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Open Source Computer Vision Library
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94 lines
3.3 KiB
94 lines
3.3 KiB
11 years ago
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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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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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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// Authors:
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// * Peter Andreas Entschev, peter@entschev.com
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//
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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_OPENCL
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////////////////////////////////////////////////////////
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// FAST
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namespace
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{
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IMPLEMENT_PARAM_CLASS(FAST_Threshold, int)
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IMPLEMENT_PARAM_CLASS(FAST_NonmaxSupression, bool)
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}
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PARAM_TEST_CASE(FAST, FAST_Threshold, FAST_NonmaxSupression)
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{
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int threshold;
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bool nonmaxSupression;
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virtual void SetUp()
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{
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threshold = GET_PARAM(0);
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nonmaxSupression = GET_PARAM(1);
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}
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};
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OCL_TEST_P(FAST, Accuracy)
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{
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cv::Mat image = readImage("gpu/perf/aloe.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(image.empty());
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cv::ocl::FAST_OCL fast(threshold);
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fast.nonmaxSupression = nonmaxSupression;
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cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);
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std::vector<cv::KeyPoint> keypoints;
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fast(ocl_image, cv::ocl::oclMat(), keypoints);
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std::vector<cv::KeyPoint> keypoints_gold;
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cv::FAST(image, keypoints_gold, threshold, nonmaxSupression);
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ASSERT_KEYPOINTS_EQ(keypoints_gold, keypoints);
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}
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INSTANTIATE_TEST_CASE_P(OCL_Features2D, FAST, testing::Combine(
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testing::Values(FAST_Threshold(25), FAST_Threshold(50)),
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testing::Values(FAST_NonmaxSupression(false), FAST_NonmaxSupression(true))));
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#endif
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