), cv::Exception); |
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return; |
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} |
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cv::cuda::flip(srcDst, srcDst, flip_code); |
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cv::Mat dst_gold; |
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cv::flip(src, dst_gold, flip_code); |
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EXPECT_MAT_NEAR(dst_gold, srcDst, 0.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Flip, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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testing::Values(MatType(CV_8UC1), |
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MatType(CV_8UC3), |
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MatType(CV_8UC4), |
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MatType(CV_16UC1), |
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MatType(CV_16UC3), |
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MatType(CV_16UC4), |
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MatType(CV_32SC1), |
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MatType(CV_32SC3), |
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MatType(CV_32SC4), |
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MatType(CV_32FC1), |
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MatType(CV_32FC3), |
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MatType(CV_32FC4)), |
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ALL_FLIP_CODES, |
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WHOLE_SUBMAT)); |
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//////////////////////////////////////////////////////////////////////////////// |
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// LUT |
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PARAM_TEST_CASE(LUT, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int type; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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type = GET_PARAM(2); |
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useRoi = GET_PARAM(3); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(LUT, OneChannel) |
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{ |
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cv::Mat src = randomMat(size, type); |
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cv::Mat lut = randomMat(cv::Size(256, 1), CV_8UC1); |
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cv::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut); |
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cv::cuda::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels())); |
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lutAlg->transform(loadMat(src, useRoi), dst); |
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cv::Mat dst_gold; |
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cv::LUT(src, lut, dst_gold); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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CUDA_TEST_P(LUT, MultiChannel) |
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{ |
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cv::Mat src = randomMat(size, type); |
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cv::Mat lut = randomMat(cv::Size(256, 1), CV_MAKE_TYPE(CV_8U, src.channels())); |
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cv::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut); |
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cv::cuda::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels()), useRoi); |
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lutAlg->transform(loadMat(src, useRoi), dst); |
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cv::Mat dst_gold; |
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cv::LUT(src, lut, dst_gold); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, LUT, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3)), |
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WHOLE_SUBMAT)); |
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////////////////////////////////////////////////////////////////////////////// |
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// CopyMakeBorder |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(Border, int) |
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} |
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PARAM_TEST_CASE(CopyMakeBorder, cv::cuda::DeviceInfo, cv::Size, MatType, Border, BorderType, UseRoi) |
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{ |
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cv::cuda::DeviceInfo devInfo; |
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cv::Size size; |
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int type; |
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int border; |
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int borderType; |
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bool useRoi; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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size = GET_PARAM(1); |
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type = GET_PARAM(2); |
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border = GET_PARAM(3); |
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borderType = GET_PARAM(4); |
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useRoi = GET_PARAM(5); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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} |
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}; |
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CUDA_TEST_P(CopyMakeBorder, Accuracy) |
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{ |
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cv::Mat src = randomMat(size, type); |
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cv::Scalar val = randomScalar(0, 255); |
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cv::cuda::GpuMat dst = createMat(cv::Size(size.width + 2 * border, size.height + 2 * border), type, useRoi); |
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cv::cuda::copyMakeBorder(loadMat(src, useRoi), dst, border, border, border, border, borderType, val); |
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cv::Mat dst_gold; |
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cv::copyMakeBorder(src, dst_gold, border, border, border, border, borderType, val); |
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EXPECT_MAT_NEAR(dst_gold, dst, 0.0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Arithm, CopyMakeBorder, testing::Combine( |
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ALL_DEVICES, |
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DIFFERENT_SIZES, |
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testing::Values(MatType(CV_8UC1), |
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MatType(CV_8UC3), |
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MatType(CV_8UC4), |
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MatType(CV_16UC1), |
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MatType(CV_16UC3), |
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MatType(CV_16UC4), |
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MatType(CV_32FC1), |
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MatType(CV_32FC3), |
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MatType(CV_32FC4)), |
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testing::Values(Border(1), Border(10), Border(50)), |
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ALL_BORDER_TYPES, |
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WHOLE_SUBMAT)); |
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}} // namespace |
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#endif // HAVE_CUDA
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