vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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#include "opencv2/ccalib/omnidir.hpp"
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#include "opencv2/core.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/geometry.hpp"
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#include "opencv2/calib.hpp"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include <vector>
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#include <iostream>
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#include <string>
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#include <time.h>
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using namespace cv;
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using namespace std;
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static void calcChessboardCorners(const Size &boardSize, const Size2d &squareSize, Mat& corners)
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{
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// corners has type of CV_64FC3
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corners.release();
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int n = boardSize.width * boardSize.height;
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corners.create(n, 1, CV_64FC3);
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Vec3d *ptr = corners.ptr<Vec3d>();
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for (int i = 0; i < boardSize.height; ++i)
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{
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for (int j = 0; j < boardSize.width; ++j)
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{
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ptr[i*boardSize.width + j] = Vec3d(double(j * squareSize.width), double(i * squareSize.height), 0.0);
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}
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}
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}
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static bool detecChessboardCorners(const vector<string>& list, vector<string>& list_detected,
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vector<Mat>& imagePoints, Size boardSize, Size& imageSize)
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{
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imagePoints.resize(0);
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list_detected.resize(0);
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int n_img = (int)list.size();
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Mat img;
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for(int i = 0; i < n_img; ++i)
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{
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cout << list[i] << "... ";
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Mat points;
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img = imread(list[i], IMREAD_GRAYSCALE);
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bool found = findChessboardCorners( img, boardSize, points);
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if (found)
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{
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if (points.type() != CV_64FC2)
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points.convertTo(points, CV_64FC2);
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imagePoints.push_back(points);
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list_detected.push_back(list[i]);
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}
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cout << (found ? "FOUND" : "NO") << endl;
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}
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if (!img.empty())
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imageSize = img.size();
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if (imagePoints.size() < 3)
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return false;
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else
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return true;
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}
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static bool readStringList( const string& filename, vector<string>& l )
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{
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l.resize(0);
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FileStorage fs(filename, FileStorage::READ);
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if( !fs.isOpened() )
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return false;
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FileNode n = fs.getFirstTopLevelNode();
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if( n.type() != FileNode::SEQ )
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return false;
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FileNodeIterator it = n.begin(), it_end = n.end();
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for( ; it != it_end; ++it )
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l.push_back((string)*it);
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return true;
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}
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static void saveCameraParams( const string & filename, int flags, const Mat& cameraMatrix,
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const Mat& distCoeffs, const double xi, const vector<Vec3d>& rvecs, const vector<Vec3d>& tvecs,
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vector<string> detec_list, const Mat& idx, const double rms, const vector<Mat>& imagePoints)
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{
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FileStorage fs( filename, FileStorage::WRITE );
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time_t tt;
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time( &tt );
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struct tm *t2 = localtime( &tt );
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char buf[1024];
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strftime( buf, sizeof(buf)-1, "%c", t2 );
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fs << "calibration_time" << buf;
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if ( !rvecs.empty())
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fs << "nFrames" << (int)rvecs.size();
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if ( flags != 0)
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{
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sprintf( buf, "flags: %s%s%s%s%s%s%s%s%s",
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flags & omnidir::CALIB_USE_GUESS ? "+use_intrinsic_guess" : "",
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flags & omnidir::CALIB_FIX_SKEW ? "+fix_skew" : "",
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flags & omnidir::CALIB_FIX_K1 ? "+fix_k1" : "",
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flags & omnidir::CALIB_FIX_K2 ? "+fix_k2" : "",
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flags & omnidir::CALIB_FIX_P1 ? "+fix_p1" : "",
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flags & omnidir::CALIB_FIX_P2 ? "+fix_p2" : "",
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flags & omnidir::CALIB_FIX_XI ? "+fix_xi" : "",
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flags & omnidir::CALIB_FIX_GAMMA ? "+fix_gamma" : "",
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flags & omnidir::CALIB_FIX_CENTER ? "+fix_center" : "");
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//cvWriteComment( *fs, buf, 0 );
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}
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fs << "flags" << flags;
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fs << "camera_matrix" << cameraMatrix;
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fs << "distortion_coefficients" << distCoeffs;
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fs << "xi" << xi;
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//cvWriteComment( *fs, "names of images that are acturally used in calibration", 0 );
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fs << "used_imgs" << "[";
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for (int i = 0; i < (int)idx.total(); ++i)
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{
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fs << detec_list[(int)idx.at<int>(i)];
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}
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fs << "]";
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if ( !rvecs.empty() && !tvecs.empty() )
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{
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Mat rvec_tvec((int)rvecs.size(), 6, CV_64F);
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for (int i = 0; i < (int)rvecs.size(); ++i)
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{
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Mat(rvecs[i]).reshape(1, 1).copyTo(rvec_tvec(Rect(0, i, 3, 1)));
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Mat(tvecs[i]).reshape(1, 1).copyTo(rvec_tvec(Rect(3, i, 3, 1)));
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}
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//cvWriteComment( *fs, "a set of 6-tuples (rotation vector + translation vector) for each view", 0 );
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fs << "extrinsic_parameters" << rvec_tvec;
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}
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fs << "rms" << rms;
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if ( !imagePoints.empty() )
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{
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Mat imageMat((int)imagePoints.size(), (int)imagePoints[0].total(), CV_64FC2);
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for (int i = 0; i < (int)imagePoints.size(); ++i)
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{
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Mat r = imageMat.row(i).reshape(2, imageMat.cols);
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Mat imagei(imagePoints[i]);
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imagei.copyTo(r);
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}
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fs << "image_points" << imageMat;
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}
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}
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int main(int argc, char** argv)
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{
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cv::CommandLineParser parser(argc, argv,
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"{w||board width}"
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"{h||board height}"
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"{sw|1.0|square width}"
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"{sh|1.0|square height}"
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"{o|out_camera_params.xml|output file}"
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"{fs|false|fix skew}"
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"{fp|false|fix principal point at the center}"
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"{@input||input file - xml file with a list of the images, created with cpp-example-imagelist_creator tool}"
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"{help||show help}"
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);
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parser.about("This is a sample for omnidirectional camera calibration. Example command line:\n"
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" omni_calibration -w=6 -h=9 -sw=80 -sh=80 imagelist.xml \n");
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if (parser.has("help") || !parser.has("w") || !parser.has("h"))
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{
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parser.printMessage();
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return 0;
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}
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Size boardSize(parser.get<int>("w"), parser.get<int>("h"));
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Size2d squareSize(parser.get<double>("sw"), parser.get<double>("sh"));
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int flags = 0;
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if (parser.get<bool>("fs"))
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flags |= omnidir::CALIB_FIX_SKEW;
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if (parser.get<bool>("fp"))
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flags |= omnidir::CALIB_FIX_CENTER;
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const string outputFilename = parser.get<string>("o");
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const string inputFilename = parser.get<string>(0);
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if (!parser.check())
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{
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parser.printErrors();
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return -1;
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}
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// get image name list
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vector<string> image_list, detec_list;
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if(!readStringList(inputFilename, image_list))
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{
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cout << "Can not read imagelist" << endl;
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return -1;
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}
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// find corners in images
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// some images may be failed in automatic corner detection, passed cases are in detec_list
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cout << "Detecting chessboards (" << image_list.size() << ")" << endl;
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vector<Mat> imagePoints;
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Size imageSize;
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if(!detecChessboardCorners(image_list, detec_list, imagePoints, boardSize, imageSize))
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{
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cout << "Not enough corner detected images" << endl;
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return -1;
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}
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// calculate object coordinates
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vector<Mat> objectPoints;
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Mat object;
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calcChessboardCorners(boardSize, squareSize, object);
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for(int i = 0; i < (int)detec_list.size(); ++i)
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objectPoints.push_back(object);
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// run calibration, some images are discarded in calibration process because they are failed
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// in initialization. Retained image indexes are in idx variable.
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Mat K, D, xi, idx;
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vector<Vec3d> rvecs, tvecs;
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double _xi, rms;
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TermCriteria criteria(3, 200, 1e-8);
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rms = omnidir::calibrate(objectPoints, imagePoints, imageSize, K, xi, D, rvecs, tvecs, flags, criteria, idx);
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_xi = xi.at<double>(0);
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cout << "Saving camera params to " << outputFilename << endl;
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saveCameraParams(outputFilename, flags, K, D, _xi,
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rvecs, tvecs, detec_list, idx, rms, imagePoints);
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}
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