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