main(){
build_database();
build_hashconstant();
int i,j,tmp;
float temp;
for(i=0;i<HASHTABLESIZE;i++)
hash[i]=NULL;
scanf("%d",&balls);
while(balls>0){
for(i=0;i<BOARDSIZE;i++){
for(j=0;j<BOARDSIZE;j++){
scanf("%d",&tmp);
board.size[j][i]=tmp;
}
}
if(TESTING){
printf("%f\n",calc());
continue;
}
do{
level=-1,temp=search();
printf("%d %d score=%f\n",besty,bestx,temp);
freememory();
splash(bestx,besty);
for(i=0;i<BOARDSIZE;i++){
for(j=0;j<BOARDSIZE;j++){
tmp=board.size[j][i];
printf("%d ",tmp);
}
printf("\n");
}
scanf("%d",&balls);
}while(balls>0);
scanf("%d",&balls);
}
}
// global variables used: clouds_dir, database_dir
int
vtree_user::start()
{
//if init build and save the database
if (command.compare("/init") == 0)
{
build_database(clouds_dir);
save_database(database_dir);
}
//load previously built database and perform recognition
else if (command.compare("/load") == 0)
load_database(database_dir);
//only extract features and save them in a specified images_directory
else if (command.compare("/features_only") == 0)
{
std::vector<FeatureVector> clouds;
trace_directory(clouds_dir.c_str(), "", clouds, true); // TODO: What does this do?
}
else
return 1;
return 0;
}
