/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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*/ /* Haar features calculation */ #ifndef OPENCV_OBJDETECT_HAAR_HPP #define OPENCV_OBJDETECT_HAAR_HPP #define CV_HAAR_FEATURE_MAX_LOCAL 3 typedef int sumtype; typedef double sqsumtype; typedef struct CvHidHaarFeature { struct { sumtype *p0, *p1, *p2, *p3; float weight; } rect[CV_HAAR_FEATURE_MAX_LOCAL]; } CvHidHaarFeature; typedef struct CvHidHaarTreeNode { CvHidHaarFeature feature; float threshold; int left; int right; } CvHidHaarTreeNode; typedef struct CvHidHaarClassifier { int count; //CvHaarFeature* orig_feature; CvHidHaarTreeNode* node; float* alpha; } CvHidHaarClassifier; #define calc_sumf(rect,offset) \ static_cast((rect).p0[offset] - (rect).p1[offset] - (rect).p2[offset] + (rect).p3[offset]) namespace cv_haar_avx { #if 0 /*CV_TRY_AVX*/ #define CV_HAAR_USE_AVX 1 #else #define CV_HAAR_USE_AVX 0 #endif #if CV_HAAR_USE_AVX // AVX version icvEvalHidHaarClassifier. Process 8 CvHidHaarClassifiers per call. Check AVX support before invocation!! double icvEvalHidHaarClassifierAVX(CvHidHaarClassifier* classifier, double variance_norm_factor, size_t p_offset); double icvEvalHidHaarStumpClassifierAVX(CvHidHaarClassifier* classifier, double variance_norm_factor, size_t p_offset); double icvEvalHidHaarStumpClassifierTwoRectAVX(CvHidHaarClassifier* classifier, double variance_norm_factor, size_t p_offset); #endif } #endif /* End of file. */