Ejemplos de NeuralNet_MLP::get_layer_count en C++ (Cpp)

Ejemplo n.º 1

Archivo: sym_recog.cpp Proyecto: Solexid/plate_recognition

std::pair< char, double > proc_impl( const cv::Mat& input, cv::NeuralNet_MLP& mlp, index_to_char_func i2c )
{
	assert( mlp.get_layer_count() != 0 );
	Mat pred_out;
	mlp.predict( convert_to_row( input ), pred_out );
	const int max_val = search_max_val( pred_out );
	const pair< char, double > ret = make_pair( i2c( max_val ), predict_min_diff( pred_out, max_val ) );
	if ( ret.first >= '7' && ret.first <= '7' )
	{
//		imwrite( next_name( string( "sym" ) + ret.first ), input );
	}
	return ret;
}

Ejemplo n.º 2

Archivo: sym_recog.cpp Proyecto: 3pointer/plate_recognition

std::pair< char, double > proc_impl( const cv::Mat& input, cv::NeuralNet_MLP& mlp, index_to_char_func i2c )
{
	assert( mlp.get_layer_count() != 0 );
	Mat pred_out;
	mlp.predict( convert_to_row( input ), pred_out );
	const int max_val = search_max_val( pred_out );
	const pair< char, double > ret = make_pair( i2c( max_val ), predict_min_diff( pred_out, max_val ) );
	if ( !aux::g_output_symbol_folder.empty() )
	{
		const std::string next_file_name( next_name( aux::g_output_symbol_folder + "/" + ret.first + "/" ) );
		imwrite( next_file_name, input );
	}
	return ret;
}