compare with scalar (cn > 1)

pull/2552/head
Ilya Lavrenov 11 years ago
parent d6b54ff9d1
commit 322b15a459
  1. 86
      modules/core/src/arithm.cpp

@ -2618,53 +2618,38 @@ static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, in
{ {
const ocl::Device& dev = ocl::Device::getDefault(); const ocl::Device& dev = ocl::Device::getDefault();
bool doubleSupport = dev.doubleFPConfig() > 0; bool doubleSupport = dev.doubleFPConfig() > 0;
int type1 = _src1.type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1); int type1 = _src1.type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1),
int type2 = _src2.type(); type2 = _src2.type(), depth2 = CV_MAT_DEPTH(type2);
if (!haveScalar) if (!haveScalar)
{ {
if ( (!doubleSupport && (depth1 == CV_64F || _src2.depth() == CV_64F)) || if ( (!doubleSupport && depth1 == CV_64F) ||
!_src1.sameSize(_src2) || type1 != type2) !_src1.sameSize(_src2) || type1 != type2)
return false; 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;
int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst); int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
// Workaround for bug with "?:" operator in AMD OpenCL compiler // Workaround for bug with "?:" operator in AMD OpenCL compiler
bool workaroundForAMD = /*dev.isAMD() &&*/ if (depth1 >= CV_16U)
(
(depth1 != CV_8U && depth1 != CV_8S)
);
if (workaroundForAMD)
kercn = 1; kercn = 1;
int scalarcn = kercn == 3 ? 4 : kercn; int scalarcn = kercn == 3 ? 4 : kercn;
const char * const operationMap[] = { "==", ">", ">=", "<", "<=", "!=" }; const char * const operationMap[] = { "==", ">", ">=", "<", "<=", "!=" };
char cvt[40]; char cvt[40];
String buildOptions = format( String opts = format("-D %s -D srcT1=%s -D dstT=%s -D workT=srcT1 -D cn=%d"
"-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 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",
" -D srcT2_C1=%s -D dstT_C1=%s -D workST=%s%s", haveScalar ? "UNARY_OP" : "BINARY_OP",
(haveScalar ? "UNARY_OP" : "BINARY_OP"), ocl::typeToStr(CV_MAKE_TYPE(depth1, kercn)),
ocl::typeToStr(CV_MAKE_TYPE(depth1, kercn)), ocl::typeToStr(CV_8UC(kercn)), kercn,
ocl::typeToStr(CV_8UC(kercn)), kercn, ocl::convertTypeStr(depth1, CV_8U, kercn, cvt),
ocl::convertTypeStr(depth1, CV_8U, kercn, cvt), operationMap[op], ocl::typeToStr(depth1),
operationMap[op], ocl::typeToStr(depth1), ocl::typeToStr(CV_8U),
ocl::typeToStr(depth1), ocl::typeToStr(depth1), ocl::typeToStr(CV_8U), ocl::typeToStr(CV_MAKE_TYPE(depth1, scalarcn)),
ocl::typeToStr(CV_MAKE_TYPE(depth1, scalarcn)), doubleSupport ? " -D DOUBLE_SUPPORT" : "");
doubleSupport ? " -D DOUBLE_SUPPORT" : ""
); ocl::Kernel k("KF", ocl::core::arithm_oclsrc, opts);
ocl::Kernel k("KF", ocl::core::arithm_oclsrc, buildOptions);
if (k.empty()) if (k.empty())
return false; return false;
@ -2675,24 +2660,43 @@ static bool ocl_compare(InputArray _src1, InputArray _src2, OutputArray _dst, in
if (haveScalar) if (haveScalar)
{ {
size_t esz = CV_ELEM_SIZE1(type1)*scalarcn; size_t esz = CV_ELEM_SIZE1(type1) * scalarcn;
double buf[4]={0,0,0,0}; double buf[4] = { 0, 0, 0, 0 };
Mat src2sc = _src2.getMat(); Mat src2 = _src2.getMat();
if (!src2sc.empty()) if( depth1 > CV_32S )
convertAndUnrollScalar(src2sc, type1, (uchar*)buf, 1); convertAndUnrollScalar( src2, depth1, (uchar *)buf, kercn );
else
{
double fval = 0;
getConvertFunc(depth2, CV_64F)(src2.data, 0, 0, 0, (uchar *)&fval, 0, Size(1, 1), 0);
if( fval < getMinVal(depth1) )
return dst.setTo(Scalar::all(op == CMP_GT || op == CMP_GE || op == CMP_NE ? 255 : 0)), true;
if( fval > getMaxVal(depth1) )
return dst.setTo(Scalar::all(op == CMP_LT || op == CMP_LE || op == CMP_NE ? 255 : 0)), true;
int ival = cvRound(fval);
if( fval != ival )
{
if( op == CMP_LT || op == CMP_GE )
ival = cvCeil(fval);
else if( op == CMP_LE || op == CMP_GT )
ival = cvFloor(fval);
else
return dst.setTo(Scalar::all(op == CMP_NE ? 255 : 0)), true;
}
convertAndUnrollScalar(Mat(1, 1, CV_32S, &ival), depth1, (uchar *)buf, kercn);
}
ocl::KernelArg scalararg = ocl::KernelArg(0, 0, 0, 0, buf, esz); ocl::KernelArg scalararg = ocl::KernelArg(0, 0, 0, 0, buf, esz);
k.args(ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn), k.args(ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn),
ocl::KernelArg::WriteOnly(dst, cn, kercn), ocl::KernelArg::WriteOnly(dst, cn, kercn), scalararg);
scalararg);
} }
else else
{ {
CV_DbgAssert(type1 == type2);
UMat src2 = _src2.getUMat(); UMat src2 = _src2.getUMat();
CV_DbgAssert(size == src2.size());
k.args(ocl::KernelArg::ReadOnlyNoSize(src1), k.args(ocl::KernelArg::ReadOnlyNoSize(src1),
ocl::KernelArg::ReadOnlyNoSize(src2), ocl::KernelArg::ReadOnlyNoSize(src2),

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