190 lines
7.4 KiB
C++
190 lines
7.4 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 __FGD_BGFG_COMMON_HPP__
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#define __FGD_BGFG_COMMON_HPP__
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#include "opencv2/core/cuda_devptrs.hpp"
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namespace bgfg
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{
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struct BGPixelStat
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{
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public:
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#ifdef __CUDACC__
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__device__ float& Pbc(int i, int j);
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__device__ float& Pbcc(int i, int j);
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__device__ unsigned char& is_trained_st_model(int i, int j);
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__device__ unsigned char& is_trained_dyn_model(int i, int j);
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__device__ float& PV_C(int i, int j, int k);
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__device__ float& PVB_C(int i, int j, int k);
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template <typename T> __device__ T& V_C(int i, int j, int k);
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__device__ float& PV_CC(int i, int j, int k);
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__device__ float& PVB_CC(int i, int j, int k);
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template <typename T> __device__ T& V1_CC(int i, int j, int k);
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template <typename T> __device__ T& V2_CC(int i, int j, int k);
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#endif
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int rows_;
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unsigned char* Pbc_data_;
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size_t Pbc_step_;
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unsigned char* Pbcc_data_;
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size_t Pbcc_step_;
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unsigned char* is_trained_st_model_data_;
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size_t is_trained_st_model_step_;
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unsigned char* is_trained_dyn_model_data_;
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size_t is_trained_dyn_model_step_;
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unsigned char* ctable_Pv_data_;
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size_t ctable_Pv_step_;
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unsigned char* ctable_Pvb_data_;
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size_t ctable_Pvb_step_;
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unsigned char* ctable_v_data_;
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size_t ctable_v_step_;
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unsigned char* cctable_Pv_data_;
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size_t cctable_Pv_step_;
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unsigned char* cctable_Pvb_data_;
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size_t cctable_Pvb_step_;
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unsigned char* cctable_v1_data_;
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size_t cctable_v1_step_;
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unsigned char* cctable_v2_data_;
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size_t cctable_v2_step_;
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};
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#ifdef __CUDACC__
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__device__ __forceinline__ float& BGPixelStat::Pbc(int i, int j)
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{
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return *((float*)(Pbc_data_ + i * Pbc_step_) + j);
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}
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__device__ __forceinline__ float& BGPixelStat::Pbcc(int i, int j)
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{
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return *((float*)(Pbcc_data_ + i * Pbcc_step_) + j);
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}
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__device__ __forceinline__ unsigned char& BGPixelStat::is_trained_st_model(int i, int j)
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{
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return *((unsigned char*)(is_trained_st_model_data_ + i * is_trained_st_model_step_) + j);
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}
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__device__ __forceinline__ unsigned char& BGPixelStat::is_trained_dyn_model(int i, int j)
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{
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return *((unsigned char*)(is_trained_dyn_model_data_ + i * is_trained_dyn_model_step_) + j);
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}
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__device__ __forceinline__ float& BGPixelStat::PV_C(int i, int j, int k)
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{
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return *((float*)(ctable_Pv_data_ + ((k * rows_) + i) * ctable_Pv_step_) + j);
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}
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__device__ __forceinline__ float& BGPixelStat::PVB_C(int i, int j, int k)
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{
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return *((float*)(ctable_Pvb_data_ + ((k * rows_) + i) * ctable_Pvb_step_) + j);
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}
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template <typename T> __device__ __forceinline__ T& BGPixelStat::V_C(int i, int j, int k)
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{
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return *((T*)(ctable_v_data_ + ((k * rows_) + i) * ctable_v_step_) + j);
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}
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__device__ __forceinline__ float& BGPixelStat::PV_CC(int i, int j, int k)
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{
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return *((float*)(cctable_Pv_data_ + ((k * rows_) + i) * cctable_Pv_step_) + j);
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}
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__device__ __forceinline__ float& BGPixelStat::PVB_CC(int i, int j, int k)
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{
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return *((float*)(cctable_Pvb_data_ + ((k * rows_) + i) * cctable_Pvb_step_) + j);
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}
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template <typename T> __device__ __forceinline__ T& BGPixelStat::V1_CC(int i, int j, int k)
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{
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return *((T*)(cctable_v1_data_ + ((k * rows_) + i) * cctable_v1_step_) + j);
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}
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template <typename T> __device__ __forceinline__ T& BGPixelStat::V2_CC(int i, int j, int k)
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{
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return *((T*)(cctable_v2_data_ + ((k * rows_) + i) * cctable_v2_step_) + j);
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}
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#endif
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const int PARTIAL_HISTOGRAM_COUNT = 240;
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const int HISTOGRAM_BIN_COUNT = 256;
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template <typename PT, typename CT>
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void calcDiffHistogram_gpu(cv::gpu::PtrStepSzb prevFrame, cv::gpu::PtrStepSzb curFrame,
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unsigned int* hist0, unsigned int* hist1, unsigned int* hist2,
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unsigned int* partialBuf0, unsigned int* partialBuf1, unsigned int* partialBuf2,
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bool cc20, cudaStream_t stream);
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template <typename PT, typename CT>
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void calcDiffThreshMask_gpu(cv::gpu::PtrStepSzb prevFrame, cv::gpu::PtrStepSzb curFrame, uchar3 bestThres, cv::gpu::PtrStepSzb changeMask, cudaStream_t stream);
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void setBGPixelStat(const BGPixelStat& stat);
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template <typename PT, typename CT, typename OT>
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void bgfgClassification_gpu(cv::gpu::PtrStepSzb prevFrame, cv::gpu::PtrStepSzb curFrame,
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cv::gpu::PtrStepSzb Ftd, cv::gpu::PtrStepSzb Fbd, cv::gpu::PtrStepSzb foreground,
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int deltaC, int deltaCC, float alpha2, int N1c, int N1cc, cudaStream_t stream);
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template <typename PT, typename CT, typename OT>
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void updateBackgroundModel_gpu(cv::gpu::PtrStepSzb prevFrame, cv::gpu::PtrStepSzb curFrame,
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cv::gpu::PtrStepSzb Ftd, cv::gpu::PtrStepSzb Fbd, cv::gpu::PtrStepSzb foreground, cv::gpu::PtrStepSzb background,
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int deltaC, int deltaCC, float alpha1, float alpha2, float alpha3, int N1c, int N1cc, int N2c, int N2cc, float T,
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cudaStream_t stream);
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}
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#endif // __FGD_BGFG_COMMON_HPP__
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