int main (int argc, char** argv) {
// Handle input
float pointSize;
float pointStep;
float alpha;
int applyTransform;
int step;
string logFilename;
string configFilename;
float di_scaleFactor;
float scale;
g2o::CommandArgs arg;
arg.param("vz_pointSize", pointSize, 1.0f, "Size of the points where are visualized");
arg.param("vz_transform", applyTransform, 1, "Choose if you want to apply the absolute transform of the point clouds");
arg.param("vz_step", step, 1, "Visualize a point cloud each vz_step point clouds");
arg.param("vz_alpha", alpha, 1.0f, "Alpha channel value used for the color points");
arg.param("vz_pointStep", pointStep, 1, "Step at which point are drawn");
arg.param("vz_scale", scale, 2, "Depth image size reduction factor");
arg.param("di_scaleFactor", di_scaleFactor, 0.001f, "Scale factor to apply to convert depth images in meters");
arg.paramLeftOver("configFilename", configFilename, "", "Configuration filename", true);
arg.paramLeftOver("logFilename", logFilename, "", "Log filename", true);
arg.parseArgs(argc, argv);
// Create GUI
QApplication application(argc,argv);
QWidget *mainWindow = new QWidget();
mainWindow->setWindowTitle("pwn_tracker_log_viewer");
QHBoxLayout *hlayout = new QHBoxLayout();
mainWindow->setLayout(hlayout);
QVBoxLayout *vlayout = new QVBoxLayout();
hlayout->addItem(vlayout);
QVBoxLayout *vlayout2 = new QVBoxLayout();
hlayout->addItem(vlayout2);
hlayout->setStretch(1, 1);
QListWidget* listWidget = new QListWidget(mainWindow);
listWidget->setSelectionMode(QAbstractItemView::MultiSelection);
vlayout->addWidget(listWidget);
PWNQGLViewer* viewer = new PWNQGLViewer(mainWindow);
vlayout2->addWidget(viewer);
Eigen::Isometry3f T;
T.setIdentity();
T.matrix().row(3) << 0.0f, 0.0f, 0.0f, 1.0f;
// Read config file
cout << "Loading config file..." << endl;
Aligner *aligner;
DepthImageConverter *converter;
std::vector<Serializable*> instances = readConfig(aligner, converter, configFilename.c_str());
converter->projector()->scale(1.0f/scale);
cout << "... done" << endl;
// Read and parse log file
std::vector<boss::Serializable*> objects;
std::vector<PwnTrackerFrame*> trackerFrames;
std::vector<PwnTrackerRelation*> trackerRelations;
Deserializer des;
des.setFilePath(logFilename);
cout << "Loading log file..." << endl;
load(trackerFrames, trackerRelations, objects, des, step);
cout << "... done" << endl;
// Load the drawable list with the PwnTrackerFrame objects
std::vector<Frame*> pointClouds;
pointClouds.resize(trackerFrames.size());
Frame *dummyFrame = 0;
std::fill(pointClouds.begin(), pointClouds.end(), dummyFrame);
for(size_t i = 0; i < trackerFrames.size(); i++) {
PwnTrackerFrame *pwnTrackerFrame = trackerFrames[i];
char nummero[1024];
sprintf(nummero, "%05d", (int)i);
listWidget->addItem(QString(nummero));
QListWidgetItem *lastItem = listWidget->item(listWidget->count() - 1);
Isometry3f transform = Isometry3f::Identity();
if(applyTransform) {
isometry3d2f(transform, pwnTrackerFrame->transform());
transform = transform*pwnTrackerFrame->sensorOffset;
}
transform.matrix().row(3) << 0.0f, 0.0f, 0.0f, 1.0f;
GLParameterFrame *frameParams = new GLParameterFrame();
frameParams->setStep(pointStep);
frameParams->setShow(false);
DrawableFrame* drawableFrame = new DrawableFrame(transform, frameParams, pointClouds[i]);
viewer->addDrawable(drawableFrame);
}
// Manage GUI
viewer->init();
mainWindow->show();
viewer->show();
listWidget->show();
viewer->setAxisIsDrawn(true);
bool selectionChanged = false;
QListWidgetItem *item = 0;
DepthImage depthImage;
DepthImage scaledDepthImage;
while (mainWindow->isVisible()) {
selectionChanged = false;
for (int i = 0; i<listWidget->count(); i++) {
item = 0;
item = listWidget->item(i);
DrawableFrame *drawableFrame = dynamic_cast<DrawableFrame*>(viewer->drawableList()[i]);
if (item && item->isSelected()) {
if(!drawableFrame->parameter()->show()) {
drawableFrame->parameter()->setShow(true);
selectionChanged = true;
}
if(pointClouds[i] == 0) {
pointClouds[i] = new Frame();
boss_map::ImageBLOB* fromDepthBlob = trackerFrames[i]->depthImage.get();
DepthImage depthImage;
depthImage.fromCvMat(fromDepthBlob->cvImage());
DepthImage::scale(scaledDepthImage, depthImage, scale);
converter->compute(*pointClouds[i], scaledDepthImage);
drawableFrame->setFrame(pointClouds[i]);
delete fromDepthBlob;
}
} else {
drawableFrame->parameter()->setShow(false);
selectionChanged = true;
}
}
if (selectionChanged)
viewer->updateGL();
application.processEvents();
}
return 0;
}
void TwoDepthImageAlignerNode::processNode(MapNode* node_){
cerr << "START ITERATION" << endl;
std::vector<Serializable*> crearedObjects;
SensingFrameNode* sensingFrame = dynamic_cast<SensingFrameNode*>(node_);
if (! sensingFrame)
return;
PinholeImageData* image = dynamic_cast<PinholeImageData*>(sensingFrame->sensorData(_topic));
if (! image)
return;
cerr << "got image" << endl;
Eigen::Isometry3d _sensorOffset = _config->sensorOffset(image->baseSensor());
// cerr << "sensorOffset: " << endl;
// cerr << _sensorOffset.matrix() << endl;
Eigen::Isometry3f sensorOffset;
convertScalar(sensorOffset,_sensorOffset);
sensorOffset.matrix().row(3) << 0,0,0,1;
Eigen::Matrix3d _cameraMatrix = image->cameraMatrix();
ImageBLOB* blob = image->imageBlob().get();
DepthImage depthImage;
depthImage.fromCvMat(blob->cvImage());
int r=depthImage.rows();
int c=depthImage.cols();
DepthImage scaledImage;
Eigen::Matrix3f cameraMatrix;
convertScalar(cameraMatrix,_cameraMatrix);
//computeScaledParameters(r,c,cameraMatrix,_scale);
PinholePointProjector* projector=dynamic_cast<PinholePointProjector*>(_converter->projector());
cameraMatrix(2,2)=1;
projector->setCameraMatrix(cameraMatrix);
projector->setImageSize(depthImage.rows(), depthImage.cols());
projector->scale(1.0/_scale);
DepthImage::scale(scaledImage,depthImage,_scale);
pwn::Frame* frame = new pwn::Frame;
_converter->compute(*frame,scaledImage, sensorOffset);
MapNodeBinaryRelation* odom=0;
std::vector<MapNode*> oneNode(1);
oneNode[0]=sensingFrame;
MapNodeUnaryRelation* imu = extractRelation<MapNodeUnaryRelation>(oneNode);
if (_previousFrame){
_aligner->setReferenceSensorOffset(_aligner->currentSensorOffset());
_aligner->setCurrentSensorOffset(sensorOffset);
_aligner->setReferenceFrame(_previousFrame);
_aligner->setCurrentFrame(frame);
PinholePointProjector* projector=(PinholePointProjector*)(_aligner->projector());
projector->setCameraMatrix(cameraMatrix);
projector->setImageSize(depthImage.rows(), depthImage.cols());
projector->scale(1.0/_scale);
_aligner->correspondenceFinder()->setImageSize(projector->imageRows(), projector->imageCols());
/*
cerr << "correspondenceFinder: " << r << " " << c << endl;
cerr << "sensorOffset" << endl;
cerr <<_aligner->currentSensorOffset().matrix() << endl;
cerr <<_aligner->referenceSensorOffset().matrix() << endl;
cerr << "cameraMatrix" << endl;
cerr << projector->cameraMatrix() << endl;
*/
std::vector<MapNode*> twoNodes(2);
twoNodes[0]=_previousSensingFrameNode;
twoNodes[1]=sensingFrame;
odom = extractRelation<MapNodeBinaryRelation>(twoNodes);
cerr << "odom:" << odom << " imu:" << imu << endl;
Eigen::Isometry3f guess= Eigen::Isometry3f::Identity();
_aligner->clearPriors();
if (odom){
Eigen::Isometry3f mean;
Eigen::Matrix<float,6,6> info;
convertScalar(mean,odom->transform());
mean.matrix().row(3) << 0,0,0,1;
convertScalar(info,odom->informationMatrix());
//cerr << "odom: " << t2v(mean).transpose() << endl;
_aligner->addRelativePrior(mean,info);
//guess = mean;
}
if (imu){
Eigen::Isometry3f mean;
Eigen::Matrix<float,6,6> info;
convertScalar(mean,imu->transform());
convertScalar(info,imu->informationMatrix());
mean.matrix().row(3) << 0,0,0,1;
//cerr << "imu: " << t2v(mean).transpose() << endl;
_aligner->addAbsolutePrior(_globalT,mean,info);
}
_aligner->setInitialGuess(guess);
cerr << "Frames: " << _previousFrame << " " << frame << endl;
// projector->setCameraMatrix(cameraMatrix);
// projector->setTransform(Eigen::Isometry3f::Identity());
// Eigen::MatrixXi debugIndices(r,c);
// DepthImage debugImage(r,c);
// projector->project(debugIndices, debugImage, frame->points());
_aligner->align();
// sprintf(buf, "img-dbg-%05d.pgm",j);
// debugImage.save(buf);
//sprintf(buf, "img-ref-%05d.pgm",j);
//_aligner->correspondenceFinder()->referenceDepthImage().save(buf);
//sprintf(buf, "img-cur-%05d.pgm",j);
//_aligner->correspondenceFinder()->currentDepthImage().save(buf);
cerr << "inliers: " << _aligner->inliers() << endl;
cerr << "chi2: " << _aligner->error() << endl;
cerr << "chi2/inliers: " << _aligner->error()/_aligner->inliers() << endl;
cerr << "initialGuess: " << t2v(guess).transpose() << endl;
cerr << "transform : " << t2v(_aligner->T()).transpose() << endl;
if (_aligner->inliers()>-1){
_globalT = _globalT*_aligner->T();
cerr << "TRANSFORM FOUND" << endl;
} else {
cerr << "FAILURE" << endl;
_globalT = _globalT*guess;
}
if (! (_counter%50) ) {
Eigen::Matrix3f R = _globalT.linear();
Eigen::Matrix3f E = R.transpose() * R;
E.diagonal().array() -= 1;
_globalT.linear() -= 0.5 * R * E;
}
_globalT.matrix().row(3) << 0,0,0,1;
cerr << "globalTransform : " << t2v(_globalT).transpose() << endl;
// char buf[1024];
// sprintf(buf, "frame-%05d.pwn",_counter);
// frame->save(buf, 1, true, _globalT);
cerr << "creating alias" << endl;
// create an alias for the previous node
MapNodeAlias* newRoot = new MapNodeAlias(_previousSensingFrameNode,_previousSensingFrameNode->manager());
_previousSensingFrameNode->manager()->addNode(newRoot);
cerr << "creating alias relation" << endl;
MapNodeAliasRelation* aliasRel = new MapNodeAliasRelation(newRoot,_previousSensingFrameNode->manager());
aliasRel->nodes()[0] = newRoot;
aliasRel->nodes()[1] = _previousSensingFrameNode;
_previousSensingFrameNode->manager()->addRelation(aliasRel);
cerr << "reparenting old elements" << endl;
// assign all the used relations to the alias node
if (imu){
imu->setOwner(newRoot);
imu->manager()->addRelation(imu);
}
if (odom){
odom->setOwner(newRoot);
odom->manager()->addRelation(imu);
}
cerr << "adding result" << endl;
Relation* newRel = new Relation(_aligner, _converter,
_previousSensingFrameNode, sensingFrame,
_topic, _aligner->inliers(), _aligner->error(), _manager);
newRel->setOwner(newRoot);
newRel->nodes()[0] = newRoot;
newRel->nodes()[1] = _previousSensingFrameNode;
Eigen::Isometry3d iso;
convertScalar(iso,_aligner->T());
newRel->setTransform(iso);
newRel->setInformationMatrix(Eigen::Matrix<double, 6,6>::Identity());
newRel->manager()->addRelation(newRel);
*os << _globalT.translation().transpose() << endl;
// create a new alias node for the prior element
// bind the alias with the prior node
// add to the alias the relations that have been used to
// determine the transformation
// add the alias to the map
// add the new transformation to the map
} else {
_aligner->setCurrentSensorOffset(sensorOffset);
_globalT = Eigen::Isometry3f::Identity();
if (imu){
Eigen::Isometry3f mean;
convertScalar(mean,imu->transform());
_globalT = mean;
}
}
cerr << "deleting previous frame" << endl;
if (_previousFrame)
delete _previousFrame;
cerr << "deleting blob frame" << endl;
delete blob;
cerr << "bookkeeping update" << endl;
_previousSensingFrameNode = sensingFrame;
_previousFrame = frame;
_counter++;
cerr << "END ITERATION" << endl;
}
