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252 lines
9.6 KiB
252 lines
9.6 KiB
/* |
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By downloading, copying, installing or using the software you agree to this |
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license. If you do not agree to this license, do not download, install, |
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copy or use the software. |
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License Agreement |
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For Open Source Computer Vision Library |
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(3-clause BSD License) |
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Copyright (C) 2013, OpenCV Foundation, all rights reserved. |
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Third party copyrights are property of their respective owners. |
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Redistribution and use in source and binary forms, with or without modification, |
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are permitted provided that the following conditions are met: |
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* Redistributions of source code must retain the above copyright notice, |
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this list of conditions and the following disclaimer. |
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* Redistributions in binary form must reproduce the above copyright notice, |
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this list of conditions and the following disclaimer in the documentation |
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and/or other materials provided with the distribution. |
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* Neither the names of the copyright holders nor the names of the contributors |
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may be used to endorse or promote products derived from this software |
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without specific prior written permission. |
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This software is provided by the copyright holders and contributors "as is" and |
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any express or implied warranties, including, but not limited to, the implied |
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warranties of merchantability and fitness for a particular purpose are |
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disclaimed. In no event shall copyright holders or contributors be liable for |
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any direct, indirect, incidental, special, exemplary, or consequential damages |
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(including, but not limited to, procurement of substitute goods or services; |
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loss of use, data, or profits; or business interruption) however caused |
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and on any theory of liability, whether in contract, strict liability, |
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or tort (including negligence or otherwise) arising in any way out of |
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the use of this software, even if advised of the possibility of such damage. |
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*/ |
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#include <opencv2/highgui.hpp> |
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#include <opencv2/aruco.hpp> |
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#include <vector> |
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#include <iostream> |
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using namespace std; |
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using namespace cv; |
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/** |
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*/ |
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static void help() { |
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cout << "Pose estimation using a ArUco Planar Grid board" << endl; |
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cout << "Parameters: " << endl; |
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cout << "-w <nmarkers> # Number of markers in X direction" << endl; |
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cout << "-h <nmarkers> # Number of markers in Y direction" << endl; |
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cout << "-l <markerLength> # Marker side lenght (in meters)" << endl; |
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cout << "-s <markerSeparation> # Separation between two consecutive" |
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<< "markers in the grid (in meters)" << endl; |
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cout << "-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" << endl; |
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cout << "-c <cameraParams> # Camera intrinsic parameters file" << endl; |
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cout << "[-v <videoFile>] # Input from video file, if ommited, input comes from camera" << endl; |
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cout << "[-ci <int>] # Camera id if input doesnt come from video (-v). Default is 0" << endl; |
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cout << "[-dp <detectorParams>] # File of marker detector parameters" << endl; |
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cout << "[-rs] # Apply refind strategy" << endl; |
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cout << "[-r] # show rejected candidates too" << endl; |
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} |
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/** |
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*/ |
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static bool isParam(string param, int argc, char **argv) { |
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for(int i = 0; i < argc; i++) |
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if(string(argv[i]) == param) return true; |
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return false; |
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} |
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/** |
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*/ |
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static string getParam(string param, int argc, char **argv, string defvalue = "") { |
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int idx = -1; |
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for(int i = 0; i < argc && idx == -1; i++) |
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if(string(argv[i]) == param) idx = i; |
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if(idx == -1 || (idx + 1) >= argc) |
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return defvalue; |
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else |
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return argv[idx + 1]; |
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} |
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/** |
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*/ |
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static bool readCameraParameters(string filename, Mat &camMatrix, Mat &distCoeffs) { |
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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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fs["camera_matrix"] >> camMatrix; |
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fs["distortion_coefficients"] >> distCoeffs; |
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return true; |
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} |
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/** |
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*/ |
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static bool readDetectorParameters(string filename, aruco::DetectorParameters ¶ms) { |
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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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fs["adaptiveThreshWinSizeMin"] >> params.adaptiveThreshWinSizeMin; |
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fs["adaptiveThreshWinSizeMax"] >> params.adaptiveThreshWinSizeMax; |
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fs["adaptiveThreshWinSizeStep"] >> params.adaptiveThreshWinSizeStep; |
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fs["adaptiveThreshConstant"] >> params.adaptiveThreshConstant; |
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fs["minMarkerPerimeterRate"] >> params.minMarkerPerimeterRate; |
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fs["maxMarkerPerimeterRate"] >> params.maxMarkerPerimeterRate; |
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fs["polygonalApproxAccuracyRate"] >> params.polygonalApproxAccuracyRate; |
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fs["minCornerDistanceRate"] >> params.minCornerDistanceRate; |
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fs["minDistanceToBorder"] >> params.minDistanceToBorder; |
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fs["minMarkerDistanceRate"] >> params.minMarkerDistanceRate; |
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fs["doCornerRefinement"] >> params.doCornerRefinement; |
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fs["cornerRefinementWinSize"] >> params.cornerRefinementWinSize; |
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fs["cornerRefinementMaxIterations"] >> params.cornerRefinementMaxIterations; |
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fs["cornerRefinementMinAccuracy"] >> params.cornerRefinementMinAccuracy; |
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fs["markerBorderBits"] >> params.markerBorderBits; |
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fs["perspectiveRemovePixelPerCell"] >> params.perspectiveRemovePixelPerCell; |
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fs["perspectiveRemoveIgnoredMarginPerCell"] >> params.perspectiveRemoveIgnoredMarginPerCell; |
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fs["maxErroneousBitsInBorderRate"] >> params.maxErroneousBitsInBorderRate; |
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fs["minOtsuStdDev"] >> params.minOtsuStdDev; |
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fs["errorCorrectionRate"] >> params.errorCorrectionRate; |
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return true; |
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} |
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/** |
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*/ |
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int main(int argc, char *argv[]) { |
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if(!isParam("-w", argc, argv) || !isParam("-h", argc, argv) || !isParam("-l", argc, argv) || |
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!isParam("-s", argc, argv) || !isParam("-d", argc, argv) || !isParam("-c", argc, argv)) { |
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help(); |
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return 0; |
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} |
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int markersX = atoi(getParam("-w", argc, argv).c_str()); |
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int markersY = atoi(getParam("-h", argc, argv).c_str()); |
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float markerLength = (float)atof(getParam("-l", argc, argv).c_str()); |
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float markerSeparation = (float)atof(getParam("-s", argc, argv).c_str()); |
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int dictionaryId = atoi(getParam("-d", argc, argv).c_str()); |
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aruco::Dictionary dictionary = |
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aruco::getPredefinedDictionary(aruco::PREDEFINED_DICTIONARY_NAME(dictionaryId)); |
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bool showRejected = false; |
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if(isParam("-r", argc, argv)) showRejected = true; |
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Mat camMatrix, distCoeffs; |
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if(isParam("-c", argc, argv)) { |
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bool readOk = readCameraParameters(getParam("-c", argc, argv), camMatrix, distCoeffs); |
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if(!readOk) { |
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cerr << "Invalid camera file" << endl; |
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return 0; |
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} |
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} |
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aruco::DetectorParameters detectorParams; |
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if(isParam("-dp", argc, argv)) { |
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bool readOk = readDetectorParameters(getParam("-dp", argc, argv), detectorParams); |
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if(!readOk) { |
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cerr << "Invalid detector parameters file" << endl; |
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return 0; |
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} |
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} |
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detectorParams.doCornerRefinement = true; // do corner refinement in markers |
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bool refindStrategy = false; |
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if(isParam("-rs", argc, argv)) refindStrategy = true; |
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VideoCapture inputVideo; |
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int waitTime; |
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if(isParam("-v", argc, argv)) { |
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inputVideo.open(getParam("-v", argc, argv)); |
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waitTime = 0; |
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} else { |
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int camId = 0; |
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if(isParam("-ci", argc, argv)) camId = atoi(getParam("-ci", argc, argv).c_str()); |
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inputVideo.open(camId); |
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waitTime = 10; |
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} |
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float axisLength = 0.5f * ((float)min(markersX, markersY) * (markerLength + markerSeparation) + |
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markerSeparation); |
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// create board object |
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aruco::GridBoard board = |
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aruco::GridBoard::create(markersX, markersY, markerLength, markerSeparation, dictionary); |
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double totalTime = 0; |
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int totalIterations = 0; |
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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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double tick = (double)getTickCount(); |
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vector< int > ids; |
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vector< vector< Point2f > > corners, rejected; |
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Mat rvec, tvec; |
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// detect markers |
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aruco::detectMarkers(image, dictionary, corners, ids, detectorParams, rejected); |
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// refind strategy to detect more markers |
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if(refindStrategy) |
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aruco::refineDetectedMarkers(image, board, corners, ids, rejected, camMatrix, |
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distCoeffs); |
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// estimate board pose |
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int markersOfBoardDetected = 0; |
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if(ids.size() > 0) |
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markersOfBoardDetected = |
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aruco::estimatePoseBoard(corners, ids, board, camMatrix, distCoeffs, rvec, tvec); |
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double currentTime = ((double)getTickCount() - tick) / getTickFrequency(); |
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totalTime += currentTime; |
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totalIterations++; |
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if(totalIterations % 30 == 0) { |
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cout << "Detection Time = " << currentTime * 1000 << " ms " |
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<< "(Mean = " << 1000 * totalTime / double(totalIterations) << " ms)" << endl; |
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} |
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// draw results |
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image.copyTo(imageCopy); |
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if(ids.size() > 0) { |
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aruco::drawDetectedMarkers(imageCopy, corners, ids); |
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} |
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if(showRejected && rejected.size() > 0) |
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aruco::drawDetectedMarkers(imageCopy, rejected, noArray(), Scalar(100, 0, 255)); |
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if(markersOfBoardDetected > 0) |
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aruco::drawAxis(imageCopy, camMatrix, distCoeffs, rvec, tvec, axisLength); |
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imshow("out", imageCopy); |
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char key = (char)waitKey(waitTime); |
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if(key == 27) break; |
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} |
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return 0; |
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}
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