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			223 lines
		
	
	
		
			7.3 KiB
		
	
	
	
		
			C++
		
	
		
		
			
		
	
	
			223 lines
		
	
	
		
			7.3 KiB
		
	
	
	
		
			C++
		
	
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											3 years ago
										 
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								/*M///////////////////////////////////////////////////////////////////////////////////////
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								//
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								//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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								//
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								//  If you do not agree to this license, do not download, install,
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								//  copy or use the software.
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								//
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								//                          License Agreement
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								//                For Open Source Computer Vision Library
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								//
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								// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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								// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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								// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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								// Third party copyrights are property of their respective owners.
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								//   * Redistribution's of source code must retain the above copyright notice,
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								//     this list of conditions and the following disclaimer.
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								//   * Redistribution's in binary form must reproduce the above copyright notice,
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								//     this list of conditions and the following disclaimer in the documentation
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								//     and/or other materials provided with the distribution.
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								//   * The name of the copyright holders may not be used to endorse or promote products
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								//     derived from this software without specific prior written permission.
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								// This software is provided by the copyright holders and contributors "as is" and
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								// any express or implied warranties, including, but not limited to, the implied
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								// In no event shall the Intel Corporation or contributors be liable for any direct,
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								// indirect, incidental, special, exemplary, or consequential damages
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								//
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								//M*/
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								#ifndef OPENCV_OBJDETECT_DBT_HPP
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								#define OPENCV_OBJDETECT_DBT_HPP
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								#include <opencv2/core.hpp>
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								#include <vector>
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								namespace cv
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								{
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								//! @addtogroup objdetect
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								//! @{
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								class CV_EXPORTS DetectionBasedTracker
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								{
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								    public:
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								        struct CV_EXPORTS Parameters
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								        {
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								            int maxTrackLifetime;
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								            int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0
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								            Parameters();
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								        };
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								        class IDetector
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								        {
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								            public:
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								                IDetector():
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								                    minObjSize(96, 96),
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								                    maxObjSize(INT_MAX, INT_MAX),
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								                    minNeighbours(2),
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								                    scaleFactor(1.1f)
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								                {}
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								                virtual void detect(const cv::Mat& image, std::vector<cv::Rect>& objects) = 0;
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								                void setMinObjectSize(const cv::Size& min)
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								                {
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								                    minObjSize = min;
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								                }
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								                void setMaxObjectSize(const cv::Size& max)
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								                {
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								                    maxObjSize = max;
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								                }
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								                cv::Size getMinObjectSize() const
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								                {
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								                    return minObjSize;
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								                }
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								                cv::Size getMaxObjectSize() const
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								                {
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								                    return maxObjSize;
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								                }
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								                float getScaleFactor()
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								                {
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								                    return scaleFactor;
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								                }
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								                void setScaleFactor(float value)
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								                {
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								                    scaleFactor = value;
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								                }
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								                int getMinNeighbours()
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								                {
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								                    return minNeighbours;
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								                }
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								                void setMinNeighbours(int value)
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								                {
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								                    minNeighbours = value;
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								                }
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								                virtual ~IDetector() {}
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								            protected:
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								                cv::Size minObjSize;
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								                cv::Size maxObjSize;
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								                int minNeighbours;
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								                float scaleFactor;
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								        };
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								        DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params);
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								        virtual ~DetectionBasedTracker();
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								        virtual bool run();
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								        virtual void stop();
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								        virtual void resetTracking();
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								        virtual void process(const cv::Mat& imageGray);
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								        bool setParameters(const Parameters& params);
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								        const Parameters& getParameters() const;
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								        typedef std::pair<cv::Rect, int> Object;
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								        virtual void getObjects(std::vector<cv::Rect>& result) const;
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								        virtual void getObjects(std::vector<Object>& result) const;
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								        enum ObjectStatus
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								        {
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								            DETECTED_NOT_SHOWN_YET,
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								            DETECTED,
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								            DETECTED_TEMPORARY_LOST,
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								            WRONG_OBJECT
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								        };
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								        struct ExtObject
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								        {
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								            int id;
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								            cv::Rect location;
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								            ObjectStatus status;
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								            ExtObject(int _id, cv::Rect _location, ObjectStatus _status)
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								                :id(_id), location(_location), status(_status)
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								            {
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								            }
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								        };
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								        virtual void getObjects(std::vector<ExtObject>& result) const;
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								        virtual int addObject(const cv::Rect& location); //returns id of the new object
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								    protected:
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								        class SeparateDetectionWork;
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								        cv::Ptr<SeparateDetectionWork> separateDetectionWork;
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								        friend void* workcycleObjectDetectorFunction(void* p);
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								        struct InnerParameters
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								        {
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								            int numLastPositionsToTrack;
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								            int numStepsToWaitBeforeFirstShow;
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								            int numStepsToTrackWithoutDetectingIfObjectHasNotBeenShown;
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								            int numStepsToShowWithoutDetecting;
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								            float coeffTrackingWindowSize;
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								            float coeffObjectSizeToTrack;
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								            float coeffObjectSpeedUsingInPrediction;
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								            InnerParameters();
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								        };
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								        Parameters parameters;
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								        InnerParameters innerParameters;
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								        struct TrackedObject
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								        {
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								            typedef std::vector<cv::Rect> PositionsVector;
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								            PositionsVector lastPositions;
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								            int numDetectedFrames;
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								            int numFramesNotDetected;
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								            int id;
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								            TrackedObject(const cv::Rect& rect):numDetectedFrames(1), numFramesNotDetected(0)
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								            {
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								                lastPositions.push_back(rect);
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								                id=getNextId();
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								            };
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								            static int getNextId()
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								            {
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								                static int _id=0;
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								                return _id++;
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								            }
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								        };
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								        int numTrackedSteps;
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								        std::vector<TrackedObject> trackedObjects;
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								        std::vector<float> weightsPositionsSmoothing;
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								        std::vector<float> weightsSizesSmoothing;
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								        cv::Ptr<IDetector> cascadeForTracking;
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								        void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects);
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								        cv::Rect calcTrackedObjectPositionToShow(int i) const;
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								        cv::Rect calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const;
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								        void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions);
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								};
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								//! @} objdetect
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								} //end of cv namespace
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								#endif
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