/*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) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Fangfang Bai, fangfang@multicorewareinc.com // Jin Ma, jin@multicorewareinc.com // // 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 oclMaterials 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*/ #include "precomp.hpp" #if 0 ///////////// Haar //////////////////////// namespace cv { namespace ocl { struct getRect { Rect operator()(const CvAvgComp &e) const { return e.rect; } }; class CascadeClassifier_GPU : public OclCascadeClassifier { public: void detectMultiScale(oclMat &image, CV_OUT std::vector& faces, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size()) { (void)maxSize; MemStorage storage(cvCreateMemStorage(0)); //CvMat img=image; CvSeq *objs = oclHaarDetectObjects(image, storage, scaleFactor, minNeighbors, flags, minSize); vector vecAvgComp; Seq(objs).copyTo(vecAvgComp); faces.resize(vecAvgComp.size()); std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect()); } }; } } PERFTEST(Haar) { Mat img = imread(abspath("basketball1.png"), IMREAD_GRAYSCALE); if (img.empty()) { throw runtime_error("can't open basketball1.png"); } CascadeClassifier faceCascadeCPU; if (!faceCascadeCPU.load(abspath("haarcascade_frontalface_alt.xml"))) { throw runtime_error("can't load haarcascade_frontalface_alt.xml"); } vector faces; SUBTEST << img.cols << "x" << img.rows << "; scale image"; CPU_ON; faceCascadeCPU.detectMultiScale(img, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); CPU_OFF; vector oclfaces; ocl::CascadeClassifier_GPU faceCascade; if (!faceCascade.load(abspath("haarcascade_frontalface_alt.xml"))) { throw runtime_error("can't load haarcascade_frontalface_alt.xml"); } ocl::oclMat d_img(img); WARMUP_ON; faceCascade.detectMultiScale(d_img, oclfaces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); WARMUP_OFF; if(faces.size() == oclfaces.size()) TestSystem::instance().setAccurate(1, 0); else TestSystem::instance().setAccurate(0, abs((int)faces.size() - (int)oclfaces.size())); faces.clear(); GPU_ON; faceCascade.detectMultiScale(d_img, oclfaces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); GPU_OFF; GPU_FULL_ON; d_img.upload(img); faceCascade.detectMultiScale(d_img, oclfaces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); GPU_FULL_OFF; } #endif