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That is a valid way to speed things up, but I do not think it would have a major impact on performance while potentially sacrificing some readability. The biggest bottleneck at the moment is the template matching part of the code.
oh,Yes.the speed is 140ms,and it is ok. The biggest bottleneck at the moment is the template matching part of the code.,Yes.
the node patch,neither using meanshif, nor using probabilistic method; But using CCNF,Continuous Conditional Neural Fields. it is very good. hehe,thanks. and i have nothing to help you,please give my honour
1 one position could raise the speed.
CCNF_patch_expert::ComputeSigmas
if(sum_alphas > -0.000001 && sum_alphas < 0.000001)
{
int n_alphas = this->neurons.size();
// sum the alphas first
for(int a = 0; a < n_alphas; ++a)
{
sum_alphas += this->neurons[a].alpha;
}
}
'sum_alphas' coumpute once and should be a static value.
thanks.
ou,my god.this place Only compute once,and it is not very significative。
2 another position to improve
void PDM::ComputeJacobian
/* X = shape_3D.at(i,0);
Y = shape_3D.at(i+n,0);
Z = shape_3D.at(i+n*2,0); */
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