OpenCV 3.0.0 SurfFeatureDetector и SurfDescriptorExtractor Errors

Question

Я пытаюсь реализовать описание и обнаружение функций OpenSV 3.0.0 SURF, но после запуска кода примера на сайте OpenCV я получаю массу ошибок, связанных с SURF. Любая идея, что может пойти не так? Благодаря!

#include <stdio.h> 
#include <iostream> 
#include "opencv2/core.hpp" 
#include "opencv2/features2d.hpp" 
#include "opencv2/highgui.hpp" 
#include "opencv2/calib3d.hpp" 
#include "opencv2/xfeatures2d.hpp" 
#include <opencv2/nonfree/nonfree.hpp> 

using namespace cv; 
using namespace cv::xfeatures2d; 

void readme(); 

/** @function main */ 
int main(int argc, char** argv) 
{ 
    if (argc != 3) 
    { 
     readme(); return -1; 
    } 

    Mat img_object = imread(argv[1], IMREAD_GRAYSCALE); 
    Mat img_scene = imread(argv[2], IMREAD_GRAYSCALE); 

    if (!img_object.data || !img_scene.data) 
    { 
     std::cout << " --(!) Error reading images " << std::endl; return -1; 
    } 

    //-- Step 1: Detect the keypoints using SURF Detector 
    int minHessian = 400; 

    Ptr<SURF> detector = SURF.create(minHessian); 

    std::vector<KeyPoint> keypoints_object, keypoints_scene; 

    detector.detect(img_object, keypoints_object); 
    detector.detect(img_scene, keypoints_scene); 

    //-- Step 2: Calculate descriptors (feature vectors) 
    SurfDescriptorExtractor extractor; 

    Mat descriptors_object, descriptors_scene; 

    extractor.compute(img_object, keypoints_object, descriptors_object); 
    extractor.compute(img_scene, 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); 

    //-- Draw 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]); 
     } 
    } 

    Mat img_matches; 
    drawMatches(img_object, keypoints_object, img_scene, keypoints_scene, 
     good_matches, img_matches, Scalar::all(-1), Scalar::all(-1), 
     std::vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS); 

    //-- Localize the object 
    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); 
    } 

    Mat H = findHomography(obj, scene, RANSAC); 

    //-- Get the corners from the image_1 (the object to be "detected") 
    std::vector<Point2f> obj_corners(4); 
    obj_corners[0] = cvPoint(0, 0); obj_corners[1] = cvPoint(img_object.cols, 0); 
    obj_corners[2] = cvPoint(img_object.cols, img_object.rows); obj_corners[3] = cvPoint(0, img_object.rows); 
    std::vector<Point2f> scene_corners(4); 

    perspectiveTransform(obj_corners, scene_corners, H); 

    //-- Draw lines between the corners (the mapped object in the scene - image_2) 
    line(img_matches, scene_corners[0] + Point2f(img_object.cols, 0), scene_corners[1] + Point2f(img_object.cols, 0), Scalar(0, 255, 0), 4); 
    line(img_matches, scene_corners[1] + Point2f(img_object.cols, 0), scene_corners[2] + Point2f(img_object.cols, 0), Scalar(0, 255, 0), 4); 
    line(img_matches, scene_corners[2] + Point2f(img_object.cols, 0), scene_corners[3] + Point2f(img_object.cols, 0), Scalar(0, 255, 0), 4); 
    line(img_matches, scene_corners[3] + Point2f(img_object.cols, 0), scene_corners[0] + Point2f(img_object.cols, 0), Scalar(0, 255, 0), 4); 

    //-- Show detected matches 
    imshow("Good Matches & Object detection", img_matches); 

    waitKey(0); 
    return 0; 
} 

/** @function readme */ 
void readme() 
{ 
    std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; 
} 

Ошибки:

1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(34): warning C4832: token '.' is illegal after UDT 'cv::xfeatures2d::SURF' 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(111) : see declaration of 'cv::xfeatures2d::SURF' 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(34): error C2275: 'cv::xfeatures2d::SURF' : illegal use of this type as an expression 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(111) : see declaration of 'cv::xfeatures2d::SURF' 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(34): error C2228: left of '.create' must have class/struct/union 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(38): error C2039: 'detect' : is not a member of 'cv::Ptr<cv::xfeatures2d::SURF>' 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(39): error C2039: 'detect' : is not a member of 'cv::Ptr<cv::xfeatures2d::SURF>' 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(42): error C2259: 'cv::xfeatures2d::SURF' : cannot instantiate abstract class 
1>   due to following members: 
1>   'void cv::xfeatures2d::SURF::setHessianThreshold(double)' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(127) : see declaration of 'cv::xfeatures2d::SURF::setHessianThreshold' 
1>   'double cv::xfeatures2d::SURF::getHessianThreshold(void) const' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(128) : see declaration of 'cv::xfeatures2d::SURF::getHessianThreshold' 
1>   'void cv::xfeatures2d::SURF::setNOctaves(int)' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(130) : see declaration of 'cv::xfeatures2d::SURF::setNOctaves' 
1>   'int cv::xfeatures2d::SURF::getNOctaves(void) const' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(131) : see declaration of 'cv::xfeatures2d::SURF::getNOctaves' 
1>   'void cv::xfeatures2d::SURF::setNOctaveLayers(int)' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(133) : see declaration of 'cv::xfeatures2d::SURF::setNOctaveLayers' 
1>   'int cv::xfeatures2d::SURF::getNOctaveLayers(void) const' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(134) : see declaration of 'cv::xfeatures2d::SURF::getNOctaveLayers' 
1>   'void cv::xfeatures2d::SURF::setExtended(bool)' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(136) : see declaration of 'cv::xfeatures2d::SURF::setExtended' 
1>   'bool cv::xfeatures2d::SURF::getExtended(void) const' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(137) : see declaration of 'cv::xfeatures2d::SURF::getExtended' 
1>   'void cv::xfeatures2d::SURF::setUpright(bool)' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(139) : see declaration of 'cv::xfeatures2d::SURF::setUpright' 
1>   'bool cv::xfeatures2d::SURF::getUpright(void) const' : is abstract 
1>   c:\users\belayachiry\documents\opencv\opencv\build\include\opencv2\nonfree\nonfree.hpp(140) : see declaration of 'cv::xfeatures2d::SURF::getUpright' 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(87): warning C4018: '<' : signed/unsigned mismatch 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(105): warning C4244: 'argument' : conversion from 'int' to 'float', possible loss of data 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(105): error C3861: 'line': identifier not found 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(106): warning C4244: 'argument' : conversion from 'int' to 'float', possible loss of data 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(106): error C3861: 'line': identifier not found 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(107): warning C4244: 'argument' : conversion from 'int' to 'float', possible loss of data 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(107): error C3861: 'line': identifier not found 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(108): warning C4244: 'argument' : conversion from 'int' to 'float', possible loss of data 
1>c:\users\belayachiry\documents\visual studio 2013\projects\imagewatch\imagewatch\source.cpp(108): error C3861: 'line': identifier not found 

Answer 1

Occurred некоторые изменения в OpenCV 3.0 с помощью этих инструментов.

Где

• detector.detect(img_object, keypoints_object); должен быть detector->detect(img_object, keypoints_object);
• SurfDescriptorExtractor extractor; должен быть Ptr<SURF> extractor = SURF::create();

Взгляните на эту website

В других erros должно быть, исчезнуть сейчас, я думаю.

Answer 2

У меня были те же проблемы. Мне удалось решить объединение ответов от других пользователей и добавить несколько дополнительных изменений:

• добавлено #include "opencv2/imgproc.hpp" в противном случае функция линии не распознается;
• Ptr<SURF> detector = SURF.create(minHessian); замещен, как Ptr<SURF> detector = SURF::create(minHessian);
• detector. замещен, как detector->
• SurfDescriptorExtractor extractor; в Ptr<SURF> extractor = SURF::create(); замещенным
• extractor. замещен, как extractor->

мебелирования двух изображений в качестве входных данных, а именно шаблон

и сцена, где найти его

я получаю следующие выходные данные

ОЧЕНЬ ВАЖНО: Я использую OpenCV 3.3.1 от мерзавца, который был построен с использованием OpenCV вно.