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Update file names map demo

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Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
This commit is contained in:
Micaela Verucchi
2020-07-08 11:27:09 +02:00
parent e7779ad773
commit 594947f301
1 changed files with 5 additions and 5 deletions
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demo/demo/map.cpp
+5 -5
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@@ -36,7 +36,7 @@ int main(int argc, char *argv[])
bool show = false; bool show = false;
bool write_dets = false; bool write_dets = false;
bool write_res_on_file = true; bool write_res_on_file = true;
bool write_coco_json = true; bool write_coco_json = false;
int n_images = 5000; int n_images = 5000;
bool verbose; bool verbose;
@@ -88,9 +88,9 @@ int main(int argc, char *argv[])
} }
if(write_res_on_file){ if(write_res_on_file){
times.open("times_"+net_name+".csv"); times.open("times_"+net_name+"_"+ std::to_string(n_batches)+"_"+std::to_string(confidence_thresh)+".csv");
memory.open("memory.csv", std::ios_base::app); memory.open("memory.csv", std::ios_base::app);
memory<<net<<";"; memory<<net_name+"_"+ std::to_string(n_batches)+"_"+std::to_string(confidence_thresh)<<";";
} }
// instantiate detector // instantiate detector
@@ -245,11 +245,11 @@ int main(int argc, char *argv[])
std::cout << "Avg VM[MB]: " << vm_total/images_done/1024.0 << ";Avg RSS[MB]: " << rss_total/images_done/1024.0 << std::endl; std::cout << "Avg VM[MB]: " << vm_total/images_done/1024.0 << ";Avg RSS[MB]: " << rss_total/images_done/1024.0 << std::endl;
//compute mAP //compute mAP
double AP = tk::dnn::computeMapNIoULevels(images,classes,IoU_thresh,confidence_thresh, map_points, map_step, map_levels, verbose, write_res_on_file, net_name); double AP = tk::dnn::computeMapNIoULevels(images,classes,IoU_thresh,confidence_thresh, map_points, map_step, map_levels, verbose, write_res_on_file, net_name+"_"+ std::to_string(n_batches)+"_"+std::to_string(confidence_thresh));
std::cout<<"mAP "<<IoU_thresh<<":"<<IoU_thresh+map_step*(map_levels-1)<<" = "<<AP<<std::endl; std::cout<<"mAP "<<IoU_thresh<<":"<<IoU_thresh+map_step*(map_levels-1)<<" = "<<AP<<std::endl;
//compute average precision, recall and f1score //compute average precision, recall and f1score
tk::dnn::computeTPFPFN(images,classes,IoU_thresh,confidence_thresh, verbose, write_res_on_file, net_name); tk::dnn::computeTPFPFN(images,classes,IoU_thresh,confidence_thresh, verbose, write_res_on_file, net_name +"_"+ std::to_string(n_batches)+"_"+std::to_string(confidence_thresh));
if(write_res_on_file){ if(write_res_on_file){
memory<<vm_total/images_done/1024.0<<";"<<rss_total/images_done/1024.0<<"\n"; memory<<vm_total/images_done/1024.0<<";"<<rss_total/images_done/1024.0<<"\n";