root/modules/cudaobjdetect/perf/perf_objdetect.cpp

DEFINITIONS

1. PERF_TEST_P
2. PERF_TEST_P
3. PERF_TEST_P

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#include "perf_precomp.hpp"

using namespace std;
using namespace testing;
using namespace perf;

///////////////////////////////////////////////////////////////
// HOG

DEF_PARAM_TEST_1(Image, string);

PERF_TEST_P(Image, ObjDetect_HOG,
            Values<string>("gpu/hog/road.png",
                           "gpu/caltech/image_00000009_0.png",
                           "gpu/caltech/image_00000032_0.png",
                           "gpu/caltech/image_00000165_0.png",
                           "gpu/caltech/image_00000261_0.png",
                           "gpu/caltech/image_00000469_0.png",
                           "gpu/caltech/image_00000527_0.png",
                           "gpu/caltech/image_00000574_0.png"))
{
    declare.time(300.0);

    const cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    if (PERF_RUN_CUDA())
    {
        const cv::cuda::GpuMat d_img(img);
        std::vector<cv::Rect> gpu_found_locations;

        cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();
        d_hog->setSVMDetector(d_hog->getDefaultPeopleDetector());

        TEST_CYCLE() d_hog->detectMultiScale(d_img, gpu_found_locations);

        SANITY_CHECK(gpu_found_locations);
    }
    else
    {
        std::vector<cv::Rect> cpu_found_locations;

        cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();

        cv::HOGDescriptor hog;
        hog.setSVMDetector(d_hog->getDefaultPeopleDetector());

        TEST_CYCLE() hog.detectMultiScale(img, cpu_found_locations);

        SANITY_CHECK(cpu_found_locations);
    }
}

///////////////////////////////////////////////////////////////
// HaarClassifier

typedef pair<string, string> pair_string;
DEF_PARAM_TEST_1(ImageAndCascade, pair_string);

PERF_TEST_P(ImageAndCascade, ObjDetect_HaarClassifier,
            Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/perf/haarcascade_frontalface_alt.xml")))
{
    const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    if (PERF_RUN_CUDA())
    {
        cv::Ptr<cv::cuda::CascadeClassifier> d_cascade =
                cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second));

        const cv::cuda::GpuMat d_img(img);
        cv::cuda::GpuMat objects_buffer;

        TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer);

        std::vector<cv::Rect> gpu_rects;
        d_cascade->convert(objects_buffer, gpu_rects);

        cv::groupRectangles(gpu_rects, 3, 0.2);
        SANITY_CHECK(gpu_rects);
    }
    else
    {
        cv::CascadeClassifier cascade;
        ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml")));

        std::vector<cv::Rect> cpu_rects;

        TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects);

        SANITY_CHECK(cpu_rects);
    }
}

///////////////////////////////////////////////////////////////
// LBP cascade

PERF_TEST_P(ImageAndCascade, ObjDetect_LBPClassifier,
            Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/lbpcascade/lbpcascade_frontalface.xml")))
{
    const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    if (PERF_RUN_CUDA())
    {
        cv::Ptr<cv::cuda::CascadeClassifier> d_cascade =
                cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second));

        const cv::cuda::GpuMat d_img(img);
        cv::cuda::GpuMat objects_buffer;

        TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer);

        std::vector<cv::Rect> gpu_rects;
        d_cascade->convert(objects_buffer, gpu_rects);

        cv::groupRectangles(gpu_rects, 3, 0.2);
        SANITY_CHECK(gpu_rects);
    }
    else
    {
        cv::CascadeClassifier cascade;
        ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/lbpcascade/lbpcascade_frontalface.xml")));

        std::vector<cv::Rect> cpu_rects;

        TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects);

        SANITY_CHECK(cpu_rects);
    }
}