C++ (Cpp) DeviceInfo Examples

Example #1

File: test_objdetect.cpp Project: 4auka/opencv

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        cv::gpu::setDevice(devInfo.deviceID());

        img = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
        ASSERT_FALSE(img.empty());
    }

Example #2

File: test_arithm.cpp Project: coapp-packages/opencv

    virtual void SetUp()
    {
        devInfo = std::tr1::get<0>(GetParam());
        type = std::tr1::get<1>(GetParam());

        cv::gpu::setDevice(devInfo.deviceID());

        cv::RNG& rng = cvtest::TS::ptr()->get_rng();

        size = cv::Size(rng.uniform(100, 200), rng.uniform(100, 200));
        
        mat1 = cvtest::randomMat(rng, size, type, 1, 16, false);
        mat2 = cvtest::randomMat(rng, size, type, 1, 16, false);
    }

Example #3

File: test_calib3d.cpp Project: dgiunchi/OpenCV

    virtual void SetUp() 
    {
        devInfo = GetParam();

        cv::gpu::setDevice(devInfo.deviceID());
        
        img_l = readImage("stereobm/aloe-L.png", CV_LOAD_IMAGE_GRAYSCALE);
        img_r = readImage("stereobm/aloe-R.png", CV_LOAD_IMAGE_GRAYSCALE);
        img_template = readImage("stereobm/aloe-disp.png", CV_LOAD_IMAGE_GRAYSCALE);
        
        ASSERT_FALSE(img_l.empty());
        ASSERT_FALSE(img_r.empty());
        ASSERT_FALSE(img_template.empty());
    }

Example #4

File: perf_imgproc.cpp Project: vpas/opencv

GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, cv::Size, DoSort)
{
    declare.time(30.0);

    const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
    cv::gpu::setDevice(devInfo.deviceID());
    const cv::Size size = GET_PARAM(1);
    const bool doSort = GET_PARAM(2);

    const float rho = 1.0f;
    const float theta = CV_PI / 180.0f;
    const int threshold = 300;

    cv::RNG rng(123456789);

    cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));

    const int numLines = rng.uniform(500, 2000);
    for (int i = 0; i < numLines; ++i)
    {
        cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
        cv::Point p2(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
        cv::line(src, p1, p2, cv::Scalar::all(255), 2);
    }

    cv::gpu::GpuMat d_src(src);
    cv::gpu::GpuMat d_lines;
    cv::gpu::GpuMat d_accum;
    cv::gpu::GpuMat d_buf;
    cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);

    TEST_CYCLE()
    {
        cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);
    }
}

Example #5

File: test_features2d.cpp Project: dgiunchi/OpenCV

    virtual void SetUp()
    {
        devInfo = GetParam();

        cv::gpu::setDevice(devInfo.deviceID());
        
        image = readImage("features2d/aloe.png", CV_LOAD_IMAGE_GRAYSCALE);
        ASSERT_FALSE(image.empty());        
        
        mask = cv::Mat(image.size(), CV_8UC1, cv::Scalar::all(1));
        mask(cv::Range(0, image.rows / 2), cv::Range(0, image.cols / 2)).setTo(cv::Scalar::all(0));
                
        cv::SURF fdetector_gold; fdetector_gold.extended = false;
        fdetector_gold(image, mask, keypoints_gold, descriptors_gold);        
    }

Example #6

    virtual void SetUp()
    {
        devInfo = std::tr1::get<0>(GetParam());
        type = std::tr1::get<1>(GetParam());

        cv::gpu::setDevice(devInfo.deviceID());

        cv::RNG& rng = cvtest::TS::ptr()->get_rng();

        size = cv::Size(rng.uniform(20, 150), rng.uniform(20, 150));

        int depth = CV_MAT_DEPTH(type);
        int num_channels = CV_MAT_CN(type);
        src.reserve(num_channels);
        for (int i = 0; i < num_channels; ++i)
            src.push_back(cv::Mat(size, depth, cv::Scalar::all(i)));

        cv::merge(src, dst_gold);
    }

Example #7

File: test_hog.cpp Project: heroacool/OpenCVMirror

    virtual void SetUp()
    {
        devInfo = GetParam();

        cv::gpu::setDevice(devInfo.deviceID());
    }

Example #8

File: test_gpu_base.cpp Project: JaehyunAhn/Basic_OpenCV_utilization

bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature)
{
    return cv::gpu::TargetArchs::builtWith(feature) && info.supports(feature);
}