bool ObjReader::readFile2(char* name)
{
fstream file;
string line;
vector<string> data;
Model *mod = new ModelAdv();
scPtr->models.push_back(mod);
modPtr = mod;
modPtr->implicit= false;
Material *mat1= new MaterialPhong;
mat1->setDiffuse(ColourRGB(0.5,0.5,0.5));
mat1->setAmbientC(ColourRGB(0.2,0.2,0.2));
mat1->setSpecular(ColourRGB(0.5,0.5,0.5));
mat1->setSpecularExp(2);
scPtr->materials.push_back(mat1);
modPtr->material = mat1;
file.open(name);
while(! file.eof())
{
getline (file,line);
data = getWords(line);
if(data.size() >0)
{
if(data[0] == "v")
{
storeVertex(data);
}
if(data[0] == "vt")
{
storeVertexUV(data);
}
if(data[0] == "vn")
{
storeVertexNormal(data);
}
if(data[0] == "f")
{
storeModel(data);
}
}
}
//invertPolygons();
clear();
file.close();
return true;
}
int main(int argc, char** argv)
{
//srand(getpid());
//srand48(getpid());
srand(0);
srand48(0);
properties props = TrainParameters(&argc, &argv);
if (argc != 3) {
printInstructions();
return 4;
}
char * data_file = argv[1];
char * data_model = argv[2];
svm_dataset dataset = readTrainFile(data_file);
printf("\nDataset Loaded from file: %s\n\nTraining samples: %d\nNumber of features: %d\n\n",data_file, dataset.l,dataset.maxdim);
struct timeval tiempo1, tiempo2;
omp_set_num_threads(props.Threads);
printf("Running IRWLS\n");
gettimeofday(&tiempo1, NULL);
initMemory(props.Threads,(props.MaxSize+1));
double * W = trainFULL(dataset,props);
gettimeofday(&tiempo2, NULL);
printf("\nWeights calculated in %ld\n\n",((tiempo2.tv_sec-tiempo1.tv_sec)*1000+(tiempo2.tv_usec-tiempo1.tv_usec)/1000));
model modelo = calculateModel(props, dataset, W);
printf("Saving model in file: %s\n\n",data_model);
FILE *Out = fopen(data_model, "w+");
storeModel(&modelo, Out);
fclose(Out);
return 0;
}
