145 lines
5.4 KiB
C++
145 lines
5.4 KiB
C++
/*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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#ifndef OPENCV_CORE_CUDA_TYPES_HPP
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#define OPENCV_CORE_CUDA_TYPES_HPP
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#ifndef __cplusplus
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# error cuda_types.hpp header must be compiled as C++
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#endif
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#if defined(__OPENCV_BUILD) && defined(__clang__)
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#pragma clang diagnostic ignored "-Winconsistent-missing-override"
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#endif
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#if defined(__OPENCV_BUILD) && defined(__GNUC__) && __GNUC__ >= 5
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#pragma GCC diagnostic ignored "-Wsuggest-override"
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#endif
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/** @file
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* @deprecated Use @ref cudev instead.
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*/
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//! @cond IGNORED
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#ifdef __CUDACC__
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#define __CV_CUDA_HOST_DEVICE__ __host__ __device__ __forceinline__
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#else
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#define __CV_CUDA_HOST_DEVICE__
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#endif
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namespace cv
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{
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namespace cuda
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{
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// Simple lightweight structures that encapsulates information about an image on device.
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// It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile
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template <typename T> struct DevPtr
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{
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typedef T elem_type;
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typedef int index_type;
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enum { elem_size = sizeof(elem_type) };
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T* data;
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__CV_CUDA_HOST_DEVICE__ DevPtr() : data(0) {}
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__CV_CUDA_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {}
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__CV_CUDA_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
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__CV_CUDA_HOST_DEVICE__ operator T*() { return data; }
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__CV_CUDA_HOST_DEVICE__ operator const T*() const { return data; }
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};
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template <typename T> struct PtrSz : public DevPtr<T>
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{
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__CV_CUDA_HOST_DEVICE__ PtrSz() : size(0) {}
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__CV_CUDA_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr<T>(data_), size(size_) {}
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size_t size;
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};
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template <typename T> struct PtrStep : public DevPtr<T>
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{
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__CV_CUDA_HOST_DEVICE__ PtrStep() : step(0) {}
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__CV_CUDA_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr<T>(data_), step(step_) {}
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size_t step;
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__CV_CUDA_HOST_DEVICE__ T* ptr(int y = 0) { return ( T*)( ( char*)DevPtr<T>::data + y * step); }
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__CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }
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__CV_CUDA_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; }
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__CV_CUDA_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
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};
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template <typename T> struct PtrStepSz : public PtrStep<T>
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{
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__CV_CUDA_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {}
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__CV_CUDA_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_)
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: PtrStep<T>(data_, step_), cols(cols_), rows(rows_) {}
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template <typename U>
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explicit PtrStepSz(const PtrStepSz<U>& d) : PtrStep<T>((T*)d.data, d.step), cols(d.cols), rows(d.rows){}
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int cols;
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int rows;
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};
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typedef PtrStepSz<unsigned char> PtrStepSzb;
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typedef PtrStepSz<unsigned short> PtrStepSzus;
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typedef PtrStepSz<float> PtrStepSzf;
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typedef PtrStepSz<int> PtrStepSzi;
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typedef PtrStep<unsigned char> PtrStepb;
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typedef PtrStep<unsigned short> PtrStepus;
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typedef PtrStep<float> PtrStepf;
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typedef PtrStep<int> PtrStepi;
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}
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}
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//! @endcond
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#endif /* OPENCV_CORE_CUDA_TYPES_HPP */
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