generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Small refactoring

Browse Source
This commit is contained in:
Alexander Karsakov 2014-04-01 11:27:43 +04:00
parent 10a52220f0
commit a3825acee4
6 changed files with 46 additions and 328 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

67
modules/imgproc/src/filter.cpp
View File

@ -3269,8 +3269,10 @@ static bool ocl_filter2D( InputArray _src, OutputArray _dst, int ddepth,
return k.run(2, globalsize, localsize, false);
}
const int shift_bits = 8;
static bool ocl_sepRowFilter2D(const UMat & src, UMat & buf, const Mat & kernelX, int anchor,
int borderType, int ddepth, bool fast8uc1)
int borderType, int ddepth, bool fast8uc1, bool int_arithm)
{
int type = src.type(), cn = CV_MAT_CN(type), sdepth = CV_MAT_DEPTH(type);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
@ -3303,14 +3305,15 @@ static bool ocl_sepRowFilter2D(const UMat & src, UMat & buf, const Mat & kernelX
char cvt[40];
cv::String build_options = cv::format("-D RADIUSX=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D %s -D %s -D %s"
" -D srcT=%s -D dstT=%s -D convertToDstT=%s -D srcT1=%s -D dstT1=%s%s",
" -D srcT=%s -D dstT=%s -D convertToDstT=%s -D srcT1=%s -D dstT1=%s%s%s",
radiusX, (int)localsize[0], (int)localsize[1], cn, btype,
extra_extrapolation ? "EXTRA_EXTRAPOLATION" : "NO_EXTRA_EXTRAPOLATION",
isolated ? "BORDER_ISOLATED" : "NO_BORDER_ISOLATED",
ocl::typeToStr(type), ocl::typeToStr(buf_type),
ocl::convertTypeStr(sdepth, bdepth, cn, cvt),
ocl::typeToStr(sdepth), ocl::typeToStr(bdepth),
doubleSupport ? " -D DOUBLE_SUPPORT" : "");
doubleSupport ? " -D DOUBLE_SUPPORT" : "",
int_arithm ? " -D INTEGER_ARITHMETIC" : "");
build_options += ocl::kernelToStr(kernelX, bdepth);
Size srcWholeSize; Point srcOffset;
@ -3338,7 +3341,7 @@ static bool ocl_sepRowFilter2D(const UMat & src, UMat & buf, const Mat & kernelX
return k.run(2, globalsize, localsize, false);
}
static bool ocl_sepColFilter2D(const UMat & buf, UMat & dst, const Mat & kernelY, double delta, int anchor, int bits)
static bool ocl_sepColFilter2D(const UMat & buf, UMat & dst, const Mat & kernelY, double delta, int anchor, bool int_arithm)
{
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if (dst.depth() == CV_64F && !doubleSupport)
@ -3361,12 +3364,13 @@ static bool ocl_sepColFilter2D(const UMat & buf, UMat & dst, const Mat & kernelY
char cvt[40];
cv::String build_options = cv::format("-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d"
" -D srcT=%s -D dstT=%s -D convertToDstT=%s"
" -D srcT1=%s -D dstT1=%s -D BITS=%d%s",
" -D srcT1=%s -D dstT1=%s -D SHIFT_BITS=%d%s%s",
anchor, (int)localsize[0], (int)localsize[1], cn,
ocl::typeToStr(buf_type), ocl::typeToStr(dtype),
ocl::convertTypeStr(bdepth, ddepth, cn, cvt),
ocl::typeToStr(bdepth), ocl::typeToStr(ddepth),
bits, doubleSupport ? " -D DOUBLE_SUPPORT" : "");
2*shift_bits, doubleSupport ? " -D DOUBLE_SUPPORT" : "",
int_arithm ? " -D INTEGER_ARITHMETIC" : "");
build_options += ocl::kernelToStr(kernelY, bdepth);
ocl::Kernel k("col_filter", cv::ocl::imgproc::filterSepCol_oclsrc,
@ -3459,62 +3463,55 @@ static bool ocl_sepFilter2D( InputArray _src, OutputArray _dst, int ddepth,
if (ddepth < 0)
ddepth = sdepth;
//CV_OCL_RUN_(kernelY.cols <= 21 && kernelX.cols <= 21 &&
// imgSize.width > optimizedSepFilterLocalSize + (kernelX.cols >> 1) &&
// imgSize.height > optimizedSepFilterLocalSize + (kernelY.cols >> 1) &&
// (!(borderType & BORDER_ISOLATED) || _src.offset() == 0) && anchor == Point(-1, -1) &&
// (d.isIntel() || (d.isAMD() && !d.hostUnifiedMemory())),
// ocl_sepFilter2D_SinglePass(_src, _dst, kernelX, kernelY, delta,
// borderType & ~BORDER_ISOLATED, ddepth), true)
if (anchor.x < 0)
anchor.x = kernelX.cols >> 1;
if (anchor.y < 0)
anchor.y = kernelY.cols >> 1;
UMat src = _src.getUMat();
Size srcWholeSize; Point srcOffset;
src.locateROI(srcWholeSize, srcOffset);
//bool fast8uc1 = type == CV_8UC1 && srcOffset.x % 4 == 0 &&
// src.cols % 4 == 0 && src.step % 4 == 0;
bool fast8uc1 = false;
int rtype = getKernelType(kernelX,
kernelX.rows == 1 ? Point(anchor.x, 0) : Point(0, anchor.x));
int ctype = getKernelType(kernelY,
kernelY.rows == 1 ? Point(anchor.y, 0) : Point(0, anchor.y));
int bdepth = CV_32F;
int bits = 0;
bool int_arithm = false;
if( sdepth == CV_8U &&
((rtype == KERNEL_SMOOTH+KERNEL_SYMMETRICAL &&
ctype == KERNEL_SMOOTH+KERNEL_SYMMETRICAL &&
ddepth == CV_8U)))
{
bdepth = CV_32S;
bits = 8;
_kernelX.getMat().convertTo( kernelX, CV_32S, 1 << bits );
_kernelY.getMat().convertTo( kernelY, CV_32S, 1 << bits );
kernelX = kernelX.reshape(1,1);
kernelY = kernelY.reshape(1,1);
bits *= 2;
delta *= (1 << bits);
_kernelX.getMat().reshape(1,1).convertTo( kernelX, CV_32S, 1 << shift_bits );
_kernelY.getMat().reshape(1,1).convertTo( kernelY, CV_32S, 1 << shift_bits );
int_arithm = true;
}
CV_OCL_RUN_(kernelY.cols <= 21 && kernelX.cols <= 21 && !int_arithm &&
imgSize.width > optimizedSepFilterLocalSize + anchor.x &&
imgSize.height > optimizedSepFilterLocalSize + anchor.y &&
(!(borderType & BORDER_ISOLATED) || _src.offset() == 0) &&
anchor == Point(kernelX.cols >> 1, kernelY.cols >> 1) &&
(d.isIntel() || (d.isAMD() && !d.hostUnifiedMemory())),
ocl_sepFilter2D_SinglePass(_src, _dst, kernelX, kernelY, delta,
borderType & ~BORDER_ISOLATED, ddepth), true)
UMat src = _src.getUMat();
Size srcWholeSize; Point srcOffset;
src.locateROI(srcWholeSize, srcOffset);
bool fast8uc1 = type == CV_8UC1 && srcOffset.x % 4 == 0 &&
src.cols % 4 == 0 && src.step % 4 == 0 && !int_arithm;
Size srcSize = src.size();
Size bufSize(srcSize.width, srcSize.height + kernelY.cols - 1);
UMat buf(bufSize, CV_MAKETYPE(bdepth, cn));
if (!ocl_sepRowFilter2D(src, buf, kernelX, anchor.x, borderType, ddepth, fast8uc1))
if (!ocl_sepRowFilter2D(src, buf, kernelX, anchor.x, borderType, ddepth, fast8uc1, int_arithm))
return false;
Mat buffer = buf.getMat(ACCESS_READ);
_dst.create(srcSize, CV_MAKETYPE(ddepth, cn));
UMat dst = _dst.getUMat();
return ocl_sepColFilter2D(buf, dst, kernelY, delta, anchor.y, bits);
return ocl_sepColFilter2D(buf, dst, kernelY, delta, anchor.y, int_arithm);
}
#endif

10
modules/imgproc/src/opencl/filterSepCol.cl
View File

@ -3,6 +3,7 @@
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2014, Itseez, Inc, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
@ -96,12 +97,15 @@ __kernel void col_filter(__global const uchar * src, int src_step, int src_offse
{
temp[0] = LDS_DAT[l_y + RADIUSY - i][l_x];
temp[1] = LDS_DAT[l_y + RADIUSY + i][l_x];
#ifndef INTEGER_ARITHMETIC
sum += mad(temp[0], mat_kernel[RADIUSY - i], temp[1] * mat_kernel[RADIUSY + i]);
//sum += temp[0]*mat_kernel[RADIUSY - i] + temp[1] * mat_kernel[RADIUSY + i];
#else
sum += mad24(temp[0],mat_kernel[RADIUSY - i], temp[1] * mat_kernel[RADIUSY + i]);
#endif
}
#if BITS > 0
sum = sum >> BITS;
#ifdef INTEGER_ARITHMETIC
sum = (sum + (1 << (SHIFT_BITS-1))) >> SHIFT_BITS;
#endif
// write the result to dst

6
modules/imgproc/src/opencl/filterSepRow.cl
View File

@ -3,6 +3,7 @@
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2014, Itseez, Inc, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
@ -355,8 +356,11 @@ __kernel void row_filter(__global const uchar * src, int src_step, int src_offse
{
temp[0] = LDS_DAT[l_y][l_x + RADIUSX - i];
temp[1] = LDS_DAT[l_y][l_x + RADIUSX + i];
#ifndef INTEGER_ARITHMETIC
sum += mad(convertToDstT(temp[0]), mat_kernel[RADIUSX - i], convertToDstT(temp[1]) * mat_kernel[RADIUSX + i]);
//sum += convertToDstT(temp[0])*mat_kernel[RADIUSX - i] + convertToDstT(temp[1]) * mat_kernel[RADIUSX + i];
#else
sum += mad24(convertToDstT(temp[0]), mat_kernel[RADIUSX - i], convertToDstT(temp[1]) * mat_kernel[RADIUSX + i]);
#endif
}
// write the result to dst

189
modules/imgproc/src/opencl/gaussian_blur_8u.cl
View File

@ -1,189 +0,0 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2014, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
///////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////Macro for border type////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////////////
#ifdef BORDER_CONSTANT
// CCCCCC|abcdefgh|CCCCCCC
#define EXTRAPOLATE(x, maxV)
#elif defined BORDER_REPLICATE
// aaaaaa|abcdefgh|hhhhhhh
#define EXTRAPOLATE(x, maxV) \
{ \
(x) = max(min((x), (maxV) - 1), 0); \
}
#elif defined BORDER_WRAP
// cdefgh|abcdefgh|abcdefg
#define EXTRAPOLATE(x, maxV) \
{ \
(x) = ( (x) + (maxV) ) % (maxV); \
}
#elif defined BORDER_REFLECT
// fedcba|abcdefgh|hgfedcb
#define EXTRAPOLATE(x, maxV) \
{ \
(x) = min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) ); \
}
#elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101
// gfedcb|abcdefgh|gfedcba
#define EXTRAPOLATE(x, maxV) \
{ \
(x) = min(((maxV)-1)*2-(x), max((x),-(x)) ); \
}
#else
#error No extrapolation method
#endif
#if CN != 3
#define loadpix(addr) *(__global const srcT *)(addr)
#define storepix(val, addr) *(__global dstT *)(addr) = val
#define SRCSIZE (int)sizeof(srcT)
#define DSTSIZE (int)sizeof(dstT)
#else
#define loadpix(addr) vload3(0, (__global const srcT1 *)(addr))
#define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr))
#define SRCSIZE (int)sizeof(srcT1)*3
#define DSTSIZE (int)sizeof(dstT1)*3
#endif
#define SRC(_x,_y) convertToWT(loadpix(Src + mad24(_y, src_step, SRCSIZE * _x)))
#ifdef BORDER_CONSTANT
// CCCCCC|abcdefgh|CCCCCCC
#define ELEM(_x,_y,r_edge,t_edge,const_v) (_x)<0 | (_x) >= (r_edge) | (_y)<0 | (_y) >= (t_edge) ? (const_v) : SRC((_x),(_y))
#else
#define ELEM(_x,_y,r_edge,t_edge,const_v) SRC((_x),(_y))
#endif
#define noconvert
// horizontal and vertical filter kernels
// should be defined on host during compile time to avoid overhead
#define DIG(a) a,
__constant int mat_kernelX[] = { KERNEL_MATRIX_X };
__constant int mat_kernelY[] = { KERNEL_MATRIX_Y };
__kernel void gaussian_blur_8u(__global uchar* Src, int src_step, int srcOffsetX, int srcOffsetY, int height, int width,
__global uchar* Dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
{
// RADIUSX, RADIUSY are filter dimensions
// BLK_X, BLK_Y are local wrogroup sizes
// all these should be defined on host during compile time
// first lsmem array for source pixels used in first pass,
// second lsmemDy for storing first pass results
__local WT lsmem[BLK_Y + 2 * RADIUSY][BLK_X + 2 * RADIUSX];
__local WT lsmemDy[BLK_Y][BLK_X + 2 * RADIUSX];
// get local and global ids - used as image and local memory array indexes
int lix = get_local_id(0);
int liy = get_local_id(1);
int x = get_global_id(0);
int y = get_global_id(1);
// calculate pixel position in source image taking image offset into account
int srcX = x + srcOffsetX - RADIUSX;
int srcY = y + srcOffsetY - RADIUSY;
int xb = srcX;
int yb = srcY;
// extrapolate coordinates, if needed
// and read my own source pixel into local memory
// with account for extra border pixels, which will be read by starting workitems
int clocY = liy;
int cSrcY = srcY;
do
{
int yb = cSrcY;
EXTRAPOLATE(yb, (height));
int clocX = lix;
int cSrcX = srcX;
do
{
int xb = cSrcX;
EXTRAPOLATE(xb,(width));
lsmem[clocY][clocX] = ELEM(xb, yb, (width), (height), 0 );
clocX += BLK_X;
cSrcX += BLK_X;
}
while(clocX < BLK_X+(RADIUSX*2));
clocY += BLK_Y;
cSrcY += BLK_Y;
}
while (clocY < BLK_Y+(RADIUSY*2));
barrier(CLK_LOCAL_MEM_FENCE);
// do vertical filter pass
// and store intermediate results to second local memory array
int i, clocX = lix;
WT sum = 0;
do
{
sum = 0;
for (i=0; i<=2*RADIUSY; i++)
sum = mad(lsmem[liy+i][clocX], mat_kernelY[i], sum);
lsmemDy[liy][clocX] = sum;
clocX += BLK_X;
}
while(clocX < BLK_X+(RADIUSX*2));
barrier(CLK_LOCAL_MEM_FENCE);
// if this pixel happened to be out of image borders because of global size rounding,
// then just return
if( x >= dst_cols || y >=dst_rows )
return;
// do second horizontal filter pass
// and calculate final result
sum = 0;
for (i=0; i<=2*RADIUSX; i++)
sum = mad(lsmemDy[liy][lix+i], mat_kernelX[i], sum);
sum = sum >> (GAUSSIAN_COEF_BITS * 2);
//store result into destination image
storepix(convertToDstT(sum), Dst + mad24(y, dst_step, mad24(x, DSTSIZE, dst_offset)));
}

77
modules/imgproc/src/smooth.cpp
View File

@ -42,7 +42,6 @@
#include "precomp.hpp"
#include "opencl_kernels.hpp"
#include <iostream>
/*
* This file includes the code, contributed by Simon Perreault
@ -1070,73 +1069,6 @@ static void createGaussianKernels( Mat & kx, Mat & ky, int type, Size ksize,
ky = getGaussianKernel( ksize.height, sigma2, std::max(depth, CV_32F) );
}
#define GAUSSIAN_COEF_BITS 11
static bool GaussianBlur_8u(InputArray _src, OutputArray _dst, Size ksize,
double sigma1, double sigma2,
int borderType)
{
int type = _src.type();
Mat kx, ky;
createGaussianKernels(kx, ky, CV_64F, ksize, sigma1, sigma2);
Mat kx_8u, ky_8u;
int scale_coef = 1 << GAUSSIAN_COEF_BITS;
kx.convertTo(kx_8u, CV_32S, scale_coef);
ky.convertTo(ky_8u, CV_32S, scale_coef);
kx_8u.reshape(1, 1);
ky_8u.reshape(1, 1);
Size size = _src.size(), wholeSize;
Point origin;
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype),
esz = CV_ELEM_SIZE(stype), wdepth = CV_32S,
ddepth = sdepth;
size_t src_step = _src.step(), src_offset = _src.offset();
if ((src_offset % src_step) % esz != 0 || !(borderType == BORDER_CONSTANT || borderType == BORDER_REPLICATE ||
borderType == BORDER_REFLECT || borderType == BORDER_WRAP ||
borderType == BORDER_REFLECT_101))
return false;
size_t lt2[2] = { 16, 16 };
size_t gt2[2] = { lt2[0] * (1 + (size.width - 1) / lt2[0]), lt2[1] * (1 + (size.height - 1) / lt2[1]) };
char cvt[2][40];
const char * const borderMap[] = { "BORDER_CONSTANT", "BORDER_REPLICATE", "BORDER_REFLECT", "BORDER_WRAP",
"BORDER_REFLECT_101" };
String opts = cv::format("-D BLK_X=%d -D BLK_Y=%d -D RADIUSX=%d -D RADIUSY=%d%s%s"
" -D srcT=%s -D convertToWT=%s -D WT=%s -D dstT=%s -D convertToDstT=%s"
" -D %s -D srcT1=%s -D dstT1=%s -D CN=%d -D GAUSSIAN_COEF_BITS=%d", (int)lt2[0], (int)lt2[1],
kx.rows / 2, kx.rows / 2,
ocl::kernelToStr(kx_8u, CV_32S, "KERNEL_MATRIX_X").c_str(),
ocl::kernelToStr(ky_8u, CV_32S, "KERNEL_MATRIX_Y").c_str(),
ocl::typeToStr(stype), ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]),
ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), ocl::typeToStr(stype),
ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), borderMap[borderType],
ocl::typeToStr(sdepth), ocl::typeToStr(ddepth), cn, GAUSSIAN_COEF_BITS);
ocl::Kernel k("gaussian_blur_8u", ocl::imgproc::gaussian_blur_8u_oclsrc, opts);
if (k.empty())
return false;
UMat src = _src.getUMat();
_dst.create(size, stype);
UMat dst = _dst.getUMat();
int src_offset_x = static_cast<int>((src_offset % src_step) / esz);
int src_offset_y = static_cast<int>(src_offset / src_step);
src.locateROI(wholeSize, origin);
k.args(ocl::KernelArg::PtrReadOnly(src), (int)src_step, src_offset_x, src_offset_y,
wholeSize.height, wholeSize.width, ocl::KernelArg::WriteOnly(dst));
return k.run(2, gt2, lt2, false);
}
}
cv::Ptr<cv::FilterEngine> cv::createGaussianFilter( int type, Size ksize,
@ -1150,8 +1082,6 @@ cv::Ptr<cv::FilterEngine> cv::createGaussianFilter( int type, Size ksize,
}
void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
double sigma1, double sigma2,
int borderType )
@ -1196,13 +1126,6 @@ void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
}
#endif
//if (type == CV_8U)
//{
// CV_OCL_RUN_(_dst.isUMat() && _src.dims() <= 2 &&
// (!(borderType & BORDER_ISOLATED) || _src.offset() == 0),
// GaussianBlur_8u(_src, _dst, ksize, sigma1, sigma2, borderType))
//}
Mat kx, ky;
createGaussianKernels(kx, ky, type, ksize, sigma1, sigma2);
sepFilter2D(_src, _dst, CV_MAT_DEPTH(type), kx, ky, Point(-1,-1), 0, borderType );

25
modules/imgproc/test/ocl/test_filters.cpp
View File

@ -209,7 +209,7 @@ typedef FilterTestBase GaussianBlurTest;
OCL_TEST_P(GaussianBlurTest, Mat)
{
for (int j = 0; j < test_loop_times + 100; j++)
for (int j = 0; j < test_loop_times; j++)
{
random_roi();
@ -219,28 +219,7 @@ OCL_TEST_P(GaussianBlurTest, Mat)
OCL_OFF(cv::GaussianBlur(src_roi, dst_roi, Size(ksize, ksize), sigma1, sigma2, borderType));
OCL_ON(cv::GaussianBlur(usrc_roi, udst_roi, Size(ksize, ksize), sigma1, sigma2, borderType));
if (checkNorm2(dst_roi, udst_roi) > 2 && CV_MAT_DEPTH(type) == CV_8U)
{
std::cout << "i = " << j << std::endl;
Mat uudst = udst_roi.getMat(ACCESS_READ);
Mat diff;
absdiff(dst_roi, udst, diff);
int nonZero = countNonZero(diff);
double max;
Point maxn;
minMaxLoc(diff, (double*)0, &max, (Point*) 0, &maxn);
uchar a = dst_roi.at<uchar>(maxn);
uchar b = uudst.at<uchar>(maxn);
std::cout << "dst_roi" << dst_roi << std::endl;
std::cout << "udst_roi" << uudst << std::endl;
}
Near(CV_MAT_DEPTH(type) == CV_8U ? 1 : 5e-5, false);
Near(CV_MAT_DEPTH(type) >= CV_32F ? 5e-5 : 1, false);
}
}