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mindofargus.cpp
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mindofargus.cpp
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#include "mindofargus.h"
#define _GREEN 0
#define _BLUE 1
#define _RED 2
#define _YELLOW 3
#define _BLACK 4
#define _UNIT_UNSET 9
#define _UNIT_CM 10
#define _UNIT_IN 11
#define _COLOR_GREEN cv::Scalar(0, 255, 0)
#define _COLOR_BLUE cv::Scalar(255, 0, 0)
#define _COLOR_RED cv::Scalar(0, 0, 255)
#define _COLOR_YELLOW cv::Scalar(0, 255, 255)
#define _COLOR_BLACK cv::Scalar(0, 0, 0)
#define _COLOR_BNW 1
#define _COLOR_BGR 2
#define _COLOR_RGB 3
#define _VIEW_NORM 0
#define _VIEW_BASE 1
#define _VIEW_REFR 2
#define _VIEW_DIFF 3
#define _VIEW_SUBT 4
#define _CROP_NORM 0
#define _CROP_MASK 1
MindOfArgus::MindOfArgus()
{
cv::Ptr<cv::Tracker> tracker;
cv::getBuildInformation();
dimX = -1;
dimY = -1;
dimMode = _UNIT_UNSET;
taskDur = 0;
viewMode = _VIEW_NORM;
loaded = false;
playing = false;
playingCopy = false;
processing = false;
paused = false;
initialized = false;
resetting = false;
available = true;
waitingForUser = false;
userStopped = false;
refSet = false;
toiSelector = false;
roiSelector = false;
sensitivity = 45;
blurFactor = 3;
roiNumPoints = 4;
roiMaxNumber = 4;
roiSelected = -1;
toiNumPoints = 2;
toiMaxNumber = 4;
toiSelected = -1;
usrNumPoints = 0;
maskBlending = 0.15;
resizeRatio = 1;
xOffset = 0;
yOffset = 0;
pointer = new cv::Point(-1, -1);
roiPointer = new cv::Point(-1, -1);
toiPointer = new cv::Point(-1, -1);
totalDistance = new float[roiMaxNumber];
currentVelocity = new float[roiMaxNumber];
aveVelocity = new double[roiMaxNumber];
procFrames = new int[roiMaxNumber];
loggerFile = new std::ofstream[roiMaxNumber];
loggerName = new std::stringstream[roiMaxNumber];
roiSaved = new bool[roiMaxNumber];
region = new cv::Point*[roiMaxNumber];
colorROI = new cv::Scalar[roiMaxNumber];
for (int i = 0; i < roiMaxNumber; i++)
{
roiSaved[i] = false;
colorROI[i] = cv::Scalar(0, 0, 0);
region[i] = new cv::Point[roiNumPoints];
mouseInfo[i].reserve(100000);
for (int j = 0; j < roiNumPoints; j++)
region[i][j] = cv::Point(-1, -1);
totalDistance[i] = 0;
currentVelocity[i] = 0;
procFrames[i] = 0;
aveVelocity[i] = 0;
}
toiSaved = new bool[toiMaxNumber];
toiStart = new int[toiMaxNumber];
tracki = new cv::Point*[toiMaxNumber];
processCenter = new cv::Point[toiMaxNumber];
currentPoint = new cv::Point[toiMaxNumber];
previousPoint = new cv::Point[toiMaxNumber];
for (int i = 0; i < toiMaxNumber; i ++)
{
toiSaved[i] = false;
toiStart[i] = -1;
tracki[i] = new cv::Point[toiNumPoints];
processCenter[i].x = -1;
processCenter[i].y = -1;
currentPoint[i].x = -1;
currentPoint[i].y = -1;
previousPoint[i].x = -1;
previousPoint[i].y = -1;
for (int j = 0; j < toiNumPoints; j++)
tracki[i][j] = cv::Point(-1, -1);
}
argusTimer = new QTimer();
connect(argusTimer, SIGNAL(timeout()), this, SLOT(nextFrame()));
}
MindOfArgus::~MindOfArgus()
{
}
bool MindOfArgus::isPlaying()
{
return playing;
}
bool MindOfArgus::isProcessing()
{
return processing;
}
bool MindOfArgus::isLoaded()
{
return loaded;
}
bool MindOfArgus::isPaused()
{
return paused;
}
int MindOfArgus::getCurrentFrame()
{
return currFrame;
}
int MindOfArgus::getCurrentSensitivity()
{
return sensitivity;
}
int MindOfArgus::getCurrentBlurFactor()
{
return blurFactor;
}
void MindOfArgus::applyImageProcessing()
{
cv::cvtColor(baseFrame, diffFrame, cv::COLOR_BGR2GRAY);
cv::GaussianBlur(diffFrame, diffFrame, cv::Size(blurFactor, blurFactor), 0);
cv::dilate(diffFrame, diffFrame, 2);
cv::absdiff(diffFrame, refFrame, diffFrame);
cv::threshold(diffFrame, subtFrame, sensitivity, 255, cv::THRESH_BINARY);
}
void MindOfArgus::processSpecificImage(cv::Mat& image)
{
cv::Mat& tImage = const_cast<cv::Mat&>(image);
cv::cvtColor(tImage, tImage, cv::COLOR_BGR2GRAY);
cv::GaussianBlur(tImage, tImage, cv::Size(blurFactor, blurFactor), 0);
cv::dilate(tImage, tImage, 2);
cv::absdiff(tImage, refFrame, tImage);
cv::threshold(tImage, tImage, sensitivity, 255, cv::THRESH_BINARY);
}
void MindOfArgus::applySelectorMask()
{
if (roiSelector)
{
if (usrNumPoints > 0 && usrNumPoints < roiNumPoints)
{
cv::Point *tempP = new cv::Point[usrNumPoints+1];
for (int i = 0; i < usrNumPoints; i++)
tempP[i] = region[roiSelected][i];
tempP[usrNumPoints] = cv::Point(pointer->x, pointer->y);
fillConvexPoly(viewFrame, tempP, usrNumPoints+1, colorROI[roiSelected]);
delete tempP;
}
else if (usrNumPoints == 4)
{
fillConvexPoly(viewFrame, region[roiSelected], usrNumPoints, colorROI[roiSelected]);
}
if (pointer->x != -1)
{
circle(viewFrame, *pointer, 10, colorROI[roiSelected], cv::FILLED);
}
}
else if (toiSelector)
{
if (usrNumPoints > 0 && usrNumPoints < toiNumPoints)
{
cv::Point tempP1 = cv::Point(tracki[toiSelected][0]);
cv::Point tempP2 = cv::Point(pointer->x, pointer->y);
rectangle(viewFrame, tempP1, tempP2, colorROI[toiSelected]);
//delete tempP;
}
else if (usrNumPoints == toiNumPoints)
{
rectangle(viewFrame, tracki[toiSelected][0], tracki[toiSelected][1], colorROI[toiSelected]);
}
if (pointer->x != -1)
{
circle(viewFrame, *pointer, 15, _COLOR_BLACK, cv::FILLED);
circle(viewFrame, *pointer, 10, colorROI[toiSelected], cv::FILLED);
}
}
}
void MindOfArgus::applyAllSavedMask()
{
cv::Mat cloned;
cv::Mat result;
baseFrame.copyTo(cloned);
bool wasMasked = false;
for (int i = 0; i < roiMaxNumber; i++)
{
if (roiSaved[i])
{
fillConvexPoly(cloned, region[i], roiNumPoints, colorROI[i]);
wasMasked = true;
}
//addWeighted(baseFrame, 0.75, cloned, 0.25, 0, viewFrame);
//cv::imshow("test2", viewFrame);
//cv::imshow("test1", cloned);
}
if (wasMasked)
addWeighted(baseFrame, 1-maskBlending, cloned, maskBlending, 0, viewFrame);
for (int i = 0; i < toiMaxNumber; i++)
{
if (toiSaved[i])
{
cv::Point p1 = cv::Point(tracki[i][0].x, tracki[i][0].y);
cv::Point p2 = cv::Point(tracki[i][1].x, tracki[i][1].y);
rectangle(viewFrame, p1, p2, _COLOR_BLACK, 4);
rectangle(viewFrame, p1, p2, colorROI[i], 2);
}
}
}
void MindOfArgus::applyProcessingMask()
{
for (int i = 0; i < roiMaxNumber; i++)
{
if (processCenter[i].x > 0 && processCenter[i].y >0)
{
circle(viewFrame, processCenter[i], 4, colorROI[i], -1);
}
}
}
void MindOfArgus::startVideo()
{
if (loaded & !playing & !paused)
{
playing = true;
video.set(cv::CAP_PROP_POS_FRAMES, 1);
currFrame = 1;
argusTimer->setInterval(interTimer);
argusTimer->start();
}
else if (loaded & !playing & paused)
{
playing = true;
paused = false;
argusTimer->start();
}
}
void MindOfArgus::pauseVideo()
{
playing = false;
paused = true;
argusTimer->stop();
}
void MindOfArgus::stopVideo()
{
viewMode = _VIEW_NORM;
toiSelector = false;
roiSelector = false;
roiNumPoints = 0;
toiNumPoints = 0;
usrNumPoints = 0;
resizeRatio = 1;
pointer = new cv::Point(-1, -1);
for (int i = 0; i < roiMaxNumber; i++)
{
if(loggerFile[i].is_open())
loggerFile[i].close();
}
video.release();
this->resetAll();
while(resetting)
{
}
playing = false;
paused = false;
processing = false;
loaded = false;
//this->showHomeScreen();
//emit updateGUI(-1);
}
void MindOfArgus::videoChange()
{
std::cout << "hello" << std::endl;
}
//Public SLOTS for QT
void MindOfArgus::viewChanged_Norm()
{
viewMode = _VIEW_NORM;
if (loaded)
this->sendCurrentView();
}
void MindOfArgus::viewChanged_Base()
{
viewMode = _VIEW_BASE;
if (loaded)
this->sendCurrentView();
}
void MindOfArgus::viewChanged_Reff()
{
viewMode = _VIEW_REFR;
if (loaded)
this->sendCurrentView();
}
void MindOfArgus::viewChanged_Diff()
{
viewMode = _VIEW_DIFF;
if (loaded)
this->sendCurrentView();
}
void MindOfArgus::viewChanged_Subt()
{
viewMode = _VIEW_SUBT;
if (loaded)
this->sendCurrentView();
}
void MindOfArgus::sensitivityChanged(int val)
{
sensitivity = val;
if (loaded && refSet)
{
this->applyImageProcessing();
this->sendCurrentView();
}
}
void MindOfArgus::blurFactorChanged(int val)
{
blurFactor = val;
if (loaded && refSet)
{
this->applyImageProcessing();
this->sendCurrentView();
}
}
void MindOfArgus::videoSync(QString qstr)
{
vidDir = qstr.toStdString();
video.open(vidDir);
if (video.isOpened())
{
loaded = true;
frameRate = video.get(cv::CAP_PROP_FPS);
totalFrames = int(video.get(cv::CAP_PROP_FRAME_COUNT));
resoHeight = int(video.get(cv::CAP_PROP_FRAME_HEIGHT));
resoWidth = int(video.get(cv::CAP_PROP_FRAME_WIDTH));
currFrame = 1;
if (resoWidth == 1280 && resoHeight == 1024)
{
xOffset = (1920/2) - (1280/2);
yOffset = (1080/2) - (1024/2);
resizeRatio = 2;
}
else if (resoWidth == 1920 && resoHeight == 1080)
{
xOffset = 0;
yOffset = 0;
resizeRatio = 2;
}
//resizeRatio = resoHeight/540 + (resoHeight%540 != 0);
video.read(baseFrame);
baseFrame.copyTo(viewFrame);
baseFrame.copyTo(refFrame);
cv::cvtColor(refFrame, refFrame, cv::COLOR_BGR2GRAY);
//baseFrame.copyTo(diffFrame);
interTimer = (1/frameRate)*1000;
emit sendSight(baseFrame, _COLOR_BGR);
}
else
{
frameRate = -1;
totalFrames = -1;
resoHeight = -1;
resoWidth = -1;
}
emit videoSynced(frameRate, totalFrames, resoWidth, resoHeight);
}
void MindOfArgus::frameChanged(int frameNum)
{
if (frameNum != (currFrame + 1))
{
video.set(cv::CAP_PROP_POS_FRAMES, frameNum);
}
video.set(cv::CAP_PROP_POS_FRAMES, frameNum);
video.read(baseFrame);
std::cout<<"video frame changed?"<<std::endl;
this->sendCurrentView();
currFrame = frameNum;
}
void MindOfArgus::nextFrame()
{
video >> baseFrame;
this->sendCurrentView();
currFrame++;
if(currFrame > totalFrames)
{
//argusTimer->stop();
playing = false;
}
std::cout<<"video next frame loop?"<<std::endl;
emit updateGUI(currFrame);
}
void MindOfArgus::playVideoLoop()
{
if(loaded)
{
int stFr = currFrame;
playing = true;
while(playing & !processing)
{
nextFrame();
std::cout<<"video playing loop?"<<std::endl;
if (currFrame >= totalFrames)
playing = false;
}
}
}
void MindOfArgus::pauseVideoLoop()
{
if(loaded)
{
playing = false;
}
}
void MindOfArgus::setRefImage(int frMode)
{
int numFramesToAverage = 200;
int frameDivider = 1;
//If 1, use whole video. If 2, then only uses first half of video, etc.
if (frMode < 0)
{
int frameJump = ((totalFrames/frameDivider)-1) / numFramesToAverage;
int frameNow = video.get(cv::CAP_PROP_POS_FRAMES);
QProgressDialog *progBar = new QProgressDialog("Calculating Average Reference Frame", "Cancel", 0, totalFrames);
progBar->setWindowModality(Qt::WindowModal);
// Put in average reference image algorithm here, when possible
video.set(cv::CAP_PROP_POS_FRAMES, 1);
double alpha = 0.01;
cv::Mat tempSrc;
video.read(tempSrc);
cv::Mat tempDst = cv::Mat::zeros(tempSrc.size(), CV_32FC3); //tempSrc.clone();
available = false;
for (int i = 1+frameJump; i < totalFrames/frameDivider; i += frameJump)
{
video.set(cv::CAP_PROP_POS_FRAMES, i);
video.read(tempSrc);
//cv::cvtColor(temp, temp, cv::COLOR_BGR2GRAY);
cv::accumulateWeighted(tempSrc, tempDst, alpha);
if (progBar->wasCanceled())
break;
progBar->setValue(i);
std::cout<<"i = "<<i<<std::endl;
}
available = true;
cv::Mat finalRes;
cv::convertScaleAbs(tempDst, finalRes);
cv::cvtColor(finalRes, refFrame, cv::COLOR_BGR2GRAY);
video.set(cv::CAP_PROP_POS_FRAMES, frameNow);
delete progBar;
}
else if (frMode > 0)
{
if (frMode != currFrame)
{
int tf = currFrame;
video.set(cv::CAP_PROP_POS_FRAMES, frMode);
video.read(refFrame);
cv::cvtColor(refFrame, refFrame, cv::COLOR_BGR2GRAY);
video.set(cv::CAP_PROP_POS_FRAMES, tf);
}
else
{
baseFrame.copyTo(refFrame);
cv::cvtColor(refFrame, refFrame, cv::COLOR_BGR2GRAY);
}
//cv::imshow("test", refFrame);
}
refSet = true;
this->applyImageProcessing();
std::cout<<"Sender:: new ref assigned"<<std::endl;
this->sendCurrentView();
}
void MindOfArgus::startROISelector(int roiNumber, int colorSelect)
{
toiSelector = false;
roiSelector = true;
roiSaved[roiNumber] = false;
roiSelected = roiNumber;
usrNumPoints = 0;
switch (colorSelect)
{
case _GREEN:
colorROI[roiNumber] = _COLOR_GREEN;
break;
case _RED:
colorROI[roiNumber] = _COLOR_RED;
break;
case _BLUE:
colorROI[roiNumber] = _COLOR_BLUE;
break;
case _YELLOW:
colorROI[roiNumber] = _COLOR_YELLOW;
break;
}
}
void MindOfArgus::saveROISelector(int roiNumber)
{
bool notFinished = false;
if (loaded)
{
for (int i = 0; i < roiNumPoints; i++)
{
if(region[roiNumber][i].x == -1)
{
notFinished = true;
break;
}
}
if (!notFinished)
{
roiSaved[roiNumber] = true;
roiSelector = false;
roiSelected = -1;
usrNumPoints = 0;
if (toiSaved[roiNumber])
emit openField_expChange(roiNumber, true);
std::cout<<"Sender:: New ROI Assigned"<<std::endl;
this->sendCurrentView();
}
else
{
emit openField_expChange(roiNumber, false);
std::cout << "ERROR: ROI has not been saved, it is not done being initialized" << std::endl;
}
}
else
{
std::cout<< "ERROR: ROI has not been saved. No video currently loaded." << std::endl;
}
}
void MindOfArgus::cancelROISelector(int roiNumber)
{
if (roiSelector)
{
roiSelector = false;
roiSelected = -1;
//roiNumPoints = 0;
usrNumPoints = 0;
pointer->x = -1;
pointer->y = -1; //= new cv::Point(-1, -1);
if (!roiSaved[roiNumber])
{
region[roiNumber] = new cv::Point[roiNumPoints]{cv::Point(-1, -1)};
}
std::cout<<"Sender:: New ROI Canceled"<<std::endl;
this->sendCurrentView();
}
}
void MindOfArgus::removeROISaved(int roiNumber)
{
if (roiSaved[roiNumber])
{
region[roiNumber] = new cv::Point[roiNumPoints];
for (int i = 0; i < roiNumPoints; i++)
region[roiNumber][i] = cv::Point(-1, -1);
roiSaved[roiNumber] = false;
emit openField_expChange(roiNumber, false);
std::cout<<"Sender:: New ROI Removed"<<std::endl;
this->sendCurrentView();
}
}
void MindOfArgus::roiSetColor(int roiNumber, int colorSelect)
{
switch (colorSelect)
{
case _GREEN:
colorROI[roiNumber] = _COLOR_GREEN;
break;
case _RED:
colorROI[roiNumber] = _COLOR_RED;
break;
case _BLUE:
colorROI[roiNumber] = _COLOR_BLUE;
break;
case _YELLOW:
colorROI[roiNumber] = _COLOR_YELLOW;
break;
}
if (loaded)
{
std::cout<<"Sender:: ROI Color Changed"<<std::endl;
this->sendCurrentView();
}
}
void MindOfArgus::startTOISelector(int toiNumber, int colorSelect)
{
roiSelector = false;
toiSelector = true;
toiSelected = toiNumber;
usrNumPoints = 0;
switch (colorSelect)
{
case _GREEN:
colorROI[toiNumber] = _COLOR_GREEN;
break;
case _RED:
colorROI[toiNumber] = _COLOR_RED;
break;
case _BLUE:
colorROI[toiNumber] = _COLOR_BLUE;
break;
case _YELLOW:
colorROI[toiNumber] = _COLOR_YELLOW;
break;
}
//if (waitingForUser)
// waitingForUser = false;
}
void MindOfArgus::saveTOISelector(int toiNumber)
{
bool notFinished = false;
if (loaded)
{
for (int i = 0; i < toiNumPoints; i++)
{
if(tracki[toiNumber][i].x == -1)
{
notFinished = true;
break;
}
}
if (!notFinished)
{
toiSaved[toiNumber] = true;
toiSelector = false;
toiSelected = -1;
usrNumPoints = 0;
if (roiSaved[toiNumber])
emit openField_expChange(toiNumber, true);
toiStart[toiNumber] = currFrame;
emit trackerInfo_Frame(currFrame, toiNumber);
this->sendCurrentView();
if (waitingForUser)
waitingForUser = false;
}
else
{
emit openField_expChange(toiNumber, false);
std::cout << "ERROR: TOI has not been saved, it is not done being initialized" << std::endl;
}
}
else
{
std::cout<< "ERROR: TOI has not been saved. No video currently loaded." << std::endl;
}
}
void MindOfArgus::cancelTOISelector(int toiNumber)
{
if (toiSelector)
{
toiSelector = false;
toiSelected = -1;
usrNumPoints = 0;
pointer->x = -1;
pointer->y = -1; //= new cv::Point(-1, -1);
if (!toiSaved[toiNumber])
{
tracki[toiNumber] = new cv::Point[toiNumPoints];
for (int i = 0; i < toiNumPoints; i++)
tracki[toiNumber][i] = cv::Point(-1, -1);
}
this->sendCurrentView();
}
}
void MindOfArgus::removeTOISaved(int toiNumber)
{
if (toiSaved[toiNumber])
{
toiStart[toiNumber] = -1;
emit trackerInfo_Frame(-1, toiNumber);
tracki[toiNumber] = new cv::Point[toiNumPoints];
for (int i = 0; i < toiNumPoints; i++)
tracki[toiNumber][i] = cv::Point(-1, -1);
toiSaved[toiNumber] = false;
emit openField_expChange(toiNumber, false);
this->sendCurrentView();
}
}
void MindOfArgus::receiveOF_BoxDims(double bx, double by, int unitMode)
{
dimX = bx;
dimY = by;
dimMode = unitMode;
}
void MindOfArgus::receiveOF_TaskDur(int tdur, int idur)
{
taskDur = tdur;
ignoreDur = idur;
std::cout<<"hello??"<<std::endl;
std::cout<<taskDur<<", "<<ignoreDur<<std::endl;
}
void MindOfArgus::resetAll()
{
resetting = true;
toiSelector = false;
roiSelector = false;
refSet = false;
roiNumPoints = 4;
roiMaxNumber = 4;
roiSelected = -1;
toiNumPoints = 2;
toiMaxNumber = 4;
toiSelected = -1;
usrNumPoints = 0;
for (int i = 0; i < roiMaxNumber; i++)
{
roiSaved[i] = false;
region[i] = new cv::Point[roiNumPoints];
for (int j = 0; j < roiNumPoints; j++)
region[i][j] = cv::Point(-1, -1);
emit openField_expChange(i, false);
}
for (int i = 0; i < toiMaxNumber; i ++)
{
toiSaved[i] = false;
toiStart[i] = -1;
tracki[i] = new cv::Point[toiNumPoints];
for (int j = 0; j < toiNumPoints; j++)
tracki[i][j] = cv::Point(-1, -1);
}
resetting = false;
}
void MindOfArgus::exp_initOF()
{
if (dimMode == _UNIT_UNSET)
{
std::cout<<"ERROR: Dimensions appear to be unset"<<std::endl;
return;
}
else if (dimX < 0 || dimY < 0)
{
std::cout<<"ERROR: Dimensions values are invalid and can not be used"<<std::endl;
return;
}
else if (taskDur <= 0 || ignoreDur < 0)
{
std::cout<<"ERROR: Task Length Metrics not assigned"<<std::endl;
return;
}
//loggerName = "testResults.txt";
//loggerFile.open(loggerName);
minStart = totalFrames;
minIndex = 0;
for(int i = 0; i < roiMaxNumber; i++)
{
if(toiSaved[i])
{
if(i > minIndex)
minIndex = i;
if(toiStart[i] < minStart)
minStart = toiStart[i];
}
}
minIndex++;
std::cout << "minStart is:"<<minStart<<std::endl;
trackObj = new cv::Ptr<cv::Tracker>[minIndex];
cv::Rect bbox[minIndex];
isGood = new bool[minIndex];
for(int i = 0; i < minIndex; i++)
{
processCenter[i].x = -1;
processCenter[i].y = -1;
currentPoint[i].x = -1;
currentPoint[i].y = -1;
previousPoint[i].x = -1;
previousPoint[i].y = -1;
//if (assert(loggerName[i].str().empty()))
if (loggerName[i].str().empty())
loggerName[i] << "textFile_" << i<<".txt";
loggerFile[i].open(loggerName[i].str());
loggerFile[i]<<"STARTING OPEN-FIELD ANALYSIS"<<std::endl<<std::endl;
totalDistance[i] = 0;
currentVelocity[i] = 0;
aveVelocity[i] = 0;
procFrames[i] = 0;
isGood[i] = true;
//isGood[i] = true;
video.set(cv::CAP_PROP_POS_FRAMES, toiStart[i]);
//cv::Mat tempA;
//video.read(tempA);
cv::Mat tempA;
cv::Mat tempT;
cv::Mat tempC;
video.read(tempA);
cv::Mat tempF = cv::Mat::zeros(baseFrame.rows, baseFrame.cols, CV_8U);
fillConvexPoly(tempF, region[i], roiNumPoints, cv::Scalar(255));
//this->processSpecificImage(tempA);
tempA.copyTo(tempT, tempF);
refFrame.copyTo(tempC, tempF);
cv::cvtColor(tempT, tempT, cv::COLOR_BGR2GRAY);
cv::GaussianBlur(tempT, tempT, cv::Size(blurFactor, blurFactor), 0);
cv::dilate(tempT, tempT, 2);
cv::absdiff(tempT, tempC, tempT);
cv::threshold(tempT, tempT, sensitivity, 255, cv::THRESH_BINARY);
//cv::imshow("TempT01", tempT);
cv::cvtColor(tempT, tempT, cv::COLOR_GRAY2BGR);
//cv::imshow("tempT02", tempT);
//cv::waitKey(0);
bbox[i] = cv::Rect(tracki[i][0], tracki[i][1]);
//if (i == 0)
trackObj[i] = cv::TrackerKCF::create();
//trackObj[i]->init(tempA, bbox[i]);
trackObj[i]->init(tempT, bbox[i]);
mouseInfo[i].clear();
mouseInfo[i].reserve(totalFrames - toiStart[i]);
}
initialized = true;
std::cout <<"OpenField initiated successfully"<<std::endl;
}
void MindOfArgus::exp_startOF()
{
if (!initialized)
{
std::cout<<"ERROR: Please successfully initialize the experiment first"<<std::endl;
return;
}
video.set(cv::CAP_PROP_POS_FRAMES, minStart);
currFrame = minStart;
processing = true;
playing = true;
//bool isGood[minIndex];
//isGood = new bool[minIndex];
bool allGood = true;
cv::Rect bbox[minIndex];
available = false;
while(processing)
{
if (playing)
{
cv::Mat prevFrame;
baseFrame.copyTo(prevFrame);
video >> baseFrame;
currFrame++;
if (currFrame >= (totalFrames))
{
playing = false;
processing = false;
break;
}
cv::Mat baseTemp, prevTemp;
cv::cvtColor(baseFrame, baseTemp, cv::COLOR_BGR2GRAY);
cv::cvtColor(prevFrame, prevTemp, cv::COLOR_BGR2GRAY);
double normDiff = cv::norm(baseTemp, prevTemp, cv::NORM_L1);