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Merge pull request #431 from snosov1:matchTemplate-tegra

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This commit is contained in:
Andrey Kamaev 2013-02-05 14:50:15 +04:00 committed by OpenCV Buildbot
commit 53e77ed468
2 changed files with 86 additions and 0 deletions
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81
modules/imgproc/perf/perf_matchTemplate.cpp Normal file
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@ -0,0 +1,81 @@
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
CV_ENUM(MethodType, CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCORR, CV_TM_CCORR_NORMED, CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)
typedef std::tr1::tuple<Size, Size, MethodType> ImgSize_TmplSize_Method_t;
typedef perf::TestBaseWithParam<ImgSize_TmplSize_Method_t> ImgSize_TmplSize_Method;
PERF_TEST_P(ImgSize_TmplSize_Method, matchTemplateSmall,
testing::Combine(
testing::Values(szSmall128, cv::Size(320, 240),
cv::Size(640, 480), cv::Size(800, 600),
cv::Size(1024, 768), cv::Size(1280, 1024)),
testing::Values(cv::Size(12, 12), cv::Size(28, 9),
cv::Size(8, 30), cv::Size(16, 16)),
testing::ValuesIn(MethodType::all())
)
)
{
Size imgSz = get<0>(GetParam());
Size tmplSz = get<1>(GetParam());
int method = get<2>(GetParam());
Mat img(imgSz, CV_8UC1);
Mat tmpl(tmplSz, CV_8UC1);
Mat result(imgSz - tmplSz + Size(1,1), CV_32F);
declare
.in(img, WARMUP_RNG)
.in(tmpl, WARMUP_RNG)
.out(result);
TEST_CYCLE() matchTemplate(img, tmpl, result, method);
bool isNormed =
method == CV_TM_CCORR_NORMED ||
method == CV_TM_SQDIFF_NORMED ||
method == CV_TM_CCOEFF_NORMED;
double eps = isNormed ? 1e-6
: 255 * 255 * tmpl.total() * 1e-6;
SANITY_CHECK(result, eps);
}
PERF_TEST_P(ImgSize_TmplSize_Method, matchTemplateBig,
testing::Combine(
testing::Values(cv::Size(1280, 1024)),
testing::Values(cv::Size(1260, 1000), cv::Size(1261, 1013)),
testing::ValuesIn(MethodType::all())
)
)
{
Size imgSz = get<0>(GetParam());
Size tmplSz = get<1>(GetParam());
int method = get<2>(GetParam());
Mat img(imgSz, CV_8UC1);
Mat tmpl(tmplSz, CV_8UC1);
Mat result(imgSz - tmplSz + Size(1,1), CV_32F);
declare
.in(img, WARMUP_RNG)
.in(tmpl, WARMUP_RNG)
.out(result);
TEST_CYCLE() matchTemplate(img, tmpl, result, method);
bool isNormed =
method == CV_TM_CCORR_NORMED ||
method == CV_TM_SQDIFF_NORMED ||
method == CV_TM_CCOEFF_NORMED;
double eps = isNormed ? 1e-6
: 255 * 255 * tmpl.total() * 1e-6;
SANITY_CHECK(result, eps);
}

5
modules/imgproc/src/templmatch.cpp
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@ -252,6 +252,11 @@ void cv::matchTemplate( InputArray _img, InputArray _templ, OutputArray _result,
_result.create(corrSize, CV_32F);
Mat result = _result.getMat();
#ifdef HAVE_TEGRA_OPTIMIZATION
if (tegra::matchTemplate(img, templ, result, method))
return;
#endif
int cn = img.channels();
crossCorr( img, templ, result, result.size(), result.type(), Point(0,0), 0, 0);