Merge pull request #1995 from akarsakov:ocl_pyramids

This commit is contained in:
Andrey Pavlenko 2013-12-20 17:57:09 +04:00 committed by OpenCV Buildbot
commit 14782194f4
4 changed files with 597 additions and 2 deletions

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/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Dachuan Zhao, dachuan@multicorewareinc.com
//
// 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*/
#ifdef DOUBLE_SUPPORT
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (cl_khr_fp64)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#endif
#define noconvert
inline int idx_row_low(int y, int last_row)
{
return abs(y) % (last_row + 1);
}
inline int idx_row_high(int y, int last_row)
{
return abs(last_row - (int)abs(last_row - y)) % (last_row + 1);
}
inline int idx_row(int y, int last_row)
{
return idx_row_low(idx_row_high(y, last_row), last_row);
}
inline int idx_col_low(int x, int last_col)
{
return abs(x) % (last_col + 1);
}
inline int idx_col_high(int x, int last_col)
{
return abs(last_col - (int)abs(last_col - x)) % (last_col + 1);
}
inline int idx_col(int x, int last_col)
{
return idx_col_low(idx_col_high(x, last_col), last_col);
}
__kernel void pyrDown(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
{
const int x = get_global_id(0);
const int y = get_group_id(1);
__local FT smem[256 + 4];
__global T * dstData = (__global T *)(dst + dst_offset);
__global const uchar * srcData = (__global const uchar*)(src + src_offset);
FT sum;
FT co1 = 0.375f;
FT co2 = 0.25f;
FT co3 = 0.0625f;
const int src_y = 2*y;
const int last_row = src_rows - 1;
const int last_col = src_cols - 1;
if (src_y >= 2 && src_y < src_rows - 2 && x >= 2 && x < src_cols - 2)
{
sum = co3 * convertToFT(((__global T*)(srcData + (src_y - 2) * src_step))[x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y - 1) * src_step))[x]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + (src_y ) * src_step))[x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y + 1) * src_step))[x]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + (src_y + 2) * src_step))[x]);
smem[2 + get_local_id(0)] = sum;
if (get_local_id(0) < 2)
{
const int left_x = x - 2;
sum = co3 * convertToFT(((__global T*)(srcData + (src_y - 2) * src_step))[left_x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y - 1) * src_step))[left_x]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + (src_y ) * src_step))[left_x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y + 1) * src_step))[left_x]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + (src_y + 2) * src_step))[left_x]);
smem[get_local_id(0)] = sum;
}
if (get_local_id(0) > 253)
{
const int right_x = x + 2;
sum = co3 * convertToFT(((__global T*)(srcData + (src_y - 2) * src_step))[right_x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y - 1) * src_step))[right_x]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + (src_y ) * src_step))[right_x]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + (src_y + 1) * src_step))[right_x]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + (src_y + 2) * src_step))[right_x]);
smem[4 + get_local_id(0)] = sum;
}
}
else
{
int col = idx_col(x, last_col);
sum = co3 * convertToFT(((__global T*)(srcData + idx_row(src_y - 2, last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y - 1, last_row) * src_step))[col]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + idx_row(src_y , last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y + 1, last_row) * src_step))[col]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + idx_row(src_y + 2, last_row) * src_step))[col]);
smem[2 + get_local_id(0)] = sum;
if (get_local_id(0) < 2)
{
const int left_x = x - 2;
col = idx_col(left_x, last_col);
sum = co3 * convertToFT(((__global T*)(srcData + idx_row(src_y - 2, last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y - 1, last_row) * src_step))[col]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + idx_row(src_y , last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y + 1, last_row) * src_step))[col]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + idx_row(src_y + 2, last_row) * src_step))[col]);
smem[get_local_id(0)] = sum;
}
if (get_local_id(0) > 253)
{
const int right_x = x + 2;
col = idx_col(right_x, last_col);
sum = co3 * convertToFT(((__global T*)(srcData + idx_row(src_y - 2, last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y - 1, last_row) * src_step))[col]);
sum = sum + co1 * convertToFT(((__global T*)(srcData + idx_row(src_y , last_row) * src_step))[col]);
sum = sum + co2 * convertToFT(((__global T*)(srcData + idx_row(src_y + 1, last_row) * src_step))[col]);
sum = sum + co3 * convertToFT(((__global T*)(srcData + idx_row(src_y + 2, last_row) * src_step))[col]);
smem[4 + get_local_id(0)] = sum;
}
}
barrier(CLK_LOCAL_MEM_FENCE);
if (get_local_id(0) < 128)
{
const int tid2 = get_local_id(0) * 2;
sum = co3 * smem[2 + tid2 - 2];
sum = sum + co2 * smem[2 + tid2 - 1];
sum = sum + co1 * smem[2 + tid2 ];
sum = sum + co2 * smem[2 + tid2 + 1];
sum = sum + co3 * smem[2 + tid2 + 2];
const int dst_x = (get_group_id(0) * get_local_size(0) + tid2) / 2;
if (dst_x < dst_cols)
dstData[y * dst_step / ((int)sizeof(T)) + dst_x] = convertToT(sum);
}
}

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/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Zhang Chunpeng chunpeng@multicorewareinc.com
// Dachuan Zhao, dachuan@multicorewareinc.com
// Yao Wang, yao@multicorewareinc.com
// Peng Xiao, pengxiao@outlook.com
//
// 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*/
///////////////////////////////////////////////////////////////////////
//////////////////////// Generic PyrUp //////////////////////////////
///////////////////////////////////////////////////////////////////////
#ifdef DOUBLE_SUPPORT
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (cl_khr_fp64)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#endif
#define noconvert
__kernel void pyrUp(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols,
__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
const int lsizex = get_local_size(0);
const int lsizey = get_local_size(1);
const int tidx = get_local_id(0);
const int tidy = get_local_id(1);
__local FT s_srcPatch[10][10];
__local FT s_dstPatch[20][16];
__global T * dstData = (__global T *)(dst + dst_offset);
__global const T * srcData = (__global const T *)(src + src_offset);
if( tidx < 10 && tidy < 10 )
{
int srcx = mad24((int)get_group_id(0), lsizex>>1, tidx) - 1;
int srcy = mad24((int)get_group_id(1), lsizey>>1, tidy) - 1;
srcx = abs(srcx);
srcx = min(src_cols - 1, srcx);
srcy = abs(srcy);
srcy = min(src_rows - 1, srcy);
s_srcPatch[tidy][tidx] = convertToFT(srcData[srcx + srcy * src_step / (int) sizeof(T)]);
}
barrier(CLK_LOCAL_MEM_FENCE);
FT sum = 0.f;
const FT evenFlag = (FT)((tidx & 1) == 0);
const FT oddFlag = (FT)((tidx & 1) != 0);
const bool eveny = ((tidy & 1) == 0);
const FT co1 = 0.375f;
const FT co2 = 0.25f;
const FT co3 = 0.0625f;
if(eveny)
{
sum = ( evenFlag* co3 ) * s_srcPatch[1 + (tidy >> 1)][1 + ((tidx - 2) >> 1)];
sum = sum + ( oddFlag * co2 ) * s_srcPatch[1 + (tidy >> 1)][1 + ((tidx - 1) >> 1)];
sum = sum + ( evenFlag* co1 ) * s_srcPatch[1 + (tidy >> 1)][1 + ((tidx ) >> 1)];
sum = sum + ( oddFlag * co2 ) * s_srcPatch[1 + (tidy >> 1)][1 + ((tidx + 1) >> 1)];
sum = sum + ( evenFlag* co3 ) * s_srcPatch[1 + (tidy >> 1)][1 + ((tidx + 2) >> 1)];
}
s_dstPatch[2 + tidy][tidx] = sum;
if (tidy < 2)
{
sum = 0;
if (eveny)
{
sum = (evenFlag * co3 ) * s_srcPatch[lsizey-16][1 + ((tidx - 2) >> 1)];
sum = sum + ( oddFlag * co2 ) * s_srcPatch[lsizey-16][1 + ((tidx - 1) >> 1)];
sum = sum + (evenFlag * co1 ) * s_srcPatch[lsizey-16][1 + ((tidx ) >> 1)];
sum = sum + ( oddFlag * co2 ) * s_srcPatch[lsizey-16][1 + ((tidx + 1) >> 1)];
sum = sum + (evenFlag * co3 ) * s_srcPatch[lsizey-16][1 + ((tidx + 2) >> 1)];
}
s_dstPatch[tidy][tidx] = sum;
}
if (tidy > 13)
{
sum = 0;
if (eveny)
{
sum = (evenFlag * co3) * s_srcPatch[lsizey-7][1 + ((tidx - 2) >> 1)];
sum = sum + ( oddFlag * co2) * s_srcPatch[lsizey-7][1 + ((tidx - 1) >> 1)];
sum = sum + (evenFlag * co1) * s_srcPatch[lsizey-7][1 + ((tidx ) >> 1)];
sum = sum + ( oddFlag * co2) * s_srcPatch[lsizey-7][1 + ((tidx + 1) >> 1)];
sum = sum + (evenFlag * co3) * s_srcPatch[lsizey-7][1 + ((tidx + 2) >> 1)];
}
s_dstPatch[4 + tidy][tidx] = sum;
}
barrier(CLK_LOCAL_MEM_FENCE);
sum = co3 * s_dstPatch[2 + tidy - 2][tidx];
sum = sum + co2 * s_dstPatch[2 + tidy - 1][tidx];
sum = sum + co1 * s_dstPatch[2 + tidy ][tidx];
sum = sum + co2 * s_dstPatch[2 + tidy + 1][tidx];
sum = sum + co3 * s_dstPatch[2 + tidy + 2][tidx];
if ((x < dst_cols) && (y < dst_rows))
dstData[x + y * dst_step / (int)sizeof(T)] = convertToT(4.0f * sum);
}

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@ -41,6 +41,7 @@
//M*/
#include "precomp.hpp"
#include "opencl_kernels.hpp"
namespace cv
{
@ -400,12 +401,99 @@ pyrUp_( const Mat& _src, Mat& _dst, int)
typedef void (*PyrFunc)(const Mat&, Mat&, int);
static bool ocl_pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
if (((channels != 1) && (channels != 2) && (channels != 4))
|| (borderType != BORDER_DEFAULT))
return false;
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if ((depth == CV_64F) && !(doubleSupport))
return false;
Size ssize = _src.size();
Size dsize = _dsz.area() == 0 ? Size((ssize.width + 1) / 2, (ssize.height + 1) / 2) : _dsz;
CV_Assert( ssize.width > 0 && ssize.height > 0 &&
std::abs(dsize.width*2 - ssize.width) <= 2 &&
std::abs(dsize.height*2 - ssize.height) <= 2 );
UMat src = _src.getUMat();
_dst.create( dsize, src.type() );
UMat dst = _dst.getUMat();
const char * const kernelName = "pyrDown";
ocl::ProgramSource2 program = ocl::imgproc::pyr_down_oclsrc;
ocl::Kernel k;
int float_depth = depth == CV_64F ? CV_64F : CV_32F;
char cvt[2][50];
k.create(kernelName, program,
format("-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s",
ocl::typeToStr(type), ocl::typeToStr(CV_MAKETYPE(float_depth, channels)),
ocl::convertTypeStr(float_depth, depth, channels, cvt[0]),
ocl::convertTypeStr(depth, float_depth, channels, cvt[1]),
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst));
size_t localThreads[2] = { 256, 1 };
size_t globalThreads[2] = { src.cols, dst.rows };
return k.run(2, globalThreads, localThreads, false);
}
static bool ocl_pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
if (((channels != 1) && (channels != 2) && (channels != 4))
|| (borderType != BORDER_DEFAULT))
return false;
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if ((depth == CV_64F) && !(doubleSupport))
return false;
Size ssize = _src.size();
if ((_dsz.area() != 0) && (_dsz != Size(ssize.width * 2, ssize.height * 2)))
return false;
UMat src = _src.getUMat();
Size dsize = Size(ssize.width * 2, ssize.height * 2);
_dst.create( dsize, src.type() );
UMat dst = _dst.getUMat();
const char * const kernelName = "pyrUp";
ocl::ProgramSource2 program = ocl::imgproc::pyr_up_oclsrc;
ocl::Kernel k;
int float_depth = depth == CV_64F ? CV_64F : CV_32F;
char cvt[2][50];
k.create(kernelName, program,
format("-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s",
ocl::typeToStr(type), ocl::typeToStr(CV_MAKETYPE(float_depth, channels)),
ocl::convertTypeStr(float_depth, depth, channels, cvt[0]),
ocl::convertTypeStr(depth, float_depth, channels, cvt[1]),
doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
k.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnly(dst));
size_t globalThreads[2] = {dst.cols, dst.rows};
size_t localThreads[2] = {16, 16};
return k.run(2, globalThreads, localThreads, false);
}
}
void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
if (ocl::useOpenCL() && _dst.isUMat() &&
ocl_pyrDown(_src, _dst, _dsz, borderType))
return;
Mat src = _src.getMat();
Size dsz = _dsz == Size() ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz;
Size dsz = _dsz.area() == 0 ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz;
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();
@ -434,8 +522,12 @@ void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borde
void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{
if (ocl::useOpenCL() && _dst.isUMat() &&
ocl_pyrUp(_src, _dst, _dsz, borderType))
return;
Mat src = _src.getMat();
Size dsz = _dsz == Size() ? Size(src.cols*2, src.rows*2) : _dsz;
Size dsz = _dsz.area() == 0 ? Size(src.cols*2, src.rows*2) : _dsz;
_dst.create( dsz, src.type() );
Mat dst = _dst.getMat();

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@ -0,0 +1,142 @@
///////////////////////////////////////////////////////////////////////////////////////
//
// 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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Yao Wang yao@multicorewareinc.com
//
// 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*/
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
PARAM_TEST_CASE(PyrTestBase, MatDepth, Channels, bool)
{
int depth, channels;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src)
TEST_DECLARE_OUTPUT_PARAMETER(dst)
virtual void SetUp()
{
depth = GET_PARAM(0);
channels = GET_PARAM(1);
use_roi = GET_PARAM(2);
}
void generateTestData(Size src_roiSize, Size dst_roiSize)
{
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, src_roiSize, srcBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, dst_roiSize, dstBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE);
UMAT_UPLOAD_INPUT_PARAMETER(src)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
}
void Near(double threshold = 0.0)
{
OCL_EXPECT_MATS_NEAR(dst, threshold);
}
};
/////////////////////// PyrDown //////////////////////////
typedef PyrTestBase PyrDown;
OCL_TEST_P(PyrDown, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
Size src_roiSize = randomSize(1, MAX_VALUE);
Size dst_roiSize = Size(randomInt((src_roiSize.width - 1) / 2, (src_roiSize.width + 3) / 2),
randomInt((src_roiSize.height - 1) / 2, (src_roiSize.height + 3) / 2));
dst_roiSize = dst_roiSize.area() == 0 ? Size((src_roiSize.width + 1) / 2, (src_roiSize.height + 1) / 2) : dst_roiSize;
generateTestData(src_roiSize, dst_roiSize);
OCL_OFF(pyrDown(src_roi, dst_roi, dst_roiSize));
OCL_ON(pyrDown(usrc_roi, udst_roi, dst_roiSize));
Near(depth == CV_32F ? 1e-4f : 1.0f);
}
}
OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrDown, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 4),
Bool()
));
/////////////////////// PyrUp //////////////////////////
typedef PyrTestBase PyrUp;
OCL_TEST_P(PyrUp, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
Size src_roiSize = randomSize(1, MAX_VALUE);
Size dst_roiSize = Size(2 * src_roiSize.width, 2 * src_roiSize.height);
generateTestData(src_roiSize, dst_roiSize);
OCL_OFF(pyrUp(src_roi, dst_roi, dst_roiSize));
OCL_ON(pyrUp(usrc_roi, udst_roi, dst_roiSize));
Near(depth == CV_32F ? 1e-4f : 1.0f);
}
}
OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 4),
Bool()
));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL