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Add pre-processing and post-processing stats

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Signed-off-by: Davide Sapienza <sapienza.dav@gmail.com>
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Davide Sapienza
2020-12-09 19:43:51 +01:00
parent 9e1d7b3bb4
commit 1cfa199ee6
2 changed files with 16 additions and 1 deletions
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demo/demo/demo3D.cpp
+13
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@@ -105,11 +105,24 @@ int main(int argc, char *argv[]) {
std::cout<<"detection end\n";
double mean = 0;
std::cout<<COL_GREENB<<"\n\nTime preprocessing stats:\n";
std::cout<<"Min: "<<*std::min_element(detNN->pre_stats.begin(), detNN->pre_stats.end())<<" ms\n";
std::cout<<"Max: "<<*std::max_element(detNN->pre_stats.begin(), detNN->pre_stats.end())<<" ms\n";
for(int i=0; i<detNN->pre_stats.size(); i++) mean += detNN->pre_stats[i]; mean /= detNN->pre_stats.size();
std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;
mean=0;
std::cout<<COL_GREENB<<"\n\nTime stats:\n";
std::cout<<"Min: "<<*std::min_element(detNN->stats.begin(), detNN->stats.end())<<" ms\n";
std::cout<<"Max: "<<*std::max_element(detNN->stats.begin(), detNN->stats.end())<<" ms\n";
for(int i=0; i<detNN->stats.size(); i++) mean += detNN->stats[i]; mean /= detNN->stats.size();
std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;
mean=0;
std::cout<<COL_GREENB<<"\n\nTime postprocessing stats:\n";
std::cout<<"Min: "<<*std::min_element(detNN->post_stats.begin(), detNN->post_stats.end())<<" ms\n";
std::cout<<"Max: "<<*std::max_element(detNN->post_stats.begin(), detNN->post_stats.end())<<" ms\n";
for(int i=0; i<detNN->post_stats.size(); i++) mean += detNN->post_stats[i]; mean /= detNN->post_stats.size();
std::cout<<"Avg: "<<mean<<" ms\n"<<COL_END;
return 0;