--- /dev/null
+// 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
+// Rock Li, Rock.li@amd.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.
+
+__kernel void bilateral(__global const uchar * src, int src_step, int src_offset,
+ __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
+ __constant float * color_weight, __constant float * space_weight, __constant int * space_ofs)
+{
+ int x = get_global_id(0);
+ int y = get_global_id(1);
+
+ if (y < dst_rows && x < dst_cols)
+ {
+ int src_index = mad24(y + radius, src_step, x + radius + src_offset);
+ int dst_index = mad24(y, dst_step, x + dst_offset);
+ float sum = 0.f, wsum = 0.f;
+ int val0 = convert_int(src[src_index]);
+
+ #pragma unroll
+ for (int k = 0; k < maxk; k++ )
+ {
+ int val = convert_int(src[src_index + space_ofs[k]]);
+ float w = space_weight[k] * color_weight[abs(val - val0)];
+ sum += (float)(val) * w;
+ wsum += w;
+ }
+ dst[dst_index] = convert_uchar_rtz(sum / wsum + 0.5f);
+ }
+}
//M*/
#include "precomp.hpp"
+#include "opencl_kernels.hpp"
/*
* This file includes the code, contributed by Simon Perreault
};
#endif
+static bool ocl_bilateralFilter_8u(InputArray _src, OutputArray _dst, int d,
+ double sigma_color, double sigma_space,
+ int borderType)
+{
+ int type = _src.type(), cn = CV_MAT_CN(type);
+ int i, j, maxk, radius;
+
+ if ( type != CV_8UC1 )
+ return false;
+
+ if (sigma_color <= 0)
+ sigma_color = 1;
+ if (sigma_space <= 0)
+ sigma_space = 1;
+
+ double gauss_color_coeff = -0.5 / (sigma_color * sigma_color);
+ double gauss_space_coeff = -0.5 / (sigma_space * sigma_space);
+
+ if ( d <= 0 )
+ radius = cvRound(sigma_space * 1.5);
+ else
+ radius = d / 2;
+ radius = MAX(radius, 1);
+ d = radius * 2 + 1;
+
+ UMat src = _src.getUMat(), dst = _dst.getUMat(), temp;
+ if (src.u == dst.u)
+ return false;
+
+ copyMakeBorder(src, temp, radius, radius, radius, radius, borderType);
+
+ std::vector<float> _color_weight(cn * 256);
+ std::vector<float> _space_weight(d * d);
+ std::vector<int> _space_ofs(d * d);
+ float *color_weight = &_color_weight[0];
+ float *space_weight = &_space_weight[0];
+ int *space_ofs = &_space_ofs[0];
+
+ // initialize color-related bilateral filter coefficients
+ for( i = 0; i < 256 * cn; i++ )
+ color_weight[i] = (float)std::exp(i * i * gauss_color_coeff);
+
+ // initialize space-related bilateral filter coefficients
+ for( i = -radius, maxk = 0; i <= radius; i++ )
+ for( j = -radius; j <= radius; j++ )
+ {
+ double r = std::sqrt((double)i * i + (double)j * j);
+ if ( r > radius )
+ continue;
+ space_weight[maxk] = (float)std::exp(r * r * gauss_space_coeff);
+ space_ofs[maxk++] = (int)(i * temp.step + j);
+ }
+
+ ocl::Kernel k("bilateral", ocl::imgproc::bilateral_oclsrc,
+ format("-D radius=%d -D maxk=%d", radius, maxk));
+ if (k.empty())
+ return false;
+
+ Mat mcolor_weight(1, cn * 256, CV_32FC1, color_weight);
+ Mat mspace_weight(1, d * d, CV_32FC1, space_weight);
+ Mat mspace_ofs(1, d * d, CV_32SC1, space_ofs);
+ UMat ucolor_weight, uspace_weight, uspace_ofs;
+ mcolor_weight.copyTo(ucolor_weight);
+ mspace_weight.copyTo(uspace_weight);
+ mspace_ofs.copyTo(uspace_ofs);
+
+ k.args(ocl::KernelArg::ReadOnlyNoSize(temp), ocl::KernelArg::WriteOnly(dst),
+ ocl::KernelArg::PtrReadOnly(ucolor_weight),
+ ocl::KernelArg::PtrReadOnly(uspace_weight),
+ ocl::KernelArg::PtrReadOnly(uspace_ofs));
+
+ size_t globalsize[2] = { dst.cols, dst.rows };
+ return k.run(2, globalsize, NULL, false);
+}
+
static void
bilateralFilter_8u( const Mat& src, Mat& dst, int d,
double sigma_color, double sigma_space,
int borderType )
{
-
int cn = src.channels();
int i, j, maxk, radius;
Size size = src.size();
- CV_Assert( (src.type() == CV_8UC1 || src.type() == CV_8UC3) &&
- src.type() == dst.type() && src.size() == dst.size() &&
- src.data != dst.data );
+ CV_Assert( (src.type() == CV_8UC1 || src.type() == CV_8UC3) && src.data != dst.data );
if( sigma_color <= 0 )
sigma_color = 1;
{
j = -radius;
- for( ;j <= radius; j++ )
+ for( ; j <= radius; j++ )
{
double r = std::sqrt((double)i*i + (double)j*j);
if( r > radius )
float len, scale_index;
Size size = src.size();
- CV_Assert( (src.type() == CV_32FC1 || src.type() == CV_32FC3) &&
- src.type() == dst.type() && src.size() == dst.size() &&
- src.data != dst.data );
+ CV_Assert( (src.type() == CV_32FC1 || src.type() == CV_32FC3) && src.data != dst.data );
if( sigma_color <= 0 )
sigma_color = 1;
double sigmaColor, double sigmaSpace,
int borderType )
{
- Mat src = _src.getMat();
- _dst.create( src.size(), src.type() );
- Mat dst = _dst.getMat();
+ _dst.create( _src.size(), _src.type() );
+
+ if (ocl::useOpenCL() && _src.dims() <= 2 && _dst.isUMat() &&
+ ocl_bilateralFilter_8u(_src, _dst, d, sigmaColor, sigmaSpace, borderType))
+ return;
+
+ Mat src = _src.getMat(), dst = _dst.getMat();
if( src.depth() == CV_8U )
bilateralFilter_8u( src, dst, d, sigmaColor, sigmaSpace, borderType );
--- /dev/null
+/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+// Niko Li, newlife20080214@gmail.com
+// Jia Haipeng, jiahaipeng95@gmail.com
+// Zero Lin, Zero.Lin@amd.com
+// Zhang Ying, zhangying913@gmail.com
+// Yao Wang, bitwangyaoyao@gmail.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 "cvconfig.h"
+#include "opencv2/ts/ocl_test.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+PARAM_TEST_CASE(FilterTestBase, MatType,
+ int, // kernel size
+ Size, // dx, dy
+ int, // border type
+ double, // optional parameter
+ bool) // roi or not
+{
+ int type, borderType, ksize;
+ Size size;
+ double param;
+ bool useRoi;
+
+ TEST_DECLARE_INPUT_PARAMETER(src)
+ TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+ virtual void SetUp()
+ {
+ type = GET_PARAM(0);
+ ksize = GET_PARAM(1);
+ size = GET_PARAM(2);
+ borderType = GET_PARAM(3);
+ param = GET_PARAM(4);
+ useRoi = GET_PARAM(5);
+ }
+
+ void random_roi(int minSize = 1)
+ {
+ if (minSize == 0)
+ minSize = ksize;
+
+ Size roiSize = randomSize(minSize, MAX_VALUE);
+ Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, type, 5, 256);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, type, -60, 70);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+
+ void Near()
+ {
+ int depth = CV_MAT_DEPTH(type);
+ bool isFP = depth >= CV_32F;
+
+ if (isFP)
+ Near(1e-6, true);
+ else
+ Near(1, false);
+ }
+
+ void Near(double threshold, bool relative)
+ {
+ if (relative)
+ {
+ EXPECT_MAT_NEAR_RELATIVE(dst, udst, threshold);
+ EXPECT_MAT_NEAR_RELATIVE(dst_roi, udst_roi, threshold);
+ }
+ else
+ {
+ EXPECT_MAT_NEAR(dst, udst, threshold);
+ EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
+ }
+ }
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+// Bilateral
+
+typedef FilterTestBase Bilateral;
+
+OCL_TEST_P(Bilateral, Mat)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ double sigmacolor = rng.uniform(20, 100);
+ double sigmaspace = rng.uniform(10, 40);
+
+ OCL_OFF(cv::bilateralFilter(src_roi, dst_roi, ksize, sigmacolor, sigmaspace, borderType));
+ OCL_ON(cv::bilateralFilter(usrc_roi, udst_roi, ksize, sigmacolor, sigmaspace, borderType));
+
+ Near();
+ }
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+
+#define FILTER_BORDER_SET_NO_ISOLATED \
+ Values((int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, (int)BORDER_WRAP, (int)BORDER_REFLECT_101/*, \
+ (int)BORDER_CONSTANT|BORDER_ISOLATED, (int)BORDER_REPLICATE|BORDER_ISOLATED, \
+ (int)BORDER_REFLECT|BORDER_ISOLATED, (int)BORDER_WRAP|BORDER_ISOLATED, \
+ (int)BORDER_REFLECT_101|BORDER_ISOLATED*/) // WRAP and ISOLATED are not supported by cv:: version
+
+#define FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED \
+ Values((int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, /*(int)BORDER_WRAP,*/ (int)BORDER_REFLECT_101/*, \
+ (int)BORDER_CONSTANT|BORDER_ISOLATED, (int)BORDER_REPLICATE|BORDER_ISOLATED, \
+ (int)BORDER_REFLECT|BORDER_ISOLATED, (int)BORDER_WRAP|BORDER_ISOLATED, \
+ (int)BORDER_REFLECT_101|BORDER_ISOLATED*/) // WRAP and ISOLATED are not supported by cv:: version
+
+#define FILTER_DATATYPES Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_8UC4, \
+ CV_32FC1, CV_32FC3, CV_32FC4, \
+ CV_64FC1, CV_64FC3, CV_64FC4)
+
+OCL_INSTANTIATE_TEST_CASE_P(Filter, Bilateral, Combine(
+ Values((MatType)CV_8UC1),
+ Values(5, 9),
+ Values(Size(0, 0)), // not used
+ FILTER_BORDER_SET_NO_ISOLATED,
+ Values(0.0), // not used
+ Bool()));
+
+} } // namespace cvtest::ocl
+
+#endif // HAVE_OPENCL
projects / platform / upstream / opencv.git / commitdiff