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opencv/modules/cudaarithm/perf/perf_element_operations.cpp

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/*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;
#define ARITHM_MAT_DEPTH Values(CV_8U, CV_16U, CV_32F, CV_64F)
//////////////////////////////////////////////////////////////////////
// AddMat
DEF_PARAM_TEST(Sz_Depth, cv::Size, MatDepth);
PERF_TEST_P(Sz_Depth, AddMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::add(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::add(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// AddScalar
PERF_TEST_P(Sz_Depth, AddScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::add(d_src, s, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::add(src, s, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// SubtractMat
PERF_TEST_P(Sz_Depth, SubtractMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::subtract(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::subtract(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// SubtractScalar
PERF_TEST_P(Sz_Depth, SubtractScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::subtract(d_src, s, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::subtract(src, s, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MultiplyMat
PERF_TEST_P(Sz_Depth, MultiplyMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::multiply(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst, 1e-6);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::multiply(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MultiplyScalar
PERF_TEST_P(Sz_Depth, MultiplyScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::multiply(d_src, s, dst);
CUDA_SANITY_CHECK(dst, 1e-6);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::multiply(src, s, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// DivideMat
PERF_TEST_P(Sz_Depth, DivideMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::divide(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst, 1e-6);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::divide(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// DivideScalar
PERF_TEST_P(Sz_Depth, DivideScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::divide(d_src, s, dst);
CUDA_SANITY_CHECK(dst, 1e-6);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::divide(src, s, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// DivideScalarInv
PERF_TEST_P(Sz_Depth, DivideScalarInv,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::divide(s[0], d_src, dst);
CUDA_SANITY_CHECK(dst, 1e-6);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::divide(s, src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// AbsDiffMat
PERF_TEST_P(Sz_Depth, AbsDiffMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::absdiff(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::absdiff(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// AbsDiffScalar
PERF_TEST_P(Sz_Depth, AbsDiffScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::absdiff(d_src, s, dst);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::absdiff(src, s, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Abs
PERF_TEST_P(Sz_Depth, Abs,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_16S, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::abs(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// Sqr
PERF_TEST_P(Sz_Depth, Sqr,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::sqr(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// Sqrt
PERF_TEST_P(Sz_Depth, Sqrt,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
cv::randu(src, 0, 100000);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::sqrt(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::sqrt(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Log
PERF_TEST_P(Sz_Depth, Log,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
cv::randu(src, 0, 100000);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::log(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::log(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Exp
PERF_TEST_P(Sz_Depth, Exp,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
cv::randu(src, 0, 10);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::exp(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::exp(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// Pow
DEF_PARAM_TEST(Sz_Depth_Power, cv::Size, MatDepth, double);
PERF_TEST_P(Sz_Depth_Power, Pow,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S, CV_32F),
Values(0.3, 2.0, 2.4)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const double power = GET_PARAM(2);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::pow(d_src, power, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::pow(src, power, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// CompareMat
CV_ENUM(CmpCode, cv::CMP_EQ, cv::CMP_GT, cv::CMP_GE, cv::CMP_LT, cv::CMP_LE, cv::CMP_NE)
DEF_PARAM_TEST(Sz_Depth_Code, cv::Size, MatDepth, CmpCode);
PERF_TEST_P(Sz_Depth_Code, CompareMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH,
CmpCode::all()))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int cmp_code = GET_PARAM(2);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::compare(d_src1, d_src2, dst, cmp_code);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::compare(src1, src2, dst, cmp_code);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// CompareScalar
PERF_TEST_P(Sz_Depth_Code, CompareScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
ARITHM_MAT_DEPTH,
CmpCode::all()))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int cmp_code = GET_PARAM(2);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::compare(d_src, s, dst, cmp_code);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::compare(src, s, dst, cmp_code);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseNot
PERF_TEST_P(Sz_Depth, BitwiseNot,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_not(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_not(src, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseAndMat
PERF_TEST_P(Sz_Depth, BitwiseAndMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_and(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_and(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseAndScalar
DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, MatDepth, MatCn);
PERF_TEST_P(Sz_Depth_Cn, BitwiseAndScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S),
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);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
cv::Scalar_<int> is = s;
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_and(d_src, is, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_and(src, is, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseOrMat
PERF_TEST_P(Sz_Depth, BitwiseOrMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_or(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_or(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseOrScalar
PERF_TEST_P(Sz_Depth_Cn, BitwiseOrScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S),
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);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
cv::Scalar_<int> is = s;
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_or(d_src, is, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_or(src, is, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseXorMat
PERF_TEST_P(Sz_Depth, BitwiseXorMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_xor(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_xor(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// BitwiseXorScalar
PERF_TEST_P(Sz_Depth_Cn, BitwiseXorScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S),
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);
cv::Scalar s;
declare.in(s, WARMUP_RNG);
cv::Scalar_<int> is = s;
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::bitwise_xor(d_src, is, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::bitwise_xor(src, is, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// RShift
PERF_TEST_P(Sz_Depth_Cn, RShift,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S),
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 cv::Scalar_<int> val = cv::Scalar_<int>::all(4);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::rshift(d_src, val, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// LShift
PERF_TEST_P(Sz_Depth_Cn, LShift,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32S),
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 cv::Scalar_<int> val = cv::Scalar_<int>::all(4);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::lshift(d_src, val, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// MinMat
PERF_TEST_P(Sz_Depth, MinMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::min(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::min(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MinScalar
PERF_TEST_P(Sz_Depth, MinScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar val;
declare.in(val, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::min(d_src, val[0], dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::min(src, val[0], dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MaxMat
PERF_TEST_P(Sz_Depth, MaxMat,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src1(size, depth);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::max(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::max(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MaxScalar
PERF_TEST_P(Sz_Depth, MaxScalar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Scalar val;
declare.in(val, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::max(d_src, val[0], dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::max(src, val[0], dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// AddWeighted
DEF_PARAM_TEST(Sz_3Depth, cv::Size, MatDepth, MatDepth, MatDepth);
PERF_TEST_P(Sz_3Depth, AddWeighted,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F, CV_64F),
Values(CV_8U, CV_16U, CV_32F, CV_64F),
Values(CV_8U, CV_16U, CV_32F, CV_64F)))
{
const cv::Size size = GET_PARAM(0);
const int depth1 = GET_PARAM(1);
const int depth2 = GET_PARAM(2);
const int dst_depth = GET_PARAM(3);
cv::Mat src1(size, depth1);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, depth2);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::addWeighted(d_src1, 0.5, d_src2, 0.5, 10.0, dst, dst_depth);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::addWeighted(src1, 0.5, src2, 0.5, 10.0, dst, dst_depth);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MagnitudeComplex
PERF_TEST_P(Sz, MagnitudeComplex,
CUDA_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
cv::Mat src(size, CV_32FC2);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::magnitude(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat xy[2];
cv::split(src, xy);
cv::Mat dst;
TEST_CYCLE() cv::magnitude(xy[0], xy[1], dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MagnitudeSqrComplex
PERF_TEST_P(Sz, MagnitudeSqrComplex,
CUDA_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
cv::Mat src(size, CV_32FC2);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::magnitudeSqr(d_src, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// Magnitude
PERF_TEST_P(Sz, Magnitude,
CUDA_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
cv::Mat src1(size, CV_32FC1);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, CV_32FC1);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::magnitude(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::magnitude(src1, src2, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// MagnitudeSqr
PERF_TEST_P(Sz, MagnitudeSqr,
CUDA_TYPICAL_MAT_SIZES)
{
const cv::Size size = GetParam();
cv::Mat src1(size, CV_32FC1);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, CV_32FC1);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::magnitudeSqr(d_src1, d_src2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// Phase
DEF_PARAM_TEST(Sz_AngleInDegrees, cv::Size, bool);
PERF_TEST_P(Sz_AngleInDegrees, Phase,
Combine(CUDA_TYPICAL_MAT_SIZES,
Bool()))
{
const cv::Size size = GET_PARAM(0);
const bool angleInDegrees = GET_PARAM(1);
cv::Mat src1(size, CV_32FC1);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, CV_32FC1);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::phase(d_src1, d_src2, dst, angleInDegrees);
CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::phase(src1, src2, dst, angleInDegrees);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// CartToPolar
PERF_TEST_P(Sz_AngleInDegrees, CartToPolar,
Combine(CUDA_TYPICAL_MAT_SIZES,
Bool()))
{
const cv::Size size = GET_PARAM(0);
const bool angleInDegrees = GET_PARAM(1);
cv::Mat src1(size, CV_32FC1);
declare.in(src1, WARMUP_RNG);
cv::Mat src2(size, CV_32FC1);
declare.in(src2, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src1(src1);
const cv::cuda::GpuMat d_src2(src2);
cv::cuda::GpuMat magnitude;
cv::cuda::GpuMat angle;
TEST_CYCLE() cv::cuda::cartToPolar(d_src1, d_src2, magnitude, angle, angleInDegrees);
CUDA_SANITY_CHECK(magnitude);
CUDA_SANITY_CHECK(angle, 1e-6, ERROR_RELATIVE);
}
else
{
cv::Mat magnitude;
cv::Mat angle;
TEST_CYCLE() cv::cartToPolar(src1, src2, magnitude, angle, angleInDegrees);
CPU_SANITY_CHECK(magnitude);
CPU_SANITY_CHECK(angle);
}
}
//////////////////////////////////////////////////////////////////////
// PolarToCart
PERF_TEST_P(Sz_AngleInDegrees, PolarToCart,
Combine(CUDA_TYPICAL_MAT_SIZES,
Bool()))
{
const cv::Size size = GET_PARAM(0);
const bool angleInDegrees = GET_PARAM(1);
cv::Mat magnitude(size, CV_32FC1);
declare.in(magnitude, WARMUP_RNG);
cv::Mat angle(size, CV_32FC1);
declare.in(angle, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_magnitude(magnitude);
const cv::cuda::GpuMat d_angle(angle);
cv::cuda::GpuMat x;
cv::cuda::GpuMat y;
TEST_CYCLE() cv::cuda::polarToCart(d_magnitude, d_angle, x, y, angleInDegrees);
CUDA_SANITY_CHECK(x);
CUDA_SANITY_CHECK(y);
}
else
{
cv::Mat x;
cv::Mat y;
TEST_CYCLE() cv::polarToCart(magnitude, angle, x, y, angleInDegrees);
CPU_SANITY_CHECK(x);
CPU_SANITY_CHECK(y);
}
}
//////////////////////////////////////////////////////////////////////
// Threshold
CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)
DEF_PARAM_TEST(Sz_Depth_Op, cv::Size, MatDepth, ThreshOp);
PERF_TEST_P(Sz_Depth_Op, Threshold,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16U, CV_32F, CV_64F),
ThreshOp::all()))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int threshOp = GET_PARAM(2);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_src(src);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::threshold(d_src, dst, 100.0, 255.0, threshOp);
CUDA_SANITY_CHECK(dst, 1e-10);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::threshold(src, dst, 100.0, 255.0, threshOp);
CPU_SANITY_CHECK(dst);
}
}