opencv/modules/gpuimgproc/perf/perf_match_template.cpp

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2013-04-18 14:46:28 +08:00
/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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.
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// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Redistribution and use in source and binary forms, with or without modification,
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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
using namespace perf;
////////////////////////////////////////////////////////////////////////////////
// MatchTemplate8U
CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
GPU_CHANNELS_1_3_4,
TemplateMethod::all()))
{
declare.time(300.0);
const cv::Size size = GET_PARAM(0);
const cv::Size templ_size = GET_PARAM(1);
const int cn = GET_PARAM(2);
const int method = GET_PARAM(3);
cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
declare.in(image, templ, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_image(image);
const cv::gpu::GpuMat d_templ(templ);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::matchTemplate(d_image, d_templ, dst, method);
GPU_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
CPU_SANITY_CHECK(dst);
}
};
////////////////////////////////////////////////////////////////////////////////
// MatchTemplate32F
PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
GPU_CHANNELS_1_3_4,
Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
{
declare.time(300.0);
const cv::Size size = GET_PARAM(0);
const cv::Size templ_size = GET_PARAM(1);
const int cn = GET_PARAM(2);
int method = GET_PARAM(3);
cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
declare.in(image, templ, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_image(image);
const cv::gpu::GpuMat d_templ(templ);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::matchTemplate(d_image, d_templ, dst, method);
GPU_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
CPU_SANITY_CHECK(dst);
}
}