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ocl: compare with scalar

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This commit is contained in:
Alexander Alekhin 2014-03-13 20:36:23 +04:00
parent c72a0a1295
commit 755ca4b7cf
6 changed files with 159 additions and 55 deletions
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2
modules/core/include/opencv2/core/mat.hpp
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@ -135,7 +135,7 @@ public:
bool isUMat() const;
bool isMatVector() const;
bool isUMatVector() const;
bool isMatx();
bool isMatx() const;
virtual ~_InputArray();

2
modules/core/include/opencv2/core/mat.inl.hpp
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@ -112,7 +112,7 @@ inline bool _InputArray::isMat() const { return kind() == _InputArray::MAT; }
inline bool _InputArray::isUMat() const { return kind() == _InputArray::UMAT; }
inline bool _InputArray::isMatVector() const { return kind() == _InputArray::STD_VECTOR_MAT; }
inline bool _InputArray::isUMatVector() const { return kind() == _InputArray::STD_VECTOR_UMAT; }
inline bool _InputArray::isMatx() { return kind() == _InputArray::MATX; }
inline bool _InputArray::isMatx() const { return kind() == _InputArray::MATX; }
////////////////////////////////////////////////////////////////////////////////////////

23
modules/core/perf/opencl/perf_arithm.cpp
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@ -540,7 +540,7 @@ typedef TestBaseWithParam<CompareParams> CompareFixture;
OCL_PERF_TEST_P(CompareFixture, Compare,
::testing::Combine(OCL_TEST_SIZES,
OCL_TEST_TYPES, CmpCode::all()))
OCL_TEST_TYPES_134, CmpCode::all()))
{
const CompareParams params = GetParam();
const Size srcSize = get<0>(params);
@ -549,7 +549,7 @@ OCL_PERF_TEST_P(CompareFixture, Compare,
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, CV_8UC1);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, CV_8UC(CV_MAT_CN(type)));
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::compare(src1, src2, dst, cmpCode);
@ -557,6 +557,25 @@ OCL_PERF_TEST_P(CompareFixture, Compare,
SANITY_CHECK(dst);
}
OCL_PERF_TEST_P(CompareFixture, CompareScalar,
::testing::Combine(OCL_TEST_SIZES,
OCL_TEST_TYPES_134, CmpCode::all()))
{
const CompareParams params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
const int cmpCode = get<2>(params);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src1(srcSize, type), dst(srcSize, CV_8UC(CV_MAT_CN(type)));
declare.in(src1, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::compare(src1, 32, dst, cmpCode);
SANITY_CHECK(dst);
}
///////////// pow ////////////////////////
typedef Size_MatType PowFixture;

130
modules/core/src/arithm.cpp
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@ -2617,44 +2617,83 @@ 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())) )
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)
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;
int kercn = ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst);
int scalarcn = kercn == 3 ? 4 : kercn;
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%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], doubleSupport ? " -D DOUBLE_SUPPORT" : "",
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());
_dst.create(size, CV_8UC(cn));
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 +2708,29 @@ 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 +2745,6 @@ 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));

2
modules/core/src/opencl/arithm.cl
View File

@ -281,7 +281,7 @@
#elif defined OP_CMP
#define srcT2 srcT1
#define convertToWT1
#define PROCESS_ELEM storedst(convertToDT(srcelem1 CMP_OPERATOR srcelem2 ? (dstT)(255) : (dstT)(0)))
#define PROCESS_ELEM storedst((dstT)(srcelem1 CMP_OPERATOR srcelem2 ? (dstT)(255) : (dstT)(0)))
#elif defined OP_CONVERT_SCALE_ABS
#undef EXTRA_PARAMS

55
modules/core/test/ocl/test_arithm.cpp
View File

@ -119,6 +119,7 @@ PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
int cn;
bool use_roi;
cv::Scalar val;
cv::Scalar val_in_range;
TEST_DECLARE_INPUT_PARAMETER(src1)
TEST_DECLARE_INPUT_PARAMETER(src2)
@ -137,12 +138,15 @@ PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
{
const int type = CV_MAKE_TYPE(depth, cn);
double minV = getMinVal(type);
double maxV = getMaxVal(type);
Size roiSize = randomSize(1, MAX_VALUE);
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, src1Border, type, 2, 11);
randomSubMat(src1, src1_roi, roiSize, src1Border, type, minV, maxV);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, type, -1540, 1740);
randomSubMat(src2, src2_roi, roiSize, src2Border, type, std::max(-1540., minV), std::min(1740., maxV));
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type, 5, 16);
@ -157,6 +161,9 @@ PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
val_in_range = cv::Scalar(rng.uniform(minV, maxV), rng.uniform(minV, maxV),
rng.uniform(minV, maxV), rng.uniform(minV, maxV));
UMAT_UPLOAD_INPUT_PARAMETER(src1)
UMAT_UPLOAD_INPUT_PARAMETER(src2)
UMAT_UPLOAD_INPUT_PARAMETER(mask)
@ -750,12 +757,15 @@ OCL_TEST_P(Bitwise_not, Mat)
typedef ArithmTestBase Compare;
static const int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE };
static const char* cmp_strs[] = { "CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE" };
static const int cmp_num = sizeof(cmp_codes) / sizeof(int);
OCL_TEST_P(Compare, Mat)
{
int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE };
int cmp_num = sizeof(cmp_codes) / sizeof(int);
for (int i = 0; i < cmp_num; ++i)
{
SCOPED_TRACE(cmp_strs[i]);
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
@ -765,6 +775,41 @@ OCL_TEST_P(Compare, Mat)
Near(0);
}
}
}
OCL_TEST_P(Compare, Scalar)
{
for (int i = 0; i < cmp_num; ++i)
{
SCOPED_TRACE(cmp_strs[i]);
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::compare(src1_roi, val_in_range, dst1_roi, cmp_codes[i]));
OCL_ON(cv::compare(usrc1_roi, val_in_range, udst1_roi, cmp_codes[i]));
Near(0);
}
}
}
OCL_TEST_P(Compare, Scalar2)
{
for (int i = 0; i < cmp_num; ++i)
{
SCOPED_TRACE(cmp_strs[i]);
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::compare(val_in_range, src1_roi, dst1_roi, cmp_codes[i]));
OCL_ON(cv::compare(val_in_range, usrc1_roi, udst1_roi, cmp_codes[i]));
Near(0);
}
}
}
//////////////////////////////// Pow /////////////////////////////////////////////////