187 lines
6.2 KiB
C++
187 lines
6.2 KiB
C++
/*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/core/core_c.h"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
const string FEATURES2D_DIR = "features2d";
|
|
const string IMAGE_FILENAME = "tsukuba.png";
|
|
|
|
/****************************************************************************************\
|
|
* Test for KeyPoint *
|
|
\****************************************************************************************/
|
|
|
|
class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
|
|
{
|
|
public:
|
|
CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
|
|
detector(_detector) {}
|
|
|
|
protected:
|
|
virtual void run(int)
|
|
{
|
|
CV_Assert(detector);
|
|
string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
|
|
|
|
// Read the test image.
|
|
Mat image = imread(imgFilename);
|
|
if(image.empty())
|
|
{
|
|
ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
|
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
|
|
return;
|
|
}
|
|
|
|
vector<KeyPoint> keypoints;
|
|
detector->detect(image, keypoints);
|
|
|
|
if(keypoints.empty())
|
|
{
|
|
ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
|
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
|
|
return;
|
|
}
|
|
|
|
Rect r(0, 0, image.cols, image.rows);
|
|
for(size_t i = 0; i < keypoints.size(); i++)
|
|
{
|
|
const KeyPoint& kp = keypoints[i];
|
|
|
|
if(!r.contains(kp.pt))
|
|
{
|
|
ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
|
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
|
|
return;
|
|
}
|
|
|
|
if(kp.size <= 0.f)
|
|
{
|
|
ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
|
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
|
|
return;
|
|
}
|
|
|
|
if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
|
|
{
|
|
ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
|
|
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
|
|
return;
|
|
}
|
|
}
|
|
ts->set_failed_test_info(cvtest::TS::OK);
|
|
}
|
|
|
|
Ptr<FeatureDetector> detector;
|
|
};
|
|
|
|
|
|
// Registration of tests
|
|
|
|
TEST(Features2d_Detector_Keypoints_BRISK, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(BRISK::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_FAST, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_AGAST, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(AgastFeatureDetector::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_HARRIS, validation)
|
|
{
|
|
|
|
CV_FeatureDetectorKeypointsTest test(GFTTDetector::create(1000, 0.01, 1, 3, 3, true, 0.04));
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_GFTT, validation)
|
|
{
|
|
Ptr<GFTTDetector> gftt = GFTTDetector::create();
|
|
gftt->setHarrisDetector(true);
|
|
CV_FeatureDetectorKeypointsTest test(gftt);
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_MSER, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(MSER::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_ORB, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(ORB::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_KAZE, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(KAZE::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_AKAZE, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test_kaze(AKAZE::create(AKAZE::DESCRIPTOR_KAZE));
|
|
test_kaze.safe_run();
|
|
|
|
CV_FeatureDetectorKeypointsTest test_mldb(AKAZE::create(AKAZE::DESCRIPTOR_MLDB));
|
|
test_mldb.safe_run();
|
|
}
|
|
|
|
TEST(Features2d_Detector_Keypoints_SIFT, validation)
|
|
{
|
|
CV_FeatureDetectorKeypointsTest test(SIFT::create());
|
|
test.safe_run();
|
|
}
|
|
|
|
|
|
}} // namespace
|