opencv/modules/ocl/test/test_haar.cpp

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// @Authors
//    Jia Haipeng, jiahaipeng95@gmail.com
//    Sen Liu, swjutls1987@126.com
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#include "opencv2/objdetect.hpp"
#include "precomp.hpp"

#if 0 //def HAVE_OPENCL

using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv;
extern string workdir;

namespace
{
IMPLEMENT_PARAM_CLASS(CascadeName, std::string);
CascadeName cascade_frontalface_alt(std::string("haarcascade_frontalface_alt.xml"));
CascadeName cascade_frontalface_alt2(std::string("haarcascade_frontalface_alt2.xml"));
struct getRect
{
    Rect operator ()(const CvAvgComp &e) const
    {
        return e.rect;
    }
};
}

PARAM_TEST_CASE(Haar, double, int, CascadeName)
{
    cv::ocl::OclCascadeClassifier cascade, nestedCascade;
    cv::CascadeClassifier cpucascade, cpunestedCascade;

    double scale;
    int flags;
    std::string cascadeName;

    virtual void SetUp()
    {
        scale = GET_PARAM(0);
        flags = GET_PARAM(1);
        cascadeName = (workdir + "../../data/haarcascades/").append(GET_PARAM(2));

        if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName)) )
        {
            cout << "ERROR: Could not load classifier cascade" << endl;
            return;
        }
    }
};

////////////////////////////////faceDetect/////////////////////////////////////////////////
TEST_P(Haar, FaceDetect)
{
    string imgName = workdir + "lena.jpg";
    Mat img = imread( imgName, 1 );

    if(img.empty())
    {
        std::cout << "Couldn't read " << imgName << std::endl;
        return ;
    }

    vector<Rect> faces, oclfaces;

    Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 );
    MemStorage storage(cvCreateMemStorage(0));
    cvtColor( img, gray, COLOR_BGR2GRAY );
    resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
    equalizeHist( smallImg, smallImg );

    cv::ocl::oclMat image;
    CvSeq *_objects;
    image.upload(smallImg);
    _objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
                   3, flags, Size(30, 30), Size(0, 0) );
    vector<CvAvgComp> vecAvgComp;
    Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
    oclfaces.resize(vecAvgComp.size());
    std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect());
    
    cpucascade.detectMultiScale( smallImg, faces,  1.1, 3,
                                 flags,
                                 Size(30, 30), Size(0, 0) );
    EXPECT_EQ(faces.size(), oclfaces.size());
}

TEST_P(Haar, FaceDetectUseBuf)
{
    string imgName = workdir + "lena.jpg";
    Mat img = imread( imgName, 1 );

    if(img.empty())
    {
        std::cout << "Couldn't read " << imgName << std::endl;
        return ;
    }

    vector<Rect> faces, oclfaces;

    Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 );
    cvtColor( img, gray, CV_BGR2GRAY );
    resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
    equalizeHist( smallImg, smallImg );

    cv::ocl::oclMat image;
    image.upload(smallImg);

    cv::ocl::OclCascadeClassifierBuf cascadebuf;
    if( !cascadebuf.load( cascadeName ) )
    {
        cout << "ERROR: Could not load classifier cascade for FaceDetectUseBuf!" << endl;
        return;
    }
    cascadebuf.detectMultiScale( image, oclfaces,  1.1, 3,
                                 flags,
                                 Size(30, 30), Size(0, 0) );

    cpucascade.detectMultiScale( smallImg, faces,  1.1, 3,
                                 flags,
                                 Size(30, 30), Size(0, 0) );
    EXPECT_EQ(faces.size(), oclfaces.size());

    // intentionally run ocl facedetect again and check if it still works after the first run
    cascadebuf.detectMultiScale( image, oclfaces,  1.1, 3,
        flags,
        Size(30, 30));
    cascadebuf.release();
    EXPECT_EQ(faces.size(), oclfaces.size());
}

INSTANTIATE_TEST_CASE_P(FaceDetect, Haar,
    Combine(Values(1.0),
            Values(CV_HAAR_SCALE_IMAGE, 0), Values(cascade_frontalface_alt, cascade_frontalface_alt2)));

#endif // HAVE_OPENCL