mirror of https://github.com/opencv/opencv.git
yao
12 years ago
parent
843094a07f
commit
2c198f6cd6
14 changed files with 387 additions and 609 deletions
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/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, 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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// Jia Haipeng, jiahaipeng95@gmail.com
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// Sen Liu, swjutls1987@126.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 "opencv2/objdetect/objdetect.hpp" |
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#include "precomp.hpp" |
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#ifdef HAVE_OPENCL |
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using namespace cvtest; |
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using namespace testing; |
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using namespace std; |
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using namespace cv; |
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extern string workdir; |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(CascadeName, std::string); |
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CascadeName cascade_frontalface_alt(std::string("haarcascade_frontalface_alt.xml")); |
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CascadeName cascade_frontalface_alt2(std::string("haarcascade_frontalface_alt2.xml")); |
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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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} |
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PARAM_TEST_CASE(Haar, double, int, CascadeName) |
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{ |
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cv::ocl::OclCascadeClassifier cascade, nestedCascade; |
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cv::CascadeClassifier cpucascade, cpunestedCascade; |
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double scale; |
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int flags; |
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std::string cascadeName; |
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virtual void SetUp() |
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{ |
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scale = GET_PARAM(0); |
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flags = GET_PARAM(1); |
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cascadeName = (workdir + "../../data/haarcascades/").append(GET_PARAM(2)); |
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if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName)) ) |
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{ |
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cout << "ERROR: Could not load classifier cascade" << endl; |
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return; |
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} |
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} |
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}; |
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////////////////////////////////faceDetect/////////////////////////////////////////////////
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TEST_P(Haar, FaceDetect) |
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{ |
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string imgName = workdir + "lena.jpg"; |
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Mat img = imread( imgName, 1 ); |
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if(img.empty()) |
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{ |
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std::cout << "Couldn't read " << imgName << std::endl; |
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return ; |
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} |
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vector<Rect> faces, oclfaces; |
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Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 ); |
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MemStorage storage(cvCreateMemStorage(0)); |
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cvtColor( img, gray, CV_BGR2GRAY ); |
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resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR ); |
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equalizeHist( smallImg, smallImg ); |
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cv::ocl::oclMat image; |
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CvSeq *_objects; |
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image.upload(smallImg); |
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_objects = cascade.oclHaarDetectObjects( image, storage, 1.1, |
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3, flags, Size(30, 30), Size(0, 0) ); |
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vector<CvAvgComp> vecAvgComp; |
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Seq<CvAvgComp>(_objects).copyTo(vecAvgComp); |
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oclfaces.resize(vecAvgComp.size()); |
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std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect()); |
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cpucascade.detectMultiScale( smallImg, faces, 1.1, 3, |
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flags, |
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Size(30, 30), Size(0, 0) ); |
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EXPECT_EQ(faces.size(), oclfaces.size()); |
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} |
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TEST_P(Haar, FaceDetectUseBuf) |
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{ |
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string imgName = workdir + "lena.jpg"; |
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Mat img = imread( imgName, 1 ); |
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if(img.empty()) |
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{ |
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std::cout << "Couldn't read " << imgName << std::endl; |
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return ; |
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} |
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vector<Rect> faces, oclfaces; |
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Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 ); |
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cvtColor( img, gray, CV_BGR2GRAY ); |
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resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR ); |
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equalizeHist( smallImg, smallImg ); |
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cv::ocl::oclMat image; |
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image.upload(smallImg); |
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cv::ocl::OclCascadeClassifierBuf cascadebuf; |
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if( !cascadebuf.load( cascadeName ) ) |
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{ |
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cout << "ERROR: Could not load classifier cascade for FaceDetectUseBuf!" << endl; |
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return; |
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} |
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cascadebuf.detectMultiScale( image, oclfaces, 1.1, 3, |
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flags, |
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Size(30, 30), Size(0, 0) ); |
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cpucascade.detectMultiScale( smallImg, faces, 1.1, 3, |
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flags, |
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Size(30, 30), Size(0, 0) ); |
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EXPECT_EQ(faces.size(), oclfaces.size()); |
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// intentionally run ocl facedetect again and check if it still works after the first run
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cascadebuf.detectMultiScale( image, oclfaces, 1.1, 3, |
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flags, |
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Size(30, 30)); |
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cascadebuf.release(); |
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EXPECT_EQ(faces.size(), oclfaces.size()); |
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} |
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INSTANTIATE_TEST_CASE_P(FaceDetect, Haar, |
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Combine(Values(1.0), |
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Values(CV_HAAR_SCALE_IMAGE, 0), Values(cascade_frontalface_alt, cascade_frontalface_alt2))); |
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#endif // HAVE_OPENCL
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@ -1,91 +0,0 @@ |
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/*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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// Zhang Chunpeng chunpeng@multicorewareinc.com
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// Yao Wang yao@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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#include "opencv2/core/core.hpp" |
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#ifdef HAVE_OPENCL |
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using namespace cv; |
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using namespace cvtest; |
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using namespace testing; |
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using namespace std; |
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PARAM_TEST_CASE(PyrUp, MatType, int) |
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{ |
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int type; |
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int channels; |
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virtual void SetUp() |
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{ |
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type = GET_PARAM(0); |
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channels = GET_PARAM(1); |
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} |
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}; |
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TEST_P(PyrUp, Accuracy) |
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{ |
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for(int j = 0; j < LOOP_TIMES; j++) |
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{ |
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Size size(MWIDTH, MHEIGHT); |
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Mat src = randomMat(size, CV_MAKETYPE(type, channels)); |
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Mat dst_gold; |
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pyrUp(src, dst_gold); |
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ocl::oclMat dst; |
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ocl::oclMat srcMat(src); |
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ocl::pyrUp(srcMat, dst); |
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EXPECT_MAT_NEAR(dst_gold, Mat(dst), (type == CV_32F ? 1e-4f : 1.0)); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, PyrUp, testing::Combine( |
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Values(CV_8U, CV_32F), Values(1, 3, 4))); |
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#endif // HAVE_OPENCL
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