2796 lines
78 KiB
C++
2796 lines
78 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
|
//
|
|
// By downloading, copying, installing or using the software you agree to this license.
|
|
// If you do not agree to this license, do not download, install,
|
|
// copy or use the software.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// Redistribution and use in source and binary forms, with or without modification,
|
|
// are permitted provided that the following conditions are met:
|
|
//
|
|
// * Redistribution's of source code must retain the above copyright notice,
|
|
// this list of conditions and the following disclaimer.
|
|
//
|
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
|
// this list of conditions and the following disclaimer in the documentation
|
|
// and/or other materials provided with the distribution.
|
|
//
|
|
// * The name of the copyright holders may not be used to endorse or promote products
|
|
// derived from this software without specific prior written permission.
|
|
//
|
|
// This software is provided by the copyright holders and contributors "as is" and
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// indirect, incidental, special, exemplary, or consequential damages
|
|
// (including, but not limited to, procurement of substitute goods or services;
|
|
// loss of use, data, or profits; or business interruption) however caused
|
|
// and on any theory of liability, whether in contract, strict liability,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//M*/
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
#ifdef HAVE_CUDA
|
|
|
|
using namespace cvtest;
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Add_Array
|
|
|
|
PARAM_TEST_CASE(Add_Array, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, Channels, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, channels);
|
|
dtype = CV_MAKE_TYPE(depth.second, channels);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Add_Array, Accuracy)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(loadMat(mat1), loadMat(mat2), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
|
|
cv::add(mat1, mat2, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Add_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
ALL_CHANNELS,
|
|
WHOLE_SUBMAT));
|
|
|
|
PARAM_TEST_CASE(Add_Array_Mask, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, 1);
|
|
dtype = CV_MAKE_TYPE(depth.second, 1);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Add_Array_Mask, Accuracy)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0, 2);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(loadMat(mat1), loadMat(mat2), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
|
|
cv::add(mat1, mat2, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Add_Array_Mask, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Add_Scalar
|
|
|
|
PARAM_TEST_CASE(Add_Scalar, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Add_Scalar, WithOutMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(loadMat(mat), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(loadMat(mat, useRoi), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::add(mat, val, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Add_Scalar, WithMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(loadMat(mat), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(loadMat(mat, useRoi), val, dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::add(mat, val, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Add_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Add_Scalar_First
|
|
|
|
PARAM_TEST_CASE(Add_Scalar_First, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Add_Scalar_First, WithOutMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(val, loadMat(mat), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(val, loadMat(mat, useRoi), dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::add(val, mat, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Add_Scalar_First, WithMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::add(val, loadMat(mat), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::add(val, loadMat(mat, useRoi), dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::add(val, mat, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Add_Scalar_First, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Subtract_Array
|
|
|
|
PARAM_TEST_CASE(Subtract_Array, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, Channels, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, channels);
|
|
dtype = CV_MAKE_TYPE(depth.second, channels);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Subtract_Array, Accuracy)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(loadMat(mat1), loadMat(mat2), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
|
|
cv::subtract(mat1, mat2, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Subtract_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
ALL_CHANNELS,
|
|
WHOLE_SUBMAT));
|
|
|
|
PARAM_TEST_CASE(Subtract_Array_Mask, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, 1);
|
|
dtype = CV_MAKE_TYPE(depth.second, 1);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Subtract_Array_Mask, Accuracy)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(loadMat(mat1), loadMat(mat2), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, dtype, cv::Scalar::all(0));
|
|
cv::subtract(mat1, mat2, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Subtract_Array_Mask, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Subtract_Scalar
|
|
|
|
PARAM_TEST_CASE(Subtract_Scalar, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Subtract_Scalar, WithOutMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(loadMat(mat), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(loadMat(mat, useRoi), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::subtract(mat, val, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Subtract_Scalar, WithMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(loadMat(mat), val, dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(loadMat(mat, useRoi), val, dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::subtract(mat, val, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Subtract_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Subtract_Scalar_First
|
|
|
|
PARAM_TEST_CASE(Subtract_Scalar_First, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Subtract_Scalar_First, WithOutMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(val, loadMat(mat), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(val, loadMat(mat, useRoi), dst, cv::cuda::GpuMat(), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::subtract(val, mat, dst_gold, cv::noArray(), depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Subtract_Scalar_First, WithMask)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
cv::Mat mask = randomMat(size, CV_8UC1, 0.0, 2.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::subtract(val, loadMat(mat), dst, cv::cuda::GpuMat(), depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
dst.setTo(cv::Scalar::all(0));
|
|
cv::cuda::subtract(val, loadMat(mat, useRoi), dst, loadMat(mask, useRoi), depth.second);
|
|
|
|
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
|
|
cv::subtract(val, mat, dst_gold, mask, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Subtract_Scalar_First, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Multiply_Array
|
|
|
|
PARAM_TEST_CASE(Multiply_Array, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, Channels, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, channels);
|
|
dtype = CV_MAKE_TYPE(depth.second, channels);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Multiply_Array, WithOutScale)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(loadMat(mat1), loadMat(mat2), dst, 1, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
cv::cuda::multiply(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, 1, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(mat1, mat2, dst_gold, 1, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-2 : 0.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Multiply_Array, WithScale)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(loadMat(mat1), loadMat(mat2), dst, scale, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
cv::cuda::multiply(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, scale, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(mat1, mat2, dst_gold, scale, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 2.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Multiply_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
ALL_CHANNELS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Multiply_Array_Special
|
|
|
|
PARAM_TEST_CASE(Multiply_Array_Special, cv::cuda::DeviceInfo, cv::Size, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Multiply_Array_Special, Case_8UC4x_32FC1)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, CV_8UC4);
|
|
cv::Mat mat2 = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_8UC4, useRoi);
|
|
cv::cuda::multiply(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);
|
|
}
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Multiply_Array_Special, Case_16SC4x_32FC1)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, CV_16SC4);
|
|
cv::Mat mat2 = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_16SC4, useRoi);
|
|
cv::cuda::multiply(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(CUDA_Arithm, Multiply_Array_Special, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Multiply_Scalar
|
|
|
|
PARAM_TEST_CASE(Multiply_Scalar, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Multiply_Scalar, WithOutScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(loadMat(mat), val, dst, 1, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::multiply(loadMat(mat, useRoi), val, dst, 1, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(mat, val, dst_gold, 1, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
|
}
|
|
}
|
|
|
|
|
|
CUDA_TEST_P(Multiply_Scalar, WithScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(loadMat(mat), val, dst, scale, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::multiply(loadMat(mat, useRoi), val, dst, scale, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(mat, val, dst_gold, scale, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Multiply_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Multiply_Scalar_First
|
|
|
|
PARAM_TEST_CASE(Multiply_Scalar_First, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Multiply_Scalar_First, WithOutScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(val, loadMat(mat), dst, 1, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::multiply(val, loadMat(mat, useRoi), dst, 1, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(val, mat, dst_gold, 1, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
|
}
|
|
}
|
|
|
|
|
|
CUDA_TEST_P(Multiply_Scalar_First, WithScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::multiply(val, loadMat(mat), dst, scale, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::multiply(val, loadMat(mat, useRoi), dst, scale, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::multiply(val, mat, dst_gold, scale, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Multiply_Scalar_First, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Array
|
|
|
|
PARAM_TEST_CASE(Divide_Array, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, Channels, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
int stype;
|
|
int dtype;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
channels = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
|
|
stype = CV_MAKE_TYPE(depth.first, channels);
|
|
dtype = CV_MAKE_TYPE(depth.second, channels);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Divide_Array, WithOutScale)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype, 1.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::divide(loadMat(mat1), loadMat(mat2), dst, 1, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
cv::cuda::divide(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, 1, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::divide(mat1, mat2, dst_gold, 1, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Divide_Array, WithScale)
|
|
{
|
|
cv::Mat mat1 = randomMat(size, stype);
|
|
cv::Mat mat2 = randomMat(size, stype, 1.0, 255.0);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::divide(loadMat(mat1), loadMat(mat2), dst, scale, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dtype, useRoi);
|
|
cv::cuda::divide(loadMat(mat1, useRoi), loadMat(mat2, useRoi), dst, scale, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::divide(mat1, mat2, dst_gold, scale, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-2 : 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Divide_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
ALL_CHANNELS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Array_Special
|
|
|
|
PARAM_TEST_CASE(Divide_Array_Special, cv::cuda::DeviceInfo, cv::Size, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_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::cuda::GpuMat dst = createMat(size, CV_8UC4, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
}
|
|
}
|
|
|
|
CUDA_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::cuda::GpuMat dst = createMat(size, CV_16SC4, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, Divide_Array_Special, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Scalar
|
|
|
|
PARAM_TEST_CASE(Divide_Scalar, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Divide_Scalar, WithOutScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(1.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::divide(loadMat(mat), val, dst, 1, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::divide(loadMat(mat, useRoi), val, dst, 1, depth.second);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::divide(mat, val, dst_gold, 1, depth.second);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Divide_Scalar, WithScale)
|
|
{
|
|
cv::Mat mat = randomMat(size, depth.first);
|
|
cv::Scalar val = randomScalar(1.0, 255.0);
|
|
double scale = randomDouble(0.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::divide(loadMat(mat), val, dst, scale, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::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-2 : 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Divide_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Divide_Scalar_First
|
|
|
|
PARAM_TEST_CASE(Divide_Scalar_First, cv::cuda::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
std::pair<MatDepth, MatDepth> depth;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
depth = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Divide_Scalar_First, Accuracy)
|
|
{
|
|
double scale = randomDouble(0.0, 255.0);
|
|
cv::Mat mat = randomMat(size, depth.first, 1.0, 255.0);
|
|
|
|
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::divide(scale, loadMat(mat), dst, 1.0, depth.second);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth.second, useRoi);
|
|
cv::cuda::divide(scale, loadMat(mat, useRoi), dst, 1.0, 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 : 1.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Divide_Scalar_First, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
DEPTH_PAIRS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// AbsDiff
|
|
|
|
PARAM_TEST_CASE(AbsDiff, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(AbsDiff, Array)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::absdiff(loadMat(src1), loadMat(src2), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(AbsDiff, Scalar)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
cv::Scalar val = randomScalar(0.0, 255.0);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::absdiff(loadMat(src), val, dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(AbsDiff, Scalar_First)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
cv::Scalar val = randomScalar(0.0, 255.0);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::absdiff(val, loadMat(src), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::absdiff(val, loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::absdiff(val, src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth <= CV_32F ? 1.0 : 1e-5);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, AbsDiff, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Abs
|
|
|
|
PARAM_TEST_CASE(Abs, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Abs, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::abs(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::abs(src);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Abs, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_16S), MatDepth(CV_32F)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Sqr
|
|
|
|
PARAM_TEST_CASE(Sqr, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Sqr, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth, 0, depth == CV_8U ? 16 : 255);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, Sqr, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32F)),
|
|
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::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Sqrt, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::sqrt(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
sqrtGold(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-5);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Sqrt, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32F)),
|
|
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::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Log, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth, 1.0, 255.0);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::log(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
logGold(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-6);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Log, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32F)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Exp
|
|
|
|
namespace
|
|
{
|
|
template <typename T> void expImpl(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) = cv::saturate_cast<T>(static_cast<int>(std::exp(static_cast<float>(src.at<T>(y, x)))));
|
|
}
|
|
}
|
|
void expImpl_float(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<float>(y, x) = std::exp(static_cast<float>(src.at<float>(y, x)));
|
|
}
|
|
}
|
|
|
|
void expGold(const cv::Mat& src, cv::Mat& dst)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Mat& dst);
|
|
|
|
const func_t funcs[] =
|
|
{
|
|
expImpl<uchar>, expImpl<schar>, expImpl<ushort>, expImpl<short>,
|
|
expImpl<int>, expImpl_float
|
|
};
|
|
|
|
funcs[src.depth()](src, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Exp, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Exp, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth, 0.0, 10.0);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::exp(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
expGold(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-2);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Exp, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32F)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Pow
|
|
|
|
PARAM_TEST_CASE(Pow, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Pow, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, depth, 0.0, 10.0);
|
|
double power = randomDouble(2.0, 4.0);
|
|
|
|
if (src.depth() < CV_32F)
|
|
power = static_cast<int>(power);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::pow(loadMat(src), power, dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::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-1);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Pow, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Compare_Array
|
|
|
|
CV_ENUM(CmpCode, cv::CMP_EQ, cv::CMP_GT, cv::CMP_GE, cv::CMP_LT, cv::CMP_LE, cv::CMP_NE)
|
|
#define ALL_CMP_CODES testing::Values(CmpCode(cv::CMP_EQ), CmpCode(cv::CMP_NE), CmpCode(cv::CMP_GT), CmpCode(cv::CMP_GE), CmpCode(cv::CMP_LT), CmpCode(cv::CMP_LE))
|
|
|
|
PARAM_TEST_CASE(Compare_Array, cv::cuda::DeviceInfo, cv::Size, MatDepth, CmpCode, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Compare_Array, Accuracy)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::compare(loadMat(src1), loadMat(src2), dst, cmp_code);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, CV_8UC1, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, Compare_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
ALL_CMP_CODES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Compare_Scalar
|
|
|
|
namespace
|
|
{
|
|
template <template <typename> class Op, typename T>
|
|
void compareScalarImpl(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst)
|
|
{
|
|
Op<T> op;
|
|
|
|
const int cn = src.channels();
|
|
|
|
dst.create(src.size(), CV_MAKE_TYPE(CV_8U, cn));
|
|
|
|
for (int y = 0; y < src.rows; ++y)
|
|
{
|
|
for (int x = 0; x < src.cols; ++x)
|
|
{
|
|
for (int c = 0; c < cn; ++c)
|
|
{
|
|
T src_val = src.at<T>(y, x * cn + c);
|
|
T sc_val = cv::saturate_cast<T>(sc.val[c]);
|
|
dst.at<uchar>(y, x * cn + c) = static_cast<uchar>(static_cast<int>(op(src_val, sc_val)) * 255);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void compareScalarGold(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst, int cmpop)
|
|
{
|
|
typedef void (*func_t)(const cv::Mat& src, cv::Scalar sc, cv::Mat& dst);
|
|
static const func_t funcs[7][6] =
|
|
{
|
|
{compareScalarImpl<std::equal_to, unsigned char> , compareScalarImpl<std::greater, unsigned char> , compareScalarImpl<std::greater_equal, unsigned char> , compareScalarImpl<std::less, unsigned char> , compareScalarImpl<std::less_equal, unsigned char> , compareScalarImpl<std::not_equal_to, unsigned char> },
|
|
{compareScalarImpl<std::equal_to, signed char> , compareScalarImpl<std::greater, signed char> , compareScalarImpl<std::greater_equal, signed char> , compareScalarImpl<std::less, signed char> , compareScalarImpl<std::less_equal, signed char> , compareScalarImpl<std::not_equal_to, signed char> },
|
|
{compareScalarImpl<std::equal_to, unsigned short>, compareScalarImpl<std::greater, unsigned short>, compareScalarImpl<std::greater_equal, unsigned short>, compareScalarImpl<std::less, unsigned short>, compareScalarImpl<std::less_equal, unsigned short>, compareScalarImpl<std::not_equal_to, unsigned short>},
|
|
{compareScalarImpl<std::equal_to, short> , compareScalarImpl<std::greater, short> , compareScalarImpl<std::greater_equal, short> , compareScalarImpl<std::less, short> , compareScalarImpl<std::less_equal, short> , compareScalarImpl<std::not_equal_to, short> },
|
|
{compareScalarImpl<std::equal_to, int> , compareScalarImpl<std::greater, int> , compareScalarImpl<std::greater_equal, int> , compareScalarImpl<std::less, int> , compareScalarImpl<std::less_equal, int> , compareScalarImpl<std::not_equal_to, int> },
|
|
{compareScalarImpl<std::equal_to, float> , compareScalarImpl<std::greater, float> , compareScalarImpl<std::greater_equal, float> , compareScalarImpl<std::less, float> , compareScalarImpl<std::less_equal, float> , compareScalarImpl<std::not_equal_to, float> },
|
|
{compareScalarImpl<std::equal_to, double> , compareScalarImpl<std::greater, double> , compareScalarImpl<std::greater_equal, double> , compareScalarImpl<std::less, double> , compareScalarImpl<std::less_equal, double> , compareScalarImpl<std::not_equal_to, double> }
|
|
};
|
|
|
|
funcs[src.depth()][cmpop](src, sc, dst);
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Compare_Scalar, cv::cuda::DeviceInfo, cv::Size, MatType, CmpCode, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
int cmp_code;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
cmp_code = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Compare_Scalar, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Scalar sc = randomScalar(0.0, 255.0);
|
|
|
|
if (src.depth() < CV_32F)
|
|
{
|
|
sc.val[0] = cvRound(sc.val[0]);
|
|
sc.val[1] = cvRound(sc.val[1]);
|
|
sc.val[2] = cvRound(sc.val[2]);
|
|
sc.val[3] = cvRound(sc.val[3]);
|
|
}
|
|
|
|
if (src.depth() == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::compare(loadMat(src), sc, dst, cmp_code);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, CV_MAKE_TYPE(CV_8U, src.channels()), useRoi);
|
|
|
|
cv::cuda::compare(loadMat(src, useRoi), sc, dst, cmp_code);
|
|
|
|
cv::Mat dst_gold;
|
|
compareScalarGold(src, sc, dst_gold, cmp_code);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Compare_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
TYPES(CV_8U, CV_64F, 1, 4),
|
|
ALL_CMP_CODES,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Bitwise_Array
|
|
|
|
PARAM_TEST_CASE(Bitwise_Array, cv::cuda::DeviceInfo, cv::Size, MatType)
|
|
{
|
|
cv::cuda::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::cuda::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());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Bitwise_Array, Not)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::bitwise_not(loadMat(src1), dst);
|
|
|
|
cv::Mat dst_gold = ~src1;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
CUDA_TEST_P(Bitwise_Array, Or)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::bitwise_or(loadMat(src1), loadMat(src2), dst);
|
|
|
|
cv::Mat dst_gold = src1 | src2;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
CUDA_TEST_P(Bitwise_Array, And)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::bitwise_and(loadMat(src1), loadMat(src2), dst);
|
|
|
|
cv::Mat dst_gold = src1 & src2;
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
CUDA_TEST_P(Bitwise_Array, Xor)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::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(CUDA_Arithm, Bitwise_Array, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
TYPES(CV_8U, CV_32S, 1, 4)));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Bitwise_Scalar
|
|
|
|
PARAM_TEST_CASE(Bitwise_Scalar, cv::cuda::DeviceInfo, cv::Size, MatDepth, Channels)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
|
|
src = randomMat(size, CV_MAKE_TYPE(depth, channels));
|
|
cv::Scalar_<int> ival = randomScalar(0.0, std::numeric_limits<int>::max());
|
|
val = ival;
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Bitwise_Scalar, Or)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::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);
|
|
}
|
|
|
|
CUDA_TEST_P(Bitwise_Scalar, And)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::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);
|
|
}
|
|
|
|
CUDA_TEST_P(Bitwise_Scalar, Xor)
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::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(CUDA_Arithm, Bitwise_Scalar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32S)),
|
|
IMAGE_CHANNELS));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// 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::cuda::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_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::cuda::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, RShift, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U),
|
|
MatDepth(CV_8S),
|
|
MatDepth(CV_16U),
|
|
MatDepth(CV_16S),
|
|
MatDepth(CV_32S)),
|
|
IMAGE_CHANNELS,
|
|
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::cuda::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_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::cuda::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::cuda::lshift(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
lhiftGold(src, val, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, LShift, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32S)),
|
|
IMAGE_CHANNELS,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Min
|
|
|
|
PARAM_TEST_CASE(Min, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Min, Array)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::min(loadMat(src1), loadMat(src2), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::min(loadMat(src1, useRoi), loadMat(src2, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::min(src1, src2);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Min, Scalar)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
double val = randomDouble(0.0, 255.0);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::min(loadMat(src), val, dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::min(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold = cv::min(src, val);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-5);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Min, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// Max
|
|
|
|
PARAM_TEST_CASE(Max, cv::cuda::DeviceInfo, cv::Size, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Max, Array)
|
|
{
|
|
cv::Mat src1 = randomMat(size, depth);
|
|
cv::Mat src2 = randomMat(size, depth);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::max(loadMat(src1), loadMat(src2), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::max(loadMat(src1, useRoi), loadMat(src2, useRoi), dst);
|
|
|
|
cv::Mat dst_gold = cv::max(src1, src2);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
}
|
|
|
|
CUDA_TEST_P(Max, Scalar)
|
|
{
|
|
cv::Mat src = randomMat(size, depth);
|
|
double val = randomDouble(0.0, 255.0);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::max(loadMat(src), val, dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, depth, useRoi);
|
|
cv::cuda::max(loadMat(src, useRoi), val, dst);
|
|
|
|
cv::Mat dst_gold = cv::max(src, val);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-5);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Max, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// AddWeighted
|
|
|
|
PARAM_TEST_CASE(AddWeighted, cv::cuda::DeviceInfo, cv::Size, MatDepth, MatDepth, MatDepth, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_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);
|
|
|
|
if ((depth1 == CV_64F || depth2 == CV_64F || dst_depth == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::addWeighted(loadMat(src1), alpha, loadMat(src2), beta, gamma, dst, dst_depth);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(size, dst_depth, useRoi);
|
|
cv::cuda::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 ? 2.0 : 1e-3);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, AddWeighted, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
ALL_DEPTH,
|
|
ALL_DEPTH,
|
|
WHOLE_SUBMAT));
|
|
|
|
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
// Threshold
|
|
|
|
CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)
|
|
#define ALL_THRESH_OPS testing::Values(ThreshOp(cv::THRESH_BINARY), ThreshOp(cv::THRESH_BINARY_INV), ThreshOp(cv::THRESH_TRUNC), ThreshOp(cv::THRESH_TOZERO), ThreshOp(cv::THRESH_TOZERO_INV))
|
|
|
|
PARAM_TEST_CASE(Threshold, cv::cuda::DeviceInfo, cv::Size, MatType, ThreshOp, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
int threshOp;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
threshOp = GET_PARAM(3);
|
|
useRoi = GET_PARAM(4);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Threshold, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
double maxVal = randomDouble(20.0, 127.0);
|
|
double thresh = randomDouble(0.0, maxVal);
|
|
|
|
cv::cuda::GpuMat dst = createMat(src.size(), src.type(), useRoi);
|
|
cv::cuda::threshold(loadMat(src, useRoi), dst, thresh, maxVal, threshOp);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::threshold(src, dst_gold, thresh, maxVal, threshOp);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Threshold, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1), MatType(CV_16SC1), MatType(CV_32FC1)),
|
|
ALL_THRESH_OPS,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Magnitude
|
|
|
|
PARAM_TEST_CASE(Magnitude, cv::cuda::DeviceInfo, cv::Size, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
useRoi = GET_PARAM(2);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Magnitude, NPP)
|
|
{
|
|
cv::Mat src = randomMat(size, CV_32FC2);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
|
|
CUDA_TEST_P(Magnitude, Sqr_NPP)
|
|
{
|
|
cv::Mat src = randomMat(size, CV_32FC2);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
|
|
CUDA_TEST_P(Magnitude, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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);
|
|
}
|
|
|
|
CUDA_TEST_P(Magnitude, Sqr_Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, Magnitude, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Phase
|
|
|
|
namespace
|
|
{
|
|
IMPLEMENT_PARAM_CLASS(AngleInDegrees, bool)
|
|
}
|
|
|
|
PARAM_TEST_CASE(Phase, cv::cuda::DeviceInfo, cv::Size, AngleInDegrees, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Phase, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, Phase, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(AngleInDegrees(false), AngleInDegrees(true)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// CartToPolar
|
|
|
|
PARAM_TEST_CASE(CartToPolar, cv::cuda::DeviceInfo, cv::Size, AngleInDegrees, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(CartToPolar, Accuracy)
|
|
{
|
|
cv::Mat x = randomMat(size, CV_32FC1);
|
|
cv::Mat y = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat mag = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::GpuMat angle = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, CartToPolar, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(AngleInDegrees(false), AngleInDegrees(true)),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// polarToCart
|
|
|
|
PARAM_TEST_CASE(PolarToCart, cv::cuda::DeviceInfo, cv::Size, AngleInDegrees, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(PolarToCart, Accuracy)
|
|
{
|
|
cv::Mat magnitude = randomMat(size, CV_32FC1);
|
|
cv::Mat angle = randomMat(size, CV_32FC1);
|
|
|
|
cv::cuda::GpuMat x = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::GpuMat y = createMat(size, CV_32FC1, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, PolarToCart, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(AngleInDegrees(false), AngleInDegrees(true)),
|
|
WHOLE_SUBMAT));
|
|
|
|
#endif // HAVE_CUDA
|