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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/opencv_modules.hpp"
namespace opencv_test { namespace {
#ifdef HAVE_OPENCV_XFEATURES2D
TEST(SurfFeaturesFinder, CanFindInROIs)
{
Ptr<detail::FeaturesFinder> finder = makePtr<detail::SurfFeaturesFinder>();
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));
detail::ImageFeatures roi_features;
(*finder)(img, roi_features, rois);
int tl_rect_count = 0, br_rect_count = 0, bad_count = 0;
for (size_t i = 0; i < roi_features.keypoints.size(); ++i)
{
Point2f pt = roi_features.keypoints[i].pt;
if (pt.x >= rois[0].x && pt.y >= rois[0].y && pt.x <= rois[0].br().x && pt.y <= rois[0].br().y)
tl_rect_count++;
else if (pt.x >= rois[1].x && pt.y >= rois[1].y && pt.x <= rois[1].br().x && pt.y <= rois[1].br().y)
br_rect_count++;
else
bad_count++;
}
ASSERT_GT(tl_rect_count, 0);
ASSERT_GT(br_rect_count, 0);
ASSERT_EQ(bad_count, 0);
}
#endif // HAVE_OPENCV_XFEATURES2D
TEST(ParallelFeaturesFinder, IsSameWithSerial)
{
Ptr<detail::FeaturesFinder> para_finder = makePtr<detail::OrbFeaturesFinder>();
Ptr<detail::FeaturesFinder> serial_finder = makePtr<detail::OrbFeaturesFinder>();
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());
(*serial_finder)(img, serial_features);
(*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);
ASSERT_EQ(countNonZero(diff_descriptors), 0);
ASSERT_EQ(serial_features.img_size, para_features[i].img_size);
ASSERT_EQ(serial_features.keypoints.size(), para_features[i].keypoints.size());
}
}
}} // namespace