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Commit ef9917ec authored by Vladislav Vinogradov's avatar Vladislav Vinogradov
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used new device layer for cv::gpu::compare

parent 43e81111
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modules/cudaarithm/src/cuda/cmp_mat.cu
View file @ ef9917ec
......@@ -40,30 +40,54 @@
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/opencv_modules.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/simd_functions.hpp"
#ifndef HAVE_OPENCV_CUDEV
#include "arithm_func_traits.hpp"
#error "opencv_cudev is required"
using namespace cv::cuda;
using namespace cv::cuda::device;
#else
namespace arithm
#include "opencv2/cudev.hpp"
using namespace cv::cudev;
void cmpMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop);
namespace
{
template <class Op, typename T> struct CmpOp : binary_function<T, T, uchar>
{
__device__ __forceinline__ uchar operator()(T a, T b) const
{
Op op;
return -op(a, b);
}
};
template <typename ScalarDepth> struct TransformPolicy : DefaultTransformPolicy
{
};
template <> struct TransformPolicy<double> : DefaultTransformPolicy
{
enum {
shift = 1
};
};
template <template <typename> class Op, typename T>
void cmpMat_v1(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
CmpOp<Op<T>, T> op;
gridTransformBinary_< TransformPolicy<T> >(globPtr<T>(src1), globPtr<T>(src2), globPtr<uchar>(dst), op, stream);
}
struct VCmpEq4 : binary_function<uint, uint, uint>
{
__device__ __forceinline__ uint operator ()(uint a, uint b) const
{
return vcmpeq4(a, b);
}
__host__ __device__ __forceinline__ VCmpEq4() {}
__host__ __device__ __forceinline__ VCmpEq4(const VCmpEq4&) {}
};
struct VCmpNe4 : binary_function<uint, uint, uint>
{
......@@ -71,9 +95,6 @@ namespace arithm
{
return vcmpne4(a, b);
}
__host__ __device__ __forceinline__ VCmpNe4() {}
__host__ __device__ __forceinline__ VCmpNe4(const VCmpNe4&) {}
};
struct VCmpLt4 : binary_function<uint, uint, uint>
{
......@@ -81,9 +102,6 @@ namespace arithm
{
return vcmplt4(a, b);
}
__host__ __device__ __forceinline__ VCmpLt4() {}
__host__ __device__ __forceinline__ VCmpLt4(const VCmpLt4&) {}
};
struct VCmpLe4 : binary_function<uint, uint, uint>
{
......@@ -91,116 +109,111 @@ namespace arithm
{
return vcmple4(a, b);
}
__host__ __device__ __forceinline__ VCmpLe4() {}
__host__ __device__ __forceinline__ VCmpLe4(const VCmpLe4&) {}
};
template <class Op, typename T>
struct Cmp : binary_function<T, T, uchar>
{
__device__ __forceinline__ uchar operator()(T a, T b) const
{
Op op;
return -op(a, b);
}
};
}
namespace cv { namespace cuda { namespace device
{
template <> struct TransformFunctorTraits< arithm::VCmpEq4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
};
template <> struct TransformFunctorTraits< arithm::VCmpNe4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
};
template <> struct TransformFunctorTraits< arithm::VCmpLt4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
{
};
template <> struct TransformFunctorTraits< arithm::VCmpLe4 > : arithm::ArithmFuncTraits<sizeof(uint), sizeof(uint)>
void cmpMatEq_v4(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
};
const int vcols = src1.cols >> 2;
template <class Op, typename T> struct TransformFunctorTraits< arithm::Cmp<Op, T> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(uchar)>
{
};
}}}
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
namespace arithm
{
void cmpMatEq_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
{
device::transform(src1, src2, dst, VCmpEq4(), WithOutMask(), stream);
gridTransformBinary(src1_, src2_, dst_, VCmpEq4(), stream);
}
void cmpMatNe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
void cmpMatNe_v4(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
device::transform(src1, src2, dst, VCmpNe4(), WithOutMask(), stream);
const int vcols = src1.cols >> 2;
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
gridTransformBinary(src1_, src2_, dst_, VCmpNe4(), stream);
}
void cmpMatLt_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
void cmpMatLt_v4(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
device::transform(src1, src2, dst, VCmpLt4(), WithOutMask(), stream);
const int vcols = src1.cols >> 2;
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
gridTransformBinary(src1_, src2_, dst_, VCmpLt4(), stream);
}
void cmpMatLe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream)
void cmpMatLe_v4(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
device::transform(src1, src2, dst, VCmpLe4(), WithOutMask(), stream);
const int vcols = src1.cols >> 2;
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
gridTransformBinary(src1_, src2_, dst_, VCmpLe4(), stream);
}
}
template <template <typename> class Op, typename T>
void cmpMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
void cmpMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop)
{
typedef void (*func_t)(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream);
static const func_t funcs[7][4] =
{
{cmpMat_v1<equal_to, uchar> , cmpMat_v1<not_equal_to, uchar> , cmpMat_v1<less, uchar> , cmpMat_v1<less_equal, uchar> },
{cmpMat_v1<equal_to, schar> , cmpMat_v1<not_equal_to, schar> , cmpMat_v1<less, schar> , cmpMat_v1<less_equal, schar> },
{cmpMat_v1<equal_to, ushort>, cmpMat_v1<not_equal_to, ushort>, cmpMat_v1<less, ushort>, cmpMat_v1<less_equal, ushort>},
{cmpMat_v1<equal_to, short> , cmpMat_v1<not_equal_to, short> , cmpMat_v1<less, short> , cmpMat_v1<less_equal, short> },
{cmpMat_v1<equal_to, int> , cmpMat_v1<not_equal_to, int> , cmpMat_v1<less, int> , cmpMat_v1<less_equal, int> },
{cmpMat_v1<equal_to, float> , cmpMat_v1<not_equal_to, float> , cmpMat_v1<less, float> , cmpMat_v1<less_equal, float> },
{cmpMat_v1<equal_to, double>, cmpMat_v1<not_equal_to, double>, cmpMat_v1<less, double>, cmpMat_v1<less_equal, double>}
};
typedef void (*func_v4_t)(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream);
static const func_v4_t funcs_v4[] =
{
Cmp<Op<T>, T> op;
device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) src2, dst, op, WithOutMask(), stream);
}
cmpMatEq_v4, cmpMatNe_v4, cmpMatLt_v4, cmpMatLe_v4
};
const int depth = src1.depth();
template <typename T> void cmpMatEq(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
CV_DbgAssert( depth <= CV_64F );
static const int codes[] =
{
cmpMat<equal_to, T>(src1, src2, dst, stream);
}
template <typename T> void cmpMatNe(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
0, 2, 3, 2, 3, 1
};
const GpuMat* psrc1[] =
{
cmpMat<not_equal_to, T>(src1, src2, dst, stream);
}
template <typename T> void cmpMatLt(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
&src1, &src2, &src2, &src1, &src1, &src1
};
const GpuMat* psrc2[] =
{
cmpMat<less, T>(src1, src2, dst, stream);
}
template <typename T> void cmpMatLe(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream)
&src2, &src1, &src1, &src2, &src2, &src2
};
const int code = codes[cmpop];
GpuMat src1_ = psrc1[cmpop]->reshape(1);
GpuMat src2_ = psrc2[cmpop]->reshape(1);
GpuMat dst_ = dst.reshape(1);
if (depth == CV_8U && (src1_.cols & 3) == 0)
{
cmpMat<less_equal, T>(src1, src2, dst, stream);
const intptr_t src1ptr = reinterpret_cast<intptr_t>(src1_.data);
const intptr_t src2ptr = reinterpret_cast<intptr_t>(src2_.data);
const intptr_t dstptr = reinterpret_cast<intptr_t>(dst_.data);
const bool isAllAligned = (src1ptr & 31) == 0 && (src2ptr & 31) == 0 && (dstptr & 31) == 0;
if (isAllAligned)
{
funcs_v4[code](src1_, src2_, dst_, stream);
return;
}
}
template void cmpMatEq<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<schar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<ushort>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<short >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<int >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<float >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatEq<double>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<schar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<ushort>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<short >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<int >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<float >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatNe<double>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<schar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<ushort>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<short >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<int >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<float >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLt<double>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<uchar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<schar >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<ushort>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<short >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<int >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<float >(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template void cmpMatLe<double>(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
const func_t func = funcs[depth][code];
func(src1_, src2_, dst_, stream);
}
#endif // CUDA_DISABLER
#endif
modules/cudaarithm/src/cuda/cmp_scalar.cu
View file @ ef9917ec
......@@ -40,24 +40,23 @@
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/opencv_modules.hpp"
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/functional.hpp"
#include "opencv2/core/cuda/transform.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/simd_functions.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#ifndef HAVE_OPENCV_CUDEV
#include "arithm_func_traits.hpp"
#error "opencv_cudev is required"
using namespace cv::cuda;
using namespace cv::cuda::device;
#else
namespace arithm
#include "opencv2/cudev.hpp"
using namespace cv::cudev;
void cmpScalar(const GpuMat& src, cv::Scalar val, bool inv, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop);
namespace
{
template <class Op, typename T>
struct Cmp : binary_function<T, T, uchar>
template <class Op, typename T> struct CmpOp : binary_function<T, T, uchar>
{
__device__ __forceinline__ uchar operator()(T a, T b) const
{
......@@ -66,219 +65,161 @@ namespace arithm
}
};
#define TYPE_VEC(type, cn) typename TypeVec<type, cn>::vec_type
#define MAKE_VEC(_type, _cn) typename MakeVec<_type, _cn>::type
template <class Op, typename T, int cn> struct CmpScalarOp;
template <class Op, typename T, int cn> struct CmpScalar;
template <class Op, typename T>
struct CmpScalar<Op, T, 1> : unary_function<T, uchar>
struct CmpScalarOp<Op, T, 1> : unary_function<T, uchar>
{
T val;
__host__ explicit CmpScalar(T val_) : val(val_) {}
__device__ __forceinline__ uchar operator()(T src) const
{
Cmp<Op, T> op;
CmpOp<Op, T> op;
return op(src, val);
}
};
template <class Op, typename T>
struct CmpScalar<Op, T, 2> : unary_function<TYPE_VEC(T, 2), TYPE_VEC(uchar, 2)>
struct CmpScalarOp<Op, T, 2> : unary_function<MAKE_VEC(T, 2), MAKE_VEC(uchar, 2)>
{
TYPE_VEC(T, 2) val;
MAKE_VEC(T, 2) val;
__host__ explicit CmpScalar(TYPE_VEC(T, 2) val_) : val(val_) {}
__device__ __forceinline__ TYPE_VEC(uchar, 2) operator()(const TYPE_VEC(T, 2) & src) const
__device__ __forceinline__ MAKE_VEC(uchar, 2) operator()(const MAKE_VEC(T, 2) & src) const
{
Cmp<Op, T> op;
return VecTraits<TYPE_VEC(uchar, 2)>::make(op(src.x, val.x), op(src.y, val.y));
CmpOp<Op, T> op;
return VecTraits<MAKE_VEC(uchar, 2)>::make(op(src.x, val.x), op(src.y, val.y));
}
};
template <class Op, typename T>
struct CmpScalar<Op, T, 3> : unary_function<TYPE_VEC(T, 3), TYPE_VEC(uchar, 3)>
struct CmpScalarOp<Op, T, 3> : unary_function<MAKE_VEC(T, 3), MAKE_VEC(uchar, 3)>
{
TYPE_VEC(T, 3) val;
__host__ explicit CmpScalar(TYPE_VEC(T, 3) val_) : val(val_) {}
MAKE_VEC(T, 3) val;
__device__ __forceinline__ TYPE_VEC(uchar, 3) operator()(const TYPE_VEC(T, 3) & src) const
__device__ __forceinline__ MAKE_VEC(uchar, 3) operator()(const MAKE_VEC(T, 3) & src) const
{
Cmp<Op, T> op;
return VecTraits<TYPE_VEC(uchar, 3)>::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z));
CmpOp<Op, T> op;
return VecTraits<MAKE_VEC(uchar, 3)>::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z));
}
};
template <class Op, typename T>
struct CmpScalar<Op, T, 4> : unary_function<TYPE_VEC(T, 4), TYPE_VEC(uchar, 4)>
struct CmpScalarOp<Op, T, 4> : unary_function<MAKE_VEC(T, 4), MAKE_VEC(uchar, 4)>
{
TYPE_VEC(T, 4) val;
__host__ explicit CmpScalar(TYPE_VEC(T, 4) val_) : val(val_) {}
MAKE_VEC(T, 4) val;
__device__ __forceinline__ TYPE_VEC(uchar, 4) operator()(const TYPE_VEC(T, 4) & src) const
__device__ __forceinline__ MAKE_VEC(uchar, 4) operator()(const MAKE_VEC(T, 4) & src) const
{
Cmp<Op, T> op;
return VecTraits<TYPE_VEC(uchar, 4)>::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z), op(src.w, val.w));
CmpOp<Op, T> op;
return VecTraits<MAKE_VEC(uchar, 4)>::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z), op(src.w, val.w));
}
};
#undef TYPE_VEC
}
namespace cv { namespace cuda { namespace device
{
template <class Op, typename T> struct TransformFunctorTraits< arithm::CmpScalar<Op, T, 1> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(uchar)>
template <typename ScalarDepth> struct TransformPolicy : DefaultTransformPolicy
{
};
template <> struct TransformPolicy<double> : DefaultTransformPolicy
{
enum {
shift = 1
};
};
}}}
namespace arithm
{
template <template <typename> class Op, typename T, int cn>
void cmpScalar(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream)
void cmpScalarImpl(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& stream)
{
typedef typename TypeVec<T, cn>::vec_type src_t;
typedef typename TypeVec<uchar, cn>::vec_type dst_t;
typedef typename MakeVec<T, cn>::type src_type;
typedef typename MakeVec<uchar, cn>::type dst_type;
cv::Scalar_<T> value_ = value;
T sval[] = {static_cast<T>(val[0]), static_cast<T>(val[1]), static_cast<T>(val[2]), static_cast<T>(val[3])};
src_t val1 = VecTraits<src_t>::make(sval);
CmpScalarOp<Op<T>, T, cn> op;
op.val = VecTraits<src_type>::make(value_.val);
CmpScalar<Op<T>, T, cn> op(val1);
device::transform((PtrStepSz<src_t>) src, (PtrStepSz<dst_t>) dst, op, WithOutMask(), stream);
gridTransformUnary_< TransformPolicy<T> >(globPtr<src_type>(src), globPtr<dst_type>(dst), op, stream);
}
}
template <typename T> void cmpScalarEq(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
void cmpScalar(const GpuMat& src, cv::Scalar val, bool inv, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop)
{
typedef void (*func_t)(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& stream);
static const func_t funcs[7][6][4] =
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{
0,
cmpScalar<equal_to, T, 1>,
cmpScalar<equal_to, T, 2>,
cmpScalar<equal_to, T, 3>,
cmpScalar<equal_to, T, 4>
};
funcs[cn](src, val, dst, stream);
}
template <typename T> void cmpScalarNe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{cmpScalarImpl<equal_to, uchar, 1>, cmpScalarImpl<equal_to, uchar, 2>, cmpScalarImpl<equal_to, uchar, 3>, cmpScalarImpl<equal_to, uchar, 4>},
{cmpScalarImpl<greater, uchar, 1>, cmpScalarImpl<greater, uchar, 2>, cmpScalarImpl<greater, uchar, 3>, cmpScalarImpl<greater, uchar, 4>},
{cmpScalarImpl<greater_equal, uchar, 1>, cmpScalarImpl<greater_equal, uchar, 2>, cmpScalarImpl<greater_equal, uchar, 3>, cmpScalarImpl<greater_equal, uchar, 4>},
{cmpScalarImpl<less, uchar, 1>, cmpScalarImpl<less, uchar, 2>, cmpScalarImpl<less, uchar, 3>, cmpScalarImpl<less, uchar, 4>},
{cmpScalarImpl<less_equal, uchar, 1>, cmpScalarImpl<less_equal, uchar, 2>, cmpScalarImpl<less_equal, uchar, 3>, cmpScalarImpl<less_equal, uchar, 4>},
{cmpScalarImpl<not_equal_to, uchar, 1>, cmpScalarImpl<not_equal_to, uchar, 2>, cmpScalarImpl<not_equal_to, uchar, 3>, cmpScalarImpl<not_equal_to, uchar, 4>}
},
{
0,
cmpScalar<not_equal_to, T, 1>,
cmpScalar<not_equal_to, T, 2>,
cmpScalar<not_equal_to, T, 3>,
cmpScalar<not_equal_to, T, 4>
};
funcs[cn](src, val, dst, stream);
}
template <typename T> void cmpScalarLt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{cmpScalarImpl<equal_to, schar, 1>, cmpScalarImpl<equal_to, schar, 2>, cmpScalarImpl<equal_to, schar, 3>, cmpScalarImpl<equal_to, schar, 4>},
{cmpScalarImpl<greater, schar, 1>, cmpScalarImpl<greater, schar, 2>, cmpScalarImpl<greater, schar, 3>, cmpScalarImpl<greater, schar, 4>},
{cmpScalarImpl<greater_equal, schar, 1>, cmpScalarImpl<greater_equal, schar, 2>, cmpScalarImpl<greater_equal, schar, 3>, cmpScalarImpl<greater_equal, schar, 4>},
{cmpScalarImpl<less, schar, 1>, cmpScalarImpl<less, schar, 2>, cmpScalarImpl<less, schar, 3>, cmpScalarImpl<less, schar, 4>},
{cmpScalarImpl<less_equal, schar, 1>, cmpScalarImpl<less_equal, schar, 2>, cmpScalarImpl<less_equal, schar, 3>, cmpScalarImpl<less_equal, schar, 4>},
{cmpScalarImpl<not_equal_to, schar, 1>, cmpScalarImpl<not_equal_to, schar, 2>, cmpScalarImpl<not_equal_to, schar, 3>, cmpScalarImpl<not_equal_to, schar, 4>}
},
{
0,
cmpScalar<less, T, 1>,
cmpScalar<less, T, 2>,
cmpScalar<less, T, 3>,
cmpScalar<less, T, 4>
};
funcs[cn](src, val, dst, stream);
}
template <typename T> void cmpScalarLe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{cmpScalarImpl<equal_to, ushort, 1>, cmpScalarImpl<equal_to, ushort, 2>, cmpScalarImpl<equal_to, ushort, 3>, cmpScalarImpl<equal_to, ushort, 4>},
{cmpScalarImpl<greater, ushort, 1>, cmpScalarImpl<greater, ushort, 2>, cmpScalarImpl<greater, ushort, 3>, cmpScalarImpl<greater, ushort, 4>},
{cmpScalarImpl<greater_equal, ushort, 1>, cmpScalarImpl<greater_equal, ushort, 2>, cmpScalarImpl<greater_equal, ushort, 3>, cmpScalarImpl<greater_equal, ushort, 4>},
{cmpScalarImpl<less, ushort, 1>, cmpScalarImpl<less, ushort, 2>, cmpScalarImpl<less, ushort, 3>, cmpScalarImpl<less, ushort, 4>},
{cmpScalarImpl<less_equal, ushort, 1>, cmpScalarImpl<less_equal, ushort, 2>, cmpScalarImpl<less_equal, ushort, 3>, cmpScalarImpl<less_equal, ushort, 4>},
{cmpScalarImpl<not_equal_to, ushort, 1>, cmpScalarImpl<not_equal_to, ushort, 2>, cmpScalarImpl<not_equal_to, ushort, 3>, cmpScalarImpl<not_equal_to, ushort, 4>}
},
{
0,
cmpScalar<less_equal, T, 1>,
cmpScalar<less_equal, T, 2>,
cmpScalar<less_equal, T, 3>,
cmpScalar<less_equal, T, 4>
};
funcs[cn](src, val, dst, stream);
}
template <typename T> void cmpScalarGt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{cmpScalarImpl<equal_to, short, 1>, cmpScalarImpl<equal_to, short, 2>, cmpScalarImpl<equal_to, short, 3>, cmpScalarImpl<equal_to, short, 4>},
{cmpScalarImpl<greater, short, 1>, cmpScalarImpl<greater, short, 2>, cmpScalarImpl<greater, short, 3>, cmpScalarImpl<greater, short, 4>},
{cmpScalarImpl<greater_equal, short, 1>, cmpScalarImpl<greater_equal, short, 2>, cmpScalarImpl<greater_equal, short, 3>, cmpScalarImpl<greater_equal, short, 4>},
{cmpScalarImpl<less, short, 1>, cmpScalarImpl<less, short, 2>, cmpScalarImpl<less, short, 3>, cmpScalarImpl<less, short, 4>},
{cmpScalarImpl<less_equal, short, 1>, cmpScalarImpl<less_equal, short, 2>, cmpScalarImpl<less_equal, short, 3>, cmpScalarImpl<less_equal, short, 4>},
{cmpScalarImpl<not_equal_to, short, 1>, cmpScalarImpl<not_equal_to, short, 2>, cmpScalarImpl<not_equal_to, short, 3>, cmpScalarImpl<not_equal_to, short, 4>}
},
{
0,
cmpScalar<greater, T, 1>,
cmpScalar<greater, T, 2>,
cmpScalar<greater, T, 3>,
cmpScalar<greater, T, 4>
};
funcs[cn](src, val, dst, stream);
}
template <typename T> void cmpScalarGe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb src, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[] =
{cmpScalarImpl<equal_to, int, 1>, cmpScalarImpl<equal_to, int, 2>, cmpScalarImpl<equal_to, int, 3>, cmpScalarImpl<equal_to, int, 4>},
{cmpScalarImpl<greater, int, 1>, cmpScalarImpl<greater, int, 2>, cmpScalarImpl<greater, int, 3>, cmpScalarImpl<greater, int, 4>},
{cmpScalarImpl<greater_equal, int, 1>, cmpScalarImpl<greater_equal, int, 2>, cmpScalarImpl<greater_equal, int, 3>, cmpScalarImpl<greater_equal, int, 4>},
{cmpScalarImpl<less, int, 1>, cmpScalarImpl<less, int, 2>, cmpScalarImpl<less, int, 3>, cmpScalarImpl<less, int, 4>},
{cmpScalarImpl<less_equal, int, 1>, cmpScalarImpl<less_equal, int, 2>, cmpScalarImpl<less_equal, int, 3>, cmpScalarImpl<less_equal, int, 4>},
{cmpScalarImpl<not_equal_to, int, 1>, cmpScalarImpl<not_equal_to, int, 2>, cmpScalarImpl<not_equal_to, int, 3>, cmpScalarImpl<not_equal_to, int, 4>}
},
{
0,
cmpScalar<greater_equal, T, 1>,
cmpScalar<greater_equal, T, 2>,
cmpScalar<greater_equal, T, 3>,
cmpScalar<greater_equal, T, 4>
};
{cmpScalarImpl<equal_to, float, 1>, cmpScalarImpl<equal_to, float, 2>, cmpScalarImpl<equal_to, float, 3>, cmpScalarImpl<equal_to, float, 4>},
{cmpScalarImpl<greater, float, 1>, cmpScalarImpl<greater, float, 2>, cmpScalarImpl<greater, float, 3>, cmpScalarImpl<greater, float, 4>},
{cmpScalarImpl<greater_equal, float, 1>, cmpScalarImpl<greater_equal, float, 2>, cmpScalarImpl<greater_equal, float, 3>, cmpScalarImpl<greater_equal, float, 4>},
{cmpScalarImpl<less, float, 1>, cmpScalarImpl<less, float, 2>, cmpScalarImpl<less, float, 3>, cmpScalarImpl<less, float, 4>},
{cmpScalarImpl<less_equal, float, 1>, cmpScalarImpl<less_equal, float, 2>, cmpScalarImpl<less_equal, float, 3>, cmpScalarImpl<less_equal, float, 4>},
{cmpScalarImpl<not_equal_to, float, 1>, cmpScalarImpl<not_equal_to, float, 2>, cmpScalarImpl<not_equal_to, float, 3>, cmpScalarImpl<not_equal_to, float, 4>}
},
{
{cmpScalarImpl<equal_to, double, 1>, cmpScalarImpl<equal_to, double, 2>, cmpScalarImpl<equal_to, double, 3>, cmpScalarImpl<equal_to, double, 4>},
{cmpScalarImpl<greater, double, 1>, cmpScalarImpl<greater, double, 2>, cmpScalarImpl<greater, double, 3>, cmpScalarImpl<greater, double, 4>},
{cmpScalarImpl<greater_equal, double, 1>, cmpScalarImpl<greater_equal, double, 2>, cmpScalarImpl<greater_equal, double, 3>, cmpScalarImpl<greater_equal, double, 4>},
{cmpScalarImpl<less, double, 1>, cmpScalarImpl<less, double, 2>, cmpScalarImpl<less, double, 3>, cmpScalarImpl<less, double, 4>},
{cmpScalarImpl<less_equal, double, 1>, cmpScalarImpl<less_equal, double, 2>, cmpScalarImpl<less_equal, double, 3>, cmpScalarImpl<less_equal, double, 4>},
{cmpScalarImpl<not_equal_to, double, 1>, cmpScalarImpl<not_equal_to, double, 2>, cmpScalarImpl<not_equal_to, double, 3>, cmpScalarImpl<not_equal_to, double, 4>}
}
};
funcs[cn](src, val, dst, stream);
if (inv)
{
// src1 is a scalar; swap it with src2
cmpop = cmpop == cv::CMP_LT ? cv::CMP_GT : cmpop == cv::CMP_LE ? cv::CMP_GE :
cmpop == cv::CMP_GE ? cv::CMP_LE : cmpop == cv::CMP_GT ? cv::CMP_LT : cmpop;
}
template void cmpScalarEq<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarEq<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarNe<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLt<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarLe<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
const int depth = src.depth();
const int cn = src.channels();
template void cmpScalarGt<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGt<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
CV_DbgAssert( depth <= CV_64F && cn <= 4 );
template void cmpScalarGe<uchar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<schar >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<ushort>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<short >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<int >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<float >(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template void cmpScalarGe<double>(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
funcs[depth][cmpop][cn - 1](src, val, dst, stream);
}
#endif // CUDA_DISABLER
#endif
modules/cudaarithm/src/element_operations.cpp
View file @ ef9917ec
......@@ -454,147 +454,9 @@ void cv::cuda::absdiff(InputArray src1, InputArray src2, OutputArray dst, Stream
//////////////////////////////////////////////////////////////////////////////
// compare
namespace arithm
{
void cmpMatEq_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatNe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatLt_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatLe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
template <typename T> void cmpMatEq(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpMatNe(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpMatLt(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpMatLe(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
}
static void cmpMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double, Stream& _stream, int cmpop)
{
using namespace arithm;
typedef void (*func_t)(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[7][4] =
{
{cmpMatEq<unsigned char> , cmpMatNe<unsigned char> , cmpMatLt<unsigned char> , cmpMatLe<unsigned char> },
{cmpMatEq<signed char> , cmpMatNe<signed char> , cmpMatLt<signed char> , cmpMatLe<signed char> },
{cmpMatEq<unsigned short>, cmpMatNe<unsigned short>, cmpMatLt<unsigned short>, cmpMatLe<unsigned short>},
{cmpMatEq<short> , cmpMatNe<short> , cmpMatLt<short> , cmpMatLe<short> },
{cmpMatEq<int> , cmpMatNe<int> , cmpMatLt<int> , cmpMatLe<int> },
{cmpMatEq<float> , cmpMatNe<float> , cmpMatLt<float> , cmpMatLe<float> },
{cmpMatEq<double> , cmpMatNe<double> , cmpMatLt<double> , cmpMatLe<double> }
};
typedef void (*func_v4_t)(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
static const func_v4_t funcs_v4[] =
{
cmpMatEq_v4, cmpMatNe_v4, cmpMatLt_v4, cmpMatLe_v4
};
const int depth = src1.depth();
const int cn = src1.channels();
cudaStream_t stream = StreamAccessor::getStream(_stream);
static const int codes[] =
{
0, 2, 3, 2, 3, 1
};
const GpuMat* psrc1[] =
{
&src1, &src2, &src2, &src1, &src1, &src1
};
const GpuMat* psrc2[] =
{
&src2, &src1, &src1, &src2, &src2, &src2
};
const int code = codes[cmpop];
PtrStepSzb src1_(src1.rows, src1.cols * cn, psrc1[cmpop]->data, psrc1[cmpop]->step);
PtrStepSzb src2_(src1.rows, src1.cols * cn, psrc2[cmpop]->data, psrc2[cmpop]->step);
PtrStepSzb dst_(src1.rows, src1.cols * cn, dst.data, dst.step);
if (depth == CV_8U && (src1_.cols & 3) == 0)
{
const intptr_t src1ptr = reinterpret_cast<intptr_t>(src1_.data);
const intptr_t src2ptr = reinterpret_cast<intptr_t>(src2_.data);
const intptr_t dstptr = reinterpret_cast<intptr_t>(dst_.data);
const bool isAllAligned = (src1ptr & 31) == 0 && (src2ptr & 31) == 0 && (dstptr & 31) == 0;
if (isAllAligned)
{
const int vcols = src1_.cols >> 2;
void cmpMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop);
funcs_v4[code](PtrStepSz<unsigned int>(src1_.rows, vcols, (unsigned int*) src1_.data, src1_.step),
PtrStepSz<unsigned int>(src1_.rows, vcols, (unsigned int*) src2_.data, src2_.step),
PtrStepSz<unsigned int>(src1_.rows, vcols, (unsigned int*) dst_.data, dst_.step),
stream);
return;
}
}
const func_t func = funcs[depth][code];
func(src1_, src2_, dst_, stream);
}
namespace arithm
{
template <typename T> void cmpScalarEq(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpScalarNe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpScalarLt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpScalarLe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpScalarGt(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpScalarGe(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
}
namespace
{
template <typename T> void castScalar(Scalar& sc)
{
sc.val[0] = saturate_cast<T>(sc.val[0]);
sc.val[1] = saturate_cast<T>(sc.val[1]);
sc.val[2] = saturate_cast<T>(sc.val[2]);
sc.val[3] = saturate_cast<T>(sc.val[3]);
}
}
static void cmpScalar(const GpuMat& src, Scalar val, bool inv, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop)
{
using namespace arithm;
typedef void (*func_t)(PtrStepSzb src, int cn, double val[4], PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[7][6] =
{
{cmpScalarEq<unsigned char> , cmpScalarGt<unsigned char> , cmpScalarGe<unsigned char> , cmpScalarLt<unsigned char> , cmpScalarLe<unsigned char> , cmpScalarNe<unsigned char> },
{cmpScalarEq<signed char> , cmpScalarGt<signed char> , cmpScalarGe<signed char> , cmpScalarLt<signed char> , cmpScalarLe<signed char> , cmpScalarNe<signed char> },
{cmpScalarEq<unsigned short>, cmpScalarGt<unsigned short>, cmpScalarGe<unsigned short>, cmpScalarLt<unsigned short>, cmpScalarLe<unsigned short>, cmpScalarNe<unsigned short>},
{cmpScalarEq<short> , cmpScalarGt<short> , cmpScalarGe<short> , cmpScalarLt<short> , cmpScalarLe<short> , cmpScalarNe<short> },
{cmpScalarEq<int> , cmpScalarGt<int> , cmpScalarGe<int> , cmpScalarLt<int> , cmpScalarLe<int> , cmpScalarNe<int> },
{cmpScalarEq<float> , cmpScalarGt<float> , cmpScalarGe<float> , cmpScalarLt<float> , cmpScalarLe<float> , cmpScalarNe<float> },
{cmpScalarEq<double> , cmpScalarGt<double> , cmpScalarGe<double> , cmpScalarLt<double> , cmpScalarLe<double> , cmpScalarNe<double> }
};
typedef void (*cast_func_t)(Scalar& sc);
static const cast_func_t cast_func[] =
{
castScalar<unsigned char>, castScalar<signed char>, castScalar<unsigned short>, castScalar<short>, castScalar<int>, castScalar<float>, castScalar<double>
};
if (inv)
{
// src1 is a scalar; swap it with src2
cmpop = cmpop == CMP_LT ? CMP_GT : cmpop == CMP_LE ? CMP_GE :
cmpop == CMP_GE ? CMP_LE : cmpop == CMP_GT ? CMP_LT : cmpop;
}
const int depth = src.depth();
const int cn = src.channels();
cast_func[depth](val);
funcs[depth][cmpop](src, cn, val.val, dst, StreamAccessor::getStream(stream));
}
void cmpScalar(const GpuMat& src, Scalar val, bool inv, GpuMat& dst, const GpuMat&, double, Stream& stream, int cmpop);
void cv::cuda::compare(InputArray src1, InputArray src2, OutputArray dst, int cmpop, Stream& stream)
{
......
modules/cudev/include/opencv2/cudev/util/vec_traits.hpp
View file @ ef9917ec
......@@ -70,7 +70,7 @@ CV_CUDEV_MAKE_VEC_INST(double)
#undef CV_CUDEV_MAKE_VEC_INST
template<> struct MakeVec<schar, 1> { typedef char type; };
template<> struct MakeVec<schar, 1> { typedef schar type; };
template<> struct MakeVec<schar, 2> { typedef char2 type; };
template<> struct MakeVec<schar, 3> { typedef char3 type; };
template<> struct MakeVec<schar, 4> { typedef char4 type; };
......
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