vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

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set(the_description "Plot function for Mat data.")
ocv_define_module(plot opencv_core opencv_imgproc WRAP python java objc)
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Plot Module
===========
Created by Nuno Moutinho
This Plot module allows you to easily plot data in 1D or 2D. You can change the size of the window, the limits of the axis and the colors of each element. You can also show in real time the plot you are building or save the plot as an image (png).
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Plot - Module to Plot Data
==========================
.. highlight:: cpp
This Plot module allows you to easily plot data in 1D or 2D. You can change the size of the window, the limits of the axis and the colors of each element.
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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) 2009-2012, 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 <opencv2/core.hpp>
/**
@defgroup plot Plot function for Mat data
*/
namespace cv
{
namespace plot
{
//! @addtogroup plot
//! @{
class CV_EXPORTS_W Plot2d : public Algorithm
{
public:
CV_WRAP virtual void setMinX(double _plotMinX) = 0;
CV_WRAP virtual void setMinY(double _plotMinY) = 0;
CV_WRAP virtual void setMaxX(double _plotMaxX) = 0;
CV_WRAP virtual void setMaxY(double _plotMaxY) = 0;
CV_WRAP virtual void setPlotLineWidth(int _plotLineWidth) = 0;
/**
* @brief Switches data visualization mode
*
* @param _needPlotLine if true then neighbour plot points will be connected by lines.
* In other case data will be plotted as a set of standalone points.
*/
CV_WRAP virtual void setNeedPlotLine(bool _needPlotLine) = 0;
CV_WRAP virtual void setPlotLineColor(Scalar _plotLineColor) = 0;
CV_WRAP virtual void setPlotBackgroundColor(Scalar _plotBackgroundColor) = 0;
CV_WRAP virtual void setPlotAxisColor(Scalar _plotAxisColor) = 0;
CV_WRAP virtual void setPlotGridColor(Scalar _plotGridColor) = 0;
CV_WRAP virtual void setPlotTextColor(Scalar _plotTextColor) = 0;
CV_WRAP virtual void setPlotSize(int _plotSizeWidth, int _plotSizeHeight) = 0;
CV_WRAP virtual void setShowGrid(bool needShowGrid) = 0;
CV_WRAP virtual void setShowText(bool needShowText) = 0;
CV_WRAP virtual void setGridLinesNumber(int gridLinesNumber) = 0;
CV_WRAP virtual void setInvertOrientation(bool _invertOrientation) = 0;
/**
* @brief Sets the index of a point which coordinates will be printed on the top left corner of the plot (if ShowText flag is true).
*
* @param pointIdx index of the required point in data array.
*/
CV_WRAP virtual void setPointIdxToPrint(int pointIdx) = 0;
CV_WRAP virtual void render(OutputArray _plotResult) = 0;
/**
* @brief Creates Plot2d object
*
* @param data \f$1xN\f$ or \f$Nx1\f$ matrix containing \f$Y\f$ values of points to plot. \f$X\f$ values
* will be equal to indexes of correspondind elements in data matrix.
*/
CV_WRAP static Ptr<Plot2d> create(InputArray data);
/**
* @brief Creates Plot2d object
*
* @param dataX \f$1xN\f$ or \f$Nx1\f$ matrix \f$X\f$ values of points to plot.
* @param dataY \f$1xN\f$ or \f$Nx1\f$ matrix containing \f$Y\f$ values of points to plot.
*/
CV_WRAP static Ptr<Plot2d> create(InputArray dataX, InputArray dataY);
};
//! @}
}
}
#endif
#endif
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{
"AdditionalImports" : {
"*" : [ "\"plot.hpp\"" ]
}
}
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#include <opencv2/highgui.hpp>
#include <opencv2/plot.hpp>
#include <iostream>
using namespace cv;
int main()
{
Mat data_x( 1, 51, CV_64F );
Mat data_y( 1, 51, CV_64F );
for ( int i = 0; i < data_x.cols; i++ )
{
double x = ( i - data_x.cols / 2 );
data_x.at<double>( 0, i ) = x;
data_y.at<double>( 0, i ) = x * x * x;
}
std::cout << "data_x : " << data_x << std::endl;
std::cout << "data_y : " << data_y << std::endl;
Mat plot_result;
Ptr<plot::Plot2d> plot = plot::Plot2d::create( data_x, data_y );
plot->render(plot_result);
imshow( "The plot rendered with default visualization options", plot_result );
plot->setShowText( false );
plot->setShowGrid( false );
plot->setPlotBackgroundColor( Scalar( 255, 200, 200 ) );
plot->setPlotLineColor( Scalar( 255, 0, 0 ) );
plot->setPlotLineWidth( 2 );
plot->setInvertOrientation( true );
plot->render( plot_result );
imshow( "The plot rendered with some of custom visualization options", plot_result );
waitKey();
return 0;
}
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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, 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
//
//################################################################################
#include "precomp.hpp"
namespace cv
{
namespace plot
{
using namespace std;
class Plot2dImpl CV_FINAL : public Plot2d
{
public:
Plot2dImpl(InputArray plotData)
{
Mat _plotData = plotData.getMat();
//if the matrix is not Nx1 or 1xN
if(_plotData.cols > 1 && _plotData.rows > 1)
CV_Error(Error::StsBadArg, "ERROR: Plot data must be a 1xN or Nx1 matrix.\n");
CV_Assert(_plotData.type() == CV_64F);
//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<plotDataY.rows; i++)
{
plotDataX.at<double>(i,0) = i;
}
//calling the main constructor
plotHelper(plotDataX, plotDataY);
}
Plot2dImpl(InputArray plotDataX_, InputArray plotDataY_)
{
Mat _plotDataX = plotDataX_.getMat();
Mat _plotDataY = plotDataY_.getMat();
//f the matrix is not Nx1 or 1xN
if((_plotDataX.cols > 1 && _plotDataX.rows > 1) || (_plotDataY.cols > 1 && _plotDataY.rows > 1))
CV_Error(Error::StsBadArg, "ERROR: Plot data must be a 1xN or Nx1 matrix.\n");
CV_Assert(_plotDataX.type() == CV_64F && _plotDataY.type() == CV_64F);
//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) CV_OVERRIDE
{
plotMinX = _plotMinX;
plotMinX_plusZero = _plotMinX;
}
void setMaxX(double _plotMaxX) CV_OVERRIDE
{
plotMaxX = _plotMaxX;
plotMaxX_plusZero = _plotMaxX;
}
void setMinY(double _plotMinY) CV_OVERRIDE
{
plotMinY = _plotMinY;
plotMinY_plusZero = _plotMinY;
}
void setMaxY(double _plotMaxY) CV_OVERRIDE
{
plotMaxY = _plotMaxY;
plotMaxY_plusZero = _plotMaxY;
}
void setPlotLineWidth(int _plotLineWidth) CV_OVERRIDE
{
plotLineWidth = _plotLineWidth;
}
void setInvertOrientation(bool _invertOrientation) CV_OVERRIDE
{
invertOrientation = _invertOrientation;
}
void setNeedPlotLine(bool _needPlotLine) CV_OVERRIDE
{
needPlotLine = _needPlotLine;
}
void setPlotLineColor(Scalar _plotLineColor) CV_OVERRIDE
{
plotLineColor=_plotLineColor;
}
void setPlotBackgroundColor(Scalar _plotBackgroundColor) CV_OVERRIDE
{
plotBackgroundColor=_plotBackgroundColor;
}
void setPlotAxisColor(Scalar _plotAxisColor) CV_OVERRIDE
{
plotAxisColor=_plotAxisColor;
}
void setPlotGridColor(Scalar _plotGridColor) CV_OVERRIDE
{
plotGridColor=_plotGridColor;
}
void setPlotTextColor(Scalar _plotTextColor) CV_OVERRIDE
{
plotTextColor=_plotTextColor;
}
void setPlotSize(int _plotSizeWidth, int _plotSizeHeight) CV_OVERRIDE
{
if(_plotSizeWidth > 400)
plotSizeWidth = _plotSizeWidth;
else
plotSizeWidth = 400;
if(_plotSizeHeight > 300)
plotSizeHeight = _plotSizeHeight;
else
plotSizeHeight = 300;
}
void setShowGrid(bool _needShowGrid) CV_OVERRIDE
{
needShowGrid = _needShowGrid;
}
void setShowText(bool _needShowText) CV_OVERRIDE
{
needShowText = _needShowText;
}
void setGridLinesNumber(int _gridLinesNumber) CV_OVERRIDE
{
if(_gridLinesNumber <= 0)
_gridLinesNumber = 1;
gridLinesNumber = _gridLinesNumber;
}
void setPointIdxToPrint(int _cursorPos) CV_OVERRIDE
{
if(_cursorPos >= plotDataX.rows || _cursorPos < 0)
_cursorPos = plotDataX.rows - 1;
cursorPos = _cursorPos;
}
//render the plotResult to a Mat
void render(OutputArray _plotResult) CV_OVERRIDE
{
//create the plot result
_plotResult.create(plotSizeHeight, plotSizeWidth, CV_8UC3);
plotResult = _plotResult.getMat();
plotResult.setTo(plotBackgroundColor);
int NumVecElements = plotDataX.rows;
Mat InterpXdata = linearInterpolation(plotMinX, plotMaxX, 0, plotSizeWidth, plotDataX);
Mat InterpYdata = invertOrientation ?
linearInterpolation(plotMaxY, plotMinY, 0, plotSizeHeight, plotDataY) :
linearInterpolation(plotMinY, plotMaxY, 0, plotSizeHeight, plotDataY);
//Find the zeros in image coordinates
Mat InterpXdataFindZero = linearInterpolation(plotMinX_plusZero, plotMaxX_plusZero, 0, plotSizeWidth, plotDataX_plusZero);
Mat InterpYdataFindZero = invertOrientation ?
linearInterpolation(plotMaxY_plusZero, plotMinY_plusZero, 0, plotSizeHeight, plotDataY_plusZero) :
linearInterpolation(plotMinY_plusZero, plotMaxY_plusZero, 0, plotSizeHeight, plotDataY_plusZero);
int ImageXzero = (int)InterpXdataFindZero.at<double>(NumVecElements,0);
int ImageYzero = (int)InterpYdataFindZero.at<double>(NumVecElements,0);
double CurrentX = plotDataX.at<double>(cursorPos,0);
double CurrentY = plotDataY.at<double>(cursorPos,0);
drawAxis(ImageXzero,ImageYzero, CurrentX, CurrentY, plotAxisColor, plotGridColor);
if(needPlotLine)
{
//Draw the plot by connecting lines between the points
Point p1;
p1.x = (int)InterpXdata.at<double>(0,0);
p1.y = (int)InterpYdata.at<double>(0,0);
for (int r=1; r<InterpXdata.rows; r++)
{
Point p2;
p2.x = (int)InterpXdata.at<double>(r,0);
p2.y = (int)InterpYdata.at<double>(r,0);
line(plotResult, p1, p2, plotLineColor, plotLineWidth, 8, 0);
p1 = p2;
}
}
else
{
for (int r=0; r<InterpXdata.rows; r++)
{
Point p;
p.x = (int)InterpXdata.at<double>(r,0);
p.y = (int)InterpYdata.at<double>(r,0);
circle(plotResult, p, 1, plotLineColor, plotLineWidth, 8, 0);
}
}
}
protected:
Mat plotDataX;
Mat plotDataY;
Mat plotDataX_plusZero;
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;
bool invertOrientation;
bool needShowGrid;
bool needShowText;
int gridLinesNumber;
int cursorPos;
//colors of each plot element
Scalar plotLineColor;
Scalar plotBackgroundColor;
Scalar plotAxisColor;
Scalar plotGridColor;
Scalar plotTextColor;
//the final plot result
Mat plotResult;
//flag which enables/disables connection of plotted points by lines
bool needPlotLine;
void plotHelper(Mat _plotDataX, Mat _plotDataY)
{
plotDataX=_plotDataX;
plotDataY=_plotDataY;
int NumVecElements = plotDataX.rows;
plotDataX_plusZero = Mat::zeros(NumVecElements+1,1,CV_64F);
plotDataY_plusZero = Mat::zeros(NumVecElements+1,1,CV_64F);
for(int i=0; i<NumVecElements; i++){
plotDataX_plusZero.at<double>(i,0) = plotDataX.at<double>(i,0);
plotDataY_plusZero.at<double>(i,0) = plotDataY.at<double>(i,0);
}
double MinX;
double MaxX;
double MinY;
double MaxY;
double MinX_plusZero;
double MaxX_plusZero;
double MinY_plusZero;
double MaxY_plusZero;
needPlotLine = true;
invertOrientation = false;
//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(Scalar(0, 0, 255));
setPlotGridColor(Scalar(255, 255, 255));
setPlotBackgroundColor(Scalar(0, 0, 0));
setPlotLineColor(Scalar(0, 255, 255));
setPlotTextColor(Scalar(255, 255, 255));
setShowGrid(true);
setShowText(true);
setGridLinesNumber(10);
setPointIdxToPrint(-1);
}
void drawAxis(int ImageXzero, int ImageYzero, double CurrentX, double CurrentY, Scalar axisColor, Scalar gridColor)
{
if(needShowText)
{
drawValuesAsText(0, ImageXzero, ImageYzero, 10, 20);
drawValuesAsText(0, ImageXzero, ImageYzero, -20, 20);
drawValuesAsText(0, ImageXzero, ImageYzero, 10, -10);
drawValuesAsText(0, ImageXzero, ImageYzero, -20, -10);
drawValuesAsText((format("X_%d = ", cursorPos) + "%g").c_str(), CurrentX, 0, 0, 40, 20);
drawValuesAsText((format("Y_%d = ", cursorPos) + "%g").c_str(), CurrentY, 0, 20, 40, 20);
}
//Horizontal X axis and equispaced horizontal lines
int LineSpace = cvRound(plotSizeHeight / (float)gridLinesNumber);
int TraceSize = 5;
drawLine(0, plotSizeWidth, ImageYzero, ImageYzero, axisColor);
if(needShowGrid)
for(int i=-plotSizeHeight; i<plotSizeHeight; i=i+LineSpace){
if(i!=0){
int Trace=0;
while(Trace<plotSizeWidth){
drawLine(Trace, Trace+TraceSize, ImageYzero+i, ImageYzero+i, gridColor);
Trace = Trace+2*TraceSize;
}
}
}
//Vertical Y axis
drawLine(ImageXzero, ImageXzero, 0, plotSizeHeight, axisColor);
LineSpace = cvRound(LineSpace * (float)plotSizeWidth / plotSizeHeight );
if(needShowGrid)
for(int i=-plotSizeWidth; i<plotSizeWidth; i=i+LineSpace){
if(i!=0){
int Trace=0;
while(Trace<plotSizeHeight){
drawLine(ImageXzero+i, ImageXzero+i, Trace, Trace+TraceSize, gridColor);
Trace = Trace+2*TraceSize;
}
}
}
}
Mat linearInterpolation(double Xa, double Xb, double Ya, double Yb, Mat Xdata){
Mat Ydata = Xdata*0;
for (int i=0; i<Xdata.rows; i++){
double X = Xdata.at<double>(i,0);
Ydata.at<double>(i,0) = int(Ya + (Yb-Ya)*(X-Xa)/(Xb-Xa));
if(Ydata.at<double>(i,0)<0)
Ydata.at<double>(i,0)=0;
}
return Ydata;
}
void drawValuesAsText(double Value, int Xloc, int Yloc, int XMargin, int YMargin){
char AxisX_Min_Text[20];
double TextSize = 1;
sprintf(AxisX_Min_Text, "%g", Value);
Point AxisX_Min_Loc;
AxisX_Min_Loc.x = Xloc+XMargin;
AxisX_Min_Loc.y = Yloc+YMargin;
putText(plotResult,AxisX_Min_Text, AxisX_Min_Loc, FONT_HERSHEY_COMPLEX_SMALL, TextSize, plotTextColor, 1, 8);
}
void drawValuesAsText(const char *Text, double Value, int Xloc, int Yloc, int XMargin, int YMargin){
char AxisX_Min_Text[20];
int TextSize = 1;
sprintf(AxisX_Min_Text, Text, Value);
Point AxisX_Min_Loc;
AxisX_Min_Loc.x = Xloc+XMargin;
AxisX_Min_Loc.y = Yloc+YMargin;
putText(plotResult,AxisX_Min_Text, AxisX_Min_Loc, FONT_HERSHEY_COMPLEX_SMALL, TextSize, plotTextColor, 1, 8);
}
void drawLine(int Xstart, int Xend, int Ystart, int Yend, Scalar lineColor){
Point Axis_start;
Point Axis_end;
Axis_start.x = Xstart;
Axis_start.y = Ystart;
Axis_end.x = Xend;
Axis_end.y = Yend;
line(plotResult, Axis_start, Axis_end, lineColor, plotLineWidth, 8, 0);
}
};
Ptr<Plot2d> Plot2d::create(InputArray _plotData)
{
return Ptr<Plot2dImpl> (new Plot2dImpl (_plotData));
}
Ptr<Plot2d> Plot2d::create(InputArray _plotDataX, InputArray _plotDataY)
{
return Ptr<Plot2dImpl> (new Plot2dImpl (_plotDataX, _plotDataY));
}
}
}
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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, 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_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include "opencv2/plot.hpp"
#include "opencv2/opencv_modules.hpp"
#include <iostream>
#include <stdio.h>
#include <vector>
#include <algorithm>
#endif