reconstruction(master)$ g++ example_sfm.cpp -I /usr/include/eigen3/ -I/usr/local/include/opencv -I/usr/local/include/opencv2 -L /usr/local/share/OpenCV/3rdparty/lib/ -L/usr/local/lib/ -L /usr/include/eigen3/ -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_optflow -lopencv_sfm -lopencv_viz
In file included from /usr/local/include/opencv2/core.hpp:56:0,
from /usr/local/include/opencv2/sfm/conditioning.hpp:39,
from /usr/local/include/opencv2/sfm.hpp:39,
from example_sfm.cpp:3:
/usr/local/include/opencv2/core/traits.hpp: In instantiation of ‘struct cv::traits::Type<std::__cxx11::basic_string<char> >’:
/usr/local/include/opencv2/core/mat.inl.hpp:85:32: required from ‘cv::_InputArray::_InputArray(const std::vector<_Tp>&) [with _Tp = std::__cxx11::basic_string<char>]’
example_sfm.cpp:66:86: required from here
**/usr/local/include/opencv2/core/traits.hpp:366:8: error: ‘type’ is not a member of ‘cv::DataType<std::__cxx11::basic_string<char> >’**
{ enum { value = DataType<T>::type }; };
^
reconstruction(master)$ pkg-config --modversion opencv
3.4.0
Please let me know the solution for this error.
Source Code : example_sfm.cpp
https://github.com/alyssaq/reconstruction/blob/master/example_sfm.cpp
define
#define
CERES_FOUND
true include <opencv2 sfm.hpp="">
include <opencv2 viz.hpp="">
include <opencv2 calib3d.hpp="">
include <opencv2 core.hpp="">
include <iostream>
include <fstream>
include <string>
include <iomanip>
true
#include <opencv2/sfm.hpp>
#include <opencv2/viz.hpp>
#include <opencv2/calib3d.hpp>
#include <opencv2/core.hpp>
#include <iostream>
#include <fstream>
#include <string>
#include <iomanip>
using namespace std;
using namespace cv;
using namespace
cv::sfm; cv::sfm;
static void help() {
cout
<< "\n------------------------------------------------------------------------------------\n"
<< " This program shows the multiview reconstruction capabilities in the \n"
<< " OpenCV Structure From Motion (SFM) module.\n"
<< " It reconstruct a scene from a set of 2D images \n"
<< " Usage:\n"
<< " example_sfm_scene_reconstruction <path_to_file> <f> <cx> <cy>\n"
<< " where: path_to_file is the file absolute path into your system which contains\n"
<< " the list of images to use for reconstruction. \n"
<< " f is the focal lenght in pixels. \n"
<< " cx is the image principal point x coordinates in pixels. \n"
<< " cy is the image principal point y coordinates in pixels. \n"
<< "------------------------------------------------------------------------------------\n\n"
<< endl;
}
int getdir(const string _filename, vector<string> &files)
{
ifstream myfile(_filename.c_str());
if (!myfile.is_open()) {
cout << "Unable to read file: " << _filename << endl;
exit(0);
} else {;
size_t found =
_filename.find_last_of("/\");
_filename.find_last_of("/\\");
string line_str, path_to_file = _filename.substr(0, found);
while ( getline(myfile, line_str) ) {
cout << line_str << endl;
files.push_back(line_str);
}
}
return 1;
}
int main(int argc, char* argv[])
{
// Read input parameters
if ( argc != 5 )
{
help();
exit(0);
}
// Parse the image paths
vector<string> images_paths;
getdir( argv[1], images_paths );
// Build instrinsics
float f = atof(argv[2]),
cx = atof(argv[3]), cy = atof(argv[4]);
Matx33d K = Matx33d( f, 0, cx,
0, f, cy,
0, 0, 1);
bool is_projective = true;
vector<mat> vector<Mat> Rs_est, ts_est, points3d_estimated;
sfm::reconstruct(images_paths, Rs_est, ts_est, K, points3d_estimated,
is_projective); is_projective);
// Print output
cout << "\n----------------------------\n" << endl;
cout << "Reconstruction: " << endl;
cout << "============================" << endl;
cout << "Estimated 3D points: " << points3d_estimated.size() << endl;
cout << "Estimated cameras: " << Rs_est.size() << endl;
cout << "Refined intrinsics: " << endl << K << endl << endl;
cout << "3D Visualization: " << endl;
cout << "============================" << endl;
viz::Viz3d window("Coordinate Frame");
window.setWindowSize(Size(500,500));
window.setWindowPosition(Point(150,150));
window.setBackgroundColor(); // black by default
// Create the pointcloud
cout << "Recovering points ...
"; ";
// recover estimated points3d
ofstream points_file;
cv::MatIterator_<double> mat_it;
points_file.open("points.txt");
points_file.precision(std::numeric_limits<double>::digits10);
for (int i = 0; i < points3d_estimated.size(); ++i) {
std::cout << points3d_estimated[i] << std::endl;
for(mat_it = points3d_estimated[i].begin<double>(); mat_it != points3d_estimated[i].end<double>(); mat_it++){
points_file << *mat_it << " ";
}
points_file << "\n";
}
cout << "Done. Points saved to points.txt" << endl;
points_file.close(); points_file.close();
return 0;
}}
