Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
259 lines
8.6 KiB
259 lines
8.6 KiB
// This file is part of OpenCV project. |
|
// It is subject to the license terms in the LICENSE file found in the top-level directory |
|
// of this distribution and at http://opencv.org/license.html |
|
|
|
|
|
#include "precomp.hpp" |
|
#include "opencl_kernels_core.hpp" |
|
|
|
#include "convert_scale.simd.hpp" |
|
#include "convert_scale.simd_declarations.hpp" // defines CV_CPU_DISPATCH_MODES_ALL=AVX2,...,BASELINE based on CMakeLists.txt content |
|
|
|
|
|
namespace cv |
|
{ |
|
|
|
static BinaryFunc getCvtScaleAbsFunc(int depth) |
|
{ |
|
CV_INSTRUMENT_REGION(); |
|
CV_CPU_DISPATCH(getCvtScaleAbsFunc, (depth), |
|
CV_CPU_DISPATCH_MODES_ALL); |
|
} |
|
|
|
BinaryFunc getConvertScaleFunc(int sdepth, int ddepth) |
|
{ |
|
CV_INSTRUMENT_REGION(); |
|
CV_CPU_DISPATCH(getConvertScaleFunc, (sdepth, ddepth), |
|
CV_CPU_DISPATCH_MODES_ALL); |
|
} |
|
|
|
#ifdef HAVE_OPENCL |
|
|
|
static bool ocl_convertScaleAbs( InputArray _src, OutputArray _dst, double alpha, double beta ) |
|
{ |
|
const ocl::Device & d = ocl::Device::getDefault(); |
|
|
|
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); |
|
bool doubleSupport = d.doubleFPConfig() > 0; |
|
if (!doubleSupport && depth == CV_64F) |
|
return false; |
|
|
|
_dst.create(_src.size(), CV_8UC(cn)); |
|
int kercn = 1; |
|
if (d.isIntel()) |
|
{ |
|
static const int vectorWidths[] = {4, 4, 4, 4, 4, 4, 4, -1}; |
|
kercn = ocl::checkOptimalVectorWidth( vectorWidths, _src, _dst, |
|
noArray(), noArray(), noArray(), |
|
noArray(), noArray(), noArray(), |
|
noArray(), ocl::OCL_VECTOR_MAX); |
|
} |
|
else |
|
kercn = ocl::predictOptimalVectorWidthMax(_src, _dst); |
|
|
|
int rowsPerWI = d.isIntel() ? 4 : 1; |
|
char cvt[2][50]; |
|
int wdepth = std::max(depth, CV_32F); |
|
String build_opt = format("-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D DEPTH_dst=%d -D srcT1=%s" |
|
" -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s" |
|
" -D workT1=%s -D rowsPerWI=%d%s", |
|
ocl::typeToStr(CV_8UC(kercn)), CV_8U, |
|
ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), |
|
ocl::typeToStr(CV_MAKE_TYPE(wdepth, kercn)), wdepth, |
|
ocl::convertTypeStr(depth, wdepth, kercn, cvt[0]), |
|
ocl::convertTypeStr(wdepth, CV_8U, kercn, cvt[1]), |
|
ocl::typeToStr(wdepth), rowsPerWI, |
|
doubleSupport ? " -D DOUBLE_SUPPORT" : ""); |
|
ocl::Kernel k("KF", ocl::core::arithm_oclsrc, build_opt); |
|
if (k.empty()) |
|
return false; |
|
|
|
UMat src = _src.getUMat(); |
|
UMat dst = _dst.getUMat(); |
|
|
|
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src), |
|
dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn); |
|
|
|
if (wdepth == CV_32F) |
|
k.args(srcarg, dstarg, (float)alpha, (float)beta); |
|
else if (wdepth == CV_64F) |
|
k.args(srcarg, dstarg, alpha, beta); |
|
|
|
size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI }; |
|
return k.run(2, globalsize, NULL, false); |
|
} |
|
|
|
#endif |
|
|
|
void convertScaleAbs(InputArray _src, OutputArray _dst, double alpha, double beta) |
|
{ |
|
CV_INSTRUMENT_REGION(); |
|
|
|
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(), |
|
ocl_convertScaleAbs(_src, _dst, alpha, beta)) |
|
|
|
Mat src = _src.getMat(); |
|
int cn = src.channels(); |
|
double scale[] = {alpha, beta}; |
|
_dst.create( src.dims, src.size, CV_8UC(cn) ); |
|
Mat dst = _dst.getMat(); |
|
BinaryFunc func = getCvtScaleAbsFunc(src.depth()); |
|
CV_Assert( func != 0 ); |
|
|
|
if( src.dims <= 2 ) |
|
{ |
|
Size sz = getContinuousSize2D(src, dst, cn); |
|
func( src.ptr(), src.step, 0, 0, dst.ptr(), dst.step, sz, scale ); |
|
} |
|
else |
|
{ |
|
const Mat* arrays[] = {&src, &dst, 0}; |
|
uchar* ptrs[2] = {}; |
|
NAryMatIterator it(arrays, ptrs); |
|
Size sz((int)it.size*cn, 1); |
|
|
|
for( size_t i = 0; i < it.nplanes; i++, ++it ) |
|
func( ptrs[0], 0, 0, 0, ptrs[1], 0, sz, scale ); |
|
} |
|
} |
|
|
|
//================================================================================================== |
|
|
|
#ifdef HAVE_OPENCL |
|
|
|
static bool ocl_normalize( InputArray _src, InputOutputArray _dst, InputArray _mask, int dtype, |
|
double scale, double delta ) |
|
{ |
|
UMat src = _src.getUMat(); |
|
|
|
if( _mask.empty() ) |
|
src.convertTo( _dst, dtype, scale, delta ); |
|
else if (src.channels() <= 4) |
|
{ |
|
const ocl::Device & dev = ocl::Device::getDefault(); |
|
|
|
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), |
|
ddepth = CV_MAT_DEPTH(dtype), wdepth = std::max(CV_32F, std::max(sdepth, ddepth)), |
|
rowsPerWI = dev.isIntel() ? 4 : 1; |
|
|
|
float fscale = static_cast<float>(scale), fdelta = static_cast<float>(delta); |
|
bool haveScale = std::fabs(scale - 1) > DBL_EPSILON, |
|
haveZeroScale = !(std::fabs(scale) > DBL_EPSILON), |
|
haveDelta = std::fabs(delta) > DBL_EPSILON, |
|
doubleSupport = dev.doubleFPConfig() > 0; |
|
|
|
if (!haveScale && !haveDelta && stype == dtype) |
|
{ |
|
_src.copyTo(_dst, _mask); |
|
return true; |
|
} |
|
if (haveZeroScale) |
|
{ |
|
_dst.setTo(Scalar(delta), _mask); |
|
return true; |
|
} |
|
|
|
if ((sdepth == CV_64F || ddepth == CV_64F) && !doubleSupport) |
|
return false; |
|
|
|
char cvt[2][40]; |
|
String opts = format("-D srcT=%s -D dstT=%s -D convertToWT=%s -D cn=%d -D rowsPerWI=%d" |
|
" -D convertToDT=%s -D workT=%s%s%s%s -D srcT1=%s -D dstT1=%s", |
|
ocl::typeToStr(stype), ocl::typeToStr(dtype), |
|
ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn, |
|
rowsPerWI, ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), |
|
ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), |
|
doubleSupport ? " -D DOUBLE_SUPPORT" : "", |
|
haveScale ? " -D HAVE_SCALE" : "", |
|
haveDelta ? " -D HAVE_DELTA" : "", |
|
ocl::typeToStr(sdepth), ocl::typeToStr(ddepth)); |
|
|
|
ocl::Kernel k("normalizek", ocl::core::normalize_oclsrc, opts); |
|
if (k.empty()) |
|
return false; |
|
|
|
UMat mask = _mask.getUMat(), dst = _dst.getUMat(); |
|
|
|
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src), |
|
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask), |
|
dstarg = ocl::KernelArg::ReadWrite(dst); |
|
|
|
if (haveScale) |
|
{ |
|
if (haveDelta) |
|
k.args(srcarg, maskarg, dstarg, fscale, fdelta); |
|
else |
|
k.args(srcarg, maskarg, dstarg, fscale); |
|
} |
|
else |
|
{ |
|
if (haveDelta) |
|
k.args(srcarg, maskarg, dstarg, fdelta); |
|
else |
|
k.args(srcarg, maskarg, dstarg); |
|
} |
|
|
|
size_t globalsize[2] = { (size_t)src.cols, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI }; |
|
return k.run(2, globalsize, NULL, false); |
|
} |
|
else |
|
{ |
|
UMat temp; |
|
src.convertTo( temp, dtype, scale, delta ); |
|
temp.copyTo( _dst, _mask ); |
|
} |
|
|
|
return true; |
|
} |
|
|
|
#endif |
|
|
|
void normalize(InputArray _src, InputOutputArray _dst, double a, double b, |
|
int norm_type, int rtype, InputArray _mask) |
|
{ |
|
CV_INSTRUMENT_REGION(); |
|
|
|
double scale = 1, shift = 0; |
|
int type = _src.type(), depth = CV_MAT_DEPTH(type); |
|
|
|
if( rtype < 0 ) |
|
rtype = _dst.fixedType() ? _dst.depth() : depth; |
|
|
|
if( norm_type == CV_MINMAX ) |
|
{ |
|
double smin = 0, smax = 0; |
|
double dmin = MIN( a, b ), dmax = MAX( a, b ); |
|
minMaxIdx( _src, &smin, &smax, 0, 0, _mask ); |
|
scale = (dmax - dmin)*(smax - smin > DBL_EPSILON ? 1./(smax - smin) : 0); |
|
if( rtype == CV_32F ) |
|
{ |
|
scale = (float)scale; |
|
shift = (float)dmin - (float)(smin*scale); |
|
} |
|
else |
|
shift = dmin - smin*scale; |
|
} |
|
else if( norm_type == CV_L2 || norm_type == CV_L1 || norm_type == CV_C ) |
|
{ |
|
scale = norm( _src, norm_type, _mask ); |
|
scale = scale > DBL_EPSILON ? a/scale : 0.; |
|
shift = 0; |
|
} |
|
else |
|
CV_Error( CV_StsBadArg, "Unknown/unsupported norm type" ); |
|
|
|
CV_OCL_RUN(_dst.isUMat(), |
|
ocl_normalize(_src, _dst, _mask, rtype, scale, shift)) |
|
|
|
Mat src = _src.getMat(); |
|
if( _mask.empty() ) |
|
src.convertTo( _dst, rtype, scale, shift ); |
|
else |
|
{ |
|
Mat temp; |
|
src.convertTo( temp, rtype, scale, shift ); |
|
temp.copyTo( _dst, _mask ); |
|
} |
|
} |
|
|
|
} // namespace
|
|
|