228 lines
7.5 KiB
C++
228 lines
7.5 KiB
C++
/*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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// By downloading, copying, installing or using the software you agree to this license.
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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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//
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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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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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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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//
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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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//
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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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//
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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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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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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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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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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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// After this condition removal update blacklist for bindings: modules/python/common.cmake
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#if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(__ANDROID__) || \
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defined(CV_CXX11)
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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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#endif
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