Make some tweaks to make sum
operations less frequently
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525b6eca2e
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@ -341,7 +341,8 @@ __kernel void estimateUKernel(__global const float* I1wx, int I1wx_col, int I1wx
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int u1_offset_x,
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int u1_offset_x,
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int u1_offset_y,
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int u1_offset_y,
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int u2_offset_x,
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int u2_offset_x,
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int u2_offset_y)
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int u2_offset_y,
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char calc_error)
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{
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{
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//const int x = blockIdx.x * blockDim.x + threadIdx.x;
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//const int x = blockIdx.x * blockDim.x + threadIdx.x;
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@ -399,9 +400,12 @@ __kernel void estimateUKernel(__global const float* I1wx, int I1wx_col, int I1wx
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u1[(y + u1_offset_y) * u1_step + x + u1_offset_x] = u1NewVal;
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u1[(y + u1_offset_y) * u1_step + x + u1_offset_x] = u1NewVal;
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u2[(y + u2_offset_y) * u2_step + x + u2_offset_x] = u2NewVal;
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u2[(y + u2_offset_y) * u2_step + x + u2_offset_x] = u2NewVal;
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if(calc_error)
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{
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const float n1 = (u1OldVal - u1NewVal) * (u1OldVal - u1NewVal);
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const float n1 = (u1OldVal - u1NewVal) * (u1OldVal - u1NewVal);
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const float n2 = (u2OldVal - u2NewVal) * (u2OldVal - u2NewVal);
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const float n2 = (u2OldVal - u2NewVal) * (u2OldVal - u2NewVal);
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error[y * I1wx_step + x] = n1 + n2;
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error[y * I1wx_step + x] = n1 + n2;
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}
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}
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}
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}
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}
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@ -229,18 +229,29 @@ void cv::ocl::OpticalFlowDual_TVL1_OCL::procOneScale(const oclMat &I0, const ocl
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warpBackward(I0, I1, I1x, I1y, u1, u2, I1w, I1wx, I1wy, grad, rho_c);
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warpBackward(I0, I1, I1x, I1y, u1, u2, I1w, I1wx, I1wy, grad, rho_c);
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double error = numeric_limits<double>::max();
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double error = numeric_limits<double>::max();
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double prev_error = 0;
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for (int n = 0; error > scaledEpsilon && n < iterations; ++n)
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for (int n = 0; error > scaledEpsilon && n < iterations; ++n)
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{
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{
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// some tweaks to make sum operation less frequently
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char calc_error = (n & 0x1) && (prev_error < scaledEpsilon);
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estimateU(I1wx, I1wy, grad, rho_c, p11, p12, p21, p22,
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estimateU(I1wx, I1wy, grad, rho_c, p11, p12, p21, p22,
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u1, u2, diff, l_t, static_cast<float>(theta));
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u1, u2, diff, l_t, static_cast<float>(theta), calc_error);
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if(calc_error)
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{
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error = ocl::sum(diff)[0];
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error = ocl::sum(diff)[0];
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prev_error = error;
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}
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else
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{
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error = numeric_limits<double>::max();
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prev_error -= scaledEpsilon;
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}
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estimateDualVariables(u1, u2, p11, p12, p21, p22, taut);
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estimateDualVariables(u1, u2, p11, p12, p21, p22, taut);
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}
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}
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}
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}
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}
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}
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void cv::ocl::OpticalFlowDual_TVL1_OCL::collectGarbage()
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void cv::ocl::OpticalFlowDual_TVL1_OCL::collectGarbage()
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@ -348,7 +359,7 @@ void ocl_tvl1flow::estimateDualVariables(oclMat &u1, oclMat &u2, oclMat &p11, oc
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void ocl_tvl1flow::estimateU(oclMat &I1wx, oclMat &I1wy, oclMat &grad,
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void ocl_tvl1flow::estimateU(oclMat &I1wx, oclMat &I1wy, oclMat &grad,
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oclMat &rho_c, oclMat &p11, oclMat &p12,
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oclMat &rho_c, oclMat &p11, oclMat &p12,
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oclMat &p21, oclMat &p22, oclMat &u1,
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oclMat &p21, oclMat &p22, oclMat &u1,
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oclMat &u2, oclMat &error, float l_t, float theta)
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oclMat &u2, oclMat &error, float l_t, float theta, char calc_error)
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{
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{
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Context* clCxt = I1wx.clCxt;
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Context* clCxt = I1wx.clCxt;
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@ -401,6 +412,7 @@ void ocl_tvl1flow::estimateU(oclMat &I1wx, oclMat &I1wy, oclMat &grad,
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args.push_back( make_pair( sizeof(cl_int), (void*)&u1_offset_y));
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args.push_back( make_pair( sizeof(cl_int), (void*)&u1_offset_y));
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args.push_back( make_pair( sizeof(cl_int), (void*)&u2_offset_x));
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args.push_back( make_pair( sizeof(cl_int), (void*)&u2_offset_x));
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args.push_back( make_pair( sizeof(cl_int), (void*)&u2_offset_y));
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args.push_back( make_pair( sizeof(cl_int), (void*)&u2_offset_y));
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args.push_back( make_pair( sizeof(cl_char), (void*)&calc_error));
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openCLExecuteKernel(clCxt, &tvl1flow, kernelName, globalThread, localThread, args, -1, -1);
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openCLExecuteKernel(clCxt, &tvl1flow, kernelName, globalThread, localThread, args, -1, -1);
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}
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}
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