chore: import upstream snapshot with attribution
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#include <ctime>
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#include <iostream>
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#include <vector>
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#include <opencv2/calib3d.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/objdetect/aruco_detector.hpp>
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#include "aruco_samples_utility.hpp"
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using namespace std;
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using namespace cv;
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namespace {
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const char* about =
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"Calibration using a ArUco Planar Grid board\n"
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" To capture a frame for calibration, press 'c',\n"
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" If input comes from video, press any key for next frame\n"
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" To finish capturing, press 'ESC' key and calibration starts.\n";
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const char* keys =
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"{w | | Number of squares in X direction }"
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"{h | | Number of squares in Y direction }"
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"{l | | Marker side length (in meters) }"
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"{s | | Separation between two consecutive markers in the grid (in meters) }"
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"{d | | dictionary: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2,"
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"DICT_4X4_1000=3, DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, "
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"DICT_6X6_50=8, DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12,"
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"DICT_7X7_100=13, DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL=16,"
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"DICT_APRILTAG_16h5=17, DICT_APRILTAG_25h9=18, DICT_APRILTAG_36h10=19, DICT_APRILTAG_36h11=20, DICT_ARUCO_MIP_36h12=21}"
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"{cd | | Input file with custom dictionary }"
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"{@outfile |cam.yml| Output file with calibrated camera parameters }"
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"{v | | Input from video file, if ommited, input comes from camera }"
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"{ci | 0 | Camera id if input doesnt come from video (-v) }"
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"{dp | | File of marker detector parameters }"
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"{rs | false | Apply refind strategy }"
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"{zt | false | Assume zero tangential distortion }"
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"{a | | Fix aspect ratio (fx/fy) to this value }"
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"{pc | false | Fix the principal point at the center }";
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}
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int main(int argc, char *argv[]) {
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CommandLineParser parser(argc, argv, keys);
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parser.about(about);
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if(argc < 6) {
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parser.printMessage();
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return 0;
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}
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int markersX = parser.get<int>("w");
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int markersY = parser.get<int>("h");
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float markerLength = parser.get<float>("l");
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float markerSeparation = parser.get<float>("s");
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string outputFile = parser.get<string>(0);
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int calibrationFlags = 0;
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float aspectRatio = 1;
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if(parser.has("a")) {
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calibrationFlags |= CALIB_FIX_ASPECT_RATIO;
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aspectRatio = parser.get<float>("a");
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}
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if(parser.get<bool>("zt")) calibrationFlags |= CALIB_ZERO_TANGENT_DIST;
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if(parser.get<bool>("pc")) calibrationFlags |= CALIB_FIX_PRINCIPAL_POINT;
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aruco::Dictionary dictionary = readDictionatyFromCommandLine(parser);
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aruco::DetectorParameters detectorParams = readDetectorParamsFromCommandLine(parser);
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bool refindStrategy = parser.get<bool>("rs");
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int camId = parser.get<int>("ci");
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String video;
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if(parser.has("v")) {
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video = parser.get<String>("v");
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}
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if(!parser.check()) {
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parser.printErrors();
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return 0;
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}
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VideoCapture inputVideo;
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int waitTime;
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if(!video.empty()) {
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inputVideo.open(video);
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waitTime = 0;
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} else {
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inputVideo.open(camId);
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waitTime = 10;
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}
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//! [CalibrationWithArucoBoard1]
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// Create board object and ArucoDetector
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aruco::GridBoard gridboard(Size(markersX, markersY), markerLength, markerSeparation, dictionary);
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aruco::ArucoDetector detector(dictionary, detectorParams);
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// Collected frames for calibration
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vector<vector<vector<Point2f>>> allMarkerCorners;
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vector<vector<int>> allMarkerIds;
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Size imageSize;
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while(inputVideo.grab()) {
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Mat image, imageCopy;
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inputVideo.retrieve(image);
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vector<int> markerIds;
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vector<vector<Point2f>> markerCorners, rejectedMarkers;
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// Detect markers
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detector.detectMarkers(image, markerCorners, markerIds, rejectedMarkers);
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// Refind strategy to detect more markers
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if(refindStrategy) {
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detector.refineDetectedMarkers(image, gridboard, markerCorners, markerIds, rejectedMarkers);
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}
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//! [CalibrationWithArucoBoard1]
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// Draw results
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image.copyTo(imageCopy);
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if(!markerIds.empty()) {
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aruco::drawDetectedMarkers(imageCopy, markerCorners, markerIds);
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}
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putText(imageCopy, "Press 'c' to add current frame. 'ESC' to finish and calibrate",
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Point(10, 20), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255, 0, 0), 2);
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imshow("out", imageCopy);
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// Wait for key pressed
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char key = (char)waitKey(waitTime);
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if(key == 27) {
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break;
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}
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//! [CalibrationWithArucoBoard2]
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if(key == 'c' && !markerIds.empty()) {
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cout << "Frame captured" << endl;
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allMarkerCorners.push_back(markerCorners);
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allMarkerIds.push_back(markerIds);
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imageSize = image.size();
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}
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}
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//! [CalibrationWithArucoBoard2]
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if(allMarkerIds.empty()) {
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throw std::runtime_error("Not enough captures for calibration\n");
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}
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//! [CalibrationWithArucoBoard3]
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Mat cameraMatrix, distCoeffs;
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if(calibrationFlags & CALIB_FIX_ASPECT_RATIO) {
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cameraMatrix = Mat::eye(3, 3, CV_64F);
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cameraMatrix.at<double>(0, 0) = aspectRatio;
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}
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// Prepare data for calibration
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vector<Point3f> objectPoints;
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vector<Point2f> imagePoints;
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vector<Mat> processedObjectPoints, processedImagePoints;
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size_t nFrames = allMarkerCorners.size();
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for(size_t frame = 0; frame < nFrames; frame++) {
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Mat currentImgPoints, currentObjPoints;
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gridboard.matchImagePoints(allMarkerCorners[frame], allMarkerIds[frame], currentObjPoints, currentImgPoints);
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if(currentImgPoints.total() > 0 && currentObjPoints.total() > 0) {
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processedImagePoints.push_back(currentImgPoints);
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processedObjectPoints.push_back(currentObjPoints);
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}
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}
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// Calibrate camera
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double repError = calibrateCamera(processedObjectPoints, processedImagePoints, imageSize, cameraMatrix, distCoeffs,
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noArray(), noArray(), noArray(), noArray(), noArray(), calibrationFlags);
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//! [CalibrationWithArucoBoard3]
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bool saveOk = saveCameraParams(outputFile, imageSize, aspectRatio, calibrationFlags,
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cameraMatrix, distCoeffs, repError);
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if(!saveOk) {
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throw std::runtime_error("Cannot save output file\n");
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}
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cout << "Rep Error: " << repError << endl;
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cout << "Calibration saved to " << outputFile << endl;
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return 0;
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}
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