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//M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and / or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M
#ifndef __OPENCV_ICF_HPP__
#define __OPENCV_ICF_HPP__
#include "opencv2/core/cuda_types.hpp"
#include "cuda_runtime_api.h"
#if defined __CUDACC__
# define __device_inline__ __device__ __forceinline__
#else
# define __device_inline__
#endif
namespace cv { namespace softcascade { namespace cudev {
typedef unsigned char uchar;
typedef unsigned int uint;
typedef unsigned short ushort;
struct Octave
{
float scale;
ushort2 size;
ushort index;
ushort stages;
ushort shrinkage;
Octave(const ushort i, const ushort s, const ushort sh, const ushort2 sz, const float sc)
: scale(sc), size(sz), index(i), stages(s), shrinkage(sh) {}
};
struct Level
{
int octave;
int step;
float relScale;
float scaling[2];// calculated according to Dollar paper
uchar2 workRect;
uchar2 objSize;
Level(int idx, const Octave& oct, const float scale, const int w, const int h);
__device_inline__ Level(){}
};
struct Node
{
uchar4 rect;
// ushort channel;
unsigned int threshold;
enum { THRESHOLD_MASK = 0x0FFFFFFF };
Node(const uchar4 r, const unsigned int ch, const unsigned int t) : rect(r), threshold(t + (ch << 28)) {}
};
struct Detection
{
ushort x;
ushort y;
ushort w;
ushort h;
float confidence;
int kind;
Detection(){}
__device_inline__ Detection(int _x, int _y, uchar _w, uchar _h, float c)
: x(static_cast<ushort>(_x)), y(static_cast<ushort>(_y)), w(_w), h(_h), confidence(c), kind(0) {}
};
struct GK107PolicyX4
{
enum {WARP = 32, STA_X = WARP, STA_Y = 8, SHRINKAGE = 4};
typedef float2 roi_type;
static const dim3 block()
{
return dim3(STA_X, STA_Y);
}
};
template<typename Policy>
struct CascadeInvoker
{
CascadeInvoker(): levels(0), stages(0), nodes(0), leaves(0), scales(0) {}
CascadeInvoker(const cv::cuda::PtrStepSzb& _levels, const cv::cuda::PtrStepSzf& _stages,
const cv::cuda::PtrStepSzb& _nodes, const cv::cuda::PtrStepSzf& _leaves)
: levels((const Level*)_levels.ptr()),
stages((const float*)_stages.ptr()),
nodes((const Node*)_nodes.ptr()), leaves((const float*)_leaves.ptr()),
scales(_levels.cols / sizeof(Level))
{}
const Level* levels;
const float* stages;
const Node* nodes;
const float* leaves;
int scales;
void operator()(const cv::cuda::PtrStepSzb& roi, const cv::cuda::PtrStepSzi& hogluv, cv::cuda::PtrStepSz<uchar4> objects,
const int downscales, const cudaStream_t& stream = 0) const;
template<bool isUp>
__device_inline__ void detect(Detection* objects, const unsigned int ndetections, unsigned int* ctr, const int downscales) const;
};
}}}
#endif