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Update documentation ( tutorials )
This commit is contained in:
Suleyman TURKMEN
+1
-98
@@ -17,105 +17,8 @@ Code
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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#include <stdlib.h>
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@include samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int maxCorners = 10;
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int maxTrackbar = 25;
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RNG rng(12345);
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char* source_window = "Image";
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/// Function header
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void goodFeaturesToTrack_Demo( int, void* );
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/* @function main */
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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src = imread( argv[1], 1 );
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create Window
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namedWindow( source_window, WINDOW_AUTOSIZE );
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/// Create Trackbar to set the number of corners
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createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo);
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imshow( source_window, src );
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goodFeaturesToTrack_Demo( 0, 0 );
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waitKey(0);
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return(0);
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}
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/*
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Apply Shi-Tomasi corner detector
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*/
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void goodFeaturesToTrack_Demo( int, void* )
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{
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if( maxCorners < 1 ) { maxCorners = 1; }
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/// Parameters for Shi-Tomasi algorithm
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vector<Point2f> corners;
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double qualityLevel = 0.01;
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double minDistance = 10;
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int blockSize = 3;
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bool useHarrisDetector = false;
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double k = 0.04;
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/// Copy the source image
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Mat copy;
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copy = src.clone();
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/// Apply corner detection
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goodFeaturesToTrack( src_gray,
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corners,
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maxCorners,
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qualityLevel,
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minDistance,
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Mat(),
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blockSize,
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useHarrisDetector,
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k );
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/// Draw corners detected
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cout<<"** Number of corners detected: "<<corners.size()<<endl;
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int r = 4;
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for( int i = 0; i < corners.size(); i++ )
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{ circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255),
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rng.uniform(0,255)), -1, 8, 0 ); }
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/// Show what you got
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namedWindow( source_window, WINDOW_AUTOSIZE );
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imshow( source_window, copy );
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/// Set the neeed parameters to find the refined corners
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Size winSize = Size( 5, 5 );
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Size zeroZone = Size( -1, -1 );
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TermCriteria criteria = TermCriteria( TermCriteria::EPS + TermCriteria::MAX_ITER, 40, 0.001 );
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/// Calculate the refined corner locations
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cornerSubPix( src_gray, corners, winSize, zeroZone, criteria );
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/// Write them down
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for( int i = 0; i < corners.size(); i++ )
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{ cout<<" -- Refined Corner ["<<i<<"] ("<<corners[i].x<<","<<corners[i].y<<")"<<endl; }
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}
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@endcode
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Explanation
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-----------
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+1
-88
@@ -16,95 +16,8 @@ Code
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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#include <stdlib.h>
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@include samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int maxCorners = 23;
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int maxTrackbar = 100;
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RNG rng(12345);
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char* source_window = "Image";
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/// Function header
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void goodFeaturesToTrack_Demo( int, void* );
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/*
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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src = imread( argv[1], 1 );
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create Window
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namedWindow( source_window, WINDOW_AUTOSIZE );
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/// Create Trackbar to set the number of corners
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createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
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imshow( source_window, src );
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goodFeaturesToTrack_Demo( 0, 0 );
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waitKey(0);
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return(0);
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}
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/*
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Apply Shi-Tomasi corner detector
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*/
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void goodFeaturesToTrack_Demo( int, void* )
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{
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if( maxCorners < 1 ) { maxCorners = 1; }
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/// Parameters for Shi-Tomasi algorithm
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vector<Point2f> corners;
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double qualityLevel = 0.01;
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double minDistance = 10;
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int blockSize = 3;
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bool useHarrisDetector = false;
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double k = 0.04;
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/// Copy the source image
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Mat copy;
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copy = src.clone();
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/// Apply corner detection
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goodFeaturesToTrack( src_gray,
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corners,
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maxCorners,
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qualityLevel,
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minDistance,
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Mat(),
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blockSize,
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useHarrisDetector,
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k );
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/// Draw corners detected
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cout<<"** Number of corners detected: "<<corners.size()<<endl;
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int r = 4;
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for( size_t i = 0; i < corners.size(); i++ )
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{ circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255),
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rng.uniform(0,255)), -1, 8, 0 ); }
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/// Show what you got
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namedWindow( source_window, WINDOW_AUTOSIZE );
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imshow( source_window, copy );
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}
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@endcode
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Explanation
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-----------
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@@ -120,79 +120,8 @@ Code
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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#include <stdlib.h>
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@include samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int thresh = 200;
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int max_thresh = 255;
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char* source_window = "Source image";
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char* corners_window = "Corners detected";
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/// Function header
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void cornerHarris_demo( int, void* );
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/* @function main */
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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src = imread( argv[1], 1 );
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create a window and a trackbar
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namedWindow( source_window, WINDOW_AUTOSIZE );
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createTrackbar( "Threshold: ", source_window, &thresh, max_thresh, cornerHarris_demo );
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imshow( source_window, src );
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cornerHarris_demo( 0, 0 );
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waitKey(0);
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return(0);
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}
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/* @function cornerHarris_demo */
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void cornerHarris_demo( int, void* )
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{
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Mat dst, dst_norm, dst_norm_scaled;
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dst = Mat::zeros( src.size(), CV_32FC1 );
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/// Detector parameters
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int blockSize = 2;
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int apertureSize = 3;
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double k = 0.04;
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/// Detecting corners
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cornerHarris( src_gray, dst, blockSize, apertureSize, k, BORDER_DEFAULT );
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/// Normalizing
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normalize( dst, dst_norm, 0, 255, NORM_MINMAX, CV_32FC1, Mat() );
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convertScaleAbs( dst_norm, dst_norm_scaled );
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/// Drawing a circle around corners
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for( int j = 0; j < dst_norm.rows ; j++ )
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{ for( int i = 0; i < dst_norm.cols; i++ )
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{
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if( (int) dst_norm.at<float>(j,i) > thresh )
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{
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circle( dst_norm_scaled, Point( i, j ), 5, Scalar(0), 2, 8, 0 );
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}
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}
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}
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/// Showing the result
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namedWindow( corners_window, WINDOW_AUTOSIZE );
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imshow( corners_window, dst_norm_scaled );
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}
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@endcode
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Explanation
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-----------
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