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BioTrackerTrackingAlgorithm.cpp
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233 lines (188 loc) · 8.24 KB
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#include "BioTrackerTrackingAlgorithm.h"
#include <future>
#include "TrackedComponents/TrackedComponentFactory.h"
#include <chrono>
BioTrackerTrackingAlgorithm::BioTrackerTrackingAlgorithm(IController *parent, IModel* parameter, IModel* trajectory)
: IModelTrackingAlgorithm(parent)
, _ipp((TrackerParameter*)parameter)
{
_cfg = static_cast<ControllerTrackingAlgorithm*>(parent)->getConfig();
_TrackingParameter = (TrackerParameter*)parameter;
_TrackedTrajectoryMajor = (BST::TrackedTrajectory*)trajectory;
_nn2d = std::make_shared<NN2dMapper>(_TrackedTrajectoryMajor);
_bd = BlobsDetector();
_noFish = -1;
if (_cfg->DoNetwork) {
_listener = new TcpListener(this);
_listener->listen(QHostAddress::Any, _cfg->NetworkPort);
QObject::connect(_listener, SIGNAL(newConnection()), _listener, SLOT(acceptConnection()));
}
_lastImage = nullptr;
_lastFramenumber = -1;
}
void BioTrackerTrackingAlgorithm::receiveAreaDescriptorUpdate(IModelAreaDescriptor *areaDescr) {
_AreaInfo = areaDescr;
_bd.setAreaInfo(_AreaInfo);
}
BioTrackerTrackingAlgorithm::~BioTrackerTrackingAlgorithm()
{
}
std::vector<FishPose> BioTrackerTrackingAlgorithm::getLastPositionsAsPose() {
//TODO: This seems kinda fragile: I just assume that the tree has this very certain structure:
// Trajectory -> M Trajectories -> N TrackedElements
// For every of M Trajectories grab the last (highest index) of TrackedElements.
//TODO: If we are tracking somewhere in the middle, this is bad. Do it by id!
std::vector<FishPose> last;
for (int i = 0; i < _TrackedTrajectoryMajor->size(); i++) {
BST::TrackedTrajectory *t = dynamic_cast<BST::TrackedTrajectory *>(_TrackedTrajectoryMajor->getChild(i));
if (t && t->getValid() && !t->getFixed()) {
BST::TrackedElement *e = (BST::TrackedElement *)t->getLastChild();
last.push_back(e->getFishPose());
}
}
return last;
}
void BioTrackerTrackingAlgorithm::refreshPolygon() {
}
void BioTrackerTrackingAlgorithm::receiveParametersChanged() {
if (_lastFramenumber >= 0 && _lastImage && !_lastImage->empty()) {
doTracking(_lastImage, _lastFramenumber);
}
}
void BioTrackerTrackingAlgorithm::sendSelectedImage(std::map<std::string, std::shared_ptr<cv::Mat>> *images) {
std::shared_ptr<cv::Mat> sendImage;
//Send forth whatever the user selected
switch (_TrackingParameter->getSendImage()) {
case 0: //Send none
//sendImage = images.find(std::string("Original"))->second;
//Q_EMIT emitCvMatA(sendImage, QString("Original"));
Q_EMIT emitChangeDisplayImage("Original");
break;
case 1:
sendImage = images->find(std::string("Binarized"))->second;
Q_EMIT emitCvMatA(sendImage, QString("Binarized"));
Q_EMIT emitChangeDisplayImage(QString("Binarized"));
break;
case 2:
sendImage = images->find(std::string("Eroded"))->second;
Q_EMIT emitCvMatA(sendImage, QString("Eroded"));
Q_EMIT emitChangeDisplayImage(QString("Eroded"));
break;
case 3:
sendImage = images->find(std::string("Dilated"))->second;
Q_EMIT emitCvMatA(sendImage, QString("Dilated"));
Q_EMIT emitChangeDisplayImage(QString("Dilated"));
break;
case 4:
sendImage = images->find(std::string("Difference"))->second;
Q_EMIT emitCvMatA(sendImage, QString("Difference"));
Q_EMIT emitChangeDisplayImage(QString("Difference"));
break;
case 5:
sendImage = images->find(std::string("Background"))->second;
Q_EMIT emitCvMatA(sendImage, QString("Background"));
Q_EMIT emitChangeDisplayImage(QString("Background"));
break;
}
}
std::vector<BlobPose> BioTrackerTrackingAlgorithm::getContourCentroids(cv::Mat& image, int minSize){
std::vector<std::vector<cv::Point> > contours;
std::vector<cv::Vec4i> hierarchy;
std::vector<BlobPose> centroids;
findContours( image, contours, hierarchy, cv::RETR_TREE, cv::CHAIN_APPROX_SIMPLE, cv::Point(0, 0) );
for(auto x: contours){
cv::Point2f c(0,0);
float i=0;
for(auto y: x){
c += cv::Point2f(y);
i++;
}
c.x = c.x / i;
c.y = c.y / i;
//cv::RotatedRect minEllipse;
cv::RotatedRect bb = minAreaRect( x );
//check if blob is in tracking area --> this can be optimized by checking earlier (only search blobs in tracking area)
if(!_AreaInfo->inTrackingArea(c)){
continue;
}
BlobPose bc(_AreaInfo->pxToCm(c), c, bb.angle, bb.size.width, bb.size.height);
centroids.push_back(bc);
}
return centroids;
}
#define EEE duration = std::chrono::duration_cast< std::chrono::milliseconds> (std::chrono::steady_clock::now() - startt); block++; std::cout << "Block " << block << ": " << duration.count() << std::endl;
#define SSS startt = std::chrono::steady_clock::now();
void BioTrackerTrackingAlgorithm::doTracking(std::shared_ptr<cv::Mat> p_image, uint framenumber)
{
//Q_EMIT emitCvMatA(p_image, QString("Original"));
//Q_EMIT emitChangeDisplayImage("Original");
//Q_EMIT emitTrackingDone(framenumber);
//return;
int block = 0;
_ipp.m_TrackingParameter = _TrackingParameter;
_lastImage = p_image;
_lastFramenumber = framenumber;
//dont do nothing if we ain't got an image
if (p_image->empty()) {
return;
}
if (_imageX != p_image->size().width || _imageY != p_image->size().height) {
_imageX = p_image->size().width;
_imageY = p_image->size().height;
Q_EMIT emitDimensionUpdate(_imageX, _imageY);
}
std::chrono::system_clock::time_point start = std::chrono::system_clock::now();
//Refuse to run tracking if we have no area info...
if (_AreaInfo == nullptr) {
Q_EMIT emitTrackingDone(framenumber);
return;
}
//The user changed the # of fish. Reset the history and start over!
if (_noFish != _TrackedTrajectoryMajor->validCount()) {
_noFish = _TrackedTrajectoryMajor->validCount();
//resetFishHistory(_noFish);
_nn2d = std::make_shared<NN2dMapper>(_TrackedTrajectoryMajor);
}
if (_TrackingParameter->getResetBackground()) {
_TrackingParameter->setResetBackground(false);
_ipp.resetBackgroundImage();
}
//Do the preprocessing
std::map<std::string, std::shared_ptr<cv::Mat>> images = _ipp.preProcess(p_image);
std::shared_ptr<cv::Mat> dilated = images.find(std::string("Dilated"))->second;
std::shared_ptr<cv::Mat> greyMat = images.find(std::string("Greyscale"))->second;
//Find blobs via ellipsefitting
_bd.setMaxBlobSize(_TrackingParameter->getMaxBlobSize());
_bd.setMinBlobSize(_TrackingParameter->getMinBlobSize());
//std::vector<BlobPose> blobs = _bd.getPoses(*dilated, *greyMat);
std::vector<BlobPose> blobs = getContourCentroids(*dilated, 111);
// Never switch the position of the trajectories. The NN2d mapper relies on this!
// If you mess up the order, add or remove some t, then create a new mapper.
std::vector<FishPose> fish = getLastPositionsAsPose();
//Find new positions using 2D nearest neighbor
std::tuple<std::vector<FishPose>, std::vector<float>> poses = _nn2d->getNewPoses(_TrackedTrajectoryMajor, framenumber, blobs);
//Insert new poses into data structure
int trajNumber = 0;
for (int i = 0; i < _TrackedTrajectoryMajor->size(); i++) {
BST::TrackedTrajectory *t = dynamic_cast<BST::TrackedTrajectory *>(_TrackedTrajectoryMajor->getChild(i));
if (t && t->getValid() && !t->getFixed()) {
BST::TrackedElement *e = new BST::TrackedElement(t, "n.a.", t->getId());
e->setFishPose(std::get<0>(poses)[trajNumber]);
e->setTime(start);
t->add(e, framenumber);
trajNumber++;
}
}
//Send forth new positions to the robotracker, if networking is enabled
if (_TrackingParameter->getDoNetwork()){
std::vector<FishPose> ps = std::get<0>(poses);
_listener->sendPositions(framenumber, ps, std::vector<cv::Point2f>(), start);
}
sendSelectedImage(&images);
//First the user still wants to see the original image, right?
if (framenumber==1) {
Q_EMIT emitChangeDisplayImage("Original");
}
std::string newSel = _TrackingParameter->getNewSelection();
Q_EMIT emitTrackingDone(framenumber);
}