/**
 * @file
 * @brief Header file for Object Detection effect class
 * @author Jonathan Thomas <jonathan@openshot.org>
 *
 * @ref License
 */

/* LICENSE
 *
 * Copyright (c) 2008-2019 OpenShot Studios, LLC
 * <http://www.openshotstudios.com/>. This file is part of
 * OpenShot Library (libopenshot), an open-source project dedicated to
 * delivering high quality video editing and animation solutions to the
 * world. For more information visit <http://www.openshot.org/>.
 *
 * OpenShot Library (libopenshot) is free software: you can redistribute it
 * and/or modify it under the terms of the GNU Lesser General Public License
 * as published by the Free Software Foundation, either version 3 of the
 * License, or (at your option) any later version.
 *
 * OpenShot Library (libopenshot) 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 Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with OpenShot Library. If not, see <http://www.gnu.org/licenses/>.
 */

#ifndef OPENSHOT_OBJECT_DETECTION_EFFECT_H
#define OPENSHOT_OBJECT_DETECTION_EFFECT_H

#include "../EffectBase.h"

#include <cmath>
#include <stdio.h>
#include <memory>
#include <opencv2/opencv.hpp>
#include "../Color.h"
#include "../Json.h"
#include "../KeyFrame.h"
#include "../objdetectdata.pb.h"

struct DetectionData{
    DetectionData(){}
    DetectionData(std::vector<int> _classIds, std::vector<float> _confidences, std::vector<cv::Rect_<float>> _boxes, size_t _frameId){
        classIds = _classIds;
        confidences = _confidences;
        boxes = _boxes;
        frameId = _frameId;
    }
    size_t frameId;
    std::vector<int> classIds;
    std::vector<float> confidences;
    std::vector<cv::Rect_<float>> boxes;
};

namespace openshot
{
	
	/**
	 * @brief This class stabilizes video clip to remove undesired shaking and jitter.
	 *
	 * Adding stabilization is useful to increase video quality overall, since it removes 
	 * from subtle to harsh unexpected camera movements.
	 */
	class ObjectDetection : public EffectBase
	{
	private:
		std::string protobuf_data_path;
		std::map<size_t, DetectionData> detectionsData;
		std::vector<std::string> classNames;
		
		std::vector<cv::Scalar> classesColor;

		/// Init effect settings
		void init_effect_details();

		void drawPred(int classId, float conf, cv::Rect2d box, cv::Mat& frame);

	public:


		/// Blank constructor, useful when using Json to load the effect properties
		ObjectDetection(std::string clipTrackerDataPath);

		/// Default constructor
		ObjectDetection();

		/// @brief This method is required for all derived classes of EffectBase, and returns a
		/// modified openshot::Frame object
		///
		/// The frame object is passed into this method, and a frame_number is passed in which
		/// tells the effect which settings to use from its keyframes (starting at 1).
		///
		/// @returns The modified openshot::Frame object
		/// @param frame The frame object that needs the effect applied to it
		/// @param frame_number The frame number (starting at 1) of the effect on the timeline.
		std::shared_ptr<Frame> GetFrame(std::shared_ptr<Frame> frame, int64_t frame_number) override;

		// Load protobuf data file
        bool LoadObjDetectdData(std::string inputFilePath);

		DetectionData GetTrackedData(size_t frameId);
        
		/// Get and Set JSON methods
		std::string Json() const override; ///< Generate JSON string of this object
		void SetJson(const std::string value) override; ///< Load JSON string into this object
		Json::Value JsonValue() const override; ///< Generate Json::Value for this object
		void SetJsonValue(const Json::Value root) override; ///< Load Json::Value into this object

		/// Get all properties for a specific frame (perfect for a UI to display the current state
		/// of all properties at any time)
		std::string PropertiesJSON(int64_t requested_frame) const override;
	};

}

#endif