2492 lines
66 KiB
C++
2492 lines
66 KiB
C++
/*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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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 "precomp.hpp"
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////////////////////////////////////////////////////////////////////////////////
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// Add_Array
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PARAM_TEST_CASE(Add_Array, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, int, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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int channels;
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bool useRoi;
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int stype;
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int dtype;
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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::gpu::setDevice(devInfo.deviceID());
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stype = CV_MAKE_TYPE(depth.first, channels);
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dtype = CV_MAKE_TYPE(depth.second, channels);
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}
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};
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TEST_P(Add_Array, Accuracy)
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{
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cv::Mat mat1 = randomMat(size, stype);
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cv::Mat mat2 = randomMat(size, stype);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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cv::gpu::GpuMat dst = createMat(size, dtype, useRoi);
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dst.setTo(cv::Scalar::all(0));
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cv::gpu::add(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, channels == 1 ? loadMat(mask, useRoi) : cv::gpu::GpuMat(), depth.second);
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cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
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cv::add(mat1, mat2, dst_gold, channels == 1 ? mask : cv::noArray(), depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Add_Array, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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testing::Values(1, 2, 3, 4),
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Add_Scalar
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PARAM_TEST_CASE(Add_Scalar, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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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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useRoi = GET_PARAM(3);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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TEST_P(Add_Scalar, Accuracy)
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{
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cv::Mat mat = randomMat(size, depth.first);
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cv::Scalar val = randomScalar(0, 255);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
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dst.setTo(cv::Scalar::all(0));
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cv::gpu::add(loadMat(mat, useRoi), val, dst, loadMat(mask, useRoi), depth.second);
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cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
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cv::add(mat, val, dst_gold, mask, depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Add_Scalar, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Subtract_Array
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PARAM_TEST_CASE(Subtract_Array, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, int, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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int channels;
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bool useRoi;
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int stype;
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int dtype;
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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::gpu::setDevice(devInfo.deviceID());
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stype = CV_MAKE_TYPE(depth.first, channels);
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dtype = CV_MAKE_TYPE(depth.second, channels);
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}
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};
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TEST_P(Subtract_Array, Accuracy)
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{
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cv::Mat mat1 = randomMat(size, stype);
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cv::Mat mat2 = randomMat(size, stype);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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cv::gpu::GpuMat dst = createMat(size, dtype, useRoi);
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dst.setTo(cv::Scalar::all(0));
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cv::gpu::subtract(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, channels == 1 ? loadMat(mask, useRoi) : cv::gpu::GpuMat(), depth.second);
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cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
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cv::subtract(mat1, mat2, dst_gold, channels == 1 ? mask : cv::noArray(), depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Subtract_Array, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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testing::Values(1, 2, 3, 4),
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Subtract_Scalar
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PARAM_TEST_CASE(Subtract_Scalar, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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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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useRoi = GET_PARAM(3);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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TEST_P(Subtract_Scalar, Accuracy)
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{
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cv::Mat mat = randomMat(size, depth.first);
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cv::Scalar val = randomScalar(0, 255);
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cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
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cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
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dst.setTo(cv::Scalar::all(0));
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cv::gpu::subtract(loadMat(mat, useRoi), val, dst, loadMat(mask, useRoi), depth.second);
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cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
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cv::subtract(mat, val, dst_gold, mask, depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Subtract_Scalar, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Multiply_Array
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PARAM_TEST_CASE(Multiply_Array, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, int, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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int channels;
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bool useRoi;
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int stype;
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int dtype;
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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::gpu::setDevice(devInfo.deviceID());
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stype = CV_MAKE_TYPE(depth.first, channels);
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dtype = CV_MAKE_TYPE(depth.second, channels);
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}
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};
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TEST_P(Multiply_Array, Accuracy)
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{
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cv::Mat mat1 = randomMat(size, stype);
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cv::Mat mat2 = randomMat(size, stype);
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double scale = randomDouble(0.0, 255.0);
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cv::gpu::GpuMat dst = createMat(size, dtype, useRoi);
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cv::gpu::multiply(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, scale, depth.second);
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cv::Mat dst_gold;
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cv::multiply(mat1, mat2, dst_gold, scale, depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Multiply_Array, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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testing::Values(1, 2, 3, 4),
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Multiply_Array_Special
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PARAM_TEST_CASE(Multiply_Array_Special, cv::gpu::DeviceInfo, cv::Size, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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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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useRoi = GET_PARAM(2);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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TEST_P(Multiply_Array_Special, Case_8UC4x_32FC1)
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{
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cv::Mat mat1 = randomMat(size, CV_8UC4);
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cv::Mat mat2 = randomMat(size, CV_32FC1);
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cv::gpu::GpuMat dst = createMat(size, CV_8UC4, useRoi);
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cv::gpu::multiply(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst);
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cv::Mat h_dst(dst);
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for (int y = 0; y < h_dst.rows; ++y)
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{
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const cv::Vec4b* mat1_row = mat1.ptr<cv::Vec4b>(y);
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const float* mat2_row = mat2.ptr<float>(y);
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const cv::Vec4b* dst_row = h_dst.ptr<cv::Vec4b>(y);
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for (int x = 0; x < h_dst.cols; ++x)
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{
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cv::Vec4b val1 = mat1_row[x];
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float val2 = mat2_row[x];
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cv::Vec4b actual = dst_row[x];
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cv::Vec4b gold;
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gold[0] = cv::saturate_cast<uchar>(val1[0] * val2);
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gold[1] = cv::saturate_cast<uchar>(val1[1] * val2);
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gold[2] = cv::saturate_cast<uchar>(val1[2] * val2);
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gold[3] = cv::saturate_cast<uchar>(val1[3] * val2);
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ASSERT_LE(std::abs(gold[0] - actual[0]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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}
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}
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}
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TEST_P(Multiply_Array_Special, Case_16SC4x_32FC1)
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{
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cv::Mat mat1 = randomMat(size, CV_16SC4);
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cv::Mat mat2 = randomMat(size, CV_32FC1);
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cv::gpu::GpuMat dst = createMat(size, CV_16SC4, useRoi);
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cv::gpu::multiply(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst);
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cv::Mat h_dst(dst);
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for (int y = 0; y < h_dst.rows; ++y)
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{
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const cv::Vec4s* mat1_row = mat1.ptr<cv::Vec4s>(y);
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const float* mat2_row = mat2.ptr<float>(y);
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const cv::Vec4s* dst_row = h_dst.ptr<cv::Vec4s>(y);
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for (int x = 0; x < h_dst.cols; ++x)
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{
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cv::Vec4s val1 = mat1_row[x];
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float val2 = mat2_row[x];
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cv::Vec4s actual = dst_row[x];
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cv::Vec4s gold;
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gold[0] = cv::saturate_cast<short>(val1[0] * val2);
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gold[1] = cv::saturate_cast<short>(val1[1] * val2);
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gold[2] = cv::saturate_cast<short>(val1[2] * val2);
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gold[3] = cv::saturate_cast<short>(val1[3] * val2);
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ASSERT_LE(std::abs(gold[0] - actual[0]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
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}
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}
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Multiply_Array_Special, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Multiply_Scalar
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PARAM_TEST_CASE(Multiply_Scalar, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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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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useRoi = GET_PARAM(3);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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TEST_P(Multiply_Scalar, Accuracy)
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{
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cv::Mat mat = randomMat(size, depth.first);
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cv::Scalar val = randomScalar(0, 255);
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double scale = randomDouble(0.0, 255.0);
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cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
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cv::gpu::multiply(loadMat(mat, useRoi), val, dst, scale, depth.second);
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cv::Mat dst_gold;
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cv::multiply(mat, val, dst_gold, scale, depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Multiply_Scalar, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Divide_Array
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PARAM_TEST_CASE(Divide_Array, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, int, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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std::pair<MatType, MatType> depth;
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int channels;
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bool useRoi;
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int stype;
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int dtype;
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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::gpu::setDevice(devInfo.deviceID());
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stype = CV_MAKE_TYPE(depth.first, channels);
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dtype = CV_MAKE_TYPE(depth.second, channels);
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}
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};
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TEST_P(Divide_Array, Accuracy)
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{
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cv::Mat mat1 = randomMat(size, stype);
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cv::Mat mat2 = randomMat(size, stype, 1.0, 255.0);
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double scale = randomDouble(0.0, 255.0);
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cv::gpu::GpuMat dst = createMat(size, dtype, useRoi);
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cv::gpu::divide(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, scale, depth.second);
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cv::Mat dst_gold;
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cv::divide(mat1, mat2, dst_gold, scale, depth.second);
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EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_Core, Divide_Array, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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DEPTH_PAIRS,
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testing::Values(1, 2, 3, 4),
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WHOLE_SUBMAT));
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////////////////////////////////////////////////////////////////////////////////
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// Divide_Array_Special
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PARAM_TEST_CASE(Divide_Array_Special, cv::gpu::DeviceInfo, cv::Size, UseRoi)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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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);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Divide_Array_Special, Case_8UC4x_32FC1)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, CV_8UC4);
|
|
cv::Mat mat2 = randomMat(size, CV_32FC1, 1.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_8UC4, useRoi);
|
|
cv::gpu::divide(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst);
|
|
|
|
cv::Mat h_dst(dst);
|
|
|
|
for (int y = 0; y < h_dst.rows; ++y)
|
|
{
|
|
const cv::Vec4b* mat1_row = mat1.ptr<cv::Vec4b>(y);
|
|
const float* mat2_row = mat2.ptr<float>(y);
|
|
const cv::Vec4b* dst_row = h_dst.ptr<cv::Vec4b>(y);
|
|
|
|
for (int x = 0; x < h_dst.cols; ++x)
|
|
{
|
|
cv::Vec4b val1 = mat1_row[x];
|
|
float val2 = mat2_row[x];
|
|
cv::Vec4b actual = dst_row[x];
|
|
|
|
cv::Vec4b gold;
|
|
|
|
gold[0] = cv::saturate_cast<uchar>(val1[0] / val2);
|
|
gold[1] = cv::saturate_cast<uchar>(val1[1] / val2);
|
|
gold[2] = cv::saturate_cast<uchar>(val1[2] / val2);
|
|
gold[3] = cv::saturate_cast<uchar>(val1[3] / val2);
|
|
|
|
ASSERT_LE(std::abs(gold[0] - actual[0]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
}
|
|
}
|
|
}
|
|
|
|
TEST_P(Divide_Array_Special, Case_16SC4x_32FC1)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, CV_16SC4);
|
|
cv::Mat mat2 = randomMat(size, CV_32FC1, 1.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_16SC4, useRoi);
|
|
cv::gpu::divide(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst);
|
|
|
|
cv::Mat h_dst(dst);
|
|
|
|
for (int y = 0; y < h_dst.rows; ++y)
|
|
{
|
|
const cv::Vec4s* mat1_row = mat1.ptr<cv::Vec4s>(y);
|
|
const float* mat2_row = mat2.ptr<float>(y);
|
|
const cv::Vec4s* dst_row = h_dst.ptr<cv::Vec4s>(y);
|
|
|
|
for (int x = 0; x < h_dst.cols; ++x)
|
|
{
|
|
cv::Vec4s val1 = mat1_row[x];
|
|
float val2 = mat2_row[x];
|
|
cv::Vec4s actual = dst_row[x];
|
|
|
|
cv::Vec4s gold;
|
|
|
|
gold[0] = cv::saturate_cast<short>(val1[0] / val2);
|
|
gold[1] = cv::saturate_cast<short>(val1[1] / val2);
|
|
gold[2] = cv::saturate_cast<short>(val1[2] / val2);
|
|
gold[3] = cv::saturate_cast<short>(val1[3] / val2);
|
|
|
|
ASSERT_LE(std::abs(gold[0] - actual[0]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
ASSERT_LE(std::abs(gold[1] - actual[1]), 1.0);
|
|
}
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Divide_Array_Special, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Scalar
|
|
|
|
PARAM_TEST_CASE(Divide_Scalar, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatType, MatType> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Divide_Scalar, Accuracy)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(1.0, 255.0);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::gpu::divide(loadMat(mat, useRoi), val, dst, scale, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::divide(mat, val, dst_gold, scale, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Divide_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Scalar_Inv
|
|
|
|
PARAM_TEST_CASE(Divide_Scalar_Inv, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatType, MatType> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Divide_Scalar_Inv, Accuracy)
|
|
{
|
|
double scale = randomDouble(0.0, 255.0);
|
|
cv::Mat mat = randomMat(size, depth.first, 1.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::gpu::divide(scale, loadMat(mat, useRoi), dst, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::divide(scale, mat, dst_gold, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Divide_Scalar_Inv, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// AbsDiff
|
|
|
|
PARAM_TEST_CASE(AbsDiff, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(AbsDiff, Array)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::gpu::absdiff(loadMat(src1, useRoi), loadMat(src2, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::absdiff(src1, src2, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(AbsDiff, Scalar)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
cv::Scalar val = randomScalar(0.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::gpu::absdiff(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::absdiff(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth <= CV_32F ? 1.0 : 1e-5);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, AbsDiff, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Abs
|
|
|
|
PARAM_TEST_CASE(Abs, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Abs, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::abs(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::abs(src);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Abs, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_16SC1), MatType(CV_32FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Sqr
|
|
|
|
PARAM_TEST_CASE(Sqr, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Sqr, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::sqr(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(src, src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Sqr, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1),
|
|
MatType(CV_16UC1),
|
|
MatType(CV_16SC1),
|
|
MatType(CV_32FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Sqrt
|
|
|
|
namespace
|
|
{
|
|
template <typename T> void sqrtImpl(const cv::Mat& src, cv::Mat& dst)
|
|
{
|
|
dst.create(src.size(), src.type());
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
dst.at<T>(y, x) = static_cast<T>(std::sqrt(static_cast<float>(src.at<T>(y, x))));
|
|
}
|
|
}
|
|
|
|
void sqrtGold(const cv::Mat& src, cv::Mat& dst)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Mat& dst);
|
|
|
|
const func_t funcs[] =
|
|
{
|
|
sqrtImpl<uchar>, sqrtImpl<schar>, sqrtImpl<ushort>, sqrtImpl<short>,
|
|
sqrtImpl<int>, sqrtImpl<float>
|
|
};
|
|
|
|
funcs[src.depth()](src, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Sqrt, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Sqrt, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::sqrt(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
sqrtGold(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Sqrt, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1),
|
|
MatType(CV_16UC1),
|
|
MatType(CV_16SC1),
|
|
MatType(CV_32FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Log
|
|
|
|
namespace
|
|
{
|
|
template <typename T> void logImpl(const cv::Mat& src, cv::Mat& dst)
|
|
{
|
|
dst.create(src.size(), src.type());
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
dst.at<T>(y, x) = static_cast<T>(std::log(static_cast<float>(src.at<T>(y, x))));
|
|
}
|
|
}
|
|
|
|
void logGold(const cv::Mat& src, cv::Mat& dst)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Mat& dst);
|
|
|
|
const func_t funcs[] =
|
|
{
|
|
logImpl<uchar>, logImpl<schar>, logImpl<ushort>, logImpl<short>,
|
|
logImpl<int>, logImpl<float>
|
|
};
|
|
|
|
funcs[src.depth()](src, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Log, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Log, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type, 1.0, 255.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::log(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
logGold(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-6);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Log, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1),
|
|
MatType(CV_16UC1),
|
|
MatType(CV_16SC1),
|
|
MatType(CV_32FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Exp
|
|
|
|
PARAM_TEST_CASE(Exp, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Exp, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type, 0.0, 10.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::exp(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::exp(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-2);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Exp, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_32FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// compare
|
|
|
|
PARAM_TEST_CASE(Compare, cv::gpu::DeviceInfo, cv::Size, MatDepth, CmpCode, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int cmp_code;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
cmp_code = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Compare, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_8UC1, useRoi);
|
|
cv::gpu::compare(loadMat(src1, useRoi), loadMat(src2, useRoi), dst, cmp_code);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::compare(src1, src2, dst_gold, cmp_code);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Compare, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
ALL_CMP_CODES,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Bitwise_Array
|
|
|
|
PARAM_TEST_CASE(Bitwise_Array, cv::gpu::DeviceInfo, cv::Size, MatType)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
|
|
cv::Mat src1;
|
|
cv::Mat src2;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
src1 = randomMat(size, type, 0.0, std::numeric_limits<int>::max());
|
|
src2 = randomMat(size, type, 0.0, std::numeric_limits<int>::max());
|
|
}
|
|
};
|
|
|
|
TEST_P(Bitwise_Array, Not)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_not(loadMat(src1), dst);
|
|
|
|
cv::Mat dst_gold = ~src1;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(Bitwise_Array, Or)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_or(loadMat(src1), loadMat(src2), dst);
|
|
|
|
cv::Mat dst_gold = src1 | src2;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(Bitwise_Array, And)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_and(loadMat(src1), loadMat(src2), dst);
|
|
|
|
cv::Mat dst_gold = src1 & src2;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(Bitwise_Array, Xor)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_xor(loadMat(src1), loadMat(src2), dst);
|
|
|
|
cv::Mat dst_gold = src1 ^ src2;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Bitwise_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
TYPES(CV_8U, CV_32S, 1, 4)));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Bitwise_Scalar
|
|
|
|
PARAM_TEST_CASE(Bitwise_Scalar, cv::gpu::DeviceInfo, cv::Size, MatDepth, int)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int channels;
|
|
|
|
cv::Mat src;
|
|
cv::Scalar val;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
src = randomMat(size, CV_MAKE_TYPE(depth, channels));
|
|
cv::Scalar_<int> ival = randomScalar(0.0, 255.0);
|
|
val = ival;
|
|
}
|
|
};
|
|
|
|
TEST_P(Bitwise_Scalar, Or)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_or(loadMat(src), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::bitwise_or(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(Bitwise_Scalar, And)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_and(loadMat(src), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::bitwise_and(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(Bitwise_Scalar, Xor)
|
|
{
|
|
cv::gpu::GpuMat dst;
|
|
cv::gpu::bitwise_xor(loadMat(src), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::bitwise_xor(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Bitwise_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32S)),
|
|
testing::Values(1, 3, 4)));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// RShift
|
|
|
|
namespace
|
|
{
|
|
template <typename T> void rhiftImpl(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst)
|
|
{
|
|
const int cn = src.channels();
|
|
|
|
dst.create(src.size(), src.type());
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
for (int c = 0; c < cn; ++c)
|
|
dst.at<T>(y, x * cn + c) = src.at<T>(y, x * cn + c) >> val.val[c];
|
|
}
|
|
}
|
|
}
|
|
|
|
void rhiftGold(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst);
|
|
|
|
const func_t funcs[] =
|
|
{
|
|
rhiftImpl<uchar>, rhiftImpl<schar>, rhiftImpl<ushort>, rhiftImpl<short>, rhiftImpl<int>
|
|
};
|
|
|
|
funcs[src.depth()](src, val, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(RShift, cv::gpu::DeviceInfo, cv::Size, MatDepth, int, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(RShift, Accuracy)
|
|
{
|
|
int type = CV_MAKE_TYPE(depth, channels);
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Scalar_<int> val = randomScalar(0.0, 8.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::rshift(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
rhiftGold(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, RShift, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_8S),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32S)),
|
|
testing::Values(1, 3, 4),
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// LShift
|
|
|
|
namespace
|
|
{
|
|
template <typename T> void lhiftImpl(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst)
|
|
{
|
|
const int cn = src.channels();
|
|
|
|
dst.create(src.size(), src.type());
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
for (int c = 0; c < cn; ++c)
|
|
dst.at<T>(y, x * cn + c) = src.at<T>(y, x * cn + c) << val.val[c];
|
|
}
|
|
}
|
|
}
|
|
|
|
void lhiftGold(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Scalar_<int> val, cv::Mat& dst);
|
|
|
|
const func_t funcs[] =
|
|
{
|
|
lhiftImpl<uchar>, lhiftImpl<schar>, lhiftImpl<ushort>, lhiftImpl<short>, lhiftImpl<int>
|
|
};
|
|
|
|
funcs[src.depth()](src, val, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(LShift, cv::gpu::DeviceInfo, cv::Size, MatDepth, int, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(LShift, Accuracy)
|
|
{
|
|
int type = CV_MAKE_TYPE(depth, channels);
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Scalar_<int> val = randomScalar(0.0, 8.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::rshift(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
rhiftGold(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, LShift, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32S)),
|
|
testing::Values(1, 3, 4),
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Min
|
|
|
|
PARAM_TEST_CASE(Min, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Min, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::gpu::min(loadMat(src1, useRoi), loadMat(src2, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::min(src1, src2);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Min, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Max
|
|
|
|
PARAM_TEST_CASE(Max, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Max, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::gpu::max(loadMat(src1, useRoi), loadMat(src2, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::max(src1, src2);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Max, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Pow
|
|
|
|
PARAM_TEST_CASE(Pow, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Pow, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth, 0.0, 100.0);
|
|
double power = randomDouble(2.0, 4.0);
|
|
|
|
if (src.depth() < CV_32F)
|
|
power = static_cast<int>(power);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::gpu::pow(loadMat(src, useRoi), power, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::pow(src, power, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 0.0 : 1e-6);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Pow, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// AddWeighted
|
|
|
|
PARAM_TEST_CASE(AddWeighted, cv::gpu::DeviceInfo, cv::Size, MatDepth, MatDepth, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth1;
|
|
int depth2;
|
|
int dst_depth;
|
|
bool useRoi;
|
|
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth1 = GET_PARAM(2);
|
|
depth2 = GET_PARAM(3);
|
|
dst_depth = GET_PARAM(4);
|
|
useRoi = GET_PARAM(5);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(AddWeighted, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth1);
|
|
cv::Mat src2 = randomMat(size, depth2);
|
|
double alpha = randomDouble(-10.0, 10.0);
|
|
double beta = randomDouble(-10.0, 10.0);
|
|
double gamma = randomDouble(-10.0, 10.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, dst_depth, useRoi);
|
|
cv::gpu::addWeighted(loadMat(src1, useRoi), alpha, loadMat(src2, useRoi), beta, gamma, dst, dst_depth);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::addWeighted(src1, alpha, src2, beta, gamma, dst_gold, dst_depth);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, dst_depth < CV_32F ? 1.0 : 1e-12);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, AddWeighted, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
ALL_DEPTH,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// GEMM
|
|
|
|
PARAM_TEST_CASE(GEMM, cv::gpu::DeviceInfo, cv::Size, MatType, GemmFlags, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
int flags;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
flags = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(GEMM, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, type, -10.0, 10.0);
|
|
cv::Mat src2 = randomMat(size, type, -10.0, 10.0);
|
|
cv::Mat src3 = randomMat(size, type, -10.0, 10.0);
|
|
double alpha = randomDouble(-10.0, 10.0);
|
|
double beta = randomDouble(-10.0, 10.0);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::gemm(loadMat(src1, useRoi), loadMat(src2, useRoi), alpha, loadMat(src3, useRoi), beta, dst, flags);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::gemm(src1, src2, alpha, src3, beta, dst_gold, flags);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, CV_MAT_DEPTH(type) == CV_32F ? 1e-1 : 1e-10);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, GEMM, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_32FC1), MatType(CV_32FC2), MatType(CV_64FC1), MatType(CV_64FC2)),
|
|
ALL_GEMM_FLAGS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Transpose
|
|
|
|
PARAM_TEST_CASE(Transpose, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Transpose, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(cv::Size(size.height, size.width), type, useRoi);
|
|
cv::gpu::transpose(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::transpose(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Transpose, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1),
|
|
MatType(CV_8UC4),
|
|
MatType(CV_16UC2),
|
|
MatType(CV_16SC2),
|
|
MatType(CV_32SC1),
|
|
MatType(CV_32SC2),
|
|
MatType(CV_64FC1)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Flip
|
|
|
|
PARAM_TEST_CASE(Flip, cv::gpu::DeviceInfo, cv::Size, MatType, FlipCode, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
int flip_code;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
flip_code = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Flip, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::gpu::flip(loadMat(src, useRoi), dst, flip_code);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::flip(src, dst_gold, flip_code);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Flip, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1),
|
|
MatType(CV_8UC3),
|
|
MatType(CV_8UC4),
|
|
MatType(CV_16UC1),
|
|
MatType(CV_16UC3),
|
|
MatType(CV_16UC4),
|
|
MatType(CV_32SC1),
|
|
MatType(CV_32SC3),
|
|
MatType(CV_32SC4),
|
|
MatType(CV_32FC1),
|
|
MatType(CV_32FC3),
|
|
MatType(CV_32FC4)),
|
|
ALL_FLIP_CODES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// LUT
|
|
|
|
PARAM_TEST_CASE(LUT, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(LUT, OneChannel)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Mat lut = randomMat(cv::Size(256, 1), CV_8UC1);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels()));
|
|
cv::gpu::LUT(loadMat(src, useRoi), lut, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::LUT(src, lut, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
TEST_P(LUT, MultiChannel)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Mat lut = randomMat(cv::Size(256, 1), CV_MAKE_TYPE(CV_8U, src.channels()));
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels()), useRoi);
|
|
cv::gpu::LUT(loadMat(src, useRoi), lut, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::LUT(src, lut, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, LUT, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Magnitude
|
|
|
|
PARAM_TEST_CASE(Magnitude, cv::gpu::DeviceInfo, cv::Size, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Magnitude, NPP)
|
|
{
|
|
cv::Mat src = randomMat(size, CV_32FC2);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::magnitude(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat arr[2];
|
|
cv::split(src, arr);
|
|
cv::Mat dst_gold;
|
|
cv::magnitude(arr[0], arr[1], dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-4);
|
|
}
|
|
|
|
TEST_P(Magnitude, Sqr_NPP)
|
|
{
|
|
cv::Mat src = randomMat(size, CV_32FC2);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::magnitudeSqr(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat arr[2];
|
|
cv::split(src, arr);
|
|
cv::Mat dst_gold;
|
|
cv::magnitude(arr[0], arr[1], dst_gold);
|
|
cv::multiply(dst_gold, dst_gold, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-1);
|
|
}
|
|
|
|
TEST_P(Magnitude, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::magnitude(loadMat(x, useRoi), loadMat(y, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::magnitude(x, y, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-4);
|
|
}
|
|
|
|
TEST_P(Magnitude, Sqr_Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::magnitudeSqr(loadMat(x, useRoi), loadMat(y, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::magnitude(x, y, dst_gold);
|
|
cv::multiply(dst_gold, dst_gold, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1e-1);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Magnitude, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Phase
|
|
|
|
PARAM_TEST_CASE(Phase, cv::gpu::DeviceInfo, cv::Size, bool, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool angleInDegrees;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
angleInDegrees = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Phase, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::gpu::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::phase(loadMat(x, useRoi), loadMat(y, useRoi), dst, angleInDegrees);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::phase(x, y, dst_gold, angleInDegrees);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, angleInDegrees ? 1e-2 : 1e-3);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Phase, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Bool(),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// CartToPolar
|
|
|
|
PARAM_TEST_CASE(CartToPolar, cv::gpu::DeviceInfo, cv::Size, bool, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool angleInDegrees;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
angleInDegrees = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(CartToPolar, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::gpu::GpuMat mag = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::GpuMat angle = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::cartToPolar(loadMat(x, useRoi), loadMat(y, useRoi), mag, angle, angleInDegrees);
|
|
|
|
cv::Mat mag_gold;
|
|
cv::Mat angle_gold;
|
|
cv::cartToPolar(x, y, mag_gold, angle_gold, angleInDegrees);
|
|
|
|
EXPECT_MAT_NEAR(mag_gold, mag, 1e-4);
|
|
EXPECT_MAT_NEAR(angle_gold, angle, angleInDegrees ? 1e-2 : 1e-3);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, CartToPolar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Bool(),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// polarToCart
|
|
|
|
PARAM_TEST_CASE(PolarToCart, cv::gpu::DeviceInfo, cv::Size, bool, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool angleInDegrees;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
angleInDegrees = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(PolarToCart, Accuracy)
|
|
{
|
|
cv::Mat magnitude = randomMat(size, CV_32FC1);
|
|
cv::Mat angle = randomMat(size, CV_32FC1);
|
|
|
|
cv::gpu::GpuMat x = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::GpuMat y = createMat(size, CV_32FC1, useRoi);
|
|
cv::gpu::polarToCart(loadMat(magnitude, useRoi), loadMat(angle, useRoi), x, y, angleInDegrees);
|
|
|
|
cv::Mat x_gold;
|
|
cv::Mat y_gold;
|
|
cv::polarToCart(magnitude, angle, x_gold, y_gold, angleInDegrees);
|
|
|
|
EXPECT_MAT_NEAR(x_gold, x, 1e-4);
|
|
EXPECT_MAT_NEAR(y_gold, y, 1e-4);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, PolarToCart, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Bool(),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MeanStdDev
|
|
|
|
PARAM_TEST_CASE(MeanStdDev, cv::gpu::DeviceInfo, cv::Size, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(MeanStdDev, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, CV_8UC1);
|
|
|
|
cv::Scalar mean;
|
|
cv::Scalar stddev;
|
|
cv::gpu::meanStdDev(loadMat(src, useRoi), mean, stddev);
|
|
|
|
cv::Scalar mean_gold;
|
|
cv::Scalar stddev_gold;
|
|
cv::meanStdDev(src, mean_gold, stddev_gold);
|
|
|
|
EXPECT_SCALAR_NEAR(mean_gold, mean, 1e-5);
|
|
EXPECT_SCALAR_NEAR(stddev_gold, stddev, 1e-5);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, MeanStdDev, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Norm
|
|
|
|
PARAM_TEST_CASE(Norm, cv::gpu::DeviceInfo, cv::Size, MatDepth, NormCode, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int normCode;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
normCode = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(Norm, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
double val = cv::gpu::norm(loadMat(src, useRoi), normCode);
|
|
|
|
double val_gold = cv::norm(src, normCode);
|
|
|
|
EXPECT_NEAR(val_gold, val, depth < CV_32F ? 0.0 : 1.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Norm, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_8S),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32S),
|
|
MatDepth(CV_32F)),
|
|
testing::Values(NormCode(cv::NORM_L1), NormCode(cv::NORM_L2), NormCode(cv::NORM_INF)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// normDiff
|
|
|
|
PARAM_TEST_CASE(NormDiff, cv::gpu::DeviceInfo, cv::Size, NormCode, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int normCode;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
normCode = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(NormDiff, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, CV_8UC1);
|
|
cv::Mat src2 = randomMat(size, CV_8UC1);
|
|
|
|
double val = cv::gpu::norm(loadMat(src1, useRoi), loadMat(src2, useRoi), normCode);
|
|
|
|
double val_gold = cv::norm(src1, src2, normCode);
|
|
|
|
EXPECT_NEAR(val_gold, val, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, NormDiff, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(NormCode(cv::NORM_L1), NormCode(cv::NORM_L2), NormCode(cv::NORM_INF)),
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Sum
|
|
|
|
namespace
|
|
{
|
|
template <typename T>
|
|
cv::Scalar absSumImpl(const cv::Mat& src)
|
|
{
|
|
const int cn = src.channels();
|
|
|
|
cv::Scalar sum = cv::Scalar::all(0);
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
for (int c = 0; c < cn; ++c)
|
|
sum[c] += std::abs(src.at<T>(y, x * cn + c));
|
|
}
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
cv::Scalar absSumGold(const cv::Mat& src)
|
|
{
|
|
typedef cv::Scalar (*func_t)(const cv::Mat& src);
|
|
|
|
static const func_t funcs[] =
|
|
{
|
|
absSumImpl<uchar>,
|
|
absSumImpl<schar>,
|
|
absSumImpl<ushort>,
|
|
absSumImpl<short>,
|
|
absSumImpl<int>,
|
|
absSumImpl<float>,
|
|
absSumImpl<double>
|
|
};
|
|
|
|
return funcs[src.depth()](src);
|
|
}
|
|
|
|
template <typename T>
|
|
cv::Scalar sqrSumImpl(const cv::Mat& src)
|
|
{
|
|
const int cn = src.channels();
|
|
|
|
cv::Scalar sum = cv::Scalar::all(0);
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
for (int c = 0; c < cn; ++c)
|
|
{
|
|
const T val = src.at<T>(y, x * cn + c);
|
|
sum[c] += val * val;
|
|
}
|
|
}
|
|
}
|
|
|
|
return sum;
|
|
}
|
|
|
|
cv::Scalar sqrSumGold(const cv::Mat& src)
|
|
{
|
|
typedef cv::Scalar (*func_t)(const cv::Mat& src);
|
|
|
|
static const func_t funcs[] =
|
|
{
|
|
sqrSumImpl<uchar>,
|
|
sqrSumImpl<schar>,
|
|
sqrSumImpl<ushort>,
|
|
sqrSumImpl<short>,
|
|
sqrSumImpl<int>,
|
|
sqrSumImpl<float>,
|
|
sqrSumImpl<double>
|
|
};
|
|
|
|
return funcs[src.depth()](src);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Sum, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
cv::Mat src;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
src = randomMat(size, type, -128.0, 128.0);
|
|
}
|
|
};
|
|
|
|
TEST_P(Sum, Simple)
|
|
{
|
|
cv::Scalar val = cv::gpu::sum(loadMat(src, useRoi));
|
|
|
|
cv::Scalar val_gold = cv::sum(src);
|
|
|
|
EXPECT_SCALAR_NEAR(val_gold, val, CV_MAT_DEPTH(type) < CV_32F ? 0.0 : 0.5);
|
|
}
|
|
|
|
TEST_P(Sum, Abs)
|
|
{
|
|
cv::Scalar val = cv::gpu::absSum(loadMat(src, useRoi));
|
|
|
|
cv::Scalar val_gold = absSumGold(src);
|
|
|
|
EXPECT_SCALAR_NEAR(val_gold, val, CV_MAT_DEPTH(type) < CV_32F ? 0.0 : 0.5);
|
|
}
|
|
|
|
TEST_P(Sum, Sqr)
|
|
{
|
|
cv::Scalar val = cv::gpu::sqrSum(loadMat(src, useRoi));
|
|
|
|
cv::Scalar val_gold = sqrSumGold(src);
|
|
|
|
EXPECT_SCALAR_NEAR(val_gold, val, CV_MAT_DEPTH(type) < CV_32F ? 0.0 : 10);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Sum, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
TYPES(CV_8U, CV_32F, 1, 4),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MinMax
|
|
|
|
namespace
|
|
{
|
|
void minMaxLocGold(const cv::Mat& src, double* minVal_, double* maxVal_ = 0, cv::Point* minLoc_ = 0, cv::Point* maxLoc_ = 0, const cv::Mat& mask = cv::Mat())
|
|
{
|
|
if (src.depth() != CV_8S)
|
|
{
|
|
cv::minMaxLoc(src, minVal_, maxVal_, minLoc_, maxLoc_, mask);
|
|
return;
|
|
}
|
|
|
|
// OpenCV's minMaxLoc doesn't support CV_8S type
|
|
double minVal = std::numeric_limits<double>::max();
|
|
cv::Point minLoc(-1, -1);
|
|
|
|
double maxVal = -std::numeric_limits<double>::max();
|
|
cv::Point maxLoc(-1, -1);
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
const schar* src_row = src.ptr<signed char>(y);
|
|
const uchar* mask_row = mask.empty() ? 0 : mask.ptr<unsigned char>(y);
|
|
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
if (!mask_row || mask_row[x])
|
|
{
|
|
schar val = src_row[x];
|
|
|
|
if (val < minVal)
|
|
{
|
|
minVal = val;
|
|
minLoc = cv::Point(x, y);
|
|
}
|
|
|
|
if (val > maxVal)
|
|
{
|
|
maxVal = val;
|
|
maxLoc = cv::Point(x, y);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (minVal_) *minVal_ = minVal;
|
|
if (maxVal_) *maxVal_ = maxVal;
|
|
|
|
if (minLoc_) *minLoc_ = minLoc;
|
|
if (maxLoc_) *maxLoc_ = maxLoc;
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(MinMax, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(MinMax, WithoutMask)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
double minVal, maxVal;
|
|
cv::gpu::minMax(loadMat(src, useRoi), &minVal, &maxVal);
|
|
|
|
double minVal_gold, maxVal_gold;
|
|
minMaxLocGold(src, &minVal_gold, &maxVal_gold);
|
|
|
|
EXPECT_DOUBLE_EQ(minVal_gold, minVal);
|
|
EXPECT_DOUBLE_EQ(maxVal_gold, maxVal);
|
|
}
|
|
|
|
TEST_P(MinMax, WithMask)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
double minVal, maxVal;
|
|
cv::gpu::minMax(loadMat(src, useRoi), &minVal, &maxVal, loadMat(mask, useRoi));
|
|
|
|
double minVal_gold, maxVal_gold;
|
|
minMaxLocGold(src, &minVal_gold, &maxVal_gold, 0, 0, mask);
|
|
|
|
EXPECT_DOUBLE_EQ(minVal_gold, minVal);
|
|
EXPECT_DOUBLE_EQ(maxVal_gold, maxVal);
|
|
}
|
|
|
|
TEST_P(MinMax, NullPtr)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
cv::gpu::minMax(loadMat(src, useRoi), 0, 0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, MinMax, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MinMaxLoc
|
|
|
|
namespace
|
|
{
|
|
template <typename T>
|
|
void expectEqualImpl(const cv::Mat& src, cv::Point loc_gold, cv::Point loc)
|
|
{
|
|
EXPECT_EQ(src.at<T>(loc_gold.y, loc_gold.x), src.at<T>(loc.y, loc.x));
|
|
}
|
|
|
|
void expectEqual(const cv::Mat& src, cv::Point loc_gold, cv::Point loc)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Point loc_gold, cv::Point loc);
|
|
|
|
static const func_t funcs[] =
|
|
{
|
|
expectEqualImpl<uchar>,
|
|
expectEqualImpl<schar>,
|
|
expectEqualImpl<ushort>,
|
|
expectEqualImpl<short>,
|
|
expectEqualImpl<int>,
|
|
expectEqualImpl<float>,
|
|
expectEqualImpl<double>
|
|
};
|
|
|
|
funcs[src.depth()](src, loc_gold, loc);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(MinMaxLoc, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(MinMaxLoc, WithoutMask)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
double minVal, maxVal;
|
|
cv::Point minLoc, maxLoc;
|
|
cv::gpu::minMaxLoc(loadMat(src, useRoi), &minVal, &maxVal, &minLoc, &maxLoc);
|
|
|
|
double minVal_gold, maxVal_gold;
|
|
cv::Point minLoc_gold, maxLoc_gold;
|
|
minMaxLocGold(src, &minVal_gold, &maxVal_gold, &minLoc_gold, &maxLoc_gold);
|
|
|
|
EXPECT_DOUBLE_EQ(minVal_gold, minVal);
|
|
EXPECT_DOUBLE_EQ(maxVal_gold, maxVal);
|
|
|
|
expectEqual(src, minLoc_gold, minLoc);
|
|
expectEqual(src, maxLoc_gold, maxLoc);
|
|
}
|
|
|
|
TEST_P(MinMaxLoc, WithMask)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
double minVal, maxVal;
|
|
cv::Point minLoc, maxLoc;
|
|
cv::gpu::minMaxLoc(loadMat(src, useRoi), &minVal, &maxVal, &minLoc, &maxLoc, loadMat(mask, useRoi));
|
|
|
|
double minVal_gold, maxVal_gold;
|
|
cv::Point minLoc_gold, maxLoc_gold;
|
|
minMaxLocGold(src, &minVal_gold, &maxVal_gold, &minLoc_gold, &maxLoc_gold, mask);
|
|
|
|
EXPECT_DOUBLE_EQ(minVal_gold, minVal);
|
|
EXPECT_DOUBLE_EQ(maxVal_gold, maxVal);
|
|
|
|
expectEqual(src, minLoc_gold, minLoc);
|
|
expectEqual(src, maxLoc_gold, maxLoc);
|
|
}
|
|
|
|
TEST_P(MinMaxLoc, NullPtr)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
cv::gpu::minMaxLoc(loadMat(src, useRoi), 0, 0, 0, 0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, MinMaxLoc, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////
|
|
// CountNonZero
|
|
|
|
PARAM_TEST_CASE(CountNonZero, cv::gpu::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
bool useRoi;
|
|
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
TEST_P(CountNonZero, Accuracy)
|
|
{
|
|
cv::Mat srcBase = randomMat(size, CV_8U, 0.0, 1.5);
|
|
cv::Mat src;
|
|
srcBase.convertTo(src, depth);
|
|
|
|
int val = cv::gpu::countNonZero(loadMat(src, useRoi));
|
|
|
|
int val_gold = cv::countNonZero(src);
|
|
|
|
|
|
ASSERT_EQ(val_gold, val);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, CountNonZero, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Reduce
|
|
|
|
PARAM_TEST_CASE(Reduce, cv::gpu::DeviceInfo, cv::Size, MatDepth, int, ReduceCode, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int channels;
|
|
int reduceOp;
|
|
bool useRoi;
|
|
|
|
int type;
|
|
int dst_depth;
|
|
int dst_type;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
reduceOp = GET_PARAM(4);
|
|
useRoi = GET_PARAM(5);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
type = CV_MAKE_TYPE(depth, channels);
|
|
dst_depth = (reduceOp == CV_REDUCE_MAX || reduceOp == CV_REDUCE_MIN) ? depth : CV_32F;
|
|
dst_type = CV_MAKE_TYPE(dst_depth, channels);
|
|
}
|
|
};
|
|
|
|
TEST_P(Reduce, Rows)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(cv::Size(src.cols, 1), dst_type, useRoi);
|
|
cv::gpu::reduce(loadMat(src, useRoi), dst, 0, reduceOp, dst_depth);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::reduce(src, dst_gold, 0, reduceOp, dst_depth);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, dst_depth < CV_32F ? 0.0 : 1e-2);
|
|
}
|
|
|
|
TEST_P(Reduce, Cols)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::gpu::GpuMat dst = createMat(cv::Size(src.rows, 1), dst_type, useRoi);
|
|
cv::gpu::reduce(loadMat(src, useRoi), dst, 1, reduceOp, dst_depth);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::reduce(src, dst_gold, 1, reduceOp, dst_depth);
|
|
dst_gold.cols = dst_gold.rows;
|
|
dst_gold.rows = 1;
|
|
dst_gold.step = dst_gold.cols * dst_gold.elemSize();
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, dst_depth < CV_32F ? 0.0 : 1e-2);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Core, Reduce, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32F)),
|
|
testing::Values(1, 2, 3, 4),
|
|
ALL_REDUCE_CODES,
|
|
WHOLE_SUBMAT));
|