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157 lines
4.8 KiB
C++
157 lines
4.8 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) 2008-2012, 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_ICF_HPP__
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#define __OPENCV_ICF_HPP__
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#include "opencv2/core/cuda_types.hpp"
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#include "cuda_runtime_api.h"
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#if defined __CUDACC__
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# define __device_inline__ __device__ __forceinline__
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#else
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# define __device_inline__
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#endif
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namespace cv { namespace softcascade { namespace cudev {
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typedef unsigned char uchar;
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typedef unsigned int uint;
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typedef unsigned short ushort;
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struct Octave
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{
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float scale;
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ushort2 size;
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ushort index;
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ushort stages;
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ushort shrinkage;
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Octave(const ushort i, const ushort s, const ushort sh, const ushort2 sz, const float sc)
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: scale(sc), size(sz), index(i), stages(s), shrinkage(sh) {}
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};
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struct Level
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{
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int octave;
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int step;
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float relScale;
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float scaling[2];// calculated according to Dollar paper
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uchar2 workRect;
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uchar2 objSize;
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Level(int idx, const Octave& oct, const float scale, const int w, const int h);
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__device_inline__ Level(){}
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};
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struct Node
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{
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uchar4 rect;
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// ushort channel;
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unsigned int threshold;
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enum { THRESHOLD_MASK = 0x0FFFFFFF };
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Node(const uchar4 r, const unsigned int ch, const unsigned int t) : rect(r), threshold(t + (ch << 28)) {}
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};
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struct Detection
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{
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ushort x;
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ushort y;
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ushort w;
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ushort h;
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float confidence;
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int kind;
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Detection(){}
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__device_inline__ Detection(int _x, int _y, uchar _w, uchar _h, float c)
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: x(static_cast<ushort>(_x)), y(static_cast<ushort>(_y)), w(_w), h(_h), confidence(c), kind(0) {}
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};
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struct GK107PolicyX4
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{
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enum {WARP = 32, STA_X = WARP, STA_Y = 8, SHRINKAGE = 4};
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typedef float2 roi_type;
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static const dim3 block()
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{
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return dim3(STA_X, STA_Y);
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}
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};
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template<typename Policy>
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struct CascadeInvoker
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{
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CascadeInvoker(): levels(0), stages(0), nodes(0), leaves(0), scales(0) {}
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CascadeInvoker(const cv::cuda::PtrStepSzb& _levels, const cv::cuda::PtrStepSzf& _stages,
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const cv::cuda::PtrStepSzb& _nodes, const cv::cuda::PtrStepSzf& _leaves)
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: levels((const Level*)_levels.ptr()),
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stages((const float*)_stages.ptr()),
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nodes((const Node*)_nodes.ptr()), leaves((const float*)_leaves.ptr()),
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scales(_levels.cols / sizeof(Level))
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{}
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const Level* levels;
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const float* stages;
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const Node* nodes;
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const float* leaves;
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int scales;
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void operator()(const cv::cuda::PtrStepSzb& roi, const cv::cuda::PtrStepSzi& hogluv, cv::cuda::PtrStepSz<uchar4> objects,
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const int downscales, const cudaStream_t& stream = 0) const;
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template<bool isUp>
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__device_inline__ void detect(Detection* objects, const unsigned int ndetections, unsigned int* ctr, const int downscales) const;
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};
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}}}
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#endif
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