int
main (int argc, char **argv)
{
char write_folder_c[1024];
std::string write_folder_prefix = "sequence";
time_t now = time(0);
struct tm tstruct;
tstruct = *localtime(&now);
int year = 1900 + tstruct.tm_year;
int month = tstruct.tm_mon;
int day = tstruct.tm_mday;
int hour = tstruct.tm_hour;
int min = tstruct.tm_min;
int sec = tstruct.tm_sec;
if (argc > 1)
write_folder_prefix = argv[1];
else
printf("Usage: openni_grabber_save_images my_write_folder_prefix snapshot_mode_flag{0,1}");
sprintf(write_folder_c, "%s_%02d_%02d_%04d__%02dh_%02dm_%02ds",write_folder_prefix.c_str(),day,month,year,hour,min,sec);
std::string write_folder(write_folder_c);
mkdir(write_folder_c,0777);
mkdir((write_folder + "/Depth").c_str(),0777);
mkdir((write_folder + "/RGB").c_str(),0777);
mkdir((write_folder + "/IR").c_str(),0777);
OpenNIShoter v (write_folder);
v.run (argc,argv);
return (0);
}
void gtsrb_toolset::prepare_training_data()
{
{
boost::filesystem::path file_path = get_working_data_folder() / training_data_filename;
std::cout << "Writing data to " << file_path.string() << std::endl;
std::tr1::shared_ptr<std::ofstream> file_with_data(new boost::filesystem::ofstream(file_path, std::ios_base::out | std::ios_base::binary | std::ios_base::trunc));
nnforge::layer_configuration_specific input_configuration;
input_configuration.feature_map_count = is_color ? 3 : 1;
input_configuration.dimension_sizes.push_back(image_width);
input_configuration.dimension_sizes.push_back(image_height);
nnforge::layer_configuration_specific output_configuration;
output_configuration.feature_map_count = class_count;
output_configuration.dimension_sizes.push_back(1);
output_configuration.dimension_sizes.push_back(1);
nnforge::supervised_data_stream_writer writer(
file_with_data,
input_configuration,
output_configuration);
for(unsigned int folder_id = 0; folder_id < class_count; ++folder_id)
{
boost::filesystem::path subfolder_name = boost::filesystem::path("Final_Training") / "Images" / (boost::format("%|1$05d|") % folder_id).str();
std::string annotation_file_name = (boost::format("GT-%|1$05d|.csv") % folder_id).str();
write_folder(
writer,
subfolder_name,
annotation_file_name.c_str(),
true);
}
}
{
boost::filesystem::path file_path = get_working_data_folder() / validating_data_filename;
std::cout << "Writing data to " << file_path.string() << std::endl;
std::tr1::shared_ptr<std::ofstream> file_with_data(new boost::filesystem::ofstream(file_path, std::ios_base::out | std::ios_base::binary | std::ios_base::trunc));
nnforge::layer_configuration_specific input_configuration;
input_configuration.feature_map_count = is_color ? 3 : 1;
input_configuration.dimension_sizes.push_back(image_width);
input_configuration.dimension_sizes.push_back(image_height);
nnforge::layer_configuration_specific output_configuration;
output_configuration.feature_map_count = class_count;
output_configuration.dimension_sizes.push_back(1);
output_configuration.dimension_sizes.push_back(1);
nnforge::supervised_data_stream_writer writer(
file_with_data,
input_configuration,
output_configuration);
boost::filesystem::path subfolder_name = boost::filesystem::path("Final_Test") / "Images";
std::string annotation_file_name = "GT-final_test.csv";
write_folder(
writer,
subfolder_name,
annotation_file_name.c_str(),
false);
}
}