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removed VIBE implementation

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This commit is contained in:
Vladislav Vinogradov
2013-05-16 13:47:24 +04:00
parent 7d9041460a
commit ec52096e30
8 changed files with 2 additions and 683 deletions
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271
modules/nonfree/src/cuda/vibe.cu
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@@ -1,271 +0,0 @@
/*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) 2009, 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*/
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_GPU
#include "opencv2/gpu/device/common.hpp"
namespace cv { namespace gpu { namespace device
{
namespace vibe
{
void loadConstants(int nbSamples, int reqMatches, int radius, int subsamplingFactor);
void init_gpu(PtrStepSzb frame, int cn, PtrStepSzb samples, PtrStepSz<unsigned int> randStates, cudaStream_t stream);
void update_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzb samples, PtrStepSz<unsigned int> randStates, cudaStream_t stream);
}
}}}
namespace cv { namespace gpu { namespace device
{
namespace vibe
{
__constant__ int c_nbSamples;
__constant__ int c_reqMatches;
__constant__ int c_radius;
__constant__ int c_subsamplingFactor;
void loadConstants(int nbSamples, int reqMatches, int radius, int subsamplingFactor)
{
cudaSafeCall( cudaMemcpyToSymbol(c_nbSamples, &nbSamples, sizeof(int)) );
cudaSafeCall( cudaMemcpyToSymbol(c_reqMatches, &reqMatches, sizeof(int)) );
cudaSafeCall( cudaMemcpyToSymbol(c_radius, &radius, sizeof(int)) );
cudaSafeCall( cudaMemcpyToSymbol(c_subsamplingFactor, &subsamplingFactor, sizeof(int)) );
}
__device__ __forceinline__ uint nextRand(uint& state)
{
const unsigned int CV_RNG_COEFF = 4164903690U;
state = state * CV_RNG_COEFF + (state >> 16);
return state;
}
__constant__ int c_xoff[9] = {-1, 0, 1, -1, 1, -1, 0, 1, 0};
__constant__ int c_yoff[9] = {-1, -1, -1, 0, 0, 1, 1, 1, 0};
__device__ __forceinline__ int2 chooseRandomNeighbor(int x, int y, uint& randState, int count = 8)
{
int idx = nextRand(randState) % count;
return make_int2(x + c_xoff[idx], y + c_yoff[idx]);
}
__device__ __forceinline__ uchar cvt(uchar val)
{
return val;
}
__device__ __forceinline__ uchar4 cvt(const uchar3& val)
{
return make_uchar4(val.x, val.y, val.z, 0);
}
__device__ __forceinline__ uchar4 cvt(const uchar4& val)
{
return val;
}
template <typename SrcT, typename SampleT>
__global__ void init(const PtrStepSz<SrcT> frame, PtrStep<SampleT> samples, PtrStep<uint> randStates)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (x >= frame.cols || y >= frame.rows)
return;
uint localState = randStates(y, x);
for (int k = 0; k < c_nbSamples; ++k)
{
int2 np = chooseRandomNeighbor(x, y, localState, 9);
np.x = ::max(0, ::min(np.x, frame.cols - 1));
np.y = ::max(0, ::min(np.y, frame.rows - 1));
SrcT pix = frame(np.y, np.x);
samples(k * frame.rows + y, x) = cvt(pix);
}
randStates(y, x) = localState;
}
template <typename SrcT, typename SampleT>
void init_caller(PtrStepSzb frame, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream)
{
dim3 block(32, 8);
dim3 grid(divUp(frame.cols, block.x), divUp(frame.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(init<SrcT, SampleT>, cudaFuncCachePreferL1) );
init<SrcT, SampleT><<<grid, block, 0, stream>>>((PtrStepSz<SrcT>) frame, (PtrStepSz<SampleT>) samples, randStates);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
void init_gpu(PtrStepSzb frame, int cn, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb frame, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream);
static const func_t funcs[] =
{
0, init_caller<uchar, uchar>, 0, init_caller<uchar3, uchar4>, init_caller<uchar4, uchar4>
};
funcs[cn](frame, samples, randStates, stream);
}
__device__ __forceinline__ int calcDist(uchar a, uchar b)
{
return ::abs(a - b);
}
__device__ __forceinline__ int calcDist(const uchar3& a, const uchar4& b)
{
return (::abs(a.x - b.x) + ::abs(a.y - b.y) + ::abs(a.z - b.z)) / 3;
}
__device__ __forceinline__ int calcDist(const uchar4& a, const uchar4& b)
{
return (::abs(a.x - b.x) + ::abs(a.y - b.y) + ::abs(a.z - b.z)) / 3;
}
template <typename SrcT, typename SampleT>
__global__ void update(const PtrStepSz<SrcT> frame, PtrStepb fgmask, PtrStep<SampleT> samples, PtrStep<uint> randStates)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (x >= frame.cols || y >= frame.rows)
return;
uint localState = randStates(y, x);
SrcT imgPix = frame(y, x);
// comparison with the model
int count = 0;
for (int k = 0; (count < c_reqMatches) && (k < c_nbSamples); ++k)
{
SampleT samplePix = samples(k * frame.rows + y, x);
int distance = calcDist(imgPix, samplePix);
if (distance < c_radius)
++count;
}
// pixel classification according to reqMatches
fgmask(y, x) = (uchar) (-(count < c_reqMatches));
if (count >= c_reqMatches)
{
// the pixel belongs to the background
// gets a random number between 0 and subsamplingFactor-1
int randomNumber = nextRand(localState) % c_subsamplingFactor;
// update of the current pixel model
if (randomNumber == 0)
{
// random subsampling
int k = nextRand(localState) % c_nbSamples;
samples(k * frame.rows + y, x) = cvt(imgPix);
}
// update of a neighboring pixel model
randomNumber = nextRand(localState) % c_subsamplingFactor;
if (randomNumber == 0)
{
// random subsampling
// chooses a neighboring pixel randomly
int2 np = chooseRandomNeighbor(x, y, localState);
np.x = ::max(0, ::min(np.x, frame.cols - 1));
np.y = ::max(0, ::min(np.y, frame.rows - 1));
// chooses the value to be replaced randomly
int k = nextRand(localState) % c_nbSamples;
samples(k * frame.rows + np.y, np.x) = cvt(imgPix);
}
}
randStates(y, x) = localState;
}
template <typename SrcT, typename SampleT>
void update_caller(PtrStepSzb frame, PtrStepSzb fgmask, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream)
{
dim3 block(32, 8);
dim3 grid(divUp(frame.cols, block.x), divUp(frame.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(update<SrcT, SampleT>, cudaFuncCachePreferL1) );
update<SrcT, SampleT><<<grid, block, 0, stream>>>((PtrStepSz<SrcT>) frame, fgmask, (PtrStepSz<SampleT>) samples, randStates);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
void update_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream)
{
typedef void (*func_t)(PtrStepSzb frame, PtrStepSzb fgmask, PtrStepSzb samples, PtrStepSz<uint> randStates, cudaStream_t stream);
static const func_t funcs[] =
{
0, update_caller<uchar, uchar>, 0, update_caller<uchar3, uchar4>, update_caller<uchar4, uchar4>
};
funcs[cn](frame, fgmask, samples, randStates, stream);
}
}
}}}
#endif /* HAVE_OPENCV_GPU */

141
modules/nonfree/src/vibe_gpu.cpp
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@@ -1,141 +0,0 @@
/*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) 2009, 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*/
#include "precomp.hpp"
#if defined(HAVE_OPENCV_GPU)
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
cv::gpu::VIBE_GPU::VIBE_GPU(unsigned long) { throw_nogpu(); }
void cv::gpu::VIBE_GPU::initialize(const GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::VIBE_GPU::operator()(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
void cv::gpu::VIBE_GPU::release() {}
#else
namespace cv { namespace gpu { namespace device
{
namespace vibe
{
void loadConstants(int nbSamples, int reqMatches, int radius, int subsamplingFactor);
void init_gpu(PtrStepSzb frame, int cn, PtrStepSzb samples, PtrStepSz<unsigned int> randStates, cudaStream_t stream);
void update_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzb samples, PtrStepSz<unsigned int> randStates, cudaStream_t stream);
}
}}}
namespace
{
const int defaultNbSamples = 20;
const int defaultReqMatches = 2;
const int defaultRadius = 20;
const int defaultSubsamplingFactor = 16;
}
cv::gpu::VIBE_GPU::VIBE_GPU(unsigned long rngSeed) :
frameSize_(0, 0), rngSeed_(rngSeed)
{
nbSamples = defaultNbSamples;
reqMatches = defaultReqMatches;
radius = defaultRadius;
subsamplingFactor = defaultSubsamplingFactor;
}
void cv::gpu::VIBE_GPU::initialize(const GpuMat& firstFrame, Stream& s)
{
using namespace cv::gpu::device::vibe;
CV_Assert(firstFrame.type() == CV_8UC1 || firstFrame.type() == CV_8UC3 || firstFrame.type() == CV_8UC4);
cudaStream_t stream = StreamAccessor::getStream(s);
loadConstants(nbSamples, reqMatches, radius, subsamplingFactor);
frameSize_ = firstFrame.size();
if (randStates_.size() != frameSize_)
{
cv::RNG rng(rngSeed_);
cv::Mat h_randStates(frameSize_, CV_8UC4);
rng.fill(h_randStates, cv::RNG::UNIFORM, 0, 255);
randStates_.upload(h_randStates);
}
int ch = firstFrame.channels();
int sample_ch = ch == 1 ? 1 : 4;
samples_.create(nbSamples * frameSize_.height, frameSize_.width, CV_8UC(sample_ch));
init_gpu(firstFrame, ch, samples_, randStates_, stream);
}
void cv::gpu::VIBE_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, Stream& s)
{
using namespace cv::gpu::device::vibe;
CV_Assert(frame.depth() == CV_8U);
int ch = frame.channels();
int sample_ch = ch == 1 ? 1 : 4;
if (frame.size() != frameSize_ || sample_ch != samples_.channels())
initialize(frame);
fgmask.create(frameSize_, CV_8UC1);
update_gpu(frame, ch, fgmask, samples_, randStates_, StreamAccessor::getStream(s));
}
void cv::gpu::VIBE_GPU::release()
{
frameSize_ = Size(0, 0);
randStates_.release();
samples_.release();
}
#endif
#endif // defined(HAVE_OPENCV_GPU)