//
//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>
{
{
return vcmpne4(a, b);
}
-
- __host__ __device__ __forceinline__ VCmpNe4() {}
- __host__ __device__ __forceinline__ VCmpNe4(const VCmpNe4&) {}
};
struct VCmpLt4 : binary_function<uint, uint, uint>
{
{
return vcmplt4(a, b);
}
-
- __host__ __device__ __forceinline__ VCmpLt4() {}
- __host__ __device__ __forceinline__ VCmpLt4(const VCmpLt4&) {}
};
struct VCmpLe4 : binary_function<uint, uint, uint>
{
{
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
//
//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
{
}
};
-#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
//////////////////////////////////////////////////////////////////////////////
// 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)
{
projects / platform / upstream / opencv.git / commitdiff