//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(_x)), y(static_cast(_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 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 objects, const int downscales, const cudaStream_t& stream = 0) const; template __device_inline__ void detect(Detection* objects, const unsigned int ndetections, unsigned int* ctr, const int downscales) const; }; }}} #endif