Minimize usages of legacy C API inside the library
This commit is contained in:
@@ -10,7 +10,8 @@
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#include <iostream>
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#include <cstring>
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#include "opencv2/opencv.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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static void help(std::string errorMessage)
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{
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@@ -28,7 +29,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
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cv::Mat displayedCurveImage = cv::Mat::ones(200, curve.size().height, CV_8U);
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cv::Mat windowNormalizedCurve;
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normalize(curve, windowNormalizedCurve, 0, 200, CV_MINMAX, CV_32F);
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normalize(curve, windowNormalizedCurve, 0, 200, cv::NORM_MINMAX, CV_32F);
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displayedCurveImage = cv::Scalar::all(255); // set a white background
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int binW = cvRound((double)displayedCurveImage.cols/curve.size().height);
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@@ -80,8 +81,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
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normalize(hist, normalizedHist, 1, 0, cv::NORM_L1, CV_32F); // normalize histogram so that its sum equals 1
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double min_val, max_val;
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CvMat histArr(normalizedHist);
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cvMinMaxLoc(&histArr, &min_val, &max_val);
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minMaxLoc(normalizedHist, &min_val, &max_val);
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//std::cout<<"Hist max,min = "<<max_val<<", "<<min_val<<std::endl;
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// compute density probability
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@@ -14,7 +14,8 @@
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#include <stdio.h>
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#include <cstring>
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#include "opencv2/opencv.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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static void help(std::string errorMessage)
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{
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@@ -38,7 +39,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
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cv::Mat displayedCurveImage = cv::Mat::ones(200, curve.size().height, CV_8U);
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cv::Mat windowNormalizedCurve;
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normalize(curve, windowNormalizedCurve, 0, 200, CV_MINMAX, CV_32F);
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normalize(curve, windowNormalizedCurve, 0, 200, cv::NORM_MINMAX, CV_32F);
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displayedCurveImage = cv::Scalar::all(255); // set a white background
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int binW = cvRound((double)displayedCurveImage.cols/curve.size().height);
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@@ -5,7 +5,8 @@
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* Author: Andrew B. Godbehere
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*/
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#include <opencv2/opencv.hpp>
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#include "opencv2/video.hpp"
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#include "opencv2/highgui.hpp"
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#include <opencv2/core/utility.hpp>
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#include <iostream>
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@@ -39,10 +39,10 @@
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//
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//M*/
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/legacy/legacy.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/features2d.hpp"
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#include "opencv2/legacy.hpp"
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#include <limits>
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#include <cstdio>
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@@ -93,7 +93,7 @@ static void calcKeyPointProjections( const vector<KeyPoint>& src, const Mat_<dou
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{
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if( !src.empty() )
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{
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assert( !H.empty() && H.cols == 3 && H.rows == 3);
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CV_Assert( !H.empty() && H.cols == 3 && H.rows == 3);
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dst.resize(src.size());
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vector<KeyPoint>::const_iterator srcIt = src.begin();
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vector<KeyPoint>::iterator dstIt = dst.begin();
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@@ -109,7 +109,7 @@ static void calcKeyPointProjections( const vector<KeyPoint>& src, const Mat_<dou
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Mat_<double> Aff; linearizeHomographyAt(H, srcIt->pt, Aff);
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Mat_<double> dstM; invert(Aff*invM*Aff.t(), dstM);
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Mat_<double> eval; eigen( dstM, eval );
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assert( eval(0,0) && eval(1,0) );
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CV_Assert( eval(0,0) && eval(1,0) );
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float dstSize = (float)pow(1./(eval(0,0)*eval(1,0)), 0.25);
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// TODO: check angle projection
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@@ -526,7 +526,7 @@ inline void writeKeypoints( FileStorage& fs, const vector<KeyPoint>& keypoints,
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inline void readKeypoints( FileStorage& fs, vector<KeyPoint>& keypoints, int imgIdx )
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{
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assert( fs.isOpened() );
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CV_Assert( fs.isOpened() );
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stringstream imgName; imgName << "img" << imgIdx;
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read( fs[imgName.str()], keypoints);
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}
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@@ -1,5 +1,5 @@
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#include "opencv2/legacy/legacy.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/legacy.hpp"
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using namespace cv;
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@@ -45,7 +45,7 @@ int main( int /*argc*/, char** /*argv*/ )
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params.start_step = CvEM::START_AUTO_STEP;
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params.term_crit.max_iter = 300;
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params.term_crit.epsilon = 0.1;
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params.term_crit.type = CV_TERMCRIT_ITER|CV_TERMCRIT_EPS;
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params.term_crit.type = TermCriteria::COUNT|TermCriteria::EPS;
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// cluster the data
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em_model.train( samples, Mat(), params, &labels );
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@@ -76,7 +76,7 @@ int main( int /*argc*/, char** /*argv*/ )
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int response = cvRound(em_model.predict( sample ));
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Scalar c = colors[response];
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circle( img, Point(j, i), 1, c*0.75, CV_FILLED );
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circle( img, Point(j, i), 1, c*0.75, FILLED );
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}
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}
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@@ -84,7 +84,7 @@ int main( int /*argc*/, char** /*argv*/ )
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for( i = 0; i < nsamples; i++ )
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{
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Point pt(cvRound(samples.at<float>(i, 0)), cvRound(samples.at<float>(i, 1)));
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circle( img, pt, 1, colors[labels.at<int>(i)], CV_FILLED );
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circle( img, pt, 1, colors[labels.at<int>(i)], FILLED );
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}
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imshow( "EM-clustering result", img );
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@@ -49,9 +49,11 @@
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//
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//M*/
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#include <iostream>
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#include "opencv2/opencv.hpp"
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#include "opencv2/nonfree/nonfree.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/nonfree.hpp"
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using namespace cv;
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using namespace std;
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@@ -43,7 +43,6 @@
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#include <opencv2/highgui.hpp>
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#include <opencv2/features2d.hpp>
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#include <opencv2/nonfree.hpp>
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#include <opencv2/legacy.hpp>
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using namespace cv;
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@@ -95,9 +94,9 @@ int main( int argc, char** argv ) {
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// MATCHER
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// The standard Hamming distance can be used such as
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// BruteForceMatcher<Hamming> matcher;
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// BFMatcher matcher(NORM_HAMMING);
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// or the proposed cascade of hamming distance using SSSE3
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BruteForceMatcher<Hamming> matcher;
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BFMatcher matcher(NORM_HAMMING);
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// detect
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double t = (double)getTickCount();
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@@ -11,10 +11,6 @@
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*
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*/
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//#include <cv.h>
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//#include <ml.h>
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//#include <cvaux.h>
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//#include <highgui.h>
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#include <stdio.h>
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#include <time.h>
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#include <iostream>
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@@ -6,7 +6,9 @@
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* PSPC-lab - University of Genoa
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*/
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#include "opencv2/opencv.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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#include <cmath>
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@@ -1,5 +1,3 @@
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#define CV_NO_BACKWARD_COMPATIBILITY
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <stdlib.h>
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@@ -9,7 +9,8 @@
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#include <iostream>
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#include <cstring>
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#include "opencv2/opencv.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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static void help(std::string errorMessage)
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{
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@@ -9,7 +9,8 @@
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#include <iostream>
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#include <cstring>
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#include "opencv2/opencv.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/highgui.hpp"
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static void help(std::string errorMessage)
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{
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