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Open Source Computer Vision Library
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157 lines
4.8 KiB
157 lines
4.8 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) 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/gpu/device/common.hpp> |
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#include "opencv2/core/cuda_devptrs.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 device { |
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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::gpu::PtrStepSzb& _levels, const cv::gpu::PtrStepSzf& _stages, |
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const cv::gpu::PtrStepSzb& _nodes, const cv::gpu::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::gpu::PtrStepSzb& roi, const cv::gpu::PtrStepSzi& hogluv, cv::gpu::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 |