Merge pull request #9406 from Cartucho:update_core_tutorials
This commit is contained in:
@@ -3,7 +3,6 @@
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* @brief Simple linear blender ( dst = alpha*src1 + beta*src2 )
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* @author OpenCV team
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*/
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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@@ -24,7 +23,7 @@ int main( void )
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/// Ask the user enter alpha
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cout << " Simple Linear Blender " << endl;
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cout << "-----------------------" << endl;
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cout << "* Enter alpha [0-1]: ";
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cout << "* Enter alpha [0.0-1.0]: ";
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cin >> input;
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// We use the alpha provided by the user if it is between 0 and 1
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@@ -1,8 +1,8 @@
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/**
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* @file Drawing_1.cpp
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* @brief Simple sample code
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* @brief Simple geometric drawing
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* @author OpenCV team
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*/
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#include <opencv2/core.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui.hpp>
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@@ -83,11 +83,11 @@ int main( void ){
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/// Function Declaration
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//![myellipse]
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/**
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* @function MyEllipse
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* @brief Draw a fixed-size ellipse with different angles
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*/
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//![my_ellipse]
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void MyEllipse( Mat img, double angle )
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{
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int thickness = 2;
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@@ -103,13 +103,13 @@ void MyEllipse( Mat img, double angle )
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thickness,
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lineType );
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}
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//![myellipse]
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//![my_ellipse]
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//![myfilledcircle]
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/**
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* @function MyFilledCircle
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* @brief Draw a fixed-size filled circle
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*/
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//![my_filled_circle]
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void MyFilledCircle( Mat img, Point center )
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{
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circle( img,
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@@ -119,13 +119,13 @@ void MyFilledCircle( Mat img, Point center )
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FILLED,
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LINE_8 );
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}
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//![myfilledcircle]
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//![my_filled_circle]
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//![mypolygon]
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/**
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* @function MyPolygon
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* @brief Draw a simple concave polygon (rook)
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*/
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//![my_polygon]
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void MyPolygon( Mat img )
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{
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int lineType = LINE_8;
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@@ -163,17 +163,18 @@ void MyPolygon( Mat img )
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Scalar( 255, 255, 255 ),
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lineType );
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}
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//![mypolygon]
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//![my_polygon]
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//![myline]
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/**
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* @function MyLine
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* @brief Draw a simple line
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*/
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//![my_line]
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void MyLine( Mat img, Point start, Point end )
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{
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int thickness = 2;
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int lineType = LINE_8;
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line( img,
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start,
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end,
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@@ -181,4 +182,4 @@ void MyLine( Mat img, Point start, Point end )
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thickness,
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lineType );
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}
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//![myline]
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//![my_line]
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+20
-4
@@ -8,45 +8,58 @@
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using namespace cv;
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using namespace std;
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static void help(char* progName)
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static void help(void)
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{
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cout << endl
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<< "This program demonstrated the use of the discrete Fourier transform (DFT). " << endl
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<< "The dft of an image is taken and it's power spectrum is displayed." << endl
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<< "Usage:" << endl
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<< progName << " [image_name -- default ../data/lena.jpg] " << endl << endl;
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<< "./discrete_fourier_transform [image_name -- default ../data/lena.jpg]" << endl;
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}
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int main(int argc, char ** argv)
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{
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help(argv[0]);
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help();
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const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg";
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Mat I = imread(filename, IMREAD_GRAYSCALE);
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if( I.empty())
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if( I.empty()){
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cout << "Error opening image" << endl;
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return -1;
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}
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//! [expand]
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Mat padded; //expand input image to optimal size
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int m = getOptimalDFTSize( I.rows );
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int n = getOptimalDFTSize( I.cols ); // on the border add zero values
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copyMakeBorder(I, padded, 0, m - I.rows, 0, n - I.cols, BORDER_CONSTANT, Scalar::all(0));
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//! [expand]
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//! [complex_and_real]
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Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};
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Mat complexI;
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merge(planes, 2, complexI); // Add to the expanded another plane with zeros
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//! [complex_and_real]
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//! [dft]
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dft(complexI, complexI); // this way the result may fit in the source matrix
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//! [dft]
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// compute the magnitude and switch to logarithmic scale
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// => log(1 + sqrt(Re(DFT(I))^2 + Im(DFT(I))^2))
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//! [magnitude]
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split(complexI, planes); // planes[0] = Re(DFT(I), planes[1] = Im(DFT(I))
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magnitude(planes[0], planes[1], planes[0]);// planes[0] = magnitude
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Mat magI = planes[0];
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//! [magnitude]
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//! [log]
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magI += Scalar::all(1); // switch to logarithmic scale
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log(magI, magI);
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//! [log]
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//! [crop_rearrange]
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// crop the spectrum, if it has an odd number of rows or columns
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magI = magI(Rect(0, 0, magI.cols & -2, magI.rows & -2));
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@@ -67,9 +80,12 @@ int main(int argc, char ** argv)
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q1.copyTo(tmp); // swap quadrant (Top-Right with Bottom-Left)
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q2.copyTo(q1);
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tmp.copyTo(q2);
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//! [crop_rearrange]
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//! [normalize]
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normalize(magI, magI, 0, 1, NORM_MINMAX); // Transform the matrix with float values into a
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// viewable image form (float between values 0 and 1).
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//! [normalize]
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imshow("Input Image" , I ); // Show the result
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imshow("spectrum magnitude", magI);
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