Discussion :

[compagnon]

Bonjour,



je souhaite utiliser opencv2 (je parle bien de la version)

Je suis sous ubuntu 12.10 avec eclipse cdt et opencv 2.4.5

j'ai suivi ce tuto : http://docs.opencv.org/doc/tutorials..._eclipse.html#



mais cela ne concerne que les anciennes bib. le code exemple fonctionne bien.



ce que je ne trouve pas concerne le paramétrage pour utiliser opencv2

et en particulier pour compiler ce code

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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#include <stdio.h>
#include <iostream>
 
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/imgproc/imgproc.hpp"
 
using namespace cv;
 
void readme();
 
/** @function main */
int main( int argc, char** argv )
{
 if( argc != 3 )
 { readme(); return -1; }
 
// Load the images
 Mat image1= imread( argv[2] );
 Mat image2= imread( argv[1] );
 Mat gray_image1;
 Mat gray_image2;
 // Convert to Grayscale
 cvtColor( image1, gray_image1, CV_RGB2GRAY );
 cvtColor( image2, gray_image2, CV_RGB2GRAY );
 
imshow("first image",image2);
 imshow("second image",image1);
 
if( !gray_image1.data || !gray_image2.data )
 { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
 
//-- Step 1: Detect the keypoints using SURF Detector
 int minHessian = 400;
 
SurfFeatureDetector detector( minHessian );
 
std::vector< KeyPoint > keypoints_object, keypoints_scene;
 
detector.detect( gray_image1, keypoints_object );
 detector.detect( gray_image2, keypoints_scene );
 
//-- Step 2: Calculate descriptors (feature vectors)
 SurfDescriptorExtractor extractor;
 
Mat descriptors_object, descriptors_scene;
 
extractor.compute( gray_image1, keypoints_object, descriptors_object );
 extractor.compute( gray_image2, keypoints_scene, descriptors_scene );
 
//-- Step 3: Matching descriptor vectors using FLANN matcher
 FlannBasedMatcher matcher;
 std::vector< DMatch > matches;
 matcher.match( descriptors_object, descriptors_scene, matches );
 
double max_dist = 0; double min_dist = 100;
 
//-- Quick calculation of max and min distances between keypoints
 for( int i = 0; i < descriptors_object.rows; i++ )
 { double dist = matches[i].distance;
 if( dist < min_dist ) min_dist = dist;
 if( dist > max_dist ) max_dist = dist;
 }
 
printf("-- Max dist : %f \n", max_dist );
 printf("-- Min dist : %f \n", min_dist );
 
//-- Use only "good" matches (i.e. whose distance is less than 3*min_dist )
 std::vector< DMatch > good_matches;
 
for( int i = 0; i < descriptors_object.rows; i++ )
 { if( matches[i].distance < 3*min_dist )
 { good_matches.push_back( matches[i]); }
 }
 std::vector< Point2f > obj;
 std::vector< Point2f > scene;
 
for( int i = 0; i < good_matches.size(); i++ )
 {
 //-- Get the keypoints from the good matches
 obj.push_back( keypoints_object[ good_matches[i].queryIdx ].pt );
 scene.push_back( keypoints_scene[ good_matches[i].trainIdx ].pt );
 }
 
// Find the Homography Matrix
 Mat H = findHomography( obj, scene, CV_RANSAC );
 // Use the Homography Matrix to warp the images
 cv::Mat result;
 warpPerspective(image1,result,H,cv::Size(image1.cols+image2.cols,image1.rows));
 cv::Mat half(result,cv::Rect(0,0,image2.cols,image2.rows));
 image2.copyTo(half);
 imshow( "Result", result );
 
 waitKey(0);
 return 0;
 }
 
/** @function readme */
 void readme()
 { std::cout << " Usage: Panorama < img1 > < img2 >" << std::endl; }

Merci de votre expérience sur ce point

[Invité]

Bonjour,

Les étapes sont normalement exactement les mêmes...

Sinon mets plutôt des < ... > que des " ... " dans ces lignes :

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/imgproc/imgproc.hpp"

Et utilise exclusivement <iostream> / std::cout plutôt que de le mélanger à <stdio.h> / printf du C.