void ImageAnalysis::AnalysisImage(IplImage *nw)
{
double minx,maxy,maxx,miny,time;
IplImage* rf=cvCreateImage(cvSize(720,576),nw->depth,nw->nChannels);
IplImage* prevrf=cvCreateImage(cvSize(720,576),prev->depth,prev->nChannels);
cvCopy(nw,rf);
cvCopy(prev,prevrf);
time=clock();
for(int i=0;i<ZoneNum;i++)
{
minx=fmin(fmin(ParkRegionCoord[i][0].x,ParkRegionCoord[i][1].x),fmin(ParkRegionCoord[i][2].x,ParkRegionCoord[i][3].x));
maxy=fmax(fmax(ParkRegionCoord[i][0].y,ParkRegionCoord[i][1].y),fmax(ParkRegionCoord[i][2].y,ParkRegionCoord[i][3].y));
miny=fmin(fmin(ParkRegionCoord[i][0].y,ParkRegionCoord[i][1].y),fmin(ParkRegionCoord[i][2].y,ParkRegionCoord[i][3].y));
maxx=fmax(fmax(ParkRegionCoord[i][0].x,ParkRegionCoord[i][1].x),fmax(ParkRegionCoord[i][2].x,ParkRegionCoord[i][3].x));
cvSetImageROI(rf,cvRect(minx,miny,maxx-minx,maxy-miny));
cvSetImageROI(prevrf,cvRect(minx,miny,maxx-minx,maxy-miny));
rf=maskImage(rf,i);
prevrf=maskImage(prevrf,i);
HashCompare(rf,prevrf);
MakeDecision(HashCompare(rf,prevrf),HistogramCompare(rf,prevrf),ImageDiff(rf,prevrf),i);
cvResetImageROI(prevrf);
cvResetImageROI(rf);
cvCopy(nw,rf);
cvCopy(prev,prevrf);
}
cvReleaseImage(&rf);
cvReleaseImage(&prevrf);
cvCopy(nw,prev);//болван, незабывай, что в opencv копируется указатель, если не делать cvCopy
qDebug()<<"Time to compute:"<<(clock()-time)/CLOCKS_PER_SEC;
}
/*
* Use Monte Carlo simulation to determine the best action to take
* ai: the AI that is predicting the best action
* return: a string representation of the best action to take
*/
char *GetBestAction(PokerAI *ai)
{
double winprob;
double potodds;
double expectedgain;
ai->games_won = 0;
ai->games_simulated = 0;
//Set the pot odds
if (ai->game.call_amount > 0)
{
potodds = (double) ai->game.call_amount / (ai->game.call_amount + ai->game.current_pot);
}
else
{
//There is nothing to be lost by calling
potodds = 1.0 / ai->game.num_playing;
}
//Set the rate of return
winprob = GetWinProbability(ai);
expectedgain = winprob / potodds;
if (ai->loglevel >= LOGLEVEL_INFO)
{
fprintf(ai->logfile, "Win probability: %.2lf%%\n", winprob * 100);
fprintf(ai->logfile, "Rate of return: %.2lf\n", expectedgain);
}
ai->action.winprob = winprob;
ai->action.expectedgain = expectedgain;
MakeDecision(ai);
return ActionGetString(&ai->action);
}
/*******************************************************************
* Function Name: Check_if_Cntr_Carry
* Return Type : int
* Created On : Jul 26, 2013
* Created By : hrushi
* Comments : Checks if the given contour is a carry region
* Arguments : const Contour& Ctr
*******************************************************************/
CarryContour DetectByPose::Check_if_Cntr_Carry( const Contour& Ctr, double& dLike ) const
{
CarryContour RetCtr = Ctr;
vector<double> lArmScore, rArmScore;
pr_score LeftArm_Score = isArmCarry("lArm", Ctr, lArmScore);
pr_score RightArm_Score = isArmCarry("rArm", Ctr, rArmScore);
vector<double> vAllScores;
std::copy(lArmScore.begin(), lArmScore.end(), std::back_inserter(vAllScores));
std::copy(rArmScore.begin(), rArmScore.end(), std::back_inserter(vAllScores));
pr_score FinalSore = MakeDecision(LeftArm_Score, RightArm_Score);
RetCtr.SetCarryTypeNScore(FinalSore.first, FinalSore.second);
RetCtr.SetAllScores(vAllScores);
return RetCtr;
}
void Enermy::action()
{
bool b = Collision();
MakeDecision(b);
Catch();
}
