format files to ANSI C style with coolformat
change the download channels to oclchannles() fix bugs of arithm functions perf fix of bilateral bug fix of split test case add build_warps functions
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niko
@@ -53,118 +53,125 @@ using namespace testing;
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using namespace std;
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using namespace cv;
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struct getRect { Rect operator ()(const CvAvgComp& e) const { return e.rect; } };
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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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PARAM_TEST_CASE(HaarTestBase, int, int)
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{
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//std::vector<cv::ocl::Info> oclinfo;
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cv::ocl::OclCascadeClassifier cascade, nestedCascade;
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cv::CascadeClassifier cpucascade, cpunestedCascade;
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// Mat img;
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//std::vector<cv::ocl::Info> oclinfo;
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cv::ocl::OclCascadeClassifier cascade, nestedCascade;
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cv::CascadeClassifier cpucascade, cpunestedCascade;
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// Mat img;
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double scale;
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int index;
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double scale;
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int index;
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virtual void SetUp()
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{
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scale = 1.0;
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index=0;
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string cascadeName="../../../data/haarcascades/haarcascade_frontalface_alt.xml";
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virtual void SetUp()
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{
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scale = 1.0;
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index = 0;
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string cascadeName = "../../../data/haarcascades/haarcascade_frontalface_alt.xml";
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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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cout << "Usage: facedetect [--cascade=<cascade_path>]\n"
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" [--scale[=<image scale>\n"
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" [filename|camera_index]\n" << endl ;
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return;
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}
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums>0);
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////if you want to use undefault device, set it here
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////setDevice(oclinfo[0]);
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//cv::ocl::setBinpath("E:\\");
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}
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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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cout << "Usage: facedetect [--cascade=<cascade_path>]\n"
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" [--scale[=<image scale>\n"
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" [filename|camera_index]\n" << endl ;
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return;
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}
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums>0);
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////if you want to use undefault device, set it here
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////setDevice(oclinfo[0]);
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//cv::ocl::setBinpath("E:\\");
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}
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};
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////////////////////////////////faceDetect/////////////////////////////////////////////////
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struct Haar : HaarTestBase {};
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TEST_F(Haar, FaceDetect)
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{
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string imgName = "../../../samples/c/lena.jpg";
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Mat img = imread( imgName, 1 );
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TEST_F(Haar, FaceDetect)
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{
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string imgName = "../../../samples/c/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 test" << index <<".jpg" << std::endl;
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return ;
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}
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if(img.empty())
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{
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std::cout << "Couldn't read test" << index << ".jpg" << std::endl;
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return ;
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}
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int i = 0;
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double t = 0;
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vector<Rect> faces, oclfaces;
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int i = 0;
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double t = 0;
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vector<Rect> faces, oclfaces;
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const static Scalar colors[] = { CV_RGB(0,0,255),
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CV_RGB(0,128,255),
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CV_RGB(0,255,255),
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CV_RGB(0,255,0),
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CV_RGB(255,128,0),
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CV_RGB(255,255,0),
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CV_RGB(255,0,0),
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CV_RGB(255,0,255)} ;
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const static Scalar colors[] = { CV_RGB(0, 0, 255),
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CV_RGB(0, 128, 255),
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CV_RGB(0, 255, 255),
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CV_RGB(0, 255, 0),
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CV_RGB(255, 128, 0),
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CV_RGB(255, 255, 0),
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CV_RGB(255, 0, 0),
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CV_RGB(255, 0, 255)
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} ;
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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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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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t = (double)cvGetTickCount();
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for(int k= 0; k<LOOP_TIMES; k++)
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{
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cpucascade.detectMultiScale( smallImg, faces, 1.1,
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3, 0
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|CV_HAAR_SCALE_IMAGE
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, Size(30,30), Size(0, 0) );
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}
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t = (double)cvGetTickCount() - t ;
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printf( "cpudetection time = %g ms\n", t/(LOOP_TIMES*(double)cvGetTickFrequency()*1000.) );
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t = (double)cvGetTickCount();
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for(int k = 0; k < LOOP_TIMES; k++)
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{
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cpucascade.detectMultiScale( smallImg, faces, 1.1,
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3, 0
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| CV_HAAR_SCALE_IMAGE
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, Size(30, 30), Size(0, 0) );
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}
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t = (double)cvGetTickCount() - t ;
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printf( "cpudetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) );
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cv::ocl::oclMat image;
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CvSeq* _objects;
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t = (double)cvGetTickCount();
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for(int k= 0; k<LOOP_TIMES; k++)
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{
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image.upload(smallImg);
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_objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
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3, 0
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|CV_HAAR_SCALE_IMAGE
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, Size(30,30), Size(0, 0) );
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}
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t = (double)cvGetTickCount() - t ;
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printf( "ocldetection time = %g ms\n", t/(LOOP_TIMES*(double)cvGetTickFrequency()*1000.) );
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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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cv::ocl::oclMat image;
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CvSeq *_objects;
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t = (double)cvGetTickCount();
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for(int k = 0; k < LOOP_TIMES; k++)
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{
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image.upload(smallImg);
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_objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
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3, 0
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| CV_HAAR_SCALE_IMAGE
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, Size(30, 30), Size(0, 0) );
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}
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t = (double)cvGetTickCount() - t ;
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printf( "ocldetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) );
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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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//for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
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//{
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// Mat smallImgROI;
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// Point center;
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// Scalar color = colors[i%8];
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// int radius;
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// center.x = cvRound((r->x + r->width*0.5)*scale);
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// center.y = cvRound((r->y + r->height*0.5)*scale);
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// radius = cvRound((r->width + r->height)*0.25*scale);
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// circle( img, center, radius, color, 3, 8, 0 );
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//}
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//namedWindow("result");
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//imshow("result",img);
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//waitKey(0);
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//destroyAllWindows();
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//for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
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//{
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// Mat smallImgROI;
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// Point center;
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// Scalar color = colors[i%8];
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// int radius;
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// center.x = cvRound((r->x + r->width*0.5)*scale);
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// center.y = cvRound((r->y + r->height*0.5)*scale);
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// radius = cvRound((r->width + r->height)*0.25*scale);
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// circle( img, center, radius, color, 3, 8, 0 );
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//}
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//namedWindow("result");
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//imshow("result",img);
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//waitKey(0);
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//destroyAllWindows();
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}
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#endif // HAVE_OPENCL
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