cuda::DisparityBilateralFilter no longer uses constant memory for parameters
Now multiple filters can be used in the same context without stepping on each other.
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@ -49,30 +49,6 @@ namespace cv { namespace cuda { namespace device
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{
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namespace disp_bilateral_filter
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{
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__constant__ float* ctable_color;
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__constant__ float* ctable_space;
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__constant__ size_t ctable_space_step;
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__constant__ int cndisp;
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__constant__ int cradius;
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__constant__ short cedge_disc;
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__constant__ short cmax_disc;
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void disp_load_constants(float* table_color, PtrStepSzf table_space, int ndisp, int radius, short edge_disc, short max_disc)
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{
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cudaSafeCall( cudaMemcpyToSymbol(ctable_color, &table_color, sizeof(table_color)) );
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cudaSafeCall( cudaMemcpyToSymbol(ctable_space, &table_space.data, sizeof(table_space.data)) );
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size_t table_space_step = table_space.step / sizeof(float);
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cudaSafeCall( cudaMemcpyToSymbol(ctable_space_step, &table_space_step, sizeof(size_t)) );
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cudaSafeCall( cudaMemcpyToSymbol(cndisp, &ndisp, sizeof(int)) );
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cudaSafeCall( cudaMemcpyToSymbol(cradius, &radius, sizeof(int)) );
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cudaSafeCall( cudaMemcpyToSymbol(cedge_disc, &edge_disc, sizeof(short)) );
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cudaSafeCall( cudaMemcpyToSymbol(cmax_disc, &max_disc, sizeof(short)) );
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}
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template <int channels>
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struct DistRgbMax
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{
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@ -95,7 +71,11 @@ namespace cv { namespace cuda { namespace device
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};
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template <int channels, typename T>
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__global__ void disp_bilateral_filter(int t, T* disp, size_t disp_step, const uchar* img, size_t img_step, int h, int w)
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__global__ void disp_bilateral_filter(int t, T* disp, size_t disp_step,
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const uchar* img, size_t img_step, int h, int w,
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const float* ctable_color, const float * ctable_space, size_t ctable_space_step,
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int cradius,
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short cedge_disc, short cmax_disc)
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{
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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const int x = ((blockIdx.x * blockDim.x + threadIdx.x) << 1) + ((y + t) & 1);
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@ -178,7 +158,7 @@ namespace cv { namespace cuda { namespace device
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}
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template <typename T>
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void disp_bilateral_filter(PtrStepSz<T> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream)
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void disp_bilateral_filter(PtrStepSz<T> disp, PtrStepSzb img, int channels, int iters, const float *table_color, const float* table_space, size_t table_step, int radius, short edge_disc, short max_disc, cudaStream_t stream)
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{
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dim3 threads(32, 8, 1);
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dim3 grid(1, 1, 1);
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@ -190,20 +170,20 @@ namespace cv { namespace cuda { namespace device
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case 1:
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for (int i = 0; i < iters; ++i)
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{
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disp_bilateral_filter<1><<<grid, threads, 0, stream>>>(0, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols);
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disp_bilateral_filter<1><<<grid, threads, 0, stream>>>(0, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols, table_color, table_space, table_step, radius, edge_disc, max_disc);
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cudaSafeCall( cudaGetLastError() );
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disp_bilateral_filter<1><<<grid, threads, 0, stream>>>(1, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols);
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disp_bilateral_filter<1><<<grid, threads, 0, stream>>>(1, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols, table_color, table_space, table_step, radius, edge_disc, max_disc);
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cudaSafeCall( cudaGetLastError() );
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}
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break;
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case 3:
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for (int i = 0; i < iters; ++i)
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{
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disp_bilateral_filter<3><<<grid, threads, 0, stream>>>(0, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols);
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disp_bilateral_filter<3><<<grid, threads, 0, stream>>>(0, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols, table_color, table_space, table_step, radius, edge_disc, max_disc);
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cudaSafeCall( cudaGetLastError() );
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disp_bilateral_filter<3><<<grid, threads, 0, stream>>>(1, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols);
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disp_bilateral_filter<3><<<grid, threads, 0, stream>>>(1, disp.data, disp.step/sizeof(T), img.data, img.step, disp.rows, disp.cols, table_color, table_space, table_step, radius, edge_disc, max_disc);
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cudaSafeCall( cudaGetLastError() );
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}
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break;
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@ -215,8 +195,8 @@ namespace cv { namespace cuda { namespace device
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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template void disp_bilateral_filter<uchar>(PtrStepSz<uchar> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream);
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template void disp_bilateral_filter<short>(PtrStepSz<short> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream);
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template void disp_bilateral_filter<uchar>(PtrStepSz<uchar> disp, PtrStepSzb img, int channels, int iters, const float *table_color, const float *table_space, size_t table_step, int radius, short, short, cudaStream_t stream);
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template void disp_bilateral_filter<short>(PtrStepSz<short> disp, PtrStepSzb img, int channels, int iters, const float *table_color, const float *table_space, size_t table_step, int radius, short, short, cudaStream_t stream);
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} // namespace bilateral_filter
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}}} // namespace cv { namespace cuda { namespace cudev
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@ -55,10 +55,8 @@ namespace cv { namespace cuda { namespace device
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{
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namespace disp_bilateral_filter
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{
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void disp_load_constants(float* table_color, PtrStepSzf table_space, int ndisp, int radius, short edge_disc, short max_disc);
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template<typename T>
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void disp_bilateral_filter(PtrStepSz<T> disp, PtrStepSzb img, int channels, int iters, cudaStream_t stream);
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void disp_bilateral_filter(PtrStepSz<T> disp, PtrStepSzb img, int channels, int iters, const float *, const float *, size_t, int radius, short edge_disc, short max_disc, cudaStream_t stream);
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}
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}}}
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@ -165,7 +163,7 @@ namespace
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const short edge_disc = std::max<short>(short(1), short(ndisp * edge_threshold + 0.5));
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const short max_disc = short(ndisp * max_disc_threshold + 0.5);
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disp_load_constants(table_color.ptr<float>(), table_space, ndisp, radius, edge_disc, max_disc);
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size_t table_space_step = table_space.step / sizeof(float);
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_dst.create(disp.size(), disp.type());
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GpuMat dst = _dst.getGpuMat();
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@ -173,7 +171,7 @@ namespace
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if (dst.data != disp.data)
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disp.copyTo(dst, stream);
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disp_bilateral_filter<T>(dst, img, img.channels(), iters, StreamAccessor::getStream(stream));
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disp_bilateral_filter<T>(dst, img, img.channels(), iters, table_color.ptr<float>(), (float *)table_space.data, table_space_step, radius, edge_disc, max_disc, StreamAccessor::getStream(stream));
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}
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void DispBilateralFilterImpl::apply(InputArray _disp, InputArray _image, OutputArray dst, Stream& stream)
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