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Merge pull request #2251 from ilya-lavrenov:tapi_sqrboxfilter

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This commit is contained in:
Andrey Pavlenko
2014-02-07 11:33:49 +04:00
committed by OpenCV Buildbot
parent 710d51bb41 412468e0ae
commit 4b31b9cb8c
5 changed files with 132 additions and 66 deletions
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25
modules/imgproc/perf/opencl/perf_filters.cpp
View File

@@ -77,6 +77,31 @@ OCL_PERF_TEST_P(BlurFixture, Blur,
SANITY_CHECK(dst, eps);
}
///////////// SqrBoxFilter ////////////////////////
typedef tuple<Size, MatType, Size> SqrBoxFilterParams;
typedef TestBaseWithParam<SqrBoxFilterParams> SqrBoxFilterFixture;
OCL_PERF_TEST_P(SqrBoxFilterFixture, SqrBoxFilter,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
OCL_PERF_ENUM(Size(3, 3), Size(20, 3), Size(3, 20), Size(20, 20))))
{
const SqrBoxFilterParams params = GetParam();
const Size srcSize = get<0>(params), ksize = get<2>(params);
const int type = get<1>(params), depth = CV_MAT_DEPTH(type),
ddepth = depth == CV_8U ? CV_32S : CV_32F;
const double eps = ddepth == CV_32S ? 0 : 5e-5;
checkDeviceMaxMemoryAllocSize(srcSize, CV_MAKE_TYPE(ddepth, CV_MAT_CN(type)));
UMat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::sqrBoxFilter(src, dst, ddepth, ksize, Point(-1, -1), false);
SANITY_CHECK(dst, eps);
}
///////////// Laplacian////////////////////////
typedef FilterFixture LaplacianFixture;

16
modules/imgproc/perf/opencl/perf_imgproc.cpp
View File

@@ -252,22 +252,6 @@ OCL_PERF_TEST_P(CLAHEFixture, CLAHE, OCL_TEST_SIZES)
SANITY_CHECK(dst);
}
///////////// SqrBoxFilter ////////////////////////
typedef TestBaseWithParam<Size> SqrBoxFilterFixture;
OCL_PERF_TEST_P(SqrBoxFilterFixture, SqrBoxFilter, OCL_TEST_SIZES)
{
const Size srcSize = GetParam();
UMat src(srcSize, CV_8UC1), dst(srcSize, CV_32SC1);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::sqrBoxFilter(src, dst, CV_32S, Size(3, 3));
SANITY_CHECK(dst);
}
///////////// Canny ////////////////////////
typedef tuple<int, bool> CannyParams;

14
modules/imgproc/src/opencl/boxFilter.cl
View File

@@ -104,6 +104,12 @@
#define noconvert
#ifdef SQR
#define PROCESS_ELEM(value) (value * value)
#else
#define PROCESS_ELEM(value) value
#endif
struct RectCoords
{
int x1, y1, x2, y2;
@@ -118,7 +124,9 @@ inline WT readSrcPixel(int2 pos, __global const uchar * srcptr, int src_step, co
#endif
{
int src_index = mad24(pos.y, src_step, pos.x * (int)sizeof(ST));
return convertToWT(*(__global const ST *)(srcptr + src_index));
WT value = convertToWT(*(__global const ST *)(srcptr + src_index));
return PROCESS_ELEM(value);
}
else
{
@@ -136,7 +144,9 @@ inline WT readSrcPixel(int2 pos, __global const uchar * srcptr, int src_step, co
srcCoords.x2, srcCoords.y2);
int src_index = mad24(selected_row, src_step, selected_col * (int)sizeof(ST));
return convertToWT(*(__global const ST *)(srcptr + src_index));
WT value = convertToWT(*(__global const ST *)(srcptr + src_index));
return PROCESS_ELEM(value);
#endif
}
}

97
modules/imgproc/src/smooth.cpp
View File

@@ -67,15 +67,18 @@ namespace cv
Box Filter
\****************************************************************************************/
template<typename T, typename ST> struct RowSum : public BaseRowFilter
template<typename T, typename ST>
struct RowSum :
public BaseRowFilter
{
RowSum( int _ksize, int _anchor )
RowSum( int _ksize, int _anchor ) :
BaseRowFilter()
{
ksize = _ksize;
anchor = _anchor;
}
void operator()(const uchar* src, uchar* dst, int width, int cn)
virtual void operator()(const uchar* src, uchar* dst, int width, int cn)
{
const T* S = (const T*)src;
ST* D = (ST*)dst;
@@ -98,9 +101,12 @@ template<typename T, typename ST> struct RowSum : public BaseRowFilter
};
template<typename ST, typename T> struct ColumnSum : public BaseColumnFilter
template<typename ST, typename T>
struct ColumnSum :
public BaseColumnFilter
{
ColumnSum( int _ksize, int _anchor, double _scale )
ColumnSum( int _ksize, int _anchor, double _scale ) :
BaseColumnFilter()
{
ksize = _ksize;
anchor = _anchor;
@@ -108,9 +114,9 @@ template<typename ST, typename T> struct ColumnSum : public BaseColumnFilter
sumCount = 0;
}
void reset() { sumCount = 0; }
virtual void reset() { sumCount = 0; }
void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
virtual void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
{
int i;
ST* SUM;
@@ -198,9 +204,12 @@ template<typename ST, typename T> struct ColumnSum : public BaseColumnFilter
};
template<> struct ColumnSum<int, uchar> : public BaseColumnFilter
template<>
struct ColumnSum<int, uchar> :
public BaseColumnFilter
{
ColumnSum( int _ksize, int _anchor, double _scale )
ColumnSum( int _ksize, int _anchor, double _scale ) :
BaseColumnFilter()
{
ksize = _ksize;
anchor = _anchor;
@@ -208,9 +217,9 @@ template<> struct ColumnSum<int, uchar> : public BaseColumnFilter
sumCount = 0;
}
void reset() { sumCount = 0; }
virtual void reset() { sumCount = 0; }
void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
virtual void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
{
int i;
int* SUM;
@@ -339,9 +348,12 @@ template<> struct ColumnSum<int, uchar> : public BaseColumnFilter
std::vector<int> sum;
};
template<> struct ColumnSum<int, short> : public BaseColumnFilter
template<>
struct ColumnSum<int, short> :
public BaseColumnFilter
{
ColumnSum( int _ksize, int _anchor, double _scale )
ColumnSum( int _ksize, int _anchor, double _scale ) :
BaseColumnFilter()
{
ksize = _ksize;
anchor = _anchor;
@@ -349,9 +361,9 @@ template<> struct ColumnSum<int, short> : public BaseColumnFilter
sumCount = 0;
}
void reset() { sumCount = 0; }
virtual void reset() { sumCount = 0; }
void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
virtual void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
{
int i;
int* SUM;
@@ -477,9 +489,12 @@ template<> struct ColumnSum<int, short> : public BaseColumnFilter
};
template<> struct ColumnSum<int, ushort> : public BaseColumnFilter
template<>
struct ColumnSum<int, ushort> :
public BaseColumnFilter
{
ColumnSum( int _ksize, int _anchor, double _scale )
ColumnSum( int _ksize, int _anchor, double _scale ) :
BaseColumnFilter()
{
ksize = _ksize;
anchor = _anchor;
@@ -487,9 +502,9 @@ template<> struct ColumnSum<int, ushort> : public BaseColumnFilter
sumCount = 0;
}
void reset() { sumCount = 0; }
virtual void reset() { sumCount = 0; }
void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
virtual void operator()(const uchar** src, uchar* dst, int dststep, int count, int width)
{
int i;
int* SUM;
@@ -616,7 +631,7 @@ template<> struct ColumnSum<int, ushort> : public BaseColumnFilter
#define DIVUP(total, grain) ((total + grain - 1) / (grain))
static bool ocl_boxFilter( InputArray _src, OutputArray _dst, int ddepth,
Size ksize, Point anchor, int borderType, bool normalize )
Size ksize, Point anchor, int borderType, bool normalize, bool sqr = false )
{
int type = _src.type(), sdepth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), esz = CV_ELEM_SIZE(type);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
@@ -661,7 +676,7 @@ static bool ocl_boxFilter( InputArray _src, OutputArray _dst, int ddepth,
ocl::Kernel kernel;
for ( ; ; )
{
int BLOCK_SIZE_X = tryWorkItems, BLOCK_SIZE_Y = 8;
int BLOCK_SIZE_X = tryWorkItems, BLOCK_SIZE_Y = std::min(ksize.height * 10, size.height);
while (BLOCK_SIZE_X > 32 && BLOCK_SIZE_X >= ksize.width * 2 && BLOCK_SIZE_X > size.width * 2)
BLOCK_SIZE_X /= 2;
@@ -673,14 +688,14 @@ static bool ocl_boxFilter( InputArray _src, OutputArray _dst, int ddepth,
char cvt[2][50];
String opts = format("-D LOCAL_SIZE_X=%d -D BLOCK_SIZE_Y=%d -D ST=%s -D DT=%s -D WT=%s -D convertToDT=%s -D convertToWT=%s "
"-D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D %s%s%s%s",
"-D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D %s%s%s%s%s",
BLOCK_SIZE_X, BLOCK_SIZE_Y, ocl::typeToStr(type), ocl::typeToStr(CV_MAKE_TYPE(ddepth, cn)),
ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)),
ocl::convertTypeStr(wdepth, ddepth, cn, cvt[0]),
ocl::convertTypeStr(sdepth, wdepth, cn, cvt[1]),
anchor.x, anchor.y, ksize.width, ksize.height, borderMap[borderType],
isolated ? " -D BORDER_ISOLATED" : "", doubleSupport ? " -D DOUBLE_SUPPORT" : "",
normalize ? " -D NORMALIZE" : "");
normalize ? " -D NORMALIZE" : "", sqr ? " -D SQR" : "");
localsize[0] = BLOCK_SIZE_X;
globalsize[0] = DIVUP(size.width, BLOCK_SIZE_X - (ksize.width - 1)) * BLOCK_SIZE_X;
@@ -860,15 +875,18 @@ void cv::blur( InputArray src, OutputArray dst,
namespace cv
{
template<typename T, typename ST> struct SqrRowSum : public BaseRowFilter
template<typename T, typename ST>
struct SqrRowSum :
public BaseRowFilter
{
SqrRowSum( int _ksize, int _anchor )
SqrRowSum( int _ksize, int _anchor ) :
BaseRowFilter()
{
ksize = _ksize;
anchor = _anchor;
}
void operator()(const uchar* src, uchar* dst, int width, int cn)
virtual void operator()(const uchar* src, uchar* dst, int width, int cn)
{
const T* S = (const T*)src;
ST* D = (ST*)dst;
@@ -928,26 +946,31 @@ void cv::sqrBoxFilter( InputArray _src, OutputArray _dst, int ddepth,
Size ksize, Point anchor,
bool normalize, int borderType )
{
Mat src = _src.getMat();
int sdepth = src.depth(), cn = src.channels();
int srcType = _src.type(), sdepth = CV_MAT_DEPTH(srcType), cn = CV_MAT_CN(srcType);
Size size = _src.size();
if( ddepth < 0 )
ddepth = sdepth < CV_32F ? CV_32F : CV_64F;
_dst.create( src.size(), CV_MAKETYPE(ddepth, cn) );
Mat dst = _dst.getMat();
if( borderType != BORDER_CONSTANT && normalize )
{
if( src.rows == 1 )
if( size.height == 1 )
ksize.height = 1;
if( src.cols == 1 )
if( size.width == 1 )
ksize.width = 1;
}
int sumType = CV_64F;
CV_OCL_RUN(_dst.isUMat() && _src.dims() <= 2,
ocl_boxFilter(_src, _dst, ddepth, ksize, anchor, borderType, normalize, true))
int sumDepth = CV_64F;
if( sdepth == CV_8U )
sumType = CV_32S;
sumType = CV_MAKETYPE( sumType, cn );
int srcType = CV_MAKETYPE(sdepth, cn);
int dstType = CV_MAKETYPE(ddepth, cn);
sumDepth = CV_32S;
int sumType = CV_MAKETYPE( sumDepth, cn ), dstType = CV_MAKETYPE(ddepth, cn);
Mat src = _src.getMat();
_dst.create( size, dstType );
Mat dst = _dst.getMat();
Ptr<BaseRowFilter> rowFilter = getSqrRowSumFilter(srcType, sumType, ksize.width, anchor.x );
Ptr<BaseColumnFilter> columnFilter = getColumnSumFilter(sumType,

46
modules/imgproc/test/ocl/test_boxfilter.cpp
View File

@@ -49,23 +49,16 @@
namespace cvtest {
namespace ocl {
enum
{
noType = -1
};
////////////////////////////////////////// boxFilter ///////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////////////
// boxFilter
PARAM_TEST_CASE(BoxFilter, MatDepth, Channels, BorderType, bool, bool)
PARAM_TEST_CASE(BoxFilterBase, MatDepth, Channels, BorderType, bool, bool)
{
static const int kernelMinSize = 2;
static const int kernelMaxSize = 10;
int depth, cn;
Size ksize;
Size dsize;
int depth, cn, borderType;
Size ksize, dsize;
Point anchor;
int borderType;
bool normalize, useRoi;
TEST_DECLARE_INPUT_PARAMETER(src)
@@ -106,6 +99,8 @@ PARAM_TEST_CASE(BoxFilter, MatDepth, Channels, BorderType, bool, bool)
}
};
typedef BoxFilterBase BoxFilter;
OCL_TEST_P(BoxFilter, Mat)
{
for (int j = 0; j < test_loop_times; j++)
@@ -119,6 +114,22 @@ OCL_TEST_P(BoxFilter, Mat)
}
}
typedef BoxFilterBase SqrBoxFilter;
OCL_TEST_P(SqrBoxFilter, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
random_roi();
int ddepth = depth == CV_8U ? CV_32S : CV_64F;
OCL_OFF(cv::sqrBoxFilter(src_roi, dst_roi, ddepth, ksize, anchor, normalize, borderType));
OCL_ON(cv::sqrBoxFilter(usrc_roi, udst_roi, ddepth, ksize, anchor, normalize, borderType));
Near(depth <= CV_32S ? 1 : 7e-2);
}
}
OCL_INSTANTIATE_TEST_CASE_P(ImageProc, BoxFilter,
Combine(
@@ -133,6 +144,19 @@ OCL_INSTANTIATE_TEST_CASE_P(ImageProc, BoxFilter,
)
);
OCL_INSTANTIATE_TEST_CASE_P(ImageProc, SqrBoxFilter,
Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 4),
Values((BorderType)BORDER_CONSTANT,
(BorderType)BORDER_REPLICATE,
(BorderType)BORDER_REFLECT,
(BorderType)BORDER_REFLECT_101),
Bool(),
Bool() // ROI
)
);
} } // namespace cvtest::ocl