ForegroundSegmentation/pluginInference.h

/*
 *  Copyright (C) 2004-2020 Savoir-faire Linux Inc.
 *
 *  Author: Aline Gondim Santos <aline.gondimsantos@savoirfairelinux.com>
 *
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program; if not, write to the Free Software
 *  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301 USA.
 */

#pragma once

#include "TFInference.h"

// OpenCV headers
#include <opencv2/core.hpp>
// STL
#include <array>
#include <vector>
#include <tuple>
#include <iostream>

namespace jami 
{
	class PluginInference : public TensorflowInference 
	{
		public:
			/**
			 * @brief PluginInference
			 * Is a type of supervised learning where we detect objects in images
			 * Draw a bounding boxes around them
			 * @param model
			 */
			PluginInference(TFModel model);
			~PluginInference();

#ifdef TFLITE
			/**
			 * @brief getInput
			 * Returns the input where to fill the data
			 * Use this method if you know what you are doing, all the necessary checks
			 * on dimensions must be done on your part
			 * @return std::tuple<uint8_t *, std::vector<int>>
			 * The first element in the tuple is the pointer to the storage location
			 * The second element is a dimensions vector that will helps you make
			 * The necessary checks to make your data size match the input one
			 */
			std::pair<uint8_t *, std::vector<int>> getInput();
			// std::pair<float *, std::vector<int>> getInput();

#else
			void ReadTensorFromMat(const cv::Mat& image);

#endif //TFLITE

			std::vector<float> masksPredictions() const;


			/**
			 * @brief setExpectedImageDimensions
			 * Sets imageWidth and imageHeight from the sources
			 */
			void setExpectedImageDimensions();

			// Getters
			int getImageWidth() const;
			int getImageHeight() const;
			int getImageNbChannels() const;


		private:
			int imageWidth = 0;
			int imageHeight = 0;
			int imageNbChannels = 0;
	};
} // namespace jami