added cv::blendLinear
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145
modules/imgproc/src/blend.cpp
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145
modules/imgproc/src/blend.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Nathan, liujun@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include "opencl_kernels.hpp"
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namespace cv {
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template <typename T>
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class BlendLinearInvoker :
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public ParallelLoopBody
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{
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public:
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BlendLinearInvoker(const Mat & _src1, const Mat & _src2, const Mat & _weights1,
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const Mat & _weights2, Mat & _dst) :
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src1(&_src1), src2(&_src2), weights1(&_weights1), weights2(&_weights2), dst(&_dst)
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{
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}
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virtual void operator() (const Range & range) const
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{
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int cn = src1->channels(), width = src1->cols * cn;
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for (int y = range.start; y < range.end; ++y)
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{
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const float * const weights1_row = weights1->ptr<float>(y);
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const float * const weights2_row = weights2->ptr<float>(y);
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const T * const src1_row = src1->ptr<T>(y);
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const T * const src2_row = src2->ptr<T>(y);
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T * const dst_row = dst->ptr<T>(y);
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for (int x = 0; x < width; ++x)
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{
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int x1 = x / cn;
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float w1 = weights1_row[x1], w2 = weights2_row[x1];
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float den = (w1 + w2 + 1e-5f);
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float num = (src1_row[x] * w1 + src2_row[x] * w2);
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dst_row[x] = saturate_cast<T>(num / den);
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}
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}
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}
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private:
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const BlendLinearInvoker & operator= (const BlendLinearInvoker &);
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BlendLinearInvoker(const BlendLinearInvoker &);
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const Mat * src1, * src2, * weights1, * weights2;
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Mat * dst;
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};
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static bool ocl_blendLinear( InputArray _src1, InputArray _src2, InputArray _weights1, InputArray _weights2, OutputArray _dst )
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{
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int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
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char cvt[30];
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ocl::Kernel k("blendLinear", ocl::imgproc::blend_linear_oclsrc,
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format("-D T=%s -D cn=%d -D convertToT=%s", ocl::typeToStr(depth),
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cn, ocl::convertTypeStr(CV_32F, depth, 1, cvt)));
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if (k.empty())
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return false;
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UMat src1 = _src1.getUMat(), src2 = _src2.getUMat(), weights1 = _weights1.getUMat(),
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weights2 = _weights2.getUMat(), dst = _dst.getUMat();
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k.args(ocl::KernelArg::ReadOnlyNoSize(src1), ocl::KernelArg::ReadOnlyNoSize(src2),
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ocl::KernelArg::ReadOnlyNoSize(weights1), ocl::KernelArg::ReadOnlyNoSize(weights2),
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ocl::KernelArg::WriteOnly(dst));
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size_t globalsize[2] = { dst.cols, dst.rows };
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return k.run(2, globalsize, NULL, false);
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}
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}
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void cv::blendLinear( InputArray _src1, InputArray _src2, InputArray _weights1, InputArray _weights2, OutputArray _dst )
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{
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int type = _src1.type(), depth = CV_MAT_DEPTH(type);
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Size size = _src1.size();
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CV_Assert(depth == CV_8U || depth == CV_32F);
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CV_Assert(size == _src2.size() && size == _weights1.size() && size == _weights2.size());
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CV_Assert(type == _src2.type() && _weights1.type() == CV_32FC1 && _weights2.type() == CV_32FC1);
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_dst.create(size, type);
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if (ocl::useOpenCL() && _dst.isUMat() && ocl_blendLinear(_src1, _src2, _weights1, _weights2, _dst))
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return;
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Mat src1 = _src1.getMat(), src2 = _src2.getMat(), weights1 = _weights1.getMat(),
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weights2 = _weights2.getMat(), dst = _dst.getMat();
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if (depth == CV_8U)
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{
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BlendLinearInvoker<uchar> invoker(src1, src2, weights1, weights2, dst);
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parallel_for_(Range(0, src1.rows), invoker, dst.total()/(double)(1<<16));
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}
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else if (depth == CV_32F)
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{
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BlendLinearInvoker<float> invoker(src1, src2, weights1, weights2, dst);
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parallel_for_(Range(0, src1.rows), invoker, dst.total()/(double)(1<<16));
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}
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}
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