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208 lines
6.6 KiB
Plaintext
208 lines
6.6 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/cudaarithm.hpp"
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#include "opencv2/cudev.hpp"
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using namespace cv;
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using namespace cv::cudev;
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namespace
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{
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texture<uchar, cudaTextureType1D, cudaReadModeElementType> texLutTable;
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class LookUpTableImpl : public LookUpTable
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{
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public:
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LookUpTableImpl(InputArray lut);
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~LookUpTableImpl();
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void transform(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
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private:
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GpuMat d_lut;
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cudaTextureObject_t texLutTableObj;
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bool cc30;
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};
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LookUpTableImpl::LookUpTableImpl(InputArray _lut)
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{
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if (_lut.kind() == _InputArray::GPU_MAT)
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{
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d_lut = _lut.getGpuMat();
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}
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else
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{
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Mat h_lut = _lut.getMat();
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d_lut.upload(Mat(1, 256, h_lut.type(), h_lut.data));
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}
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CV_Assert( d_lut.depth() == CV_8U );
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CV_Assert( d_lut.rows == 1 && d_lut.cols == 256 );
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cc30 = deviceSupports(FEATURE_SET_COMPUTE_30);
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if (cc30)
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{
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// Use the texture object
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cudaResourceDesc texRes;
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std::memset(&texRes, 0, sizeof(texRes));
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texRes.resType = cudaResourceTypeLinear;
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texRes.res.linear.devPtr = d_lut.data;
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texRes.res.linear.desc = cudaCreateChannelDesc<uchar>();
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texRes.res.linear.sizeInBytes = 256 * d_lut.channels() * sizeof(uchar);
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cudaTextureDesc texDescr;
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std::memset(&texDescr, 0, sizeof(texDescr));
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CV_CUDEV_SAFE_CALL( cudaCreateTextureObject(&texLutTableObj, &texRes, &texDescr, 0) );
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}
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else
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{
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// Use the texture reference
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cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar>();
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CV_CUDEV_SAFE_CALL( cudaBindTexture(0, &texLutTable, d_lut.data, &desc) );
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}
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}
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LookUpTableImpl::~LookUpTableImpl()
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{
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if (cc30)
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{
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// Use the texture object
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cudaDestroyTextureObject(texLutTableObj);
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}
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else
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{
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// Use the texture reference
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cudaUnbindTexture(texLutTable);
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}
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}
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struct LutTablePtrC1
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{
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typedef uchar value_type;
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typedef uchar index_type;
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cudaTextureObject_t texLutTableObj;
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__device__ __forceinline__ uchar operator ()(uchar, uchar x) const
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{
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#if CV_CUDEV_ARCH < 300
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// Use the texture reference
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return tex1Dfetch(texLutTable, x);
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#else
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// Use the texture object
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return tex1Dfetch<uchar>(texLutTableObj, x);
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#endif
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}
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};
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struct LutTablePtrC3
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{
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typedef uchar3 value_type;
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typedef uchar3 index_type;
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cudaTextureObject_t texLutTableObj;
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__device__ __forceinline__ uchar3 operator ()(const uchar3&, const uchar3& x) const
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{
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#if CV_CUDEV_ARCH < 300
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// Use the texture reference
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return make_uchar3(tex1Dfetch(texLutTable, x.x * 3), tex1Dfetch(texLutTable, x.y * 3 + 1), tex1Dfetch(texLutTable, x.z * 3 + 2));
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#else
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// Use the texture object
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return make_uchar3(tex1Dfetch<uchar>(texLutTableObj, x.x * 3), tex1Dfetch<uchar>(texLutTableObj, x.y * 3 + 1), tex1Dfetch<uchar>(texLutTableObj, x.z * 3 + 2));
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#endif
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}
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};
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void LookUpTableImpl::transform(InputArray _src, OutputArray _dst, Stream& stream)
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{
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GpuMat src = _src.getGpuMat();
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const int cn = src.channels();
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const int lut_cn = d_lut.channels();
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CV_Assert( src.type() == CV_8UC1 || src.type() == CV_8UC3 );
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CV_Assert( lut_cn == 1 || lut_cn == cn );
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_dst.create(src.size(), src.type());
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GpuMat dst = _dst.getGpuMat();
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if (lut_cn == 1)
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{
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GpuMat_<uchar> src1(src.reshape(1));
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GpuMat_<uchar> dst1(dst.reshape(1));
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LutTablePtrC1 tbl;
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tbl.texLutTableObj = texLutTableObj;
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dst1.assign(lut_(src1, tbl), stream);
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}
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else if (lut_cn == 3)
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{
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GpuMat_<uchar3>& src3 = (GpuMat_<uchar3>&) src;
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GpuMat_<uchar3>& dst3 = (GpuMat_<uchar3>&) dst;
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LutTablePtrC3 tbl;
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tbl.texLutTableObj = texLutTableObj;
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dst3.assign(lut_(src3, tbl), stream);
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}
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}
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}
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Ptr<LookUpTable> cv::cuda::createLookUpTable(InputArray lut)
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{
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return makePtr<LookUpTableImpl>(lut);
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}
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#endif
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