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122 lines
4.7 KiB
122 lines
4.7 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_DETECTOR |
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#define OPENCV_TLD_DETECTOR |
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#include "precomp.hpp" |
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#include "opencl_kernels_tracking.hpp" |
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#include "tldEnsembleClassifier.hpp" |
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#include "tldUtils.hpp" |
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namespace cv |
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{ |
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namespace tld |
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{ |
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const int STANDARD_PATCH_SIZE = 15; |
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const int NEG_EXAMPLES_IN_INIT_MODEL = 300; |
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const int MAX_EXAMPLES_IN_MODEL = 500; |
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const int MEASURES_PER_CLASSIFIER = 13; |
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const int GRIDSIZE = 15; |
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const int DOWNSCALE_MODE = cv::INTER_LINEAR_EXACT; |
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const double THETA_NN = 0.5; |
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const double CORE_THRESHOLD = 0.5; |
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const double CLASSIFIER_MARGIN = 0.1; |
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const double SCALE_STEP = 1.2; |
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const double ENSEMBLE_THRESHOLD = 0.5; |
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const double VARIANCE_THRESHOLD = 0.5; |
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const double NEXPERT_THRESHOLD = 0.2; |
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static const cv::Size GaussBlurKernelSize(3, 3); |
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class TLDDetector |
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{ |
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public: |
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TLDDetector(){} |
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~TLDDetector(){} |
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double ensembleClassifierNum(const uchar* data); |
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void prepareClassifiers(int rowstep); |
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double Sr(const Mat_<uchar>& patch) const; |
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double Sc(const Mat_<uchar>& patch) const; |
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std::pair<double, double> SrAndSc(const Mat_<uchar>& patch) const; |
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#ifdef HAVE_OPENCL |
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double ocl_Sr(const Mat_<uchar>& patch); |
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double ocl_Sc(const Mat_<uchar>& patch); |
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void ocl_batchSrSc(const Mat_<uchar>& patches, double *resultSr, double *resultSc, int numOfPatches); |
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#endif |
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std::vector<TLDEnsembleClassifier> classifiers; |
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Mat *posExp, *negExp; |
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int *posNum, *negNum; |
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std::vector<Mat_<uchar> > *positiveExamples, *negativeExamples; |
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std::vector<int> *timeStampsPositive, *timeStampsNegative; |
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double *originalVariancePtr; |
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std::vector<double> scValues, srValues; |
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std::vector<Mat_<uchar> > standardPatches; |
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std::vector <Mat> resized_imgs, blurred_imgs; |
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std::vector <Point> varBuffer, ensBuffer; |
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std::vector <int> varScaleIDs, ensScaleIDs; |
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static void generateScanGrid(int rows, int cols, Size initBox, std::vector<Rect2d>& res, bool withScaling = false); |
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struct LabeledPatch |
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{ |
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Rect2d rect; |
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bool isObject, shouldBeIntegrated; |
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}; |
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bool detect(const Mat& img, const Mat& imgBlurred, Rect2d& res, std::vector<LabeledPatch>& patches, Size initSize); |
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bool ocl_detect(const Mat& img, const Mat& imgBlurred, Rect2d& res, std::vector<LabeledPatch>& patches, Size initSize); |
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friend class MyMouseCallbackDEBUG; |
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static void computeIntegralImages(const Mat& img, Mat_<double>& intImgP, Mat_<double>& intImgP2){ integral(img, intImgP, intImgP2, CV_64F); } |
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static inline bool patchVariance(Mat_<double>& intImgP, Mat_<double>& intImgP2, double *originalVariance, Point pt, Size size); |
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protected: |
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double computeSminus(const Mat_<uchar>& patch) const; |
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}; |
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} |
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} |
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#endif
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