public void NextFrame(int frameNo, IAstroImage astroImage)
{
m_NativeTrackedObject.ForEach(x => x.NextFrame());
uint[] pixels = astroImage.GetPixelmapPixels();
IsTrackedSuccessfully = NativeTracking.TrackNextFrame(frameNo, pixels, m_NativeTrackedObject);
}
public bool InitializeNewTracking(IAstroImage astroImage)
{
m_StarMapConfig = new StarMapInternalConfig(StarMapInternalConfig.Default);
m_StarMapConfig.CustomMaxSignalValue = astroImage.GetPixelmapPixels().Max();
m_StarMapConfig.CustomOptimumStarsValue = 25;
m_StarMapConfig.IsFITSFile = true;
StarMap starMap = new StarMap();
starMap.FindBestMap(
m_StarMapConfig,
(AstroImage)astroImage,
Rectangle.Empty,
new Rectangle(0, 0, astroImage.Width, astroImage.Height),
AstrometryContext.Current.LimitByInclusion);
if (starMap.Features.Count < 10)
{
MessageBox.Show("Cannot initialize object tracking as less than 10 stars can be identified in the field");
return(false);
}
// Build a signature of the largest 10 features (pivots)
m_PivotDistances.Clear();
for (int i = 0; i < 10; i++)
{
m_PivotDistances.Add(new List <double>(UNINITIALIZED_DISTANCES));
}
double fwhmSum = 0;
int fwhmCount = 0;
starMap.Features.Sort((x, y) => y.PixelCount.CompareTo(x.PixelCount));
for (int i = 0; i < 10; i++)
{
var feature_i = starMap.Features[i];
for (int j = i + 1; j < 10; j++)
{
var feature_j = starMap.Features[j];
double distance = feature_j.GetCenter().DistanceTo(feature_i.GetCenter());
m_PivotDistances[i][j] = distance;
m_PivotDistances[j][i] = distance;
}
int x0 = feature_i.GetCenter().X;
int y0 = feature_i.GetCenter().Y;
PSFFit fit = new PSFFit((int)x0, (int)y0);
uint[,] data = ((AstroImage)astroImage).GetMeasurableAreaPixels((int)x0, (int)y0);
fit.Fit(data);
if (fit.IsSolved)
{
fwhmSum += fit.FWHM;
fwhmCount++;
}
}
m_FWHMAverage = (float)(fwhmSum / fwhmCount);
for (int i = 0; i < m_TrackedObjects.Count; i++)
{
m_TrackedObjectsPivotDistancesX[i] = new List <double>();
m_TrackedObjectsPivotDistancesY[i] = new List <double>();
for (int j = 0; j < 10; j++)
{
m_TrackedObjectsPivotDistancesX[i].Add(m_TrackedObjects[i].Center.XDouble - starMap.Features[j].GetCenter().XDouble);
m_TrackedObjectsPivotDistancesY[i].Add(m_TrackedObjects[i].Center.YDouble - starMap.Features[j].GetCenter().YDouble);
}
int x0 = m_TrackedObjects[i].Center.X;
int y0 = m_TrackedObjects[i].Center.Y;
PSFFit fit = new PSFFit((int)x0, (int)y0);
uint[,] data = ((AstroImage)astroImage).GetMeasurableAreaPixels((int)x0, (int)y0);
fit.Fit(data);
if (fit.IsSolved)
{
SetTargetFWHM(i, (float)fit.FWHM);
}
}
m_TargetPivotDistancesListX.Clear();
m_TargetPivotDistancesListY.Clear();
return(true);
}
public bool InitializeNewTracking(IAstroImage astroImage)
{
m_StarMapConfig = new StarMapInternalConfig(StarMapInternalConfig.Default);
m_StarMapConfig.CustomMaxSignalValue = astroImage.GetPixelmapPixels().Max();
m_StarMapConfig.CustomOptimumStarsValue = 25;
m_StarMapConfig.IsFITSFile = true;
StarMap starMap = new StarMap();
starMap.FindBestMap(
m_StarMapConfig,
(AstroImage)astroImage,
Rectangle.Empty,
new Rectangle(0, 0, astroImage.Width, astroImage.Height),
AstrometryContext.Current.LimitByInclusion);
if (starMap.Features.Count < 10)
{
MessageBox.Show("Cannot initialize object tracking as less than 10 stars can be identified in the field");
return false;
}
// Build a signature of the largest 10 features (pivots)
m_PivotDistances.Clear();
for (int i = 0; i < 10; i++) m_PivotDistances.Add(new List<double>(UNINITIALIZED_DISTANCES));
double fwhmSum = 0;
int fwhmCount = 0;
starMap.Features.Sort((x, y) => y.PixelCount.CompareTo(x.PixelCount));
for (int i = 0; i < 10; i++)
{
var feature_i = starMap.Features[i];
for (int j = i + 1; j < 10; j++)
{
var feature_j = starMap.Features[j];
double distance = feature_j.GetCenter().DistanceTo(feature_i.GetCenter());
m_PivotDistances[i][j] = distance;
m_PivotDistances[j][i] = distance;
}
int x0 = feature_i.GetCenter().X;
int y0 = feature_i.GetCenter().Y;
PSFFit fit = new PSFFit((int) x0, (int) y0);
uint[,] data = ((AstroImage) astroImage).GetMeasurableAreaPixels((int) x0, (int) y0);
fit.Fit(data);
if (fit.IsSolved)
{
fwhmSum += fit.FWHM;
fwhmCount++;
}
}
m_FWHMAverage = (float)(fwhmSum / fwhmCount);
for (int i = 0; i < m_TrackedObjects.Count; i++)
{
m_TrackedObjectsPivotDistancesX[i] = new List<double>();
m_TrackedObjectsPivotDistancesY[i] = new List<double>();
for (int j = 0; j < 10; j++)
{
m_TrackedObjectsPivotDistancesX[i].Add(m_TrackedObjects[i].Center.XDouble - starMap.Features[j].GetCenter().XDouble);
m_TrackedObjectsPivotDistancesY[i].Add(m_TrackedObjects[i].Center.YDouble - starMap.Features[j].GetCenter().YDouble);
}
int x0 = m_TrackedObjects[i].Center.X;
int y0 = m_TrackedObjects[i].Center.Y;
PSFFit fit = new PSFFit((int)x0, (int)y0);
uint[,] data = ((AstroImage)astroImage).GetMeasurableAreaPixels((int)x0, (int)y0);
fit.Fit(data);
if (fit.IsSolved)
{
SetTargetFWHM(i, (float)fit.FWHM);
}
}
m_TargetPivotDistancesListX.Clear();
m_TargetPivotDistancesListY.Clear();
return true;
}
public void NextFrame(int frameNo, IAstroImage astroImage)
{
m_NativeTrackedObject.ForEach(x => x.NextFrame());
uint[] pixels = astroImage.GetPixelmapPixels();
IsTrackedSuccessfully = NativeTracking.TrackNextFrame(frameNo, pixels, m_NativeTrackedObject);
}