generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

multiple rows in KF kernel

Browse Source
This commit is contained in:
Ilya Lavrenov
2014-05-14 15:42:30 +04:00
parent 5ee398bfd6
commit 15738bf7ef
6 changed files with 124 additions and 88 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
modules/core/src/convert.cpp
View File

@@ -1357,9 +1357,10 @@ static BinaryFunc getConvertScaleFunc(int sdepth, int ddepth)
static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta )
{
const ocl::Device & d = ocl::Device::getDefault();
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
kercn = ocl::predictOptimalVectorWidth(_src, _dst);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
kercn = ocl::predictOptimalVectorWidth(_src, _dst), rowsPerWI = d.isIntel() ? 4 : 1;
bool doubleSupport = d.doubleFPConfig() > 0;
if (!doubleSupport && depth == CV_64F)
return false;
@@ -1368,13 +1369,14 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
int wdepth = std::max(depth, CV_32F);
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D srcT1=%s"
" -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s -D workT1=%s%s",
" -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s"
" -D workT1=%s -D rowsPerWI=%d%s",
ocl::typeToStr(CV_8UC(kercn)),
ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)),
ocl::typeToStr(CV_MAKE_TYPE(wdepth, kercn)), wdepth,
ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]),
ocl::convertTypeStr(wdepth, CV_8U, kercn, cvt[1]),
ocl::typeToStr(wdepth),
ocl::typeToStr(wdepth), rowsPerWI,
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
if (k.empty())
return false;
@@ -1391,7 +1393,7 @@ static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha
else if (wdepth == CV_64F)
k.args(srcarg, dstarg, alpha, beta);
size_t globalsize[2] = { src.cols * cn / kercn, src.rows };
size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, NULL, false);
}