opencv/modules/objdetect/test/opencl/test_hogdetector.cpp

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#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

///////////////////// HOG /////////////////////////////
PARAM_TEST_CASE(HOG, Size, MatType)
{
    Size winSize;
    int type;
    Mat img;
    UMat uimg;
    virtual void SetUp()
    {
        winSize = GET_PARAM(0);
        type = GET_PARAM(1);
        img = readImage("cascadeandhog/images/image_00000000_0.png", IMREAD_GRAYSCALE);
        ASSERT_FALSE(img.empty());
        img.copyTo(uimg);
    }
};

OCL_TEST_P(HOG, GetDescriptors)
{
    HOGDescriptor hog;
    hog.gammaCorrection = true;

    hog.setSVMDetector(hog.getDefaultPeopleDetector());

    std::vector<float> cpu_descriptors;
    std::vector<float> gpu_descriptors;

    OCL_OFF(hog.compute(img, cpu_descriptors, hog.winSize));
    OCL_ON(hog.compute(uimg, gpu_descriptors, hog.winSize));

    Mat cpu_desc(cpu_descriptors), gpu_desc(gpu_descriptors);

    EXPECT_MAT_SIMILAR(cpu_desc, gpu_desc, 1e-1);
}

OCL_TEST_P(HOG, Detect)
{
    HOGDescriptor hog;
    hog.winSize = winSize;
    hog.gammaCorrection = true;

    if (winSize.width == 48 && winSize.height == 96)
        hog.setSVMDetector(hog.getDaimlerPeopleDetector());
    else
        hog.setSVMDetector(hog.getDefaultPeopleDetector());

    std::vector<Rect> cpu_found;
    std::vector<Rect> gpu_found;

    OCL_OFF(hog.detectMultiScale(img, cpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6));
    OCL_ON(hog.detectMultiScale(uimg, gpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6));

    EXPECT_LT(checkRectSimilarity(img.size(), cpu_found, gpu_found), 0.05);
}

INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
                            testing::Values(Size(64, 128), Size(48, 96)),
                            testing::Values( MatType(CV_8UC1) ) ) );

}}
#endif