84 lines
2.4 KiB
C++
84 lines
2.4 KiB
C++
/*
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* This file is part of Pastie
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*
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* Pastie is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* any later version.
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*
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* Pastie is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with Pastie. If not, see <http://www.gnu.org/licenses/>.
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*/
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/**
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* @copyright 2015 Steffen Vogel
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* @license http://www.gnu.org/licenses/gpl.txt GNU Public License
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* @author Steffen Vogel <steffen.vogel@rwth-aachen.de>
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* @link http://www.steffenvogel.de
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*/
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#include "mainwindow.h"
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#include <QApplication>
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#include <QCameraInfo>
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#include "filters.h"
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#include "imagelist.h"
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#include "filterlist.h"
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#include "source.h"
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#include "camera.h"
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#include "robot.h"
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Source *source;
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Camera *cam;
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Robot *robot;
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FilterList *filters;
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ImageList *images;
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MainWindow *mwindow;
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int main(int argc, char *argv[])
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{
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QApplication a(argc, argv);
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QList<QCameraInfo> cameras = QCameraInfo::availableCameras();
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foreach (const QCameraInfo &cameraInfo, cameras)
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qDebug() << "Found Qt camera: " << cameraInfo.deviceName() << ": " << cameraInfo.description();
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source = new Source;
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cam = new Camera(source);
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filters = new FilterList;
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images = new ImageList;
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QStringList imgs = QCoreApplication::arguments();
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imgs.removeFirst();
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imgs.removeDuplicates();
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images->load(imgs);
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/* Setup pipeline */
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Pattern *pattern = new Pattern(Size(2, 2), Size(60, 60), Pattern::QUADRILINEAR_MARKERS);
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PadDetect *pads = new PadDetect();
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PadFilter *filter = new PadFilter(pads);
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PathPlanner *planner = new PathPlanner(filter, PathPlanner::REPETETIVE_NEAREST_NEIGHBOUR);
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filters->append(pattern);
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filters->append(new Perspective(cam, pattern));
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filters->append(new Resize(Range<int>(400, 1000)));
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filters->append(new Blur(Blur::GAUSSIAN, Size(3, 3)));
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filters->append(new KMeans(4));
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filters->append(new Convert(COLOR_BGR2GRAY));
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filters->append(new Threshold(Threshold::OTSU));
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filters->append(new Morph(MORPH_CLOSE, MORPH_RECT));
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filters->append(pads);
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filters->append(filter);
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filters->append(planner);
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robot = new Robot(pattern, planner);
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mwindow = new MainWindow;
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mwindow->show();
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return a.exec();
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}
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