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Open Source Computer Vision Library
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123 lines
4.4 KiB
123 lines
4.4 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) 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 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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#include "perf_precomp.hpp" |
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using namespace perf; |
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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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PERF_TEST(HaarFixture, Haar) |
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{ |
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vector<Rect> faces; |
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Mat img = imread(getDataPath("gpu/haarcascade/basketball1.png"), CV_LOAD_IMAGE_GRAYSCALE); |
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ASSERT_TRUE(!img.empty()) << "can't open basketball1.png"; |
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declare.in(img); |
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if (RUN_PLAIN_IMPL) |
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{ |
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CascadeClassifier faceCascade; |
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ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml"))) |
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<< "can't load haarcascade_frontalface_alt.xml"; |
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TEST_CYCLE() faceCascade.detectMultiScale(img, faces, |
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1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); |
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SANITY_CHECK(faces, 4 + 1e-4); |
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} |
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else if (RUN_OCL_IMPL) |
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{ |
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ocl::CascadeClassifier_GPU faceCascade; |
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ocl::oclMat oclImg(img); |
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ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml"))) |
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<< "can't load haarcascade_frontalface_alt.xml"; |
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OCL_TEST_CYCLE() faceCascade.detectMultiScale(oclImg, faces, |
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1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); |
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SANITY_CHECK(faces, 4 + 1e-4); |
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} |
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else |
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OCL_PERF_ELSE |
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}
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