mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 06:10:02 +08:00
1505 lines
34 KiB
C++
1505 lines
34 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"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
#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);
|
|
DEF_PARAM_TEST(Sz_Type_AngleInDegrees, cv::Size, MatType, 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_Type_AngleInDegrees, PolarToCart,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
testing::Values(CV_32FC1, CV_64FC1),
|
|
Bool()))
|
|
{
|
|
const cv::Size size = GET_PARAM(0);
|
|
const int type = GET_PARAM(1);
|
|
const bool angleInDegrees = GET_PARAM(2);
|
|
|
|
cv::Mat magnitude(size, type);
|
|
declare.in(magnitude, WARMUP_RNG);
|
|
|
|
cv::Mat angle(size, type);
|
|
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);
|
|
}
|
|
}
|
|
|
|
}} // namespace
|