__constant__ float cmax_data_term;
__constant__ float cdata_weight;
- __constant__ float cmax_disc_term;
__constant__ float cdisc_single_jump;
__constant__ int cth;
__constant__ size_t cdisp_step2;
- void load_constants(float max_data_term, float data_weight, float max_disc_term, float disc_single_jump, int min_disp_th)
+ void load_constants(float max_data_term, float data_weight, float disc_single_jump, int min_disp_th)
{
cudaSafeCall( cudaMemcpyToSymbol(cmax_data_term, &max_data_term, sizeof(float)) );
cudaSafeCall( cudaMemcpyToSymbol(cdata_weight, &data_weight, sizeof(float)) );
- cudaSafeCall( cudaMemcpyToSymbol(cmax_disc_term, &max_disc_term, sizeof(float)) );
cudaSafeCall( cudaMemcpyToSymbol(cdisc_single_jump, &disc_single_jump, sizeof(float)) );
cudaSafeCall( cudaMemcpyToSymbol(cth, &min_disp_th, sizeof(int)) );
template <typename T>
__device__ void message_per_pixel(const T* data, T* msg_dst, const T* msg1, const T* msg2, const T* msg3,
- const T* dst_disp, const T* src_disp, int nr_plane, volatile T* temp)
+ const T* dst_disp, const T* src_disp, int nr_plane, int max_disc_term, volatile T* temp)
{
T minimum = numeric_limits<T>::max();
float sum = 0;
for(int d = 0; d < nr_plane; d++)
{
- float cost_min = minimum + cmax_disc_term;
+ float cost_min = minimum + max_disc_term;
T src_disp_reg = src_disp[d * cdisp_step1];
for(int d2 = 0; d2 < nr_plane; d2++)
}
template <typename T>
- __global__ void compute_message(uchar *ctemp, T* u_, T* d_, T* l_, T* r_, const T* data_cost_selected, const T* selected_disp_pyr_cur, int h, int w, int nr_plane, int i)
+ __global__ void compute_message(uchar *ctemp, T* u_, T* d_, T* l_, T* r_, const T* data_cost_selected, const T* selected_disp_pyr_cur, int h, int w, int nr_plane, int i, int max_disc_term)
{
int y = blockIdx.y * blockDim.y + threadIdx.y;
int x = ((blockIdx.x * blockDim.x + threadIdx.x) << 1) + ((y + i) & 1);
T* temp = (T*)ctemp + y * cmsg_step + x;
- message_per_pixel(data, u, r - 1, u + cmsg_step, l + 1, disp, disp - cmsg_step, nr_plane, temp);
- message_per_pixel(data, d, d - cmsg_step, r - 1, l + 1, disp, disp + cmsg_step, nr_plane, temp);
- message_per_pixel(data, l, u + cmsg_step, d - cmsg_step, l + 1, disp, disp - 1, nr_plane, temp);
- message_per_pixel(data, r, u + cmsg_step, d - cmsg_step, r - 1, disp, disp + 1, nr_plane, temp);
+ message_per_pixel(data, u, r - 1, u + cmsg_step, l + 1, disp, disp - cmsg_step, nr_plane, max_disc_term, temp);
+ message_per_pixel(data, d, d - cmsg_step, r - 1, l + 1, disp, disp + cmsg_step, nr_plane, max_disc_term, temp);
+ message_per_pixel(data, l, u + cmsg_step, d - cmsg_step, l + 1, disp, disp - 1, nr_plane, max_disc_term, temp);
+ message_per_pixel(data, r, u + cmsg_step, d - cmsg_step, r - 1, disp, disp + 1, nr_plane, max_disc_term, temp);
}
}
template<class T>
void calc_all_iterations(uchar *ctemp, T* u, T* d, T* l, T* r, const T* data_cost_selected,
- const T* selected_disp_pyr_cur, size_t msg_step, int h, int w, int nr_plane, int iters, cudaStream_t stream)
+ const T* selected_disp_pyr_cur, size_t msg_step, int h, int w, int nr_plane, int iters, int max_disc_term, cudaStream_t stream)
{
size_t disp_step = msg_step * h;
cudaSafeCall( cudaMemcpyToSymbol(cdisp_step1, &disp_step, sizeof(size_t)) );
for(int t = 0; t < iters; ++t)
{
- compute_message<<<grid, threads, 0, stream>>>(ctemp, u, d, l, r, data_cost_selected, selected_disp_pyr_cur, h, w, nr_plane, t & 1);
+ compute_message<<<grid, threads, 0, stream>>>(ctemp, u, d, l, r, data_cost_selected, selected_disp_pyr_cur, h, w, nr_plane, t & 1, max_disc_term);
cudaSafeCall( cudaGetLastError() );
}
if (stream == 0)
};
template void calc_all_iterations(uchar *ctemp, short* u, short* d, short* l, short* r, const short* data_cost_selected, const short* selected_disp_pyr_cur, size_t msg_step,
- int h, int w, int nr_plane, int iters, cudaStream_t stream);
+ int h, int w, int nr_plane, int iters, int max_disc_term, cudaStream_t stream);
template void calc_all_iterations(uchar *ctemp, float* u, float* d, float* l, float* r, const float* data_cost_selected, const float* selected_disp_pyr_cur, size_t msg_step,
- int h, int w, int nr_plane, int iters, cudaStream_t stream);
+ int h, int w, int nr_plane, int iters, int max_disc_term, cudaStream_t stream);
///////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////
// Compute
- load_constants(max_data_term_, data_weight_, max_disc_term_, disc_single_jump_, min_disp_th_);
+ load_constants(max_data_term_, data_weight_, disc_single_jump_, min_disp_th_);
l[0].setTo(0, _stream);
d[0].setTo(0, _stream);
calc_all_iterations(temp_.ptr<uchar>(), u[cur_idx].ptr<float>(), d[cur_idx].ptr<float>(), l[cur_idx].ptr<float>(), r[cur_idx].ptr<float>(),
data_cost_selected.ptr<float>(), disp_selected_pyr[cur_idx].ptr<float>(), elem_step,
- rows_pyr[i], cols_pyr[i], nr_plane_pyr[i], iters_, stream);
+ rows_pyr[i], cols_pyr[i], nr_plane_pyr[i], iters_, max_disc_term_, stream);
}
}
else
calc_all_iterations(temp_.ptr<uchar>(), u[cur_idx].ptr<short>(), d[cur_idx].ptr<short>(), l[cur_idx].ptr<short>(), r[cur_idx].ptr<short>(),
data_cost_selected.ptr<short>(), disp_selected_pyr[cur_idx].ptr<short>(), elem_step,
- rows_pyr[i], cols_pyr[i], nr_plane_pyr[i], iters_, stream);
+ rows_pyr[i], cols_pyr[i], nr_plane_pyr[i], iters_, max_disc_term_, stream);
}
}