opencv/modules/imgproc/test/ocl/test_blend.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 {

PARAM_TEST_CASE(BlendLinear, MatDepth, Channels, bool)
{
    int depth, channels;
    bool useRoi;

    TEST_DECLARE_INPUT_PARAMETER(src1);
    TEST_DECLARE_INPUT_PARAMETER(src2);
    TEST_DECLARE_INPUT_PARAMETER(weights2);
    TEST_DECLARE_INPUT_PARAMETER(weights1);
    TEST_DECLARE_OUTPUT_PARAMETER(dst);

    virtual void SetUp()
    {
        depth = GET_PARAM(0);
        channels = GET_PARAM(1);
        useRoi = GET_PARAM(2);
    }

    void random_roi()
    {
        const int type = CV_MAKE_TYPE(depth, channels);
        const double upValue = 256;

        Size roiSize = randomSize(1, MAX_VALUE);
        Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src1, src1_roi, roiSize, src1Border, type, -upValue, upValue);

        Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src2, src2_roi, roiSize, src2Border, type, -upValue, upValue);

        Border weights1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(weights1, weights1_roi, roiSize, weights1Border, CV_32FC1, -upValue, upValue);

        Border weights2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(weights2, weights2_roi, roiSize, weights2Border, CV_32FC1, 1e-2, upValue);

        weights2_roi -= weights1_roi;
        CV_Assert(checkNorm2(weights2_roi, weights2(Rect(weights2Border.lef, weights2Border.top,
                                                        roiSize.width, roiSize.height))) < 1e-6);

        Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);

        UMAT_UPLOAD_INPUT_PARAMETER(src1);
        UMAT_UPLOAD_INPUT_PARAMETER(src2);
        UMAT_UPLOAD_INPUT_PARAMETER(weights1);
        UMAT_UPLOAD_INPUT_PARAMETER(weights2);
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
    }

    void Near(double eps = 0.0)
    {
        OCL_EXPECT_MATS_NEAR(dst, eps);
    }
};

OCL_TEST_P(BlendLinear, Accuracy)
{
    for (int i = 0; i < test_loop_times; ++i)
    {
        random_roi();

        OCL_OFF(cv::blendLinear(src1_roi, src2_roi, weights1_roi, weights2_roi, dst_roi));
        OCL_ON(cv::blendLinear(usrc1_roi, usrc2_roi, uweights1_roi, uweights2_roi, udst_roi));

        Near(depth <= CV_32S ? 1.0 : 0.5);
    }
}

OCL_INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, Combine(testing::Values(CV_8U, CV_32F), OCL_ALL_CHANNELS, Bool()));

} } // namespace cvtest::ocl

#endif