mirror of
https://github.com/opencv/opencv.git
synced 2024-12-30 13:08:18 +08:00
554 lines
16 KiB
C++
554 lines
16 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 "perf_precomp.hpp"
|
|
|
|
using namespace std;
|
|
using namespace testing;
|
|
using namespace perf;
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Remap
|
|
|
|
enum { HALF_SIZE=0, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH };
|
|
CV_ENUM(RemapMode, HALF_SIZE, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH)
|
|
|
|
void generateMap(cv::Mat& map_x, cv::Mat& map_y, int remapMode)
|
|
{
|
|
for (int j = 0; j < map_x.rows; ++j)
|
|
{
|
|
for (int i = 0; i < map_x.cols; ++i)
|
|
{
|
|
switch (remapMode)
|
|
{
|
|
case HALF_SIZE:
|
|
if (i > map_x.cols*0.25 && i < map_x.cols*0.75 && j > map_x.rows*0.25 && j < map_x.rows*0.75)
|
|
{
|
|
map_x.at<float>(j,i) = 2.f * (i - map_x.cols * 0.25f) + 0.5f;
|
|
map_y.at<float>(j,i) = 2.f * (j - map_x.rows * 0.25f) + 0.5f;
|
|
}
|
|
else
|
|
{
|
|
map_x.at<float>(j,i) = 0.f;
|
|
map_y.at<float>(j,i) = 0.f;
|
|
}
|
|
break;
|
|
case UPSIDE_DOWN:
|
|
map_x.at<float>(j,i) = static_cast<float>(i);
|
|
map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);
|
|
break;
|
|
case REFLECTION_X:
|
|
map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);
|
|
map_y.at<float>(j,i) = static_cast<float>(j);
|
|
break;
|
|
case REFLECTION_BOTH:
|
|
map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);
|
|
map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);
|
|
break;
|
|
} // end of switch
|
|
}
|
|
}
|
|
}
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border_Mode, cv::Size, MatDepth, MatCn, Interpolation, BorderMode, RemapMode);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Inter_Border_Mode, Remap,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
|
|
ALL_BORDER_MODES,
|
|
RemapMode::all()))
|
|
{
|
|
declare.time(20.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = GET_PARAM(3);
|
|
const int borderMode = GET_PARAM(4);
|
|
const int remapMode = GET_PARAM(5);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
cv::Mat xmap(size, CV_32FC1);
|
|
cv::Mat ymap(size, CV_32FC1);
|
|
generateMap(xmap, ymap, remapMode);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
const cv::cuda::GpuMat d_xmap(xmap);
|
|
const cv::cuda::GpuMat d_ymap(ymap);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::remap(d_src, dst, d_xmap, d_ymap, interpolation, borderMode);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Resize
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Scale, cv::Size, MatDepth, MatCn, Interpolation, double);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Inter_Scale, Resize,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
|
|
Values(0.5, 0.3, 2.0)))
|
|
{
|
|
declare.time(20.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = GET_PARAM(3);
|
|
const double f = GET_PARAM(4);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::resize(d_src, dst, cv::Size(), f, f, interpolation);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// ResizeArea
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn_Scale, cv::Size, MatDepth, MatCn, double);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Scale, ResizeArea,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(0.2, 0.1, 0.05)))
|
|
{
|
|
declare.time(1.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = cv::INTER_AREA;
|
|
const double f = GET_PARAM(3);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::resize(d_src, dst, cv::Size(), f, f, interpolation);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::resize(src, dst, cv::Size(), f, f, interpolation);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// WarpAffine
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border, cv::Size, MatDepth, MatCn, Interpolation, BorderMode);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Inter_Border, WarpAffine,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
|
|
ALL_BORDER_MODES))
|
|
{
|
|
declare.time(20.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = GET_PARAM(3);
|
|
const int borderMode = GET_PARAM(4);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
const double aplha = CV_PI / 4;
|
|
const double mat[2 * 3] =
|
|
{
|
|
std::cos(aplha), -std::sin(aplha), src.cols / 2,
|
|
std::sin(aplha), std::cos(aplha), 0
|
|
};
|
|
const cv::Mat M(2, 3, CV_64F, (void*) mat);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::warpAffine(d_src, dst, M, size, interpolation, borderMode);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::warpAffine(src, dst, M, size, interpolation, borderMode);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// WarpPerspective
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Inter_Border, WarpPerspective,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),
|
|
ALL_BORDER_MODES))
|
|
{
|
|
declare.time(20.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = GET_PARAM(3);
|
|
const int borderMode = GET_PARAM(4);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
const double aplha = CV_PI / 4;
|
|
double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), src.cols / 2},
|
|
{std::sin(aplha), std::cos(aplha), 0},
|
|
{0.0, 0.0, 1.0}};
|
|
const cv::Mat M(3, 3, CV_64F, (void*) mat);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::warpPerspective(d_src, dst, M, size, interpolation, borderMode);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::warpPerspective(src, dst, M, size, interpolation, borderMode);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BuildWarpPlaneMaps
|
|
|
|
PERF_TEST_P(Sz, BuildWarpPlaneMaps,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
|
|
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
|
|
const cv::Mat T = cv::Mat::zeros(1, 3, CV_32F);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
cv::cuda::GpuMat map_x;
|
|
cv::cuda::GpuMat map_y;
|
|
|
|
TEST_CYCLE() cv::cuda::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, map_x, map_y);
|
|
|
|
CUDA_SANITY_CHECK(map_x);
|
|
CUDA_SANITY_CHECK(map_y);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BuildWarpCylindricalMaps
|
|
|
|
PERF_TEST_P(Sz, BuildWarpCylindricalMaps,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
|
|
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
cv::cuda::GpuMat map_x;
|
|
cv::cuda::GpuMat map_y;
|
|
|
|
TEST_CYCLE() cv::cuda::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y);
|
|
|
|
CUDA_SANITY_CHECK(map_x);
|
|
CUDA_SANITY_CHECK(map_y);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// BuildWarpSphericalMaps
|
|
|
|
PERF_TEST_P(Sz, BuildWarpSphericalMaps,
|
|
CUDA_TYPICAL_MAT_SIZES)
|
|
{
|
|
const cv::Size size = GetParam();
|
|
|
|
const cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);
|
|
const cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
cv::cuda::GpuMat map_x;
|
|
cv::cuda::GpuMat map_y;
|
|
|
|
TEST_CYCLE() cv::cuda::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, map_x, map_y);
|
|
|
|
CUDA_SANITY_CHECK(map_x);
|
|
CUDA_SANITY_CHECK(map_y);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// Rotate
|
|
|
|
DEF_PARAM_TEST(Sz_Depth_Cn_Inter, cv::Size, MatDepth, MatCn, Interpolation);
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn_Inter, Rotate,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC))))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
const int interpolation = GET_PARAM(3);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::rotate(d_src, dst, size, 30.0, 0, 0, interpolation);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-3, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// PyrDown
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, PyrDown,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::pyrDown(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::pyrDown(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// PyrUp
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, PyrUp,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
TEST_CYCLE() cv::cuda::pyrUp(d_src, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::pyrUp(src, dst);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
// ImagePyramidGetLayer
|
|
|
|
PERF_TEST_P(Sz_Depth_Cn, ImagePyramidGetLayer,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(CV_8U, CV_16U, CV_32F),
|
|
CUDA_CHANNELS_1_3_4))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int depth = GET_PARAM(1);
|
|
const int channels = GET_PARAM(2);
|
|
|
|
const int type = CV_MAKE_TYPE(depth, channels);
|
|
|
|
cv::Mat src(size, type);
|
|
declare.in(src, WARMUP_RNG);
|
|
|
|
const int nLayers = 3;
|
|
const cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_src(src);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
cv::Ptr<cv::cuda::ImagePyramid> d_pyr = cv::cuda::createImagePyramid(d_src, nLayers);
|
|
|
|
TEST_CYCLE() d_pyr->getLayer(dst, dstSize);
|
|
|
|
CUDA_SANITY_CHECK(dst);
|
|
}
|
|
else
|
|
{
|
|
FAIL_NO_CPU();
|
|
}
|
|
}
|