mirror of
https://github.com/opencv/opencv.git
synced 2025-01-07 19:54:18 +08:00
b8bce55270
- fixed uninitialized memory access and memory leaks - extracted several code blocks to separate functions - updated part of algorithm to use cv::Mat instead of CvMat and IplImage
124 lines
4.6 KiB
C++
124 lines
4.6 KiB
C++
/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., 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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//M*/
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#ifndef __OPENCV_PRECOMP_H__
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#define __OPENCV_PRECOMP_H__
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#include "opencv2/calib3d.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/features2d.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/core/private.hpp"
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#include "opencv2/core/ocl.hpp"
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#ifdef HAVE_TEGRA_OPTIMIZATION
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#include "opencv2/calib3d/calib3d_tegra.hpp"
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#else
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#define GET_OPTIMIZED(func) (func)
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#endif
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namespace cv
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{
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int RANSACUpdateNumIters( double p, double ep, int modelPoints, int maxIters );
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class CV_EXPORTS LMSolver : public Algorithm
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{
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public:
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class CV_EXPORTS Callback
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{
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public:
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virtual ~Callback() {}
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virtual bool compute(InputArray param, OutputArray err, OutputArray J) const = 0;
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};
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virtual void setCallback(const Ptr<LMSolver::Callback>& cb) = 0;
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virtual int run(InputOutputArray _param0) const = 0;
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};
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CV_EXPORTS Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters);
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class CV_EXPORTS PointSetRegistrator : public Algorithm
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{
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public:
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class CV_EXPORTS Callback
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{
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public:
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virtual ~Callback() {}
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virtual int runKernel(InputArray m1, InputArray m2, OutputArray model) const = 0;
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virtual void computeError(InputArray m1, InputArray m2, InputArray model, OutputArray err) const = 0;
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virtual bool checkSubset(InputArray, InputArray, int) const { return true; }
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};
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virtual void setCallback(const Ptr<PointSetRegistrator::Callback>& cb) = 0;
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virtual bool run(InputArray m1, InputArray m2, OutputArray model, OutputArray mask) const = 0;
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};
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CV_EXPORTS Ptr<PointSetRegistrator> createRANSACPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb,
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int modelPoints, double threshold,
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double confidence=0.99, int maxIters=1000 );
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CV_EXPORTS Ptr<PointSetRegistrator> createLMeDSPointSetRegistrator(const Ptr<PointSetRegistrator::Callback>& cb,
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int modelPoints, double confidence=0.99, int maxIters=1000 );
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template<typename T> inline int compressElems( T* ptr, const uchar* mask, int mstep, int count )
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{
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int i, j;
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for( i = j = 0; i < count; i++ )
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if( mask[i*mstep] )
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{
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if( i > j )
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ptr[j] = ptr[i];
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j++;
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}
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return j;
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}
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}
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int checkChessboard(const cv::Mat & img, const cv::Size & size);
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int checkChessboardBinary(const cv::Mat & img, const cv::Size & size);
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#endif
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