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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include "opencv2/core/core_c.h"
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namespace opencv_test { namespace {
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const string FEATURES2D_DIR = "features2d";
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const string IMAGE_FILENAME = "tsukuba.png";
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/****************************************************************************************\
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* Test for KeyPoint *
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\****************************************************************************************/
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class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
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{
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public:
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CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
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detector(_detector) {}
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protected:
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virtual void run(int)
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{
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CV_Assert(detector);
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string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
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// Read the test image.
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Mat image = imread(imgFilename);
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if(image.empty())
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{
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ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
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return;
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}
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vector<KeyPoint> keypoints;
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detector->detect(image, keypoints);
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if(keypoints.empty())
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{
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ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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Rect r(0, 0, image.cols, image.rows);
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for(size_t i = 0; i < keypoints.size(); i++)
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{
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const KeyPoint& kp = keypoints[i];
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if(!r.contains(kp.pt))
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{
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ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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if(kp.size <= 0.f)
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{
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ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
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{
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ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
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ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
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return;
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}
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}
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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Ptr<FeatureDetector> detector;
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};
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// Registration of tests
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TEST(Features2d_Detector_Keypoints_BRISK, validation)
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{
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CV_FeatureDetectorKeypointsTest test(BRISK::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_FAST, validation)
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{
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CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_AGAST, validation)
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{
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CV_FeatureDetectorKeypointsTest test(AgastFeatureDetector::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_HARRIS, validation)
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{
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CV_FeatureDetectorKeypointsTest test(GFTTDetector::create(1000, 0.01, 1, 3, 3, true, 0.04));
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_GFTT, validation)
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{
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Ptr<GFTTDetector> gftt = GFTTDetector::create();
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gftt->setHarrisDetector(true);
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CV_FeatureDetectorKeypointsTest test(gftt);
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_MSER, validation)
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{
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CV_FeatureDetectorKeypointsTest test(MSER::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_ORB, validation)
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{
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CV_FeatureDetectorKeypointsTest test(ORB::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_KAZE, validation)
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{
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CV_FeatureDetectorKeypointsTest test(KAZE::create());
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test.safe_run();
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}
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TEST(Features2d_Detector_Keypoints_AKAZE, validation)
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{
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CV_FeatureDetectorKeypointsTest test_kaze(AKAZE::create(AKAZE::DESCRIPTOR_KAZE));
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test_kaze.safe_run();
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CV_FeatureDetectorKeypointsTest test_mldb(AKAZE::create(AKAZE::DESCRIPTOR_MLDB));
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test_mldb.safe_run();
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}
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}} // namespace
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