opencv/modules/stitching/test/test_blenders.cuda.cpp

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

#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)

using namespace cv;
using namespace std;

namespace
{
    void multiBandBlend(const cv::Mat& im1, const cv::Mat& im2, const cv::Mat& mask1, const cv::Mat& mask2, cv::Mat& result, bool try_cuda)
    {
        detail::MultiBandBlender blender(try_cuda, 5);

        blender.prepare(Rect(0, 0, max(im1.cols, im2.cols), max(im1.rows, im2.rows)));
        blender.feed(im1, mask1, Point(0,0));
        blender.feed(im2, mask2, Point(0,0));

        Mat result_s, result_mask;
        blender.blend(result_s, result_mask);
        result_s.convertTo(result, CV_8U);
    }
}

TEST(CUDA_MultiBandBlender, Accuracy)
{
    Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.png");
    Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");
    ASSERT_EQ(image1.rows, image2.rows); ASSERT_EQ(image1.cols, image2.cols);

    Mat image1s, image2s;
    image1.convertTo(image1s, CV_16S);
    image2.convertTo(image2s, CV_16S);

    Mat mask1(image1s.size(), CV_8U);
    mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);
    mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);

    Mat mask2(image2s.size(), CV_8U);
    mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);
    mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);

    cv::Mat result;
    multiBandBlend(image1s, image2s, mask1, mask2, result, false);

    cv::Mat result_cuda;
    multiBandBlend(image1s, image2s, mask1, mask2, result_cuda, true);

    EXPECT_MAT_NEAR(result, result_cuda, 3);
}

#endif