opencv/modules/ocl/test/test_haar.cpp

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// @Authors
//    Jia Haipeng, jiahaipeng95@gmail.com
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#include "opencv2/objdetect/objdetect.hpp"
#include "precomp.hpp"

#ifdef HAVE_OPENCL

using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv;

struct getRect
{
    Rect operator ()(const CvAvgComp &e) const
    {
        return e.rect;
    }
};

PARAM_TEST_CASE(HaarTestBase, int, int)
{
	std::vector<cv::ocl::Info> oclinfo;
    cv::ocl::OclCascadeClassifier cascade, nestedCascade;
    cv::CascadeClassifier cpucascade, cpunestedCascade;
    //    Mat img;

    double scale;
    int index;

    virtual void SetUp()
    {
        scale = 1.1;

#if WIN32
        string cascadeName = "E:\\opencvbuffer\\trunk\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
#else
        string cascadeName = "../data/haarcascades/haarcascade_frontalface_alt.xml";
#endif

        if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName)))
        {
            cout << "ERROR: Could not load classifier cascade" << endl;
            cout << "Usage: facedetect [--cascade=<cascade_path>]\n"
                 "   [--nested-cascade[=nested_cascade_path]]\n"
                 "   [--scale[=<image scale>\n"
                 "   [filename|camera_index]\n" << endl ;

            return;
        }
    int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
    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_P(Haar, FaceDetect)
{
   
    for(int index = 1; index < 2; index++)
    {
        Mat img;
        char buff[256];
#if WIN32
        sprintf(buff, "E:\\myDataBase\\%d.jpg", index);
        img = imread( buff, 1 );
#else
        sprintf(buff, "%d.jpg", index);
        img = imread( buff, 1 );
        std::cout << "Now test " << index << ".jpg" << std::endl;
#endif
        if(img.empty())
        {
            std::cout << "Couldn't read test" << index << ".jpg" << std::endl;
            continue;
        }

        int i = 0;
        double t = 0;
        vector<Rect> faces;

        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 );
        CvMat _image = smallImg;

        Mat tempimg(&_image, false);

        cv::ocl::oclMat image(tempimg);
        CvSeq *_objects;

#if 1
        for(int k = 0; k < 10; k++)
        {
            t = (double)cvGetTickCount();
            _objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
                       2, 0
                       | CV_HAAR_SCALE_IMAGE
                       , Size(30, 30), Size(0, 0) );

            t = (double)cvGetTickCount() - t ;
            printf( "detection time = %g ms\n", t / ((double)cvGetTickFrequency() * 1000.) );
        }

#else
        cpucascade.detectMultiScale( image, faces,  1.1,
                                     2, 0
                                     | CV_HAAR_SCALE_IMAGE
                                     , Size(30, 30), Size(0, 0) );

#endif
        vector<CvAvgComp> vecAvgComp;
        Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
        faces.resize(vecAvgComp.size());
        std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect());

        for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
        {
            Mat smallImgROI;
            vector<Rect> nestedObjects;
            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 );
        }

#if WIN32
        sprintf(buff, "E:\\result1\\%d.jpg", index);
        imwrite(buff, img);
#else
        sprintf(buff, "testdet_%d.jpg", index);
        imwrite(buff, img);
#endif
    }
}


//INSTANTIATE_TEST_CASE_P(HaarTestBase, Haar, Combine(Values(1),
  //          Values(1)));


#endif // HAVE_OPENCL