Open Source Computer Vision Library
https://opencv.org/
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189 lines
7.4 KiB
189 lines
7.4 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) 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/gpu_types.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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