Open Source Computer Vision Library https://opencv.org/
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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.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2013, OpenCV Foundation, 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.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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// 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;
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// Authors:
// * Peter Andreas Entschev, peter@entschev.com
//
//M*/
#include "test_precomp.hpp"
#ifdef HAVE_OPENCL
////////////////////////////////////////////////////////
// FAST
namespace
{
IMPLEMENT_PARAM_CLASS(FAST_Threshold, int)
IMPLEMENT_PARAM_CLASS(FAST_NonmaxSupression, bool)
}
PARAM_TEST_CASE(FAST, FAST_Threshold, FAST_NonmaxSupression)
{
int threshold;
bool nonmaxSupression;
virtual void SetUp()
{
threshold = GET_PARAM(0);
nonmaxSupression = GET_PARAM(1);
}
};
OCL_TEST_P(FAST, Accuracy)
{
cv::Mat image = readImage("gpu/perf/aloe.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(image.empty());
cv::ocl::FAST_OCL fast(threshold);
fast.nonmaxSupression = nonmaxSupression;
cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);
std::vector<cv::KeyPoint> keypoints;
fast(ocl_image, cv::ocl::oclMat(), keypoints);
std::vector<cv::KeyPoint> keypoints_gold;
cv::FAST(image, keypoints_gold, threshold, nonmaxSupression);
ASSERT_KEYPOINTS_EQ(keypoints_gold, keypoints);
}
INSTANTIATE_TEST_CASE_P(OCL_Features2D, FAST, testing::Combine(
testing::Values(FAST_Threshold(25), FAST_Threshold(50)),
testing::Values(FAST_NonmaxSupression(false), FAST_NonmaxSupression(true))));
#endif