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172 lines
8.5 KiB
Plaintext
172 lines
8.5 KiB
Plaintext
/*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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#include "opencv2/opencv_modules.hpp"
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#ifndef HAVE_OPENCV_CUDEV
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#error "opencv_cudev is required"
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#else
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#include "opencv2/cudev.hpp"
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#include "opencv2/core/private.cuda.hpp"
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using namespace cv::cudev;
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void bitScalar(const GpuMat& src, cv::Scalar value, bool, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op);
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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 bitScalarOp(const GpuMat& src, uint value, GpuMat& dst, Stream& stream)
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{
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gridTransformUnary(globPtr<T>(src), globPtr<T>(dst), bind2nd(Op<T>(), value), stream);
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}
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typedef void (*bit_scalar_func_t)(const GpuMat& src, uint value, GpuMat& dst, Stream& stream);
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template <typename T, bit_scalar_func_t func> struct BitScalar
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{
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static void call(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& stream)
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{
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func(src, cv::saturate_cast<T>(value[0]), dst, stream);
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}
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};
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template <bit_scalar_func_t func> struct BitScalar4
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{
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static void call(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& stream)
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{
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uint packedVal = 0;
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packedVal |= cv::saturate_cast<uchar>(value[0]);
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packedVal |= cv::saturate_cast<uchar>(value[1]) << 8;
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packedVal |= cv::saturate_cast<uchar>(value[2]) << 16;
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packedVal |= cv::saturate_cast<uchar>(value[3]) << 24;
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func(src, packedVal, dst, stream);
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}
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};
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template <int DEPTH, int cn> struct NppBitwiseCFunc
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{
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typedef typename NPPTypeTraits<DEPTH>::npp_type npp_type;
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typedef NppStatus (*func_t)(const npp_type* pSrc1, int nSrc1Step, const npp_type* pConstants, npp_type* pDst, int nDstStep, NppiSize oSizeROI);
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};
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template <int DEPTH, int cn, typename NppBitwiseCFunc<DEPTH, cn>::func_t func> struct NppBitwiseC
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{
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typedef typename NppBitwiseCFunc<DEPTH, cn>::npp_type npp_type;
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static void call(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& _stream)
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{
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cudaStream_t stream = StreamAccessor::getStream(_stream);
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NppStreamHandler h(stream);
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NppiSize oSizeROI;
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oSizeROI.width = src.cols;
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oSizeROI.height = src.rows;
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const npp_type pConstants[] =
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{
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cv::saturate_cast<npp_type>(value[0]),
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cv::saturate_cast<npp_type>(value[1]),
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cv::saturate_cast<npp_type>(value[2]),
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cv::saturate_cast<npp_type>(value[3])
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};
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nppSafeCall( func(src.ptr<npp_type>(), static_cast<int>(src.step), pConstants, dst.ptr<npp_type>(), static_cast<int>(dst.step), oSizeROI) );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() );
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}
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};
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}
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void bitScalar(const GpuMat& src, cv::Scalar value, bool, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int op)
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{
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(void) mask;
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typedef void (*func_t)(const GpuMat& src, cv::Scalar value, GpuMat& dst, Stream& stream);
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static const func_t funcs[3][6][4] =
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{
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{
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{BitScalar<uchar, bitScalarOp<bit_and, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiAndC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_and, uint> >::call},
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{BitScalar<uchar, bitScalarOp<bit_and, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiAndC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_and, uint> >::call},
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{BitScalar<ushort, bitScalarOp<bit_and, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiAndC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiAndC_16u_C4R>::call},
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{BitScalar<ushort, bitScalarOp<bit_and, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiAndC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiAndC_16u_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_and, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiAndC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiAndC_32s_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_and, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiAndC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiAndC_32s_C4R>::call}
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},
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{
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{BitScalar<uchar, bitScalarOp<bit_or, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiOrC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_or, uint> >::call},
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{BitScalar<uchar, bitScalarOp<bit_or, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiOrC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_or, uint> >::call},
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{BitScalar<ushort, bitScalarOp<bit_or, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiOrC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiOrC_16u_C4R>::call},
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{BitScalar<ushort, bitScalarOp<bit_or, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiOrC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiOrC_16u_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_or, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiOrC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiOrC_32s_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_or, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiOrC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiOrC_32s_C4R>::call}
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},
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{
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{BitScalar<uchar, bitScalarOp<bit_xor, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiXorC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_xor, uint> >::call},
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{BitScalar<uchar, bitScalarOp<bit_xor, uchar> >::call , 0, NppBitwiseC<CV_8U , 3, nppiXorC_8u_C3R >::call, BitScalar4< bitScalarOp<bit_xor, uint> >::call},
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{BitScalar<ushort, bitScalarOp<bit_xor, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiXorC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiXorC_16u_C4R>::call},
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{BitScalar<ushort, bitScalarOp<bit_xor, ushort> >::call, 0, NppBitwiseC<CV_16U, 3, nppiXorC_16u_C3R>::call, NppBitwiseC<CV_16U, 4, nppiXorC_16u_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_xor, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiXorC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiXorC_32s_C4R>::call},
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{BitScalar<uint, bitScalarOp<bit_xor, uint> >::call , 0, NppBitwiseC<CV_32S, 3, nppiXorC_32s_C3R>::call, NppBitwiseC<CV_32S, 4, nppiXorC_32s_C4R>::call}
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}
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};
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const int depth = src.depth();
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const int cn = src.channels();
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CV_DbgAssert( depth <= CV_32F );
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CV_DbgAssert( cn == 1 || cn == 3 || cn == 4 );
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CV_DbgAssert( mask.empty() );
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CV_DbgAssert( op >= 0 && op < 3 );
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funcs[op][depth][cn - 1](src, value, dst, stream);
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}
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#endif
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