/**
 * @file
 * @brief Header file for CVObjectDetection 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/>.
 */

#pragma once

#include <google/protobuf/util/time_util.h>

#define int64 opencv_broken_int
#define uint64 opencv_broken_uint
#include <opencv2/dnn.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/core.hpp>
#undef uint64
#undef int64
#include "Json.h"
#include "ProcessingController.h"
#include "Clip.h"
#include "objdetectdata.pb.h"

#include "../src/sort_filter/sort.hpp"

using google::protobuf::util::TimeUtil;

struct CVDetectionData{
    CVDetectionData(){}
    CVDetectionData(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;
};

class CVObjectDetection{

    private:
    
    cv::dnn::Net net;
    std::vector<std::string> classNames;
    float confThreshold, nmsThreshold;

    std::string classesFile;
    std::string modelConfiguration;
    std::string modelWeights;
    std::string processingDevice;
    std::string protobuf_data_path;

    SortTracker sort;

    uint progress;

    size_t start;
    size_t end;

    /// Will handle a Thread safely comutication between ClipProcessingJobs and the processing effect classes
	ProcessingController *processingController;

    void setProcessingDevice();

    void DetectObjects(const cv::Mat &frame, size_t frame_number);

    bool iou(cv::Rect pred_box, cv::Rect sort_box);

    // Remove the bounding boxes with low confidence using non-maxima suppression
    void postprocess(const cv::Size &frameDims, const std::vector<cv::Mat>& out, size_t frame_number);

    // Get the names of the output layers
    std::vector<cv::String> getOutputsNames(const cv::dnn::Net& net);

    public:

    std::map<size_t, CVDetectionData> detectionsData;

    CVObjectDetection(std::string processInfoJson, ProcessingController &processingController);

    void detectObjectsClip(openshot::Clip &video, size_t start=0, size_t end=0, bool process_interval=false);

    CVDetectionData GetDetectionData(size_t frameId);

    /// Protobuf Save and Load methods
    // Save protobuf file
    bool SaveObjDetectedData();
    // Add frame object detection data into protobuf message.
    void AddFrameDataToProto(libopenshotobjdetect::Frame* pbFrameData, CVDetectionData& dData);

    /// Get and Set JSON methods
    void SetJson(const std::string value); ///< Load JSON string into this object
    void SetJsonValue(const Json::Value root); ///< Load Json::Value into this object

    // Load protobuf file (ONLY FOR MAKE TEST)
    bool _LoadObjDetectdData();
};