// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html

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

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

#define TEST_IMAGES testing::Values(\
    "detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
    "../stitching/a3.png", \
    "../stitching/s2.jpg")

PARAM_TEST_CASE(Feature2DFixture, Ptr<Feature2D>, std::string)
{
    std::string filename;
    Mat image, descriptors;
    vector<KeyPoint> keypoints;
    UMat uimage, udescriptors;
    vector<KeyPoint> ukeypoints;
    Ptr<Feature2D> feature;

    virtual void SetUp()
    {
        feature = GET_PARAM(0);
        filename = GET_PARAM(1);

        image = readImage(filename);

        ASSERT_FALSE(image.empty());

        image.copyTo(uimage);

        OCL_OFF(feature->detect(image, keypoints));
        OCL_ON(feature->detect(uimage, ukeypoints));
        // note: we use keypoints from CPU for GPU too, to test descriptors separately
        OCL_OFF(feature->compute(image, keypoints, descriptors));
        OCL_ON(feature->compute(uimage, keypoints, udescriptors));
    }
};

OCL_TEST_P(Feature2DFixture, KeypointsSame)
{
    EXPECT_EQ(keypoints.size(), ukeypoints.size());

    for (size_t i = 0; i < keypoints.size(); ++i)
    {
        EXPECT_GE(KeyPoint::overlap(keypoints[i], ukeypoints[i]), 0.95);
        EXPECT_NEAR(keypoints[i].angle, ukeypoints[i].angle, 0.001);
    }
}

OCL_TEST_P(Feature2DFixture, DescriptorsSame)
{
    EXPECT_MAT_NEAR(descriptors, udescriptors, 0.001);
}

OCL_INSTANTIATE_TEST_CASE_P(AKAZE, Feature2DFixture,
    testing::Combine(testing::Values(AKAZE::create()), TEST_IMAGES));

OCL_INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, Feature2DFixture,
    testing::Combine(testing::Values(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)), TEST_IMAGES));

}//ocl
}//cvtest

#endif //HAVE_OPENCL