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#include "test_precomp.hpp"
#include "opencv2/opencv_modules.hpp"

namespace opencv_test { namespace {

#ifdef HAVE_OPENCV_XFEATURES2D

TEST(SurfFeaturesFinder, CanFindInROIs)
{
    Ptr<Feature2D> finder = xfeatures2d::SURF::create();
    Mat img  = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.png");

    vector<Rect> rois;
    rois.push_back(Rect(0, 0, img.cols / 2, img.rows / 2));
    rois.push_back(Rect(img.cols / 2, img.rows / 2, img.cols - img.cols / 2, img.rows - img.rows / 2));

    // construct mask
    Mat mask = Mat::zeros(img.size(), CV_8U);
    for (const Rect &roi : rois)
    {
        Mat(mask, roi) = 1;
    }

    detail::ImageFeatures roi_features;
    detail::computeImageFeatures(finder, img, roi_features, mask);

    int tl_rect_count = 0, br_rect_count = 0, bad_count = 0;
    for (const auto &keypoint : roi_features.keypoints)
    {
        if (rois[0].contains(keypoint.pt))
            tl_rect_count++;
        else if (rois[1].contains(keypoint.pt))
            br_rect_count++;
        else
            bad_count++;
    }

    EXPECT_GT(tl_rect_count, 0);
    EXPECT_GT(br_rect_count, 0);
    EXPECT_EQ(bad_count, 0);
}

#endif // HAVE_OPENCV_XFEATURES2D

TEST(ParallelFeaturesFinder, IsSameWithSerial)
{
    Ptr<Feature2D> para_finder = ORB::create();
    Ptr<Feature2D> serial_finder = ORB::create();
    Mat img  = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/a3.png", IMREAD_GRAYSCALE);

    vector<Mat> imgs(50, img);
    detail::ImageFeatures serial_features;
    vector<detail::ImageFeatures> para_features(imgs.size());

    detail::computeImageFeatures(serial_finder, img, serial_features);
    detail::computeImageFeatures(para_finder, imgs, para_features);

    // results must be the same
    for(size_t i = 0; i < para_features.size(); ++i)
    {
        Mat diff_descriptors = serial_features.descriptors.getMat(ACCESS_READ) != para_features[i].descriptors.getMat(ACCESS_READ);
        EXPECT_EQ(countNonZero(diff_descriptors), 0);
        EXPECT_EQ(serial_features.img_size, para_features[i].img_size);
        EXPECT_EQ(serial_features.keypoints.size(), para_features[i].keypoints.size());
    }
}

}} // namespace