mirror of
https://github.com/opencv/opencv.git
synced 2024-12-27 11:28:14 +08:00
420 lines
12 KiB
C++
420 lines
12 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;
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Merge
|
|
|
|
PARAM_TEST_CASE(Merge, 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(Merge, Accuracy)
|
|
{
|
|
std::vector<cv::Mat> src;
|
|
src.reserve(channels);
|
|
for (int i = 0; i < channels; ++i)
|
|
src.push_back(cv::Mat(size, depth, cv::Scalar::all(i)));
|
|
|
|
std::vector<cv::cuda::GpuMat> d_src;
|
|
for (int i = 0; i < channels; ++i)
|
|
d_src.push_back(loadMat(src[i], useRoi));
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::merge(d_src, dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::merge(d_src, dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::merge(src, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Merge, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
testing::Values(1, 2, 3, 4),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Split
|
|
|
|
PARAM_TEST_CASE(Split, cv::cuda::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int depth;
|
|
int channels;
|
|
bool useRoi;
|
|
|
|
int type;
|
|
|
|
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());
|
|
|
|
type = CV_MAKE_TYPE(depth, channels);
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Split, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
if (depth == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
std::vector<cv::cuda::GpuMat> dst;
|
|
cv::cuda::split(loadMat(src), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
std::vector<cv::cuda::GpuMat> dst;
|
|
cv::cuda::split(loadMat(src, useRoi), dst);
|
|
|
|
std::vector<cv::Mat> dst_gold;
|
|
cv::split(src, dst_gold);
|
|
|
|
ASSERT_EQ(dst_gold.size(), dst.size());
|
|
|
|
for (size_t i = 0; i < dst_gold.size(); ++i)
|
|
{
|
|
EXPECT_MAT_NEAR(dst_gold[i], dst[i], 0.0);
|
|
}
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Split, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
ALL_DEPTH,
|
|
testing::Values(1, 2, 3, 4),
|
|
WHOLE_SUBMAT));
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Transpose
|
|
|
|
PARAM_TEST_CASE(Transpose, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Transpose, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
if (CV_MAT_DEPTH(type) == CV_64F && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
|
|
{
|
|
try
|
|
{
|
|
cv::cuda::GpuMat dst;
|
|
cv::cuda::transpose(loadMat(src), dst);
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::cuda::GpuMat dst = createMat(cv::Size(size.height, size.width), type, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, 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
|
|
|
|
enum {FLIP_BOTH = 0, FLIP_X = 1, FLIP_Y = -1};
|
|
CV_ENUM(FlipCode, FLIP_BOTH, FLIP_X, FLIP_Y)
|
|
#define ALL_FLIP_CODES testing::Values(FlipCode(FLIP_BOTH), FlipCode(FLIP_X), FlipCode(FLIP_Y))
|
|
|
|
PARAM_TEST_CASE(Flip, cv::cuda::DeviceInfo, cv::Size, MatType, FlipCode, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(Flip, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, type, useRoi);
|
|
cv::cuda::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(CUDA_Arithm, 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::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::cuda::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::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(LUT, OneChannel)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Mat lut = randomMat(cv::Size(256, 1), CV_8UC1);
|
|
|
|
cv::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels()));
|
|
lutAlg->transform(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::LUT(src, lut, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
CUDA_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::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut);
|
|
|
|
cv::cuda::GpuMat dst = createMat(size, CV_MAKE_TYPE(lut.depth(), src.channels()), useRoi);
|
|
lutAlg->transform(loadMat(src, useRoi), dst);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::LUT(src, lut, dst_gold);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, LUT, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3)),
|
|
WHOLE_SUBMAT));
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
// CopyMakeBorder
|
|
|
|
namespace
|
|
{
|
|
IMPLEMENT_PARAM_CLASS(Border, int)
|
|
}
|
|
|
|
PARAM_TEST_CASE(CopyMakeBorder, cv::cuda::DeviceInfo, cv::Size, MatType, Border, BorderType, UseRoi)
|
|
{
|
|
cv::cuda::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
int border;
|
|
int borderType;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
border = GET_PARAM(3);
|
|
borderType = GET_PARAM(4);
|
|
useRoi = GET_PARAM(5);
|
|
|
|
cv::cuda::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
CUDA_TEST_P(CopyMakeBorder, Accuracy)
|
|
{
|
|
cv::Mat src = randomMat(size, type);
|
|
cv::Scalar val = randomScalar(0, 255);
|
|
|
|
cv::cuda::GpuMat dst = createMat(cv::Size(size.width + 2 * border, size.height + 2 * border), type, useRoi);
|
|
cv::cuda::copyMakeBorder(loadMat(src, useRoi), dst, border, border, border, border, borderType, val);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::copyMakeBorder(src, dst_gold, border, border, border, border, borderType, val);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, CopyMakeBorder, 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_32FC1),
|
|
MatType(CV_32FC3),
|
|
MatType(CV_32FC4)),
|
|
testing::Values(Border(1), Border(10), Border(50)),
|
|
ALL_BORDER_TYPES,
|
|
WHOLE_SUBMAT));
|
|
|
|
#endif // HAVE_CUDA
|