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DetectionTemporal.h
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DetectionTemporal.h
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/*
DetectionTemporal.h
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
*
* This file is part of: freeture
*
* Copyright: (C) 2014-2015 Yoan Audureau
* FRIPON-GEOPS-UPSUD-CNRS
*
* License: GNU General Public License
*
* FreeTure 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.
* FreeTure 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 FreeTure. If not, see <http://www.gnu.org/licenses/>.
*
* Last modified: 20/10/2014
*
*%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%*/
/**
* \file DetectionTemporal.h
* \author Yoan Audureau -- FRIPON-GEOPS-UPSUD
* \version 1.0
* \date 03/06/2014
* \brief Detection method by temporal analysis.
*/
#pragma once
#include "config.h"
#ifdef LINUX
#define BOOST_LOG_DYN_LINK 1
#endif
#include <boost/circular_buffer.hpp>
#include "opencv2/highgui/highgui.hpp"
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/video/tracking.hpp>
#include <boost/tokenizer.hpp>
#include <boost/log/common.hpp>
#include <boost/log/expressions.hpp>
#include <boost/log/utility/setup/file.hpp>
#include <boost/log/utility/setup/console.hpp>
#include <boost/log/utility/setup/common_attributes.hpp>
#include <boost/log/attributes/named_scope.hpp>
#include <boost/log/attributes.hpp>
#include <boost/log/sinks.hpp>
#include <boost/log/sources/logger.hpp>
#include <boost/log/core.hpp>
#include "ELogSeverityLevel.h"
#include "TimeDate.h"
#include "Fits2D.h"
#include "Fits.h"
#include "Frame.h"
#include "ImgProcessing.h"
#include "EStackMeth.h"
#include "ECamPixFmt.h"
#include "GlobalEvent.h"
#include "LocalEvent.h"
#include "Detection.h"
#include "EParser.h"
#include "SaveImg.h"
#include <vector>
#include <chrono>
#include <utility>
#include <iterator>
#include <algorithm>
#include <boost/filesystem.hpp>
#include "Mask.h"
//My modification
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/core/types_c.h"
using namespace boost::filesystem;
namespace logging = boost::log;
namespace sinks = boost::log::sinks;
namespace attrs = boost::log::attributes;
namespace src = boost::log::sources;
namespace expr = boost::log::expressions;
namespace keywords = boost::log::keywords;
using namespace std;
using namespace cv;
/*struct Yuno{
Yuno(const uint _i, const uint _cpt) : i(_i), cpt(_cpt) {}
uint i;
uint cpt;
};*/
class DetectionTemporal : public Detection {
private :
static boost::log::sources::severity_logger< LogSeverityLevel > logger;
static class Init {
public :
Init() {
logger.add_attribute("ClassName", boost::log::attributes::constant<std::string>("DetectionTemporal"));
}
}initializer;
vector<GlobalEvent> mListGlobalEvents; // List of global events (Events spread on several frames).
vector<Point> mSubdivisionPos; // Position (origin in top left) of 64 subdivisions.
vector<Scalar> mListColors; // One color per local event.
Mat mLocalMask; // Mask used to remove isolated white pixels.
bool mSubdivisionStatus; // If subdivisions positions have been computed.
Mat mPrevThresholdedMap;
vector<GlobalEvent>::iterator mGeToSave; // Global event to save.
int mRoiSize[2];
int mImgNum; // Current frame number.
Mat mPrevFrame; // Previous frame.
Mat mStaticMask;
string mDebugCurrentPath;
int mDataSetCounter;
bool mDebugUpdateMask;
Mask *mMaskManager;
vector<string> debugFiles;
detectionParam mdtp;
VideoWriter mVideoDebugAutoMask;
public :
DetectionTemporal(detectionParam dp, CamPixFmt fmt);
~DetectionTemporal();
void initMethod(string cfgPath);
bool runDetection(Frame &c);
void saveDetectionInfos(string p, int nbFramesAround);
void resetDetection(bool loadNewDataSet);
void resetMask();
int getEventFirstFrameNb() {return (*mGeToSave).getNumFirstFrame();};
TimeDate::Date getEventDate() {return (*mGeToSave).getDate();};
int getEventLastFrameNb() {return (*mGeToSave).getNumLastFrame();};
vector<string> getDebugFiles();
bool madDetection(std::vector<ushort> &coord_x, std::vector<ushort> &coord_y);
private :
void createDebugDirectories(bool cleanDebugDirectory);
int selectThreshold(Mat i);
vector<Scalar> getColorInEventMap(Mat &eventMap, Point roiCenter);
void colorRoiInBlack(Point p, int h, int w, Mat ®ion);
void analyseRegion( Mat &subdivision,
Mat &absDiffBinaryMap,
Mat &eventMap,
Mat &posDiff,
int posDiffThreshold,
Mat &negDiff,
int negDiffThreshold,
vector<LocalEvent> &listLE,
Point subdivisionPos,
int maxNbLE,
int numFrame,
string &msg,
TimeDate::Date cFrameDate);
};