Add a model loader/simulator that actually loads caffe models.

src/Makefile

@@ -1,15 +1,13 @@
 .PHONY: all clean
 
 # Compilation settings
-CXXFLAGS=-Wall -Wextra -pedantic -std=c++17 -g -O2
+CXXFLAGS=-Wall -Wextra -pedantic -std=c++17 -g -O2 -DCPU_ONLY
-LDLIBS=
+LDLIBS=-lcaffe -lboost_system -lglog
 
 
 # Project artifacts
 _EXE=fmri
-_OBJECTS=\
+_OBJECTS=$(patsubst %.cpp, %.o, $(wildcard *.cpp))
-		 main.o \
-		 Options.o
 
 all: fmri
 

src/Options.hpp

@@ -1,3 +1,5 @@
+#pragma once
+
 #include <vector>
 #include <string>
 

src/Simulator.cpp

@@ -0,0 +1,18 @@
+#include <iostream>
+#include <string>
+#include "Simulator.hpp"
+
+using namespace caffe;
+using namespace std;
+using namespace fmri;
+
+Simulator::Simulator(const string& model_file, const string& weights_file) :
+	net(model_file, TEST)
+{
+	net.CopyTrainedLayersFrom(weights_file);
+}
+
+void Simulator::simulate(const string& image_file)
+{
+	cerr << "This is not implemented yet." << endl;
+}

src/Simulator.hpp

@@ -0,0 +1,22 @@
+#pragma once
+
+#include <string>
+#include <memory>
+
+#include <caffe/caffe.hpp>
+
+namespace fmri {
+	using std::string;
+
+	class Simulator {
+		public:
+			typedef float DType;
+
+			Simulator(const string& model_file, const string& weights_file);
+
+			void simulate(const string& input_file);
+
+		private:
+			caffe::Net<DType> net;
+	};
+}

src/main.cpp

@@ -1,12 +1,21 @@
 #include <iostream>
 #include "Options.hpp"
+#include "Simulator.hpp"
 
 using namespace std;
 using namespace fmri;
 
 int main(int argc, char * const argv[])
 {
+	::google::InitGoogleLogging(argv[0]);
+
 	Options options = Options::parse(argc, argv);
 
+	Simulator simulator(options.model(), options.weights());
+
+	for (const auto& image : options.inputs()) {
+		simulator.simulate(image);
+	}
+
 	return 0;
 }