2013-06-04 17:32:35 +08:00
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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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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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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2013-08-26 14:25:04 +08:00
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#include "opencv2/opencv_modules.hpp"
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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#ifndef HAVE_OPENCV_CUDEV
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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#error "opencv_cudev is required"
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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#else
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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#include "opencv2/cudaarithm.hpp"
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#include "opencv2/cudev.hpp"
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2014-12-24 18:38:02 +08:00
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#include "opencv2/core/private.cuda.hpp"
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2013-06-04 17:32:35 +08:00
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2014-12-24 18:38:02 +08:00
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using namespace cv;
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using namespace cv::cuda;
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2013-08-26 14:25:04 +08:00
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using namespace cv::cudev;
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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void bitMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op);
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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//////////////////////////////////////////////////////////////////////////////
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/// bitwise_not
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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void cv::cuda::bitwise_not(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream)
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{
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2014-12-24 18:38:02 +08:00
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GpuMat src = getInputMat(_src, stream);
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GpuMat mask = getInputMat(_mask, stream);
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2013-08-26 14:25:04 +08:00
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const int depth = src.depth();
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CV_DbgAssert( depth <= CV_32F );
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CV_DbgAssert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == src.size()) );
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2014-12-24 18:38:02 +08:00
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GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream);
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2013-08-26 14:25:04 +08:00
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2013-08-27 16:59:23 +08:00
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if (mask.empty())
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2013-06-04 17:32:35 +08:00
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{
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2013-08-27 16:59:23 +08:00
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const int bcols = (int) (src.cols * src.elemSize());
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if ((bcols & 3) == 0)
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{
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const int vcols = bcols >> 2;
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GlobPtrSz<uint> vsrc = globPtr((uint*) src.data, src.step, src.rows, vcols);
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GlobPtrSz<uint> vdst = globPtr((uint*) dst.data, dst.step, src.rows, vcols);
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gridTransformUnary(vsrc, vdst, bit_not<uint>(), stream);
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}
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else if ((bcols & 1) == 0)
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{
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const int vcols = bcols >> 1;
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GlobPtrSz<ushort> vsrc = globPtr((ushort*) src.data, src.step, src.rows, vcols);
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GlobPtrSz<ushort> vdst = globPtr((ushort*) dst.data, dst.step, src.rows, vcols);
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gridTransformUnary(vsrc, vdst, bit_not<ushort>(), stream);
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}
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else
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{
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GlobPtrSz<uchar> vsrc = globPtr((uchar*) src.data, src.step, src.rows, bcols);
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GlobPtrSz<uchar> vdst = globPtr((uchar*) dst.data, dst.step, src.rows, bcols);
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gridTransformUnary(vsrc, vdst, bit_not<uchar>(), stream);
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}
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2013-06-04 17:32:35 +08:00
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}
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2013-08-26 14:25:04 +08:00
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else
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{
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2013-08-27 16:59:23 +08:00
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if (depth == CV_32F || depth == CV_32S)
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{
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GlobPtrSz<uint> vsrc = globPtr((uint*) src.data, src.step, src.rows, src.cols * src.channels());
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GlobPtrSz<uint> vdst = globPtr((uint*) dst.data, dst.step, src.rows, src.cols * src.channels());
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gridTransformUnary(vsrc, vdst, bit_not<uint>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
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}
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else if (depth == CV_16S || depth == CV_16U)
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{
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GlobPtrSz<ushort> vsrc = globPtr((ushort*) src.data, src.step, src.rows, src.cols * src.channels());
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GlobPtrSz<ushort> vdst = globPtr((ushort*) dst.data, dst.step, src.rows, src.cols * src.channels());
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gridTransformUnary(vsrc, vdst, bit_not<ushort>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
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}
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else
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{
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GlobPtrSz<uchar> vsrc = globPtr((uchar*) src.data, src.step, src.rows, src.cols * src.channels());
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GlobPtrSz<uchar> vdst = globPtr((uchar*) dst.data, dst.step, src.rows, src.cols * src.channels());
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gridTransformUnary(vsrc, vdst, bit_not<uchar>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
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}
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2013-08-26 14:25:04 +08:00
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}
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2014-12-24 18:38:02 +08:00
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syncOutput(dst, _dst, stream);
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2013-08-26 14:25:04 +08:00
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}
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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//////////////////////////////////////////////////////////////////////////////
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/// Binary bitwise logical operations
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namespace
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{
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template <template <typename> class Op, typename T>
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void bitMatOp(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
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2013-06-04 17:32:35 +08:00
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{
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2013-08-26 14:25:04 +08:00
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GlobPtrSz<T> vsrc1 = globPtr((T*) src1.data, src1.step, src1.rows, src1.cols * src1.channels());
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GlobPtrSz<T> vsrc2 = globPtr((T*) src2.data, src2.step, src1.rows, src1.cols * src1.channels());
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GlobPtrSz<T> vdst = globPtr((T*) dst.data, dst.step, src1.rows, src1.cols * src1.channels());
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2013-06-04 17:32:35 +08:00
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if (mask.data)
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2013-08-26 14:25:04 +08:00
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gridTransformBinary(vsrc1, vsrc2, vdst, Op<T>(), singleMaskChannels(globPtr<uchar>(mask), src1.channels()), stream);
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2013-06-04 17:32:35 +08:00
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else
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2013-08-26 14:25:04 +08:00
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gridTransformBinary(vsrc1, vsrc2, vdst, Op<T>(), stream);
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2013-06-04 17:32:35 +08:00
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}
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2013-08-26 14:25:04 +08:00
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}
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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void bitMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op)
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{
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typedef void (*func_t)(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream);
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static const func_t funcs32[] =
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{
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bitMatOp<bit_and, uint>,
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bitMatOp<bit_or, uint>,
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bitMatOp<bit_xor, uint>
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};
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static const func_t funcs16[] =
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{
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bitMatOp<bit_and, ushort>,
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bitMatOp<bit_or, ushort>,
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bitMatOp<bit_xor, ushort>
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};
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static const func_t funcs8[] =
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{
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bitMatOp<bit_and, uchar>,
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bitMatOp<bit_or, uchar>,
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bitMatOp<bit_xor, uchar>
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};
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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const int depth = src1.depth();
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2013-06-04 17:32:35 +08:00
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2013-08-26 14:25:04 +08:00
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CV_DbgAssert( depth <= CV_32F );
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CV_DbgAssert( op >= 0 && op < 3 );
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2013-06-04 17:32:35 +08:00
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2013-08-27 16:59:23 +08:00
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if (mask.empty())
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2013-08-26 14:25:04 +08:00
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{
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2013-08-27 16:59:23 +08:00
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const int bcols = (int) (src1.cols * src1.elemSize());
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if ((bcols & 3) == 0)
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{
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const int vcols = bcols >> 2;
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GpuMat vsrc1(src1.rows, vcols, CV_32SC1, src1.data, src1.step);
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GpuMat vsrc2(src1.rows, vcols, CV_32SC1, src2.data, src2.step);
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GpuMat vdst(src1.rows, vcols, CV_32SC1, dst.data, dst.step);
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funcs32[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
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}
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else if ((bcols & 1) == 0)
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{
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const int vcols = bcols >> 1;
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GpuMat vsrc1(src1.rows, vcols, CV_16UC1, src1.data, src1.step);
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GpuMat vsrc2(src1.rows, vcols, CV_16UC1, src2.data, src2.step);
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GpuMat vdst(src1.rows, vcols, CV_16UC1, dst.data, dst.step);
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funcs16[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
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}
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else
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{
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GpuMat vsrc1(src1.rows, bcols, CV_8UC1, src1.data, src1.step);
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GpuMat vsrc2(src1.rows, bcols, CV_8UC1, src2.data, src2.step);
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GpuMat vdst(src1.rows, bcols, CV_8UC1, dst.data, dst.step);
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funcs8[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
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}
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2013-08-26 14:25:04 +08:00
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}
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else
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{
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2013-08-27 16:59:23 +08:00
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if (depth == CV_32F || depth == CV_32S)
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{
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funcs32[op](src1, src2, dst, mask, stream);
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}
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else if (depth == CV_16S || depth == CV_16U)
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{
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funcs16[op](src1, src2, dst, mask, stream);
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}
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else
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{
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funcs8[op](src1, src2, dst, mask, stream);
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}
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2013-08-26 14:25:04 +08:00
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}
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2013-06-04 17:32:35 +08:00
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}
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2013-08-26 14:25:04 +08:00
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#endif
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