Question

此代码是Opencv的冲浪算法。我的代码不起作用。我正在使用Ubuntu 14.04.2与Opencv 3.0.0和gcc / g ++ 4.8.4。我想要编译＆＃34;冲浪算法＆＃34;

错误内容

/usr/include/opencv2/nonfree/features2d.hpp:73:21：错误：                                            'vector'尚未宣布                        矢量＆安培;关键点）const;                        ^

/usr/include/opencv2/nonfree/features2d.hpp:73:27：错误：                                       在'＆lt;'标记之前预期'，'或'...'                        矢量＆安培;关键点）const;                              ^

/usr/include/opencv2/nonfree/features2d.hpp:77:21：错误：                                       'vector'尚未宣布                        矢量＆安培;关键点，                        ^

/usr/include/opencv2/nonfree/features2d.hpp:77:27：错误：                                       在'＆lt;'标记之前预期'，'或'...'                        矢量＆安培;关键点，

＆＃39; test_surf.cpp＆＃39;

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main( int argc, char** argv )
{
 if( argc != 3)
 {
 cout <<" Usage: sift input_image output_image" << endl;
 return -1;
 }

 //cv::initModule_nonfree();
 //cout <<"initModule_nonfree() called" << endl;

 Mat image;
 image = imread(argv[1], CV_LOAD_IMAGE_COLOR); 
 if(! image.data )
 {
 cout <<  "Could not open or find the image" << std::endl ;
 return -1;
 }

 vector<KeyPoint> keypoints;
 Mat descriptors;

 // Create a SIFT keypoint detector.
 SiftFeatureDetector detector;
 detector.detect(image, keypoints);
 cout << "Detected " << (int) keypoints.size() << " keypoints" <<endl;

 // Compute feature description.
 detector.compute(image,keypoints, descriptors);
 cout << "Computed feature."<<endl;

 // Store description to "descriptors.des".
 FileStorage fs;
 fs.open("descriptors.des", FileStorage::WRITE);
 cout << "Opened file to store the features."<<endl;
 fs << "descriptors" << descriptors;
 cout << "Finished writing file."<<endl;
 fs.release();
 cout << "Released file."<<endl;

 // Show keypoints in the output image.
 Mat outputImg;
 Scalar keypointColor = Scalar(255, 0, 0);
 drawKeypoints(image, keypoints, outputImg, keypointColor, DrawMatchesFlags::DRAW_RICH_KEYPOINTS);
 cout << "Drew keypoints in output image file."<<endl;
//
#ifdef WIN32
 namedWindow("Output image", CV_WINDOW_AUTOSIZE );
 imshow("Output image", outputImg);
 waitKey(0);
#endif

 cout << "Generate the output image."<<endl;
 imwrite(argv[2], outputImg);

 cout << "Done."<<endl;
 return 0;
}

Answer 1

包含头文件向量

  #include <vector>

参考http://www.cplusplus.com/reference/vector/vector/vector/

错误/usr/include/opencv2/nonfree/features2d.hpp ubuntu上opencv中的错误向量

1 个答案: