generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

added background subtraction sample for gpu module

Browse Source
This commit is contained in:
Vladislav Vinogradov
2012-06-25 12:48:54 +00:00
parent 3a4353f04d
commit d85ef03a42
5 changed files with 226 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files

69
modules/gpu/src/cuda/bgfg_mog.cu
View File

@@ -369,6 +369,63 @@ namespace cv { namespace gpu { namespace device
withoutLearning[cn](frame, fgmask, weight, mean, var, nmixtures, varThreshold, backgroundRatio, stream);
}
template <typename WorkT, typename OutT>
__global__ void getBackgroundImage(const PtrStepf gmm_weight, const PtrStep_<WorkT> gmm_mean, DevMem2D_<OutT> dst, const int nmixtures, const float backgroundRatio)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (x >= dst.cols || y >= dst.rows)
return;
WorkT meanVal = VecTraits<WorkT>::all(0.0f);
float totalWeight = 0.0f;
for (int mode = 0; mode < nmixtures; ++mode)
{
float weight = gmm_weight(mode * dst.rows + y, x);
WorkT mean = gmm_mean(mode * dst.rows + y, x);
meanVal = meanVal + weight * mean;
totalWeight += weight;
if(totalWeight > backgroundRatio)
break;
}
meanVal = meanVal * (1.f / totalWeight);
dst(y, x) = saturate_cast<OutT>(meanVal);
}
template <typename WorkT, typename OutT>
void getBackgroundImage_caller(DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, int nmixtures, float backgroundRatio, cudaStream_t stream)
{
dim3 block(32, 8);
dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(getBackgroundImage<WorkT, OutT>, cudaFuncCachePreferL1) );
getBackgroundImage<WorkT, OutT><<<grid, block, 0, stream>>>(weight, (DevMem2D_<WorkT>) mean, (DevMem2D_<OutT>) dst, nmixtures, backgroundRatio);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
void getBackgroundImage_gpu(int cn, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, int nmixtures, float backgroundRatio, cudaStream_t stream)
{
typedef void (*func_t)(DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, int nmixtures, float backgroundRatio, cudaStream_t stream);
static const func_t funcs[] =
{
0, getBackgroundImage_caller<float, uchar>, 0, getBackgroundImage_caller<float3, uchar3>, getBackgroundImage_caller<float4, uchar4>
};
funcs[cn](weight, mean, dst, nmixtures, backgroundRatio, stream);
}
///////////////////////////////////////////////////////////////
// MOG2
@@ -642,7 +699,7 @@ namespace cv { namespace gpu { namespace device
}
template <typename WorkT, typename OutT>
__global__ void getBackgroundImage(const DevMem2Db modesUsed, const PtrStepf gmm_weight, const PtrStep_<WorkT> gmm_mean, PtrStep_<OutT> dst)
__global__ void getBackgroundImage2(const DevMem2Db modesUsed, const PtrStepf gmm_weight, const PtrStep_<WorkT> gmm_mean, PtrStep_<OutT> dst)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
@@ -674,27 +731,27 @@ namespace cv { namespace gpu { namespace device
}
template <typename WorkT, typename OutT>
void getBackgroundImage_caller(DevMem2Db modesUsed, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, cudaStream_t stream)
void getBackgroundImage2_caller(DevMem2Db modesUsed, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, cudaStream_t stream)
{
dim3 block(32, 8);
dim3 grid(divUp(modesUsed.cols, block.x), divUp(modesUsed.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(getBackgroundImage<WorkT, OutT>, cudaFuncCachePreferL1) );
cudaSafeCall( cudaFuncSetCacheConfig(getBackgroundImage2<WorkT, OutT>, cudaFuncCachePreferL1) );
getBackgroundImage<WorkT, OutT><<<grid, block, 0, stream>>>(modesUsed, weight, (DevMem2D_<WorkT>) mean, (DevMem2D_<OutT>) dst);
getBackgroundImage2<WorkT, OutT><<<grid, block, 0, stream>>>(modesUsed, weight, (DevMem2D_<WorkT>) mean, (DevMem2D_<OutT>) dst);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
void getBackgroundImage_gpu(int cn, DevMem2Db modesUsed, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, cudaStream_t stream)
void getBackgroundImage2_gpu(int cn, DevMem2Db modesUsed, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, cudaStream_t stream)
{
typedef void (*func_t)(DevMem2Db modesUsed, DevMem2Df weight, DevMem2Db mean, DevMem2Db dst, cudaStream_t stream);
static const func_t funcs[] =
{
0, getBackgroundImage_caller<float, uchar>, 0, getBackgroundImage_caller<float3, uchar3>, getBackgroundImage_caller<float4, uchar4>
0, getBackgroundImage2_caller<float, uchar>, 0, getBackgroundImage2_caller<float3, uchar3>, getBackgroundImage2_caller<float4, uchar4>
};
funcs[cn](modesUsed, weight, mean, dst, stream);