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174 lines
5.4 KiB
174 lines
5.4 KiB
/*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) 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_TLD_TRACKER |
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#define OPENCV_TLD_TRACKER |
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#include "precomp.hpp" |
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#include "opencv2/video/tracking.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "tldModel.hpp" |
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#include<algorithm> |
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#include<limits.h> |
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namespace cv |
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{ |
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namespace tld |
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{ |
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class TrackerProxy |
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{ |
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public: |
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virtual bool init(const Mat& image, const Rect2d& boundingBox) = 0; |
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virtual bool update(const Mat& image, Rect2d& boundingBox) = 0; |
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virtual ~TrackerProxy(){} |
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}; |
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class MyMouseCallbackDEBUG |
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{ |
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public: |
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MyMouseCallbackDEBUG(Mat& img, Mat& imgBlurred, TLDDetector* detector) :img_(img), imgBlurred_(imgBlurred), detector_(detector){} |
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static void onMouse(int event, int x, int y, int, void* obj){ ((MyMouseCallbackDEBUG*)obj)->onMouse(event, x, y); } |
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MyMouseCallbackDEBUG& operator = (const MyMouseCallbackDEBUG& /*other*/){ return *this; } |
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private: |
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void onMouse(int event, int x, int y); |
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Mat& img_, imgBlurred_; |
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TLDDetector* detector_; |
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}; |
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class Data |
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{ |
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public: |
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Data(Rect2d initBox); |
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Size getMinSize(){ return minSize; } |
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double getScale(){ return scale; } |
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bool confident; |
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bool failedLastTime; |
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int frameNum; |
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void printme(FILE* port = stdout); |
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private: |
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double scale; |
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Size minSize; |
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}; |
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template<class T, class Tparams> |
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class TrackerProxyImpl : public TrackerProxy |
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{ |
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public: |
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TrackerProxyImpl(Tparams params = Tparams()) :params_(params){} |
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bool init(const Mat& image, const Rect2d& boundingBox) CV_OVERRIDE |
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{ |
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trackerPtr = T::create(); |
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return trackerPtr->init(image, boundingBox); |
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} |
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bool update(const Mat& image, Rect2d& boundingBox) CV_OVERRIDE |
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{ |
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return trackerPtr->update(image, boundingBox); |
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} |
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private: |
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Ptr<T> trackerPtr; |
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Tparams params_; |
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Rect2d boundingBox_; |
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}; |
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#undef BLUR_AS_VADIM |
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#undef CLOSED_LOOP |
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class TrackerTLDImpl : public TrackerTLD |
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{ |
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public: |
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TrackerTLDImpl(const TrackerTLD::Params ¶meters = TrackerTLD::Params()); |
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void read(const FileNode& fn) CV_OVERRIDE; |
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void write(FileStorage& fs) const CV_OVERRIDE; |
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Ptr<TrackerModel> getModel() |
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{ |
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return model; |
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} |
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class Pexpert |
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{ |
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public: |
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Pexpert(const Mat& img_in, const Mat& imgBlurred_in, Rect2d& resultBox_in, |
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const TLDDetector* detector_in, TrackerTLD::Params params_in, Size initSize_in) : |
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img_(img_in), imgBlurred_(imgBlurred_in), resultBox_(resultBox_in), detector_(detector_in), params_(params_in), initSize_(initSize_in){} |
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bool operator()(Rect2d /*box*/){ return false; } |
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int additionalExamples(std::vector<Mat_<uchar> >& examplesForModel, std::vector<Mat_<uchar> >& examplesForEnsemble); |
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protected: |
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Pexpert() : detector_(NULL) {} |
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Mat img_, imgBlurred_; |
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Rect2d resultBox_; |
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const TLDDetector* detector_; |
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TrackerTLD::Params params_; |
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RNG rng; |
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Size initSize_; |
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}; |
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class Nexpert : public Pexpert |
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{ |
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public: |
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Nexpert(const Mat& img_in, Rect2d& resultBox_in, const TLDDetector* detector_in, TrackerTLD::Params params_in) |
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{ |
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img_ = img_in; resultBox_ = resultBox_in; detector_ = detector_in; params_ = params_in; |
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} |
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bool operator()(Rect2d box); |
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int additionalExamples(std::vector<Mat_<uchar> >& examplesForModel, std::vector<Mat_<uchar> >& examplesForEnsemble) |
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{ |
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examplesForModel.clear(); examplesForEnsemble.clear(); return 0; |
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} |
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}; |
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bool initImpl(const Mat& image, const Rect2d& boundingBox) CV_OVERRIDE; |
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bool updateImpl(const Mat& image, Rect2d& boundingBox) CV_OVERRIDE; |
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TrackerTLD::Params params; |
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Ptr<Data> data; |
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Ptr<TrackerProxy> trackerProxy; |
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}; |
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} |
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} |
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#endif
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