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deleted NPP_VERSION and NPP_HAVE_COMPLEX_TYPE macros, because last NPP supports complex types under linux

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This commit is contained in:
Vladislav Vinogradov
2010-11-23 08:21:26 +00:00
parent cd94b8c00e
commit dd2fe821c2
4 changed files with 5 additions and 177 deletions
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120
modules/gpu/src/arithm.cpp
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@@ -96,12 +96,6 @@ cv::gpu::GpuMat cv::gpu::operator ^ (const GpuMat&, const GpuMat&) { throw_nogpu
#else /* !defined (HAVE_CUDA) */
#define NPP_VERSION (10 * NPP_VERSION_MAJOR + NPP_VERSION_MINOR)
#if (defined(_WIN32) || defined(_WIN64)) && (NPP_VERSION >= 32)
# define NPP_HAVE_COMPLEX_TYPE
#endif
////////////////////////////////////////////////////////////////////////
// add subtract multiply divide
@@ -120,11 +114,7 @@ namespace
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
#if NPP_VERSION >= 32
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32SC1 || src1.type() == CV_32FC1);
#else
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32FC1);
#endif
dst.create( src1.size(), src1.type() );
@@ -144,13 +134,11 @@ namespace
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz, 0) );
break;
#if NPP_VERSION >= 32
case CV_32SC1:
nppSafeCall( npp_func_32sc1(src1.ptr<Npp32s>(), src1.step,
src2.ptr<Npp32s>(), src2.step,
dst.ptr<Npp32s>(), dst.step, sz) );
break;
#endif
case CV_32FC1:
nppSafeCall( npp_func_32fc1(src1.ptr<Npp32f>(), src1.step,
src2.ptr<Npp32f>(), src2.step,
@@ -167,13 +155,11 @@ namespace
typedef NppStatus (*func_ptr)(const Npp32f *pSrc, int nSrcStep, Npp32f nValue, Npp32f *pDst,
int nDstStep, NppiSize oSizeROI);
};
#ifdef NPP_HAVE_COMPLEX_TYPE
template<> struct NppArithmScalarFunc<2>
{
typedef NppStatus (*func_ptr)(const Npp32fc *pSrc, int nSrcStep, Npp32fc nValue, Npp32fc *pDst,
int nDstStep, NppiSize oSizeROI);
};
#endif
template<int SCN, typename NppArithmScalarFunc<SCN>::func_ptr func> struct NppArithmScalar;
template<typename NppArithmScalarFunc<1>::func_ptr func> struct NppArithmScalar<1, func>
@@ -189,7 +175,6 @@ namespace
nppSafeCall( func(src.ptr<Npp32f>(), src.step, (Npp32f)sc[0], dst.ptr<Npp32f>(), dst.step, sz) );
}
};
#ifdef NPP_HAVE_COMPLEX_TYPE
template<typename NppArithmScalarFunc<2>::func_ptr func> struct NppArithmScalar<2, func>
{
static void calc(const GpuMat& src, const Scalar& sc, GpuMat& dst)
@@ -207,119 +192,66 @@ namespace
nppSafeCall( func(src.ptr<Npp32fc>(), src.step, nValue, dst.ptr<Npp32fc>(), dst.step, sz) );
}
};
#endif
}
void cv::gpu::add(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
#if NPP_VERSION >= 32
nppArithmCaller(src1, src2, dst, nppiAdd_8u_C1RSfs, nppiAdd_8u_C4RSfs, nppiAdd_32s_C1R, nppiAdd_32f_C1R);
#else
nppArithmCaller(src1, src2, dst, nppiAdd_8u_C1RSfs, nppiAdd_8u_C4RSfs, 0, nppiAdd_32f_C1R);
#endif
}
void cv::gpu::subtract(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
#if NPP_VERSION >= 32
nppArithmCaller(src2, src1, dst, nppiSub_8u_C1RSfs, nppiSub_8u_C4RSfs, nppiSub_32s_C1R, nppiSub_32f_C1R);
#else
nppArithmCaller(src2, src1, dst, nppiSub_8u_C1RSfs, nppiSub_8u_C4RSfs, 0, nppiSub_32f_C1R);
#endif
}
void cv::gpu::multiply(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
#if NPP_VERSION >= 32
nppArithmCaller(src1, src2, dst, nppiMul_8u_C1RSfs, nppiMul_8u_C4RSfs, nppiMul_32s_C1R, nppiMul_32f_C1R);
#else
nppArithmCaller(src1, src2, dst, nppiMul_8u_C1RSfs, nppiMul_8u_C4RSfs, 0, nppiMul_32f_C1R);
#endif
}
void cv::gpu::divide(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
#if NPP_VERSION >= 32
nppArithmCaller(src2, src1, dst, nppiDiv_8u_C1RSfs, nppiDiv_8u_C4RSfs, nppiDiv_32s_C1R, nppiDiv_32f_C1R);
#else
nppArithmCaller(src2, src1, dst, nppiDiv_8u_C1RSfs, nppiDiv_8u_C4RSfs, 0, nppiDiv_32f_C1R);
#endif
}
void cv::gpu::add(const GpuMat& src, const Scalar& sc, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
static const caller_t callers[] = {0, NppArithmScalar<1, nppiAddC_32f_C1R>::calc, NppArithmScalar<2, nppiAddC_32fc_C1R>::calc};
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
callers[src.channels()](src, sc, dst);
#else
# if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
NppArithmScalar<1, nppiAddC_32f_C1R>::calc(src, sc, dst);
# else
CV_Assert(!"This function doesn't supported");
# endif
#endif
}
void cv::gpu::subtract(const GpuMat& src, const Scalar& sc, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
static const caller_t callers[] = {0, NppArithmScalar<1, nppiSubC_32f_C1R>::calc, NppArithmScalar<2, nppiSubC_32fc_C1R>::calc};
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
callers[src.channels()](src, sc, dst);
#else
# if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
NppArithmScalar<1, nppiSubC_32f_C1R>::calc(src, sc, dst);
# else
CV_Assert(!"This function doesn't supported");
# endif
#endif
}
void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
static const caller_t callers[] = {0, NppArithmScalar<1, nppiMulC_32f_C1R>::calc, NppArithmScalar<2, nppiMulC_32fc_C1R>::calc};
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
callers[src.channels()](src, sc, dst);
#else
# if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
NppArithmScalar<1, nppiMulC_32f_C1R>::calc(src, sc, dst);
# else
CV_Assert(!"This function doesn't supported");
# endif
#endif
}
void cv::gpu::divide(const GpuMat& src, const Scalar& sc, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
typedef void (*caller_t)(const GpuMat& src, const Scalar& sc, GpuMat& dst);
static const caller_t callers[] = {0, NppArithmScalar<1, nppiDivC_32f_C1R>::calc, NppArithmScalar<2, nppiDivC_32fc_C1R>::calc};
CV_Assert(src.type() == CV_32FC1 || src.type() == CV_32FC2);
callers[src.channels()](src, sc, dst);
#else
# if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
NppArithmScalar<1, nppiDivC_32f_C1R>::calc(src, sc, dst);
# else
CV_Assert(!"This function doesn't supported");
# endif
#endif
}
////////////////////////////////////////////////////////////////////////
@@ -345,11 +277,7 @@ void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
#if NPP_VERSION >= 32
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32SC1 || src1.type() == CV_32FC1);
#else
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_8UC4 || src1.type() == CV_32FC1);
#endif
dst.create( src1.size(), src1.type() );
@@ -369,13 +297,11 @@ void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz) );
break;
#if NPP_VERSION >= 32
case CV_32SC1:
nppSafeCall( nppiAbsDiff_32s_C1R(src1.ptr<Npp32s>(), src1.step,
src2.ptr<Npp32s>(), src2.step,
dst.ptr<Npp32s>(), dst.step, sz) );
break;
#endif
case CV_32FC1:
nppSafeCall( nppiAbsDiff_32f_C1R(src1.ptr<Npp32f>(), src1.step,
src2.ptr<Npp32f>(), src2.step,
@@ -388,7 +314,6 @@ void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
void cv::gpu::absdiff(const GpuMat& src, const Scalar& s, GpuMat& dst)
{
#if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
dst.create( src.size(), src.type() );
@@ -398,9 +323,6 @@ void cv::gpu::absdiff(const GpuMat& src, const Scalar& s, GpuMat& dst)
sz.height = src.rows;
nppSafeCall( nppiAbsDiffC_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz, (Npp32f)s[0]) );
#else
CV_Assert(!"This function doesn't supported");
#endif
}
////////////////////////////////////////////////////////////////////////
@@ -534,6 +456,8 @@ void cv::gpu::flip(const GpuMat& src, GpuMat& dst, int flipCode)
Scalar cv::gpu::sum(const GpuMat& src)
{
CV_Assert(!"disabled until fix crash");
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
NppiSize sz;
@@ -541,8 +465,6 @@ Scalar cv::gpu::sum(const GpuMat& src)
sz.height = src.rows;
Scalar res;
#if NPP_VERSION >= 32
CV_Assert(!"disabled until fix crash");
int bufsz;
@@ -560,12 +482,6 @@ Scalar cv::gpu::sum(const GpuMat& src)
nppSafeCall( nppiSum_8u_C4R(src.ptr<Npp8u>(), src.step, sz, buf.ptr<Npp32s>(), res.val) );
}
#else
if (src.type() == CV_8UC1)
nppSafeCall( nppiSum_8u_C1R(src.ptr<Npp8u>(), src.step, sz, res.val) );
else
nppSafeCall( nppiSum_8u_C4R(src.ptr<Npp8u>(), src.step, sz, res.val) );
#endif
return res;
}
@@ -600,11 +516,7 @@ namespace
Npp8u* cuMem;
#if NPP_VERSION >= 32
cuMem = nppsMalloc_8u(8);
#else
cudaSafeCall( cudaMalloc((void**)&cuMem, 8 * sizeof(Npp8u)) );
#endif
nppSafeCall( nppiMinMax_8u_C4R(src.ptr<Npp8u>(), src.step, sz, cuMem, cuMem + 4) );
@@ -613,11 +525,7 @@ namespace
if (maxVal)
cudaMemcpy(maxVal, cuMem + 4, 4 * sizeof(Npp8u), cudaMemcpyDeviceToHost);
#if NPP_VERSION >= 32
nppsFree(cuMem);
#else
cudaSafeCall( cudaFree(cuMem) );
#endif
}
}
@@ -696,7 +604,6 @@ void cv::gpu::LUT(const GpuMat& src, const Mat& lut, GpuMat& dst)
void cv::gpu::exp(const GpuMat& src, GpuMat& dst)
{
#if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
dst.create(src.size(), src.type());
@@ -706,9 +613,6 @@ void cv::gpu::exp(const GpuMat& src, GpuMat& dst)
sz.height = src.rows;
nppSafeCall( nppiExp_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
#else
CV_Assert(!"This function doesn't supported");
#endif
}
////////////////////////////////////////////////////////////////////////
@@ -716,7 +620,6 @@ void cv::gpu::exp(const GpuMat& src, GpuMat& dst)
void cv::gpu::log(const GpuMat& src, GpuMat& dst)
{
#if NPP_VERSION >= 32
CV_Assert(src.type() == CV_32FC1);
dst.create(src.size(), src.type());
@@ -726,15 +629,11 @@ void cv::gpu::log(const GpuMat& src, GpuMat& dst)
sz.height = src.rows;
nppSafeCall( nppiLn_32f_C1R(src.ptr<Npp32f>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
#else
CV_Assert(!"This function doesn't supported");
#endif
}
////////////////////////////////////////////////////////////////////////
// NPP magnitide
#ifdef NPP_HAVE_COMPLEX_TYPE
namespace
{
typedef NppStatus (*nppMagnitude_t)(const Npp32fc* pSrc, int nSrcStep, Npp32f* pDst, int nDstStep, NppiSize oSizeROI);
@@ -752,24 +651,15 @@ namespace
nppSafeCall( func(src.ptr<Npp32fc>(), src.step, dst.ptr<Npp32f>(), dst.step, sz) );
}
}
#endif
void cv::gpu::magnitude(const GpuMat& src, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
::npp_magnitude(src, dst, nppiMagnitude_32fc32f_C1R);
#else
CV_Assert(!"This function doesn't supported");
#endif
}
void cv::gpu::magnitudeSqr(const GpuMat& src, GpuMat& dst)
{
#ifdef NPP_HAVE_COMPLEX_TYPE
::npp_magnitude(src, dst, nppiMagnitudeSqr_32fc32f_C1R);
#else
CV_Assert(!"This function doesn't supported");
#endif
}
////////////////////////////////////////////////////////////////////////
@@ -871,7 +761,7 @@ void cv::gpu::polarToCart(const GpuMat& magnitude, const GpuMat& angle, GpuMat&
//////////////////////////////////////////////////////////////////////////////
// Per-element bit-wise logical matrix operations
namespace cv { namespace gpu { namespace mathfunc
namespace cv { namespace gpu { namespace mathfunc
{
void bitwise_not_caller(int rows, int cols, const PtrStep src, int elemSize, PtrStep dst, cudaStream_t stream);
void bitwise_not_caller(int rows, int cols, const PtrStep src, int elemSize, PtrStep dst, const PtrStep mask, cudaStream_t stream);
@@ -887,7 +777,7 @@ namespace cv { namespace gpu { namespace mathfunc
void bitwise_bin_op(int rows, int cols, const PtrStep src1, const PtrStep src2, PtrStep dst, int elem_size, Mask mask, cudaStream_t stream);
}}}
namespace
namespace
{
void bitwise_not_caller(const GpuMat& src, GpuMat& dst, cudaStream_t stream)
{
@@ -951,7 +841,7 @@ namespace
void cv::gpu::bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask)
{
if (mask.empty())
if (mask.empty())
::bitwise_not_caller(src, dst, 0);
else
::bitwise_not_caller(src, dst, mask, 0);