Open Source Computer Vision Library
https://opencv.org/
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194 lines
6.3 KiB
194 lines
6.3 KiB
/*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 "../lut.hpp" |
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#include "opencv2/cudaarithm.hpp" |
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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; |
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using namespace cv::cuda; |
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using namespace cv::cudev; |
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namespace cv { namespace cuda { |
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texture<uchar, cudaTextureType1D, cudaReadModeElementType> texLutTable; |
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LookUpTableImpl::LookUpTableImpl(InputArray _lut) |
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{ |
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if (_lut.kind() == _InputArray::CUDA_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 = getInputMat(_src, stream); |
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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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GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream); |
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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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syncOutput(dst, _dst, stream); |
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} |
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} } |
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#endif
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