/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #ifndef OPENCV_TLD_DETECTOR #define OPENCV_TLD_DETECTOR #include "precomp.hpp" #include "opencl_kernels_tracking.hpp" #include "tldEnsembleClassifier.hpp" #include "tldUtils.hpp" namespace cv { namespace tld { const int STANDARD_PATCH_SIZE = 15; const int NEG_EXAMPLES_IN_INIT_MODEL = 300; const int MAX_EXAMPLES_IN_MODEL = 500; const int MEASURES_PER_CLASSIFIER = 13; const int GRIDSIZE = 15; const int DOWNSCALE_MODE = cv::INTER_LINEAR_EXACT; const double THETA_NN = 0.5; const double CORE_THRESHOLD = 0.5; const double CLASSIFIER_MARGIN = 0.1; const double SCALE_STEP = 1.2; const double ENSEMBLE_THRESHOLD = 0.5; const double VARIANCE_THRESHOLD = 0.5; const double NEXPERT_THRESHOLD = 0.2; static const cv::Size GaussBlurKernelSize(3, 3); class TLDDetector { public: TLDDetector(){} ~TLDDetector(){} double ensembleClassifierNum(const uchar* data); void prepareClassifiers(int rowstep); double Sr(const Mat_<uchar>& patch) const; double Sc(const Mat_<uchar>& patch) const; std::pair<double, double> SrAndSc(const Mat_<uchar>& patch) const; #ifdef HAVE_OPENCL double ocl_Sr(const Mat_<uchar>& patch); double ocl_Sc(const Mat_<uchar>& patch); void ocl_batchSrSc(const Mat_<uchar>& patches, double *resultSr, double *resultSc, int numOfPatches); #endif std::vector<TLDEnsembleClassifier> classifiers; Mat *posExp, *negExp; int *posNum, *negNum; std::vector<Mat_<uchar> > *positiveExamples, *negativeExamples; std::vector<int> *timeStampsPositive, *timeStampsNegative; double *originalVariancePtr; std::vector<double> scValues, srValues; std::vector<Mat_<uchar> > standardPatches; std::vector <Mat> resized_imgs, blurred_imgs; std::vector <Point> varBuffer, ensBuffer; std::vector <int> varScaleIDs, ensScaleIDs; static void generateScanGrid(int rows, int cols, Size initBox, std::vector<Rect2d>& res, bool withScaling = false); struct LabeledPatch { Rect2d rect; bool isObject, shouldBeIntegrated; }; bool detect(const Mat& img, const Mat& imgBlurred, Rect2d& res, std::vector<LabeledPatch>& patches, Size initSize); bool ocl_detect(const Mat& img, const Mat& imgBlurred, Rect2d& res, std::vector<LabeledPatch>& patches, Size initSize); friend class MyMouseCallbackDEBUG; static void computeIntegralImages(const Mat& img, Mat_<double>& intImgP, Mat_<double>& intImgP2){ integral(img, intImgP, intImgP2, CV_64F); } static inline bool patchVariance(Mat_<double>& intImgP, Mat_<double>& intImgP2, double *originalVariance, Point pt, Size size); protected: double computeSminus(const Mat_<uchar>& patch) const; }; } } #endif