Tegra optimization for image filtering

This commit is contained in:
Andrey Pavlenko 2012-01-23 09:16:07 +00:00
parent 88896166cf
commit d0981a628a
3 changed files with 56 additions and 0 deletions

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@ -0,0 +1,45 @@
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using namespace testing;
using std::tr1::make_tuple;
using std::tr1::get;
CV_ENUM(BorderMode, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101);
typedef TestBaseWithParam< tr1::tuple<Size, int, BorderMode> > TestFilter2d;
PERF_TEST_P( TestFilter2d, Filter2d,
Combine(
Values( Size(320, 240), szVGA, sz720p, sz1080p ),
Values( 3, 5 ),
ValuesIn( BorderMode::all() )
)
)
{
Size sz;
int borderMode, kSize;
sz = get<0>(GetParam());
kSize = get<1>(GetParam());
borderMode = get<2>(GetParam());
Mat src(sz, CV_8UC4);
Mat dst(sz, CV_8UC4);
Mat kernel(kSize, kSize, CV_32FC1);
randu(kernel, -3, 10);
float s = fabs( sum(kernel)[0] );
if(s > 1e-3) kernel /= s;
declare.in(src, WARMUP_RNG).out(dst).time(20);
TEST_CYCLE() filter2D(src, dst, CV_8UC4, kernel, Point(1, 1), 0., borderMode);
SANITY_CHECK(dst);
}

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@ -3010,6 +3010,11 @@ void cv::filter2D( InputArray _src, OutputArray _dst, int ddepth,
Mat dst = _dst.getMat();
anchor = normalizeAnchor(anchor, kernel.size());
#ifdef HAVE_TEGRA_OPTIMIZATION
if( tegra::filter2D(src, dst, kernel, anchor, delta, borderType) )
return;
#endif
if( kernel.cols*kernel.rows >= dft_filter_size )
{
Mat temp;

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@ -311,6 +311,12 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
if( src.cols == 1 )
ksize.width = 1;
}
#ifdef HAVE_TEGRA_OPTIMIZATION
if ( tegra::boxFilter(src, dst, ksize, anchor, normalize, borderType) )
return;
#endif
Ptr<FilterEngine> f = createBoxFilter( src.type(), dst.type(),
ksize, anchor, normalize, borderType );
f->apply( src, dst );