int
main (int argc, char **argv)
{
if (argc < 2)
usage ();
if (!strcmp (argv[1], "testpat"))
make_testpat ();
else if (!strcmp (argv[1], "gradient"))
test_gradient ();
else if (!strcmp (argv[1], "dist"))
test_dist ();
else if (!strcmp (argv[1], "dash"))
test_dash ();
else if (!strcmp (argv[1], "intersect"))
test_intersect ();
else if (!strcmp (argv[1], "intersect1"))
test_intersection();
else
usage ();
return 0;
}
inline
float
cv_dist_vector_GrassBC::test(int ts_scale, int ts_shift)
{
int n_actions = actions.n_rows;
int k = 0;
field <std::string> action_seq_names (150,3); ///From the dataset description (150)
for (int act=0; act<n_actions; ++act)
{
std::stringstream ss_folders;
ss_folders << path_dataset << actions (act) << "/list_folders.txt";
field <std::string> list_folders;
list_folders.load( ss_folders.str() );
int n_folders = list_folders.n_rows;
//cout << actions (act) << endl;
//list_folders.print();
for (int i=0; i< n_folders; ++i)
{
std::ostringstream ss_action;
ss_action << act;
action_seq_names(k,0) = actions(act); //Action
action_seq_names(k,1) = list_folders(i); //Video Sequence
action_seq_names(k,2) = ss_action.str();; //Action index
k++;
}
}
int n_test = 150 - 1; //Problem with Run-Side_001_dim14
int n_dim = n_test -1;
fvec dist_vector;
float acc=0;
vec real_labels;
vec est_labels;
field<std::string> test_video_list(n_test);
real_labels.zeros(n_test);
est_labels.zeros(n_test);
int j =0;
std::stringstream load_sub_path;
load_sub_path << path << "dim_" << dim << "/grass_points/one-grass-point/scale" << ts_scale << "-shift"<< ts_shift ;
for (int test_i = 0; test_i< action_seq_names.n_rows; ++test_i)
{
std::string action_name = action_seq_names(test_i,0);
std::string folder_n = action_seq_names(test_i,1);
int act_ts = atoi( action_seq_names(test_i,2).c_str() );
if (!(action_name=="Run-Side" && folder_n=="001"))
{
CvSVM SVM;
std::stringstream load_svm_model;
load_svm_model << "./svm_models/GrassBC_run_" << test_i+1;
SVM.load( load_svm_model.str().c_str() );
vec test_dist;
std::stringstream load_Gnp;
load_Gnp << load_sub_path.str() << "/grass_pt_" << action_name << "_" << folder_n << "_dim" << dim << "_p" << p << ".h5";
test_dist = dist_one_video( action_seq_names, test_i, load_sub_path.str(), load_Gnp.str() );
//test_dist.print("");
cv::Mat cvMatTesting_onevideo(1, n_dim, CV_32FC1);
for (uword d=0; d<n_dim; ++d)
{
cvMatTesting_onevideo.at<float>(0,d) = test_dist(d);
}
float response = SVM.predict(cvMatTesting_onevideo, true);
std::stringstream test_video_name;
test_video_name << action_name << "_" << folder_n ;
//cout << "response " << response << endl;
real_labels(j) = act_ts;
est_labels(j) = response;
test_video_list(j) = test_video_name.str();
j++;
//cout << act_ts << " " << response << endl;
if (response == act_ts) {
acc++;
}
std::stringstream main_save;
main_save << "./svm_results/GrassBC_scale" << ts_scale << "-shift"<< ts_shift << "-p" << p;
std::stringstream save1, save2,save3;
save1 << main_save.str() << "_real_labels.dat";
save2 << main_save.str() << "_est_labels.dat";
save3 << main_save.str() << "_test_video_list.dat";
real_labels.save(save1.str(), raw_ascii);
est_labels.save( save2.str(), raw_ascii);
test_video_list.save(save3.str(), raw_ascii);
}
}
acc = acc*100/(n_test);
cout << "Performance for Grassmann Binet-Cauchy Metric: " << acc << " %" << endl;
return acc;
}
