Added matcerealisation.hpp, and added Vec2f serialisation to it

CMakeLists.txt

@@ -48,6 +48,7 @@ set(HEADERS
 	include/eos/morphablemodel/PcaModel.hpp
 	include/eos/morphablemodel/MorphableModel.hpp
 	include/eos/morphablemodel/io/cvssp.hpp
+	include/eos/morphablemodel/io/mat_cerealisation.hpp
 	include/eos/fitting/affine_camera_estimation.hpp
 	include/eos/fitting/linear_shape_fitting.hpp
 	include/eos/render/Mesh.hpp

include/eos/morphablemodel/io/mat_cerealisation.hpp

+/*
+ * superviseddescent: A C++11 implementation of the supervised descent
+ *                    optimisation method
+ * File: superviseddescent/matcerealisation.hpp
+ *
+ * Copyright 2015 Patrik Huber
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#pragma once
+
+#ifndef MATCEREALISATION_HPP_
+#define MATCEREALISATION_HPP_
+
+#include "cereal/cereal.hpp"
+
+#include "opencv2/core/core.hpp"
+
+/**
+ * Serialisation for OpenCV cv::Mat matrices for the serialisation
+ * library cereal (http://uscilab.github.io/cereal/index.html).
+ */
+
+namespace cv {
+
+/**
+ * Serialise a cv::Mat using cereal.
+ *
+ * Supports all types of matrices as well as non-contiguous ones.
+ *
+ * @param[in] ar The archive to serialise to.
+ * @param[in] mat The matrix to serialise.
+ */
+template<class Archive>
+void save(Archive& ar, const cv::Mat& mat)
+{
+	int rows, cols, type;
+	bool continuous;
+
+	rows = mat.rows;
+	cols = mat.cols;
+	type = mat.type();
+	continuous = mat.isContinuous();
+
+	ar & rows & cols & type & continuous;
+
+	if (continuous) {
+		const int data_size = rows * cols * static_cast<int>(mat.elemSize());
+		auto mat_data = cereal::binary_data(mat.ptr(), data_size);
+		ar & mat_data;
+	}
+	else {
+		const int row_size = cols * static_cast<int>(mat.elemSize());
+		for (int i = 0; i < rows; i++) {
+			auto row_data = cereal::binary_data(mat.ptr(i), row_size);
+			ar & row_data;
+		}
+	}
+};
+
+/**
+ * De-serialise a cv::Mat using cereal.
+ *
+ * Supports all types of matrices as well as non-contiguous ones.
+ *
+ * @param[in] ar The archive to deserialise from.
+ * @param[in] mat The matrix to deserialise into.
+ */
+template<class Archive>
+void load(Archive& ar, cv::Mat& mat)
+{
+	int rows, cols, type;
+	bool continuous;
+
+	ar & rows & cols & type & continuous;
+
+	if (continuous) {
+		mat.create(rows, cols, type);
+		const int data_size = rows * cols * static_cast<int>(mat.elemSize());
+		auto mat_data = cereal::binary_data(mat.ptr(), data_size);
+		ar & mat_data;
+	}
+	else {
+		mat.create(rows, cols, type);
+		const int row_size = cols * static_cast<int>(mat.elemSize());
+		for (int i = 0; i < rows; i++) {
+			auto row_data = cereal::binary_data(mat.ptr(i), row_size);
+			ar & row_data;
+		}
+	}
+};
+
+/**
+ * Serialisation for a cv::Vec2f using cereal.
+ *
+ * @param[in] ar The archive to (de)serialise.
+ * @param[in] mat The vector to (de)serialise.
+ */
+template <class Archive>
+void serialize(Archive& ar, cv::Vec2f& vec)
+{
+	ar(vec[0], vec[1]);
+};
+
+}
+
+#endif /* MATCEREALISATION_HPP_ */