void ComputeAndShowCamera( )
{
CLViewpoint result = psoSolver.SearchOptimal(solverTime, 0.999f, camLibCam, new List <CLCandidate> (), false, true);
Debug.Log("Satisfaction after " + psoSolver.iterations + " iterations: " + result.satisfaction [0] +
", best iteration: " + psoSolver.iterOfBest);
// update camera with found solution
camLibCam.updateCamera(result.psoRepresentation);
}
protected void StoreNewGlobalLeader(int leader)
{
CLViewpoint newLeaderViewpoint = new CLViewpoint();
CLCandidate leaderCandidate = new CLCandidate(candidateDimension);
leaderCandidate.bestEvaluation = candidates [leader].bestEvaluation;
leaderCandidate.bestPosition = candidates [leader].bestPosition;
leaderCandidate.evaluation = candidates [leader].evaluation;
leaderCandidate.inSearchSpace = candidates [leader].inSearchSpace;
leaderCandidate.leader = candidates [leader].leader;
newLeaderViewpoint.psoRepresentation = leaderCandidate.bestPosition;
newLeaderViewpoint.properties = new List <CLVisualProperty> (evaluator.properties);
newLeaderViewpoint.satisfaction = new List <float> (evaluator.properties.Count);
newLeaderViewpoint.inScreenRatio = new List <float> (evaluator.properties.Count);
foreach (CLVisualProperty p in newLeaderViewpoint.properties)
{
newLeaderViewpoint.satisfaction.Add(p.satisfaction);
newLeaderViewpoint.inScreenRatio.Add(p.inScreenRatio);
}
globalBestViewpoints.Add(newLeaderViewpoint);
}
//// <summary>
/// Returns the best found CLViewpoint given the allowed time in milliseconds,
/// the required satisfaction threshold in [0,1], a CLCameraMan for evaluating a
/// candidate satisfaction. If init is true, we start search from scratch, i.e. by
/// first initializing candidates; otherwise, we use the current candidates
/// </summary>
public CLViewpoint SearchOptimal(float _timeLimit, float _satisfactionThreshold, CLCameraMan _evaluator, List <CLCandidate> initialCandidates, bool checkGeometry = false, bool init = true)
{
//if init, initialize n candidates ( with r_part candidates randomly initialized )
beginTime = Time.realtimeSinceStartup;
elapsedTime = 0.0f;
timeLimit = _timeLimit / 1000.0f;
if (init)
{
rnd = new System.Random();
iterations = 0;
iterOfBest = 0;
this.evaluator = _evaluator;
this.maxSatisfaction = _satisfactionThreshold;
globalBestViewpoints = new List <CLViewpoint> ();
minSearchRange = evaluator.GetMinCameraParameters(candidateDimension);
maxSearchRange = evaluator.GetMaxCameraParameters(candidateDimension);
searchRanges = evaluator.GetParametersRange(candidateDimension);
averageRange = 0.0f;
for (int i = 0; i < candidateDimension; i++)
{
averageRange += searchRanges[i];
}
averageRange = averageRange / candidateDimension;
InitializeCandidates(initialCandidates);
InitSolverParameters(_timeLimit);
elapsedTime = Time.realtimeSinceStartup - beginTime;
}
if (elapsedTime > timeLimit)
{
exitCondition = 0;
}
else
{
exitCondition = 2;
}
while (DoAnotherIteration())
{
iterations++; // we start from 1
// execute loop body (dependent on method).
exitCondition = ExecuteSearchIteration();
}
//elaborate results and return best solution (access to other solutions should be provided)
// this is for handling the case where no optima have been found at all (e.g. not enough time)
if (globalBestViewpoints.Count == 0)
{
CLViewpoint noSolution = new CLViewpoint();
noSolution.satisfaction = new List <float>();
noSolution.properties = new List <CLVisualProperty> (evaluator.properties);
foreach (CLVisualProperty p in noSolution.properties)
{
noSolution.satisfaction.Add(-1.0f);
}
noSolution.psoRepresentation = new float[] { 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 60.0f };
globalBestViewpoints.Add(noSolution);
}
// this returns only one solution !!!!
return(globalBestViewpoints[globalBestViewpoints.Count - 1]);
}