Merge pull request #2479 from alalek:ocl_compare_scalar
This commit is contained in:
@@ -2617,44 +2617,90 @@ static double getMaxVal(int depth)
|
||||
|
||||
#ifdef HAVE_OPENCL
|
||||
|
||||
static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, int op)
|
||||
static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, int op, bool haveScalar)
|
||||
{
|
||||
if ( !((_src1.isMat() || _src1.isUMat()) && (_src2.isMat() || _src2.isUMat())) )
|
||||
const ocl::Device& dev = ocl::Device::getDefault();
|
||||
bool doubleSupport = dev.doubleFPConfig() > 0;
|
||||
int type1 = _src1.type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1);
|
||||
int type2 = _src2.type();
|
||||
|
||||
if (!haveScalar)
|
||||
{
|
||||
if ( (!doubleSupport && (depth1 == CV_64F || _src2.depth() == CV_64F)) ||
|
||||
!_src1.sameSize(_src2) || type1 != type2)
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
if (cn > 1 || depth1 <= CV_32S) // FIXIT: if (cn > 4): Need to clear CPU-based compare behavior
|
||||
return false;
|
||||
}
|
||||
|
||||
if (!doubleSupport && depth1 == CV_64F)
|
||||
return false;
|
||||
|
||||
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
|
||||
int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), type2 = _src2.type();
|
||||
if ( (!doubleSupport && (depth == CV_64F || _src2.depth() == CV_64F)) ||
|
||||
!_src1.sameSize(_src2) || type != type2)
|
||||
return false;
|
||||
int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
|
||||
// Workaround for bug with "?:" operator in AMD OpenCL compiler
|
||||
bool workaroundForAMD = /*dev.isAMD() &&*/
|
||||
(
|
||||
(depth1 != CV_8U && depth1 != CV_8S)
|
||||
);
|
||||
if (workaroundForAMD)
|
||||
kercn = 1;
|
||||
|
||||
int scalarcn = kercn == 3 ? 4 : kercn;
|
||||
|
||||
int kercn = ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
|
||||
const char * const operationMap[] = { "==", ">", ">=", "<", "<=", "!=" };
|
||||
char cvt[40];
|
||||
|
||||
ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
|
||||
format("-D BINARY_OP -D srcT1=%s -D dstT=%s -D workT=srcT1 -D cn=%d"
|
||||
" -D convertToDT=%s -D OP_CMP -D CMP_OPERATOR=%s%s -D srcT1_C1=%s"
|
||||
" -D srcT2_C1=%s -D dstT_C1=%s",
|
||||
ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)),
|
||||
ocl::typeToStr(CV_8UC(kercn)), kercn,
|
||||
ocl::convertTypeStr(depth, CV_8U, kercn, cvt),
|
||||
operationMap[op], doubleSupport ? " -D DOUBLE_SUPPORT" : "",
|
||||
ocl::typeToStr(depth), ocl::typeToStr(depth), ocl::typeToStr(CV_8U)));
|
||||
String buildOptions = format(
|
||||
"-D %s -D srcT1=%s -D dstT=%s -D workT=srcT1 -D cn=%d"
|
||||
" -D convertToDT=%s -D OP_CMP -D CMP_OPERATOR=%s -D srcT1_C1=%s"
|
||||
" -D srcT2_C1=%s -D dstT_C1=%s -D workST=%s%s",
|
||||
(haveScalar ? "UNARY_OP" : "BINARY_OP"),
|
||||
ocl::typeToStr(CV_MAKE_TYPE(depth1, kercn)),
|
||||
ocl::typeToStr(CV_8UC(kercn)), kercn,
|
||||
ocl::convertTypeStr(depth1, CV_8U, kercn, cvt),
|
||||
operationMap[op],
|
||||
ocl::typeToStr(depth1), ocl::typeToStr(depth1), ocl::typeToStr(CV_8U),
|
||||
ocl::typeToStr(CV_MAKE_TYPE(depth1, scalarcn)),
|
||||
doubleSupport ? " -D DOUBLE_SUPPORT" : ""
|
||||
);
|
||||
|
||||
ocl::Kernel k("KF", ocl::core::arithm_oclsrc, buildOptions);
|
||||
if (k.empty())
|
||||
return false;
|
||||
|
||||
CV_Assert(type == type2);
|
||||
UMat src1 = _src1.getUMat(), src2 = _src2.getUMat();
|
||||
UMat src1 = _src1.getUMat();
|
||||
Size size = src1.size();
|
||||
CV_Assert(size == src2.size());
|
||||
|
||||
_dst.create(size, CV_8UC(cn));
|
||||
UMat dst = _dst.getUMat();
|
||||
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src1),
|
||||
ocl::KernelArg::ReadOnlyNoSize(src2),
|
||||
ocl::KernelArg::WriteOnly(dst, cn, kercn));
|
||||
if (haveScalar)
|
||||
{
|
||||
size_t esz = CV_ELEM_SIZE1(type1)*scalarcn;
|
||||
double buf[4]={0,0,0,0};
|
||||
Mat src2sc = _src2.getMat();
|
||||
|
||||
if (!src2sc.empty())
|
||||
convertAndUnrollScalar(src2sc, type1, (uchar*)buf, 1);
|
||||
|
||||
ocl::KernelArg scalararg = ocl::KernelArg(0, 0, 0, 0, buf, esz);
|
||||
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn),
|
||||
ocl::KernelArg::WriteOnly(dst, cn, kercn),
|
||||
scalararg);
|
||||
}
|
||||
else
|
||||
{
|
||||
CV_DbgAssert(type1 == type2);
|
||||
UMat src2 = _src2.getUMat();
|
||||
CV_DbgAssert(size == src2.size());
|
||||
|
||||
k.args(ocl::KernelArg::ReadOnlyNoSize(src1),
|
||||
ocl::KernelArg::ReadOnlyNoSize(src2),
|
||||
ocl::KernelArg::WriteOnly(dst, cn, kercn));
|
||||
}
|
||||
|
||||
size_t globalsize[2] = { dst.cols * cn / kercn, dst.rows };
|
||||
return k.run(2, globalsize, NULL, false);
|
||||
@@ -2669,8 +2715,29 @@ void cv::compare(InputArray _src1, InputArray _src2, OutputArray _dst, int op)
|
||||
CV_Assert( op == CMP_LT || op == CMP_LE || op == CMP_EQ ||
|
||||
op == CMP_NE || op == CMP_GE || op == CMP_GT );
|
||||
|
||||
bool haveScalar = false;
|
||||
|
||||
if ((_src1.isMatx() + _src2.isMatx()) == 1
|
||||
|| !_src1.sameSize(_src2)
|
||||
|| _src1.type() != _src2.type())
|
||||
{
|
||||
if (checkScalar(_src1, _src2.type(), _src1.kind(), _src2.kind()))
|
||||
{
|
||||
op = op == CMP_LT ? CMP_GT : op == CMP_LE ? CMP_GE :
|
||||
op == CMP_GE ? CMP_LE : op == CMP_GT ? CMP_LT : op;
|
||||
// src1 is a scalar; swap it with src2
|
||||
compare(_src2, _src1, _dst, op);
|
||||
return;
|
||||
}
|
||||
else if( !checkScalar(_src2, _src1.type(), _src2.kind(), _src1.kind()) )
|
||||
CV_Error( CV_StsUnmatchedSizes,
|
||||
"The operation is neither 'array op array' (where arrays have the same size and the same type), "
|
||||
"nor 'array op scalar', nor 'scalar op array'" );
|
||||
haveScalar = true;
|
||||
}
|
||||
|
||||
CV_OCL_RUN(_src1.dims() <= 2 && _src2.dims() <= 2 && _dst.isUMat(),
|
||||
ocl_compare(_src1, _src2, _dst, op))
|
||||
ocl_compare(_src1, _src2, _dst, op, haveScalar))
|
||||
|
||||
int kind1 = _src1.kind(), kind2 = _src2.kind();
|
||||
Mat src1 = _src1.getMat(), src2 = _src2.getMat();
|
||||
@@ -2685,26 +2752,6 @@ void cv::compare(InputArray _src1, InputArray _src2, OutputArray _dst, int op)
|
||||
return;
|
||||
}
|
||||
|
||||
bool haveScalar = false;
|
||||
|
||||
if( (kind1 == _InputArray::MATX) + (kind2 == _InputArray::MATX) == 1 ||
|
||||
src1.size != src2.size || src1.type() != src2.type() )
|
||||
{
|
||||
if( checkScalar(src1, src2.type(), kind1, kind2) )
|
||||
{
|
||||
// src1 is a scalar; swap it with src2
|
||||
swap(src1, src2);
|
||||
op = op == CMP_LT ? CMP_GT : op == CMP_LE ? CMP_GE :
|
||||
op == CMP_GE ? CMP_LE : op == CMP_GT ? CMP_LT : op;
|
||||
}
|
||||
else if( !checkScalar(src2, src1.type(), kind2, kind1) )
|
||||
CV_Error( CV_StsUnmatchedSizes,
|
||||
"The operation is neither 'array op array' (where arrays have the same size and the same type), "
|
||||
"nor 'array op scalar', nor 'scalar op array'" );
|
||||
haveScalar = true;
|
||||
}
|
||||
|
||||
|
||||
int cn = src1.channels(), depth1 = src1.depth(), depth2 = src2.depth();
|
||||
|
||||
_dst.create(src1.dims, src1.size, CV_8UC(cn));
|
||||
|
@@ -280,8 +280,13 @@
|
||||
|
||||
#elif defined OP_CMP
|
||||
#define srcT2 srcT1
|
||||
#ifndef convertToWT1
|
||||
#define convertToWT1
|
||||
#define PROCESS_ELEM storedst(convertToDT(srcelem1 CMP_OPERATOR srcelem2 ? (dstT)(255) : (dstT)(0)))
|
||||
#endif
|
||||
#define PROCESS_ELEM \
|
||||
workT __s1 = srcelem1; \
|
||||
workT __s2 = srcelem2; \
|
||||
storedst(((__s1 CMP_OPERATOR __s2) ? (dstT)(255) : (dstT)(0)))
|
||||
|
||||
#elif defined OP_CONVERT_SCALE_ABS
|
||||
#undef EXTRA_PARAMS
|
||||
|
Reference in New Issue
Block a user