opencv/modules/imgproc/test/ocl/test_warp.cpp

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

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

/////////////////////////////////////////////////////////////////////////////////////////////////
// warpAffine  & warpPerspective

PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool)
{
    int type, interpolation;
    Size dsize;
    bool useRoi, mapInverse;

    TEST_DECLARE_INPUT_PARATEMER(src)
    TEST_DECLARE_OUTPUT_PARATEMER(dst)

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        interpolation = GET_PARAM(1);
        mapInverse = GET_PARAM(2);
        useRoi = GET_PARAM(3);

        if (mapInverse)
            interpolation |= WARP_INVERSE_MAP;
    }

    void random_roi()
    {
        dsize = randomSize(1, MAX_VALUE);

        Size roiSize = randomSize(1, MAX_VALUE);
        Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);

        Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, dsize, dstBorder, type, -MAX_VALUE, MAX_VALUE);

        UMAT_UPLOAD_INPUT_PARAMETER(src)
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
    }

    void Near(double threshold = 0.0)
    {
        EXPECT_MAT_NEAR(dst, udst, threshold);
        EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
    }
};

/////warpAffine

typedef WarpTestBase WarpAffine;

OCL_TEST_P(WarpAffine, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        random_roi();

        Mat M = getRotationMatrix2D(Point2f(src_roi.cols / 2.0f, src_roi.rows / 2.0f),
            rng.uniform(-180.f, 180.f), rng.uniform(0.4f, 2.0f));

        OCL_OFF(cv::warpAffine(src_roi, dst_roi, M, dsize, interpolation));
        OCL_ON(cv::warpAffine(usrc_roi, udst_roi, M, dsize, interpolation));

        Near(1.0);
    }
}

//// warpPerspective

typedef WarpTestBase WarpPerspective;

OCL_TEST_P(WarpPerspective, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        random_roi();

        float cols = static_cast<float>(src_roi.cols), rows = static_cast<float>(src_roi.rows);
        float cols2 = cols / 2.0f, rows2 = rows / 2.0f;
        Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) };
        Point2f dp[] = { Point2f(rng.uniform(0.0f, cols2), rng.uniform(0.0f, rows2)),
            Point2f(rng.uniform(cols2, cols), rng.uniform(0.0f, rows2)),
            Point2f(rng.uniform(0.0f, cols2), rng.uniform(rows2, rows)),
            Point2f(rng.uniform(cols2, cols), rng.uniform(rows2, rows)) };
        Mat M = getPerspectiveTransform(sp, dp);

        OCL_OFF(cv::warpPerspective(src_roi, dst_roi, M, dsize, interpolation));
        OCL_ON(cv::warpPerspective(usrc_roi, udst_roi, M, dsize, interpolation));

        Near(1.0);
    }
}


/////////////////////////////////////////////////////////////////////////////////////////////////
//// resize

PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool)
{
    int type, interpolation;
    double fx, fy;
    bool useRoi;

    TEST_DECLARE_INPUT_PARAMETER(src)
    TEST_DECLARE_OUTPUT_PARAMETER(dst)

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        fx = GET_PARAM(1);
        fy = GET_PARAM(2);
        interpolation = GET_PARAM(3);
        useRoi = GET_PARAM(4);
    }

    void random_roi()
    {
        CV_Assert(fx > 0 && fy > 0);

        Size srcRoiSize = randomSize(1, MAX_VALUE), dstRoiSize;
        dstRoiSize.width = cvRound(srcRoiSize.width * fx);
        dstRoiSize.height = cvRound(srcRoiSize.height * fy);

        if (dstRoiSize.area() == 0)
        {
            random_roi();
            return;
        }

        Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src, src_roi, srcRoiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);

        Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, dstRoiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);

        UMAT_UPLOAD_INPUT_PARAMETER(src);
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
    }

    void Near(double threshold = 0.0)
    {
        EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
        EXPECT_MAT_NEAR(dst, udst, threshold);
    }
};

OCL_TEST_P(Resize, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        random_roi();

        OCL_OFF(cv::resize(src_roi, dst_roi, Size(), fx, fy, interpolation));
        OCL_ON(cv::resize(usrc_roi, udst_roi, Size(), fx, fy, interpolation));

        Near(1.0);
    }
}

/////////////////////////////////////////////////////////////////////////////////////

OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpAffine, Combine(
                            Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
                            Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC),
                            Bool(),
                            Bool()));

OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpPerspective, Combine(
                            Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
                            Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC),
                            Bool(),
                            Bool()));

OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Resize, Combine(
                            Values(CV_8UC1, CV_8UC4, CV_16UC2, CV_32FC1, CV_32FC4),
                            Values(0.5, 1.5, 2.0),
                            Values(0.5, 1.5, 2.0),
                            Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR),
                            Bool()));

OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarpResizeArea, Resize, Combine(
                            Values((MatType)CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
                            Values(0.7, 0.4, 0.5),
                            Values(0.3, 0.6, 0.5),
                            Values((Interpolation)INTER_AREA),
                            Bool()));

} } // namespace cvtest::ocl

#endif // HAVE_OPENCL