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/** \example rgbimageplot_opencv.cpp
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* JKQTPlotter : Examples : Simple RGB image plot , showing a 3 - channel OpenCV cv : : Mat
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*
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* \ ref JKQTPlotterImagePlotRGBOpenCV
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*/
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# include <QApplication>
# include <cmath>
# include "jkqtplotter/jkqtplotter.h"
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# include "jkqtplotter/graphs/jkqtpscatter.h"
# include "jkqtplotter/graphs/jkqtpimagergb.h"
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# include "jkqtplotter/jkqtpopencvinterface.h"
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# include <opencv2/opencv.hpp>
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# include <opencv2/imgcodecs.hpp>
int main ( int argc , char * argv [ ] )
{
QApplication app ( argc , argv ) ;
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JKQTPlotter plot ;
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// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
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plot . getPlotter ( ) - > setUseAntiAliasingForGraphs ( true ) ; // nicer (but slower) plotting
plot . getPlotter ( ) - > setUseAntiAliasingForSystem ( true ) ; // nicer (but slower) plotting
plot . getPlotter ( ) - > setUseAntiAliasingForText ( true ) ; // nicer (but slower) text rendering
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JKQTPDatastore * ds = plot . getDatastore ( ) ;
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// 2. now we open a BMP-file and load it into an OpenCV cv::Mat
cv : : Mat picture = cv : : imread ( " example.bmp " ) ;
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qDebug ( ) < < picture . rows < < " x " < < picture . cols < < " x " < < picture . channels ( ) ;
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// 3. make data available to JKQTPlotter by adding it to the internal datastore.
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// In this step the contents of each channel of the openCV cv::Mat is copied into a column
// of the datastore in row-major order
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size_t cPictureR = JKQTPCopyCvMatToColumn ( ds , picture , " R-channel " , 2 ) ;
size_t cPictureG = JKQTPCopyCvMatToColumn ( ds , picture , " G-channel " , 1 ) ;
size_t cPictureB = JKQTPCopyCvMatToColumn ( ds , picture , " B-channel " , 0 ) ;
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// 4. create a graph (JKQTPColumnRGBMathImage) with the columns created above as data
JKQTPColumnRGBMathImage * graph = new JKQTPColumnRGBMathImage ( & plot ) ;
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graph - > setTitle ( " " ) ;
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// set size of the data (the datastore does not contain this info, as it only manages 1D columns of data and this is used to assume a row-major ordering
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graph - > setNx ( picture . cols ) ;
graph - > setNy ( picture . rows ) ;
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// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
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graph - > setX ( 0 ) ;
graph - > setY ( 0 ) ;
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// width and height of the image in plot-axis-coordinates
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graph - > setWidth ( picture . cols ) ;
graph - > setHeight ( picture . rows ) ;
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// image column with the data
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graph - > setImageRColumn ( cPictureR ) ;
graph - > setImageGColumn ( cPictureG ) ;
graph - > setImageBColumn ( cPictureB ) ;
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// determine min/max of each channel manually
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graph - > setImageMinR ( 0 ) ;
graph - > setImageMaxR ( 255 ) ;
graph - > setImageMinG ( 0 ) ;
graph - > setImageMaxG ( 255 ) ;
graph - > setImageMinB ( 0 ) ;
graph - > setImageMaxB ( 255 ) ;
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// 5. add the graphs to the plot, so it is actually displayed
plot . addGraph ( graph ) ;
// 6. set axis labels
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plot . getXAxis ( ) - > setAxisLabel ( " x [pixels] " ) ;
plot . getYAxis ( ) - > setAxisLabel ( " y [pixels] " ) ;
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// 6.1 invert y-axis, so image is oriented correctly
plot . getYAxis ( ) - > setInverted ( true ) ;
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// 7. fix axis aspect ratio to width/height, so pixels are square
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plot . getPlotter ( ) - > setMaintainAspectRatio ( true ) ;
plot . getPlotter ( ) - > setAspectRatio ( double ( picture . cols ) / double ( picture . rows ) ) ;
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// 8. autoscale the plot so the graph is contained
plot . zoomToFit ( ) ;
// show plotter and make it a decent size
plot . show ( ) ;
plot . resize ( 800 , 600 ) ;
plot . setWindowTitle ( " JKQTPColumnMathImage " ) ;
return app . exec ( ) ;
}