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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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., 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*/
#include "opencv2/opencv_modules.hpp"
#ifndef HAVE_OPENCV_CUDEV
#error "opencv_cudev is required"
#else
#include "opencv2/cudaarithm.hpp"
#include "opencv2/cudev.hpp"
#include "opencv2/core/private.cuda.hpp"
using namespace cv;
using namespace cv::cuda;
using namespace cv::cudev;
void bitMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op);
//////////////////////////////////////////////////////////////////////////////
/// bitwise_not
void cv::cuda::bitwise_not(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream)
{
GpuMat src = getInputMat(_src, stream);
GpuMat mask = getInputMat(_mask, stream);
const int depth = src.depth();
CV_DbgAssert( depth <= CV_32F );
CV_DbgAssert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == src.size()) );
GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream);
if (mask.empty())
{
const int bcols = (int) (src.cols * src.elemSize());
if ((bcols & 3) == 0)
{
const int vcols = bcols >> 2;
GlobPtrSz<uint> vsrc = globPtr((uint*) src.data, src.step, src.rows, vcols);
GlobPtrSz<uint> vdst = globPtr((uint*) dst.data, dst.step, src.rows, vcols);
gridTransformUnary(vsrc, vdst, bit_not<uint>(), stream);
}
else if ((bcols & 1) == 0)
{
const int vcols = bcols >> 1;
GlobPtrSz<ushort> vsrc = globPtr((ushort*) src.data, src.step, src.rows, vcols);
GlobPtrSz<ushort> vdst = globPtr((ushort*) dst.data, dst.step, src.rows, vcols);
gridTransformUnary(vsrc, vdst, bit_not<ushort>(), stream);
}
else
{
GlobPtrSz<uchar> vsrc = globPtr((uchar*) src.data, src.step, src.rows, bcols);
GlobPtrSz<uchar> vdst = globPtr((uchar*) dst.data, dst.step, src.rows, bcols);
gridTransformUnary(vsrc, vdst, bit_not<uchar>(), stream);
}
}
else
{
if (depth == CV_32F || depth == CV_32S)
{
GlobPtrSz<uint> vsrc = globPtr((uint*) src.data, src.step, src.rows, src.cols * src.channels());
GlobPtrSz<uint> vdst = globPtr((uint*) dst.data, dst.step, src.rows, src.cols * src.channels());
gridTransformUnary(vsrc, vdst, bit_not<uint>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
}
else if (depth == CV_16S || depth == CV_16U)
{
GlobPtrSz<ushort> vsrc = globPtr((ushort*) src.data, src.step, src.rows, src.cols * src.channels());
GlobPtrSz<ushort> vdst = globPtr((ushort*) dst.data, dst.step, src.rows, src.cols * src.channels());
gridTransformUnary(vsrc, vdst, bit_not<ushort>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
}
else
{
GlobPtrSz<uchar> vsrc = globPtr((uchar*) src.data, src.step, src.rows, src.cols * src.channels());
GlobPtrSz<uchar> vdst = globPtr((uchar*) dst.data, dst.step, src.rows, src.cols * src.channels());
gridTransformUnary(vsrc, vdst, bit_not<uchar>(), singleMaskChannels(globPtr<uchar>(mask), src.channels()), stream);
}
}
syncOutput(dst, _dst, stream);
}
//////////////////////////////////////////////////////////////////////////////
/// Binary bitwise logical operations
namespace
{
template <template <typename> class Op, typename T>
void bitMatOp(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
GlobPtrSz<T> vsrc1 = globPtr((T*) src1.data, src1.step, src1.rows, src1.cols * src1.channels());
GlobPtrSz<T> vsrc2 = globPtr((T*) src2.data, src2.step, src1.rows, src1.cols * src1.channels());
GlobPtrSz<T> vdst = globPtr((T*) dst.data, dst.step, src1.rows, src1.cols * src1.channels());
if (mask.data)
gridTransformBinary(vsrc1, vsrc2, vdst, Op<T>(), singleMaskChannels(globPtr<uchar>(mask), src1.channels()), stream);
else
gridTransformBinary(vsrc1, vsrc2, vdst, Op<T>(), stream);
}
}
void bitMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op)
{
typedef void (*func_t)(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream);
static const func_t funcs32[] =
{
bitMatOp<bit_and, uint>,
bitMatOp<bit_or, uint>,
bitMatOp<bit_xor, uint>
};
static const func_t funcs16[] =
{
bitMatOp<bit_and, ushort>,
bitMatOp<bit_or, ushort>,
bitMatOp<bit_xor, ushort>
};
static const func_t funcs8[] =
{
bitMatOp<bit_and, uchar>,
bitMatOp<bit_or, uchar>,
bitMatOp<bit_xor, uchar>
};
const int depth = src1.depth();
CV_DbgAssert( depth <= CV_32F );
CV_DbgAssert( op >= 0 && op < 3 );
if (mask.empty())
{
const int bcols = (int) (src1.cols * src1.elemSize());
if ((bcols & 3) == 0)
{
const int vcols = bcols >> 2;
GpuMat vsrc1(src1.rows, vcols, CV_32SC1, src1.data, src1.step);
GpuMat vsrc2(src1.rows, vcols, CV_32SC1, src2.data, src2.step);
GpuMat vdst(src1.rows, vcols, CV_32SC1, dst.data, dst.step);
funcs32[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
}
else if ((bcols & 1) == 0)
{
const int vcols = bcols >> 1;
GpuMat vsrc1(src1.rows, vcols, CV_16UC1, src1.data, src1.step);
GpuMat vsrc2(src1.rows, vcols, CV_16UC1, src2.data, src2.step);
GpuMat vdst(src1.rows, vcols, CV_16UC1, dst.data, dst.step);
funcs16[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
}
else
{
GpuMat vsrc1(src1.rows, bcols, CV_8UC1, src1.data, src1.step);
GpuMat vsrc2(src1.rows, bcols, CV_8UC1, src2.data, src2.step);
GpuMat vdst(src1.rows, bcols, CV_8UC1, dst.data, dst.step);
funcs8[op](vsrc1, vsrc2, vdst, GpuMat(), stream);
}
}
else
{
if (depth == CV_32F || depth == CV_32S)
{
funcs32[op](src1, src2, dst, mask, stream);
}
else if (depth == CV_16S || depth == CV_16U)
{
funcs16[op](src1, src2, dst, mask, stream);
}
else
{
funcs8[op](src1, src2, dst, mask, stream);
}
}
}
#endif