gpuimgproc module fixes
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145
modules/gpuimgproc/test/test_corners.cpp
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145
modules/gpuimgproc/test/test_corners.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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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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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
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using namespace cvtest;
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// CornerHarris
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namespace
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{
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IMPLEMENT_PARAM_CLASS(BlockSize, int);
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IMPLEMENT_PARAM_CLASS(ApertureSize, int);
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}
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PARAM_TEST_CASE(CornerHarris, cv::gpu::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize)
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{
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cv::gpu::DeviceInfo devInfo;
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int type;
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int borderType;
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int blockSize;
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int apertureSize;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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type = GET_PARAM(1);
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borderType = GET_PARAM(2);
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blockSize = GET_PARAM(3);
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apertureSize = GET_PARAM(4);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(CornerHarris, Accuracy)
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{
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cv::Mat src = readImageType("stereobm/aloe-L.png", type);
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ASSERT_FALSE(src.empty());
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double k = randomDouble(0.1, 0.9);
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cv::gpu::GpuMat dst;
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cv::gpu::cornerHarris(loadMat(src), dst, blockSize, apertureSize, k, borderType);
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cv::Mat dst_gold;
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cv::cornerHarris(src, dst_gold, blockSize, apertureSize, k, borderType);
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EXPECT_MAT_NEAR(dst_gold, dst, 0.02);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, CornerHarris, testing::Combine(
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ALL_DEVICES,
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testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)),
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testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)),
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testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)),
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testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7))));
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// cornerMinEigen
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PARAM_TEST_CASE(CornerMinEigen, cv::gpu::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize)
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{
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cv::gpu::DeviceInfo devInfo;
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int type;
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int borderType;
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int blockSize;
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int apertureSize;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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type = GET_PARAM(1);
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borderType = GET_PARAM(2);
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blockSize = GET_PARAM(3);
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apertureSize = GET_PARAM(4);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(CornerMinEigen, Accuracy)
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{
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cv::Mat src = readImageType("stereobm/aloe-L.png", type);
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ASSERT_FALSE(src.empty());
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cv::gpu::GpuMat dst;
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cv::gpu::cornerMinEigenVal(loadMat(src), dst, blockSize, apertureSize, borderType);
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cv::Mat dst_gold;
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cv::cornerMinEigenVal(src, dst_gold, blockSize, apertureSize, borderType);
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EXPECT_MAT_NEAR(dst_gold, dst, 0.02);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, CornerMinEigen, testing::Combine(
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ALL_DEVICES,
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testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)),
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testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)),
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testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)),
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testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7))));
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#endif // HAVE_CUDA
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