OpenCV with the refactored features2d compiles! contrib is broken for now; the tests are not tried yet
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108
modules/features2d/src/gftt.cpp
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108
modules/features2d/src/gftt.cpp
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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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// 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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// * 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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// * Redistribution's in binary form must reproduce the above copyright notice,
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// * The name of Intel Corporation may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors "as is" and
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//M*/
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#include "precomp.hpp"
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namespace cv
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{
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class GFTTDetector_Impl : public GFTTDetector
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{
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public:
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GFTTDetector_Impl( int _nfeatures, double _qualityLevel,
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double _minDistance, int _blockSize,
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bool _useHarrisDetector, double _k )
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: nfeatures(_nfeatures), qualityLevel(_qualityLevel), minDistance(_minDistance),
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blockSize(_blockSize), useHarrisDetector(_useHarrisDetector), k(_k)
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{
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}
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void detect( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask )
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{
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std::vector<Point2f> corners;
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if (_image.isUMat())
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{
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UMat ugrayImage;
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if( _image.type() != CV_8U )
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cvtColor( _image, ugrayImage, COLOR_BGR2GRAY );
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else
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ugrayImage = _image.getUMat();
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goodFeaturesToTrack( ugrayImage, corners, nfeatures, qualityLevel, minDistance, _mask,
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blockSize, useHarrisDetector, k );
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}
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else
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{
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Mat image = _image.getMat(), grayImage = image;
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if( image.type() != CV_8U )
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cvtColor( image, grayImage, COLOR_BGR2GRAY );
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goodFeaturesToTrack( grayImage, corners, nfeatures, qualityLevel, minDistance, _mask,
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blockSize, useHarrisDetector, k );
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}
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keypoints.resize(corners.size());
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std::vector<Point2f>::const_iterator corner_it = corners.begin();
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std::vector<KeyPoint>::iterator keypoint_it = keypoints.begin();
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for( ; corner_it != corners.end(); ++corner_it, ++keypoint_it )
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*keypoint_it = KeyPoint( *corner_it, (float)blockSize );
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}
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int nfeatures;
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double qualityLevel;
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double minDistance;
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int blockSize;
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bool useHarrisDetector;
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double k;
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};
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Ptr<GFTTDetector> GFTTDetector::create( int _nfeatures, double _qualityLevel,
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double _minDistance, int _blockSize,
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bool _useHarrisDetector, double _k )
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{
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return makePtr<GFTTDetector_Impl>(_nfeatures, _qualityLevel,
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_minDistance, _blockSize, _useHarrisDetector, _k);
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}
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}
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