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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009-2010, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Matthias Bady aegirxx ==> gmail.com
//
// 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 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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// 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,
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// (including, but not limited to, procurement of substitute goods or services;
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//M*/
#include "test_precomp.hpp"
using namespace std;
using namespace cv;
using namespace ocl;
#ifdef HAVE_OPENCL
namespace
{
IMPLEMENT_PARAM_CLASS( BRIEF_Bytes, int )
}
PARAM_TEST_CASE( BRIEF, BRIEF_Bytes )
{
int bytes;
virtual void SetUp( )
{
bytes = GET_PARAM( 0 );
}
};
OCL_TEST_P( BRIEF, Accuracy )
{
Mat img = readImage( "gpu/opticalflow/rubberwhale1.png", IMREAD_GRAYSCALE );
ASSERT_TRUE( !img.empty( ) ) << "no input image";
FastFeatureDetector fast( 20 );
std::vector<KeyPoint> keypoints;
fast.detect( img, keypoints, Mat( ) );
Mat descriptorsGold;
BriefDescriptorExtractor brief( bytes );
brief.compute( img, keypoints, descriptorsGold );
Mat kpMat( 2, int( keypoints.size() ), CV_32FC1 );
for ( int i = 0, size = (int)keypoints.size( ); i < size; ++i )
{
kpMat.col( i ).row( 0 ) = int( keypoints[i].pt.x );
kpMat.col( i ).row( 1 ) = int( keypoints[i].pt.y );
}
oclMat imgOcl( img ), keypointsOcl( kpMat ), descriptorsOcl, maskOcl;
BRIEF_OCL briefOcl( bytes );
briefOcl.compute( imgOcl, keypointsOcl, maskOcl, descriptorsOcl );
Mat mask, descriptors;
maskOcl.download( mask );
descriptorsOcl.download( descriptors );
const int numDesc = cv::countNonZero( mask );
if ( numDesc != descriptors.cols )
{
int idx = 0;
Mat tmp( numDesc, bytes, CV_8UC1 );
for ( int i = 0; i < descriptors.rows; ++i )
{
if ( mask.at<uchar>(i) )
{
descriptors.row( i ).copyTo( tmp.row( idx++ ) );
}
}
descriptors = tmp;
}
ASSERT_TRUE( descriptors.size( ) == descriptorsGold.size( ) ) << "Different number of descriptors";
ASSERT_TRUE( 0 == norm( descriptors, descriptorsGold, NORM_HAMMING ) ) << "Descriptors different";
}
INSTANTIATE_TEST_CASE_P( OCL_Features2D, BRIEF, testing::Values( 16, 32, 64 ) );
#endif