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

added updateBackgroundModel parameter

Browse Source
This commit is contained in:
Vladislav Vinogradov
2012-08-09 14:46:27 +04:00
parent 7f3296566c
commit 1ecf491373
3 changed files with 37 additions and 27 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
modules/gpu/src/cuda/bgfg_gmg.cu
View File

@@ -168,7 +168,8 @@ namespace cv { namespace gpu { namespace device {
template <typename T> struct Quantization : detail::Quantization<VecTraits<T>::cn> {};
template <typename SrcT>
__global__ void update(const PtrStep_<SrcT> frame, PtrStepb fgmask, PtrStepi colors_, PtrStepf weights_, PtrStepi nfeatures_, const int frameNum, const float learningRate)
__global__ void update(const PtrStep_<SrcT> frame, PtrStepb fgmask, PtrStepi colors_, PtrStepf weights_, PtrStepi nfeatures_,
const int frameNum, const float learningRate, const bool updateBackgroundModel)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
@@ -195,18 +196,21 @@ namespace cv { namespace gpu { namespace device {
// update histogram.
for (int i = 0, fy = y; i < nfeatures; ++i, fy += c_height)
weights_(fy, x) *= 1.0f - learningRate;
bool inserted = insertFeature(newFeatureColor, learningRate, colors_, weights_, x, y, nfeatures);
if (inserted)
if (updateBackgroundModel)
{
normalizeHistogram(weights_, x, y, nfeatures);
nfeatures_(y, x) = nfeatures;
for (int i = 0, fy = y; i < nfeatures; ++i, fy += c_height)
weights_(fy, x) *= 1.0f - learningRate;
bool inserted = insertFeature(newFeatureColor, learningRate, colors_, weights_, x, y, nfeatures);
if (inserted)
{
normalizeHistogram(weights_, x, y, nfeatures);
nfeatures_(y, x) = nfeatures;
}
}
}
else
else if (updateBackgroundModel)
{
// training-mode update
@@ -218,14 +222,15 @@ namespace cv { namespace gpu { namespace device {
}
template <typename SrcT>
void update_gpu(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream)
void update_gpu(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures,
int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(frame.cols, block.x), divUp(frame.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(update<SrcT>, cudaFuncCachePreferL1) );
update<SrcT><<<grid, block, 0, stream>>>((DevMem2D_<SrcT>) frame, fgmask, colors, weights, nfeatures, frameNum, learningRate);
update<SrcT><<<grid, block, 0, stream>>>((DevMem2D_<SrcT>) frame, fgmask, colors, weights, nfeatures, frameNum, learningRate, updateBackgroundModel);
cudaSafeCall( cudaGetLastError() );
@@ -233,16 +238,16 @@ namespace cv { namespace gpu { namespace device {
cudaSafeCall( cudaDeviceSynchronize() );
}
template void update_gpu<uchar >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<uchar3 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<uchar4 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<uchar >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<uchar3 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<uchar4 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<ushort >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<ushort3>(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<ushort4>(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<ushort >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<ushort3>(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<ushort4>(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<float >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<float3 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<float4 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, cudaStream_t stream);
template void update_gpu<float >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<float3 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
template void update_gpu<float4 >(DevMem2Db frame, PtrStepb fgmask, DevMem2Di colors, PtrStepf weights, PtrStepi nfeatures, int frameNum, float learningRate, bool updateBackgroundModel, cudaStream_t stream);
}
}}}