/*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, Institute Of Software Chinese Academy Of Science, all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Jia Haipeng, jiahaipeng95@gmail.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" #ifdef HAVE_OPENCL using namespace cvtest; using namespace testing; using namespace std; using namespace cv; extern std::string workdir; struct getRect { Rect operator ()(const CvAvgComp &e) const { return e.rect; } }; PARAM_TEST_CASE(HaarTestBase, int, int) { //std::vector oclinfo; cv::ocl::OclCascadeClassifier cascade, nestedCascade; cv::CascadeClassifier cpucascade, cpunestedCascade; // Mat img; double scale; int index; virtual void SetUp() { scale = 1.0; index = 0; string cascadeName = "../../../data/haarcascades/haarcascade_frontalface_alt.xml"; if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName))) { cout << "ERROR: Could not load classifier cascade" << endl; return; } //int devnums = getDevice(oclinfo); //CV_Assert(devnums>0); ////if you want to use undefault device, set it here ////setDevice(oclinfo[0]); //cv::ocl::setBinpath("E:\\"); } }; ////////////////////////////////faceDetect///////////////////////////////////////////////// struct Haar : HaarTestBase {}; TEST_F(Haar, FaceDetect) { string imgName = workdir + "lena.jpg"; Mat img = imread( imgName, 1 ); if(img.empty()) { std::cout << imgName << std::endl; return ; } //int i = 0; double t = 0; vector faces, oclfaces; // const static Scalar colors[] = { CV_RGB(0, 0, 255), // CV_RGB(0, 128, 255), // CV_RGB(0, 255, 255), // CV_RGB(0, 255, 0), // CV_RGB(255, 128, 0), // CV_RGB(255, 255, 0), // CV_RGB(255, 0, 0), // CV_RGB(255, 0, 255) // } ; Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 ); MemStorage storage(cvCreateMemStorage(0)); cvtColor( img, gray, CV_BGR2GRAY ); resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR ); equalizeHist( smallImg, smallImg ); t = (double)cvGetTickCount(); for(int k = 0; k < LOOP_TIMES; k++) { cpucascade.detectMultiScale( smallImg, faces, 1.1, 3, 0 | CV_HAAR_SCALE_IMAGE , Size(30, 30), Size(0, 0) ); } t = (double)cvGetTickCount() - t ; printf( "cpudetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) ); cv::ocl::oclMat image; CvSeq *_objects=NULL; t = (double)cvGetTickCount(); for(int k = 0; k < LOOP_TIMES; k++) { image.upload(smallImg); _objects = cascade.oclHaarDetectObjects( image, storage, 1.1, 3, 0 | CV_HAAR_SCALE_IMAGE , Size(30, 30), Size(0, 0) ); } t = (double)cvGetTickCount() - t ; printf( "ocldetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) ); vector vecAvgComp; Seq(_objects).copyTo(vecAvgComp); oclfaces.resize(vecAvgComp.size()); std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect()); //for( vector::const_iterator r = faces.begin(); r != faces.end(); r++, i++ ) //{ // Mat smallImgROI; // Point center; // Scalar color = colors[i%8]; // int radius; // center.x = cvRound((r->x + r->width*0.5)*scale); // center.y = cvRound((r->y + r->height*0.5)*scale); // radius = cvRound((r->width + r->height)*0.25*scale); // circle( img, center, radius, color, 3, 8, 0 ); //} //namedWindow("result"); //imshow("result",img); //waitKey(0); //destroyAllWindows(); } #endif // HAVE_OPENCL