/*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) 2009-2012, Willow Garage Inc., 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. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // 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; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ //################################################################################ // // Created by Nuno Moutinho // //################################################################################ #ifndef _OPENCV_PLOT_H_ #define _OPENCV_PLOT_H_ #ifdef __cplusplus #include #include #include #include #include #include ///This plot class allows you to easily plot data from a Mat or a vector. You can plot 1D or 2D plots, change the window size and the axis limits. It's simple yet very effective and usefull. namespace cv { class CV_EXPORTS Plot { protected: cv::Mat plotDataX; cv::Mat plotDataY; cv::Mat plotDataX_plusZero; cv::Mat plotDataY_plusZero; const char * plotName; ///dimensions and limits of the plot int plotSizeWidth; int plotSizeHeight; double plotMinX; double plotMaxX; double plotMinY; double plotMaxY; double plotMinX_plusZero; double plotMaxX_plusZero; double plotMinY_plusZero; double plotMaxY_plusZero; int plotLineWidth; ///colors of each plot element cv::Scalar plotLineColor; cv::Scalar plotBackgroundColor; cv::Scalar plotAxisColor; cv::Scalar plotGridColor; cv::Scalar plotTextColor; ///the final plot result cv::Mat plotResult; public: ///constructor accepting only Y data to be plotted Plot(cv::Mat _plotData) { //if the matrix is not Nx1 or 1xN if(_plotData.cols > 1 && _plotData.rows > 1) { std::cout << "ERROR: Plot data must be a 1xN or Nx1 matrix." << std::endl; exit(0); } //if the matrix type is not CV_64F if(_plotData.type() != CV_64F) { std::cout << "ERROR: Plot data type must be double (CV_64F)." << std::endl; exit(0); } //in case we have a row matrix than needs to be transposed if(_plotData.cols > _plotData.rows) { _plotData = _plotData.t(); } plotDataY=_plotData; plotDataX = plotDataY*0; for (int i=0; i(i,0) = i; } ///calling the main constructor plotHelper(plotDataX, plotDataY); } ///constructor accepting X data and Y data to be plotted Plot(cv::Mat _plotDataX, cv::Mat _plotDataY) { //f the matrix is not Nx1 or 1xN if(_plotDataX.cols > 1 && _plotDataX.rows > 1 || _plotDataY.cols > 1 && _plotDataY.rows > 1) { std::cout << "ERROR: Plot data must be a 1xN or Nx1 matrix." << std::endl; exit(0); } //if the matrix type is not CV_64F if(_plotDataX.type() != CV_64F || _plotDataY.type() != CV_64F) { std::cout << "ERROR: Plot data type must be double (CV_64F)." << std::endl; exit(0); } //in case we have a row matrix than needs to be transposed if(_plotDataX.cols > _plotDataX.rows) { _plotDataX = _plotDataX.t(); } if(_plotDataY.cols > _plotDataY.rows) { _plotDataY = _plotDataY.t(); } plotHelper(_plotDataX, _plotDataY); } ///set functions void setMinX(double _plotMinX) { plotMinX = _plotMinX; plotMinX_plusZero = _plotMinX; } void setMaxX(double _plotMaxX) { plotMaxX = _plotMaxX; plotMaxX_plusZero = _plotMaxX; } void setMinY(double _plotMinY) { plotMinY = _plotMinY; plotMinY_plusZero = _plotMinY; } void setMaxY(double _plotMaxY) { plotMaxY = _plotMaxY; plotMaxY_plusZero = _plotMaxY; } void setPlotLineWidth(int _plotLineWidth) { plotLineWidth=_plotLineWidth; } void setPlotLineColor(cv::Scalar _plotLineColor) { plotLineColor=_plotLineColor; } void setPlotBackgroundColor(cv::Scalar _plotBackgroundColor) { plotBackgroundColor=_plotBackgroundColor; } void setPlotAxisColor(cv::Scalar _plotAxisColor) { plotAxisColor=_plotAxisColor; } void setPlotGridColor(cv::Scalar _plotGridColor) { plotGridColor=_plotGridColor; } void setPlotTextColor(cv::Scalar _plotTextColor) { plotTextColor=_plotTextColor; } void setPlotSize(int _plotSizeWidth, int _plotSizeHeight) { if(_plotSizeWidth > 400) plotSizeWidth = _plotSizeWidth; else plotSizeWidth = 400; if(_plotSizeHeight > 300) plotSizeHeight = _plotSizeHeight; else plotSizeHeight = 300; } ///render the plotResult to a Mat void render(cv::Mat &_plotResult); ///show the plotResult from within the class void show(const char * _plotName); ///save the plotResult as a .png image void save(const char * _plotFileName); protected: ///a helper method to be used in the constructor void plotHelper(cv::Mat _plotDataX, cv::Mat _plotDataY) { plotDataX=_plotDataX; plotDataY=_plotDataY; int NumVecElements = plotDataX.rows; plotDataX_plusZero = cv::Mat::zeros(NumVecElements+1,1,CV_64F); plotDataY_plusZero = cv::Mat::zeros(NumVecElements+1,1,CV_64F); for(int i=0; i(i,0) = plotDataX.at(i,0); plotDataY_plusZero.at(i,0) = plotDataY.at(i,0); } double MinX; double MaxX; double MinY; double MaxY; double MinX_plusZero; double MaxX_plusZero; double MinY_plusZero; double MaxY_plusZero; ///Obtain the minimum and maximum values of Xdata minMaxLoc(plotDataX,&MinX,&MaxX); ///Obtain the minimum and maximum values of Ydata minMaxLoc(plotDataY,&MinY,&MaxY); ///Obtain the minimum and maximum values of Xdata plus zero minMaxLoc(plotDataX_plusZero,&MinX_plusZero,&MaxX_plusZero); ///Obtain the minimum and maximum values of Ydata plus zero minMaxLoc(plotDataY_plusZero,&MinY_plusZero,&MaxY_plusZero); ///setting the min and max values for each axis plotMinX = MinX; plotMaxX = MaxX; plotMinY = MinY; plotMaxY = MaxY; plotMinX_plusZero = MinX_plusZero; plotMaxX_plusZero = MaxX_plusZero; plotMinY_plusZero = MinY_plusZero; plotMaxY_plusZero = MaxY_plusZero; ///setting the default size of a plot figure setPlotSize(600, 400); ///setting the default plot line size setPlotLineWidth(1); ///setting default colors for the different elements of the plot setPlotAxisColor(cv::Scalar(0, 0, 255)); setPlotGridColor(cv::Scalar(255, 255, 255)); setPlotBackgroundColor(cv::Scalar(0, 0, 0)); setPlotLineColor(cv::Scalar(0, 255, 255)); setPlotTextColor(cv::Scalar(255, 255, 255)); } cv::Mat linearInterpolation(double Xa, double Xb, double Ya, double Yb, cv::Mat Xdata); void drawAxis(int ImageXzero, int ImageYzero, double CurrentX, double CurrentY, cv::Scalar axisColor, cv::Scalar gridColor); void drawValuesAsText(double Value, int Xloc, int Yloc, int XMargin, int YMargin); void drawValuesAsText(const char * Text, double Value, int Xloc, int Yloc, int XMargin, int YMargin); void drawLine(int Xstart, int Xend, int Ystart, int Yend, cv::Scalar lineColor); }; } #endif #endif