public ProcessingReturnValues FitAndPlotFastFlyby(
Dictionary <int, SingleMultiFrameMeasurement> measurements,
FlybyMeasurementContext meaContext,
FittingContext fittingContext,
FittingValue fittingValue,
GetFrameStateDataCallback getFrameStateDataCallback,
Graphics g, FlybyPlottingContext plottingContext, float xScale, float yScale, int imageWidth, int imageHeight,
out double motionRate)
{
// Do linear regression, use residual based exclusion rules
// Two possible modes: (A) non trailed and (B) trailed images
// A) Non Trailed Images
// Report interpolated times for video normal position [How to use the MPC page for this?]
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections (in both integrated and non integrated modes)
// B) Trailed Images
// TODO: R&D Required
if (fittingContext.ObjectExposureQuality == ObjectExposureQuality.GoodSignal)
{
return(FitAndPlotSlowFlyby(
measurements, meaContext, fittingContext, fittingValue, getFrameStateDataCallback,
g, plottingContext, xScale, yScale, imageWidth, imageHeight, out motionRate));
}
else
{
MessageBox.Show("This operation is currently not suppored.");
motionRate = double.NaN;
return(new ProcessingReturnValues());
}
}
private FrameTime GetTimeForFrame(FittingContext context, int frameNumber, int firstVideoFrame, GetFrameStateDataCallback getFrameStateData, DateTime? ocrTime)
{
var rv = new FrameTime();
rv.RequestedFrameNo = frameNumber;
double instrumentalDelayFrames = 0;
double instrumentalDelaySeconds = 0;
if (context.InstrumentalDelayUnits == InstrumentalDelayUnits.Frames)
instrumentalDelayFrames = context.InstrumentalDelay;
else if (context.InstrumentalDelayUnits == InstrumentalDelayUnits.Seconds)
instrumentalDelaySeconds = context.InstrumentalDelay;
int precision = 1000000;
double sigma = 0.000005;
if (context.FrameTimeType == FrameTimeType.NonIntegratedFrameTime)
{
if (context.VideoFileFormat == VideoFileFormat.AVI)
{
// No integration is used, directly derive the time and apply instrumental delay
rv.ResolvedFrameNo = frameNumber - firstVideoFrame;
rv.UT =
context.FirstFrameUtcTime.AddSeconds(
((frameNumber - context.FirstFrameIdInIntegrationPeroid - instrumentalDelayFrames) / context.FrameRate) - instrumentalDelaySeconds);
}
else if (context.VideoFileFormat == VideoFileFormat.AAV2 && ocrTime.HasValue)
{
rv.ResolvedFrameNo = frameNumber - firstVideoFrame;
var dateTime = context.FirstFrameUtcTime.Date.Add(ocrTime.Value.TimeOfDay);
rv.UT = dateTime.AddSeconds(-instrumentalDelayFrames/context.FrameRate-instrumentalDelaySeconds);
}
else
{
rv.ResolvedFrameNo = frameNumber;
var frameState = getFrameStateData(frameNumber);
rv.UT = frameState.CentralExposureTime;
// Convert Central time to the timestamp of the end of the first field
rv.UT = rv.UT.AddMilliseconds(-0.5 * frameState.ExposureInMilliseconds);
if (context.NativeVideoFormat == "PAL") rv.UT = rv.UT.AddMilliseconds(20);
else if (context.NativeVideoFormat == "NTSC") rv.UT = rv.UT.AddMilliseconds(16.68);
if (context.AavStackedMode)
{
throw new NotSupportedException("AAV Stacked Mode is not supported!");
}
else
{
// Then apply instrumental delay
rv.UT = rv.UT.AddSeconds(-1 * instrumentalDelaySeconds);
}
}
}
else
{
// Integration was used. Find the integrated frame no
int integratedFrameNo = frameNumber - firstVideoFrame;
double deltaMiddleFrame = 0;
if (context.IntegratedFramesCount > 1)
deltaMiddleFrame = (context.IntegratedFramesCount / 2) - 0.5
/* This 0.5 frame correction is only used for the 'visual' mapping between where the user clicked and what is the most 'logical' normal frame to where they clicked */;
// The instrumental delay is always from the timestamp of the first frame of the integrated interval
rv.ResolvedFrameNo = integratedFrameNo;
rv.UT =
context.FirstFrameUtcTime.AddSeconds(
((integratedFrameNo - deltaMiddleFrame - context.FirstFrameIdInIntegrationPeroid - instrumentalDelayFrames) / context.FrameRate) - instrumentalDelaySeconds);
}
if (context.MovementExpectation == MovementExpectation.Slow)
{
precision = 100000;
sigma = 0.000005;
}
else
{
precision = 1000000;
sigma = 0.0000005;
}
double utTime = (rv.UT.Hour + rv.UT.Minute / 60.0 + (rv.UT.Second + (rv.UT.Millisecond / 1000.0)) / 3600.0) / 24;
double roundedTime = Math.Truncate(Math.Round(utTime * precision)) / precision;
rv.ClosestNormalFrameTime = new DateTime(rv.UT.Year, rv.UT.Month, rv.UT.Day).AddDays(roundedTime);
TimeSpan delta = new TimeSpan(rv.ClosestNormalFrameTime.Ticks - rv.UT.Ticks);
rv.ClosestNormalFrameNo = rv.ResolvedFrameNo + (delta.TotalSeconds * context.FrameRate);
double framesEachSide = sigma * 24 * 3600 * context.FrameRate;
rv.ClosestNormalIntervalFirstFrameNo = (int)Math.Floor(rv.ClosestNormalFrameNo - framesEachSide);
rv.ClosestNormalIntervalLastFrameNo = (int)Math.Ceiling(rv.ClosestNormalFrameNo + framesEachSide);
//Trace.WriteLine(string.Format("{0} / {1}; {2} / {3}; {4} / {5}",
// roundedTime.ToString("0.00000"), utTime,
// rv.ClosestNormalFrameNo, rv.ResolvedFrameNo,
// rv.UT.ToString("HH:mm:ss.fff"), rv.ClosestNormalFrameTime.ToString("HH:mm:ss.fff")));
return rv;
}
public ProcessingReturnValues FitAndPlotSlowFlyby(
Dictionary<int, SingleMultiFrameMeasurement> measurements,
FlybyMeasurementContext meaContext,
FittingContext fittingContext,
FittingValue fittingValue,
GetFrameStateDataCallback getFrameStateDataCallback,
Graphics g, FlybyPlottingContext plottingContext, float xScale, float yScale, int imageWidth, int imageHight,
out double motionRate)
{
try
{
#region Building Test Cases
if (m_DumpTestCaseData)
{
var mvSer = new XmlSerializer(typeof(FlybyMeasurementContext));
var sb = new StringBuilder();
using (var wrt = new StringWriter(sb))
{
mvSer.Serialize(wrt, meaContext);
}
Trace.WriteLine(sb.ToString());
var fcSer = new XmlSerializer(typeof(FittingContext));
sb.Clear();
using (var wrt = new StringWriter(sb))
{
fcSer.Serialize(wrt, fittingContext);
}
Trace.WriteLine(sb.ToString());
var smfmSer = new XmlSerializer(typeof(SingleMultiFrameMeasurement));
foreach (int key in measurements.Keys)
{
sb.Clear();
using (var wrt2 = new StringWriter(sb))
{
smfmSer.Serialize(wrt2, measurements[key]);
if (measurements[key].FrameNo != key)
throw new InvalidOperationException();
Trace.WriteLine(sb.ToString());
}
}
}
#endregion
// Do linear regression, use residual based exclusion rules
// Report the interpolated position at the middle of the measured interva
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections
motionRate = double.NaN;
var rv = new ProcessingReturnValues();
int numFramesUser = 0;
rv.EarliestFrame = int.MaxValue;
rv.LatestFrame = int.MinValue;
var intervalValues = new Dictionary<int, Tuple<List<double>, List<double>>>();
var intervalMedians = new Dictionary<double, double>();
var intervalWeights = new Dictionary<double, double>();
LinearRegression regression = null;
if (measurements.Values.Count > 1)
{
rv.EarliestFrame = measurements.Values.Select(m => m.FrameNo).Min();
rv.LatestFrame = measurements.Values.Select(m => m.FrameNo).Max();
var minUncertainty = meaContext.MinPositionUncertaintyPixels * meaContext.ArsSecsInPixel;
foreach (SingleMultiFrameMeasurement measurement in measurements.Values)
{
int integrationInterval = (measurement.FrameNo - fittingContext.FirstFrameIdInIntegrationPeroid) / fittingContext.IntegratedFramesCount;
Tuple<List<double>,List<double>> intPoints;
if (!intervalValues.TryGetValue(integrationInterval, out intPoints))
{
intPoints = Tuple.Create(new List<double>(), new List<double>());
intervalValues.Add(integrationInterval, intPoints);
}
if (fittingValue == FittingValue.RA)
{
intPoints.Item1.Add(measurement.RADeg);
intPoints.Item2.Add(ComputePositionWeight(measurement.SolutionUncertaintyRACosDEArcSec, measurement, minUncertainty, fittingContext.Weighting));
}
else
{
intPoints.Item1.Add(measurement.DEDeg);
intPoints.Item2.Add(ComputePositionWeight(measurement.SolutionUncertaintyDEArcSec, measurement, minUncertainty, fittingContext.Weighting));
}
}
if (intervalValues.Count > 2)
{
regression = new LinearRegression();
foreach (int integratedFrameNo in intervalValues.Keys)
{
Tuple<List<double>, List<double>> data = intervalValues[integratedFrameNo];
double median;
double medianWeight;
WeightedMedian(data, out median, out medianWeight);
// Assign the data point to the middle of the integration interval (using frame numbers)
//
// |--|--|--|--|--|--|--|--|
// | | |
//
// Because the time associated with the first frame is the middle of the frame, but the
// time associated with the middle of the interval is the end of the field then the correction
// is (N / 2) - 0.5 frames
double dataPointFrameNo =
rv.EarliestFrame +
fittingContext.IntegratedFramesCount * integratedFrameNo
+ (fittingContext.IntegratedFramesCount / 2)
- 0.5;
intervalMedians.Add(dataPointFrameNo, median);
intervalWeights.Add(dataPointFrameNo, medianWeight);
if (fittingContext.Weighting != WeightingMode.None)
regression.AddDataPoint(dataPointFrameNo, median, medianWeight);
else
regression.AddDataPoint(dataPointFrameNo, median);
}
regression.Solve();
var firstPos = measurements[rv.EarliestFrame];
var lastPos = measurements[rv.LatestFrame];
double distanceArcSec = AngleUtility.Elongation(firstPos.RADeg, firstPos.DEDeg, lastPos.RADeg, lastPos.DEDeg) * 3600;
var firstTime = GetTimeForFrame(fittingContext, rv.EarliestFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, firstPos.OCRedTimeStamp);
var lastTime = GetTimeForFrame(fittingContext, rv.LatestFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, lastPos.OCRedTimeStamp);
double elapsedSec = new TimeSpan(lastTime.UT.Ticks - firstTime.UT.Ticks).TotalSeconds;
motionRate = distanceArcSec / elapsedSec;
}
}
FrameTime resolvedTime = null;
if (int.MinValue != meaContext.UserMidFrame)
{
// Find the closest video 'normal' MPC time and compute the frame number for it
// Now compute the RA/DE for the computed 'normal' frame
resolvedTime = GetTimeForFrame(fittingContext, meaContext.UserMidFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, measurements[meaContext.UserMidFrame].OCRedTimeStamp);
#region Plotting Code
if (g != null)
{
float xPosBeg = (float)(resolvedTime.ClosestNormalIntervalFirstFrameNo - rv.EarliestFrame) * xScale + 5;
float xPosEnd = (float)(resolvedTime.ClosestNormalIntervalLastFrameNo - rv.EarliestFrame) * xScale + 5;
g.FillRectangle(s_NormalTimeIntervalHighlightBrush, xPosBeg, 1, (xPosEnd - xPosBeg), imageHight - 2);
}
#endregion
}
Dictionary<double, double> secondPassData = new Dictionary<double, double>();
int minFrameId = measurements.Keys.Min();
#region Plotting Code
if (g != null)
{
foreach (SingleMultiFrameMeasurement measurement in measurements.Values)
{
float x = (measurement.FrameNo - minFrameId) * xScale + 5;
ProcessingValues val = new ProcessingValues()
{
Value = fittingValue == FittingValue.RA ? measurement.RADeg : measurement.DEDeg,
StdDev = fittingValue == FittingValue.RA ? measurement.StdDevRAArcSec / 3600.0 : measurement.StdDevDEArcSec / 3600.0
};
double valueFrom = val.Value - val.StdDev;
double valueTo = val.Value + val.StdDev;
float yFrom = (float)(valueFrom - plottingContext.MinValue) * yScale + 5;
float yTo = (float)(valueTo - plottingContext.MinValue) * yScale + 5;
g.DrawLine(plottingContext.IncludedPen, x, yFrom, x, yTo);
g.DrawLine(plottingContext.IncludedPen, x - 1, yFrom, x + 1, yFrom);
g.DrawLine(plottingContext.IncludedPen, x - 1, yTo, x + 1, yTo);
}
}
#endregion
foreach (double integrFrameNo in intervalMedians.Keys)
{
double val = intervalMedians[integrFrameNo];
double fittedValAtFrame = regression != null
? regression.ComputeY(integrFrameNo)
: double.NaN;
bool included = Math.Abs(fittedValAtFrame - val) < 3 * regression.StdDev;
#region Plotting Code
if (g != null)
{
if (fittingContext.IntegratedFramesCount > 1)
{
Pen mPen = included ? plottingContext.IncludedPen : plottingContext.ExcludedPen;
float x = (float)(integrFrameNo - minFrameId) * xScale + 5;
float y = (float)(val - plottingContext.MinValue) * yScale + 5;
g.DrawEllipse(mPen, x - 3, y - 3, 6, 6);
g.DrawLine(mPen, x - 5, y - 5, x + 5, y + 5);
g.DrawLine(mPen, x + 5, y - 5, x - 5, y + 5);
}
}
#endregion
if (included) secondPassData.Add(integrFrameNo, val);
}
#region Second Pass
regression = null;
if (secondPassData.Count > 2)
{
regression = new LinearRegression();
foreach (double frameNo in secondPassData.Keys)
{
if (fittingContext.Weighting != WeightingMode.None)
regression.AddDataPoint(frameNo, secondPassData[frameNo], intervalWeights[frameNo]);
else
regression.AddDataPoint(frameNo, secondPassData[frameNo]);
}
regression.Solve();
}
#endregion
if (regression != null)
{
#region Plotting Code
if (g != null)
{
double leftFittedVal = regression.ComputeY(rv.EarliestFrame);
double rightFittedVal = regression.ComputeY(rv.LatestFrame);
double err = 3 * regression.StdDev;
float leftAve = (float)(leftFittedVal - plottingContext.MinValue) * yScale + 5;
float rightAve = (float)(rightFittedVal - plottingContext.MinValue) * yScale + 5;
float leftX = 5 + (float)(rv.EarliestFrame - rv.EarliestFrame) * xScale;
float rightX = 5 + (float)(rv.LatestFrame - rv.EarliestFrame) * xScale;
g.DrawLine(plottingContext.AveragePen, leftX, leftAve - 1, rightX, rightAve - 1);
g.DrawLine(plottingContext.AveragePen, leftX, leftAve, rightX, rightAve);
g.DrawLine(plottingContext.AveragePen, leftX, leftAve + 1, rightX, rightAve + 1);
float leftMin = (float)(leftFittedVal - err - plottingContext.MinValue) * yScale + 5;
float leftMax = (float)(leftFittedVal + err - plottingContext.MinValue) * yScale + 5;
float rightMin = (float)(rightFittedVal - err - plottingContext.MinValue) * yScale + 5;
float rightMax = (float)(rightFittedVal + err - plottingContext.MinValue) * yScale + 5;
g.DrawLine(plottingContext.AveragePen, leftX, leftMin, rightX, rightMin);
g.DrawLine(plottingContext.AveragePen, leftX, leftMax, rightX, rightMax);
}
#endregion
if (int.MinValue != meaContext.UserMidFrame &&
resolvedTime != null)
{
// Find the closest video 'normal' MPC time and compute the frame number for it
// Now compute the RA/DE for the computed 'normal' frame
double fittedValueUncertainty;
double fittedValueAtMiddleFrame = regression.ComputeYWithError(resolvedTime.ClosestNormalFrameNo, out fittedValueUncertainty);
Trace.WriteLine(string.Format("{0}; Included: {1}; Normal Frame No: {2}; Fitted Val: {3} +/- {4:0.00}",
meaContext.UserMidValue.ToString("0.00000"),
numFramesUser, resolvedTime.ClosestNormalFrameNo,
AstroConvert.ToStringValue(fittedValueAtMiddleFrame, "+HH MM SS.T"),
regression.StdDev * 60 * 60));
// Report the interpolated position at the middle of the measured interval
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections
rv.FittedValue = fittedValueAtMiddleFrame;
rv.FittedValueTime = resolvedTime.ClosestNormalFrameTime;
rv.IsVideoNormalPosition = true;
rv.FittedNormalFrame = resolvedTime.ClosestNormalFrameNo;
rv.FittedValueUncertaintyArcSec = fittedValueUncertainty * 60 * 60;
#region Plotting Code
if (g != null)
{
// Plot the frame
float xPos = (float)(resolvedTime.ClosestNormalFrameNo - rv.EarliestFrame) * xScale + 5;
float yPos = (float)(rv.FittedValue - plottingContext.MinValue) * yScale + 5;
g.DrawLine(Pens.Yellow, xPos, 1, xPos, imageHight - 2);
g.FillEllipse(Brushes.Yellow, xPos - 3, yPos - 3, 6, 6);
}
#endregion
}
else
rv.FittedValue = double.NaN;
}
else
rv.FittedValue = double.NaN;
return rv;
}
catch (Exception ex)
{
Trace.WriteLine(ex.GetFullStackTrace());
motionRate = 0;
return null;
}
}
public ProcessingReturnValues FitAndPlotFastFlyby(
Dictionary<int, SingleMultiFrameMeasurement> measurements,
FlybyMeasurementContext meaContext,
FittingContext fittingContext,
FittingValue fittingValue,
GetFrameStateDataCallback getFrameStateDataCallback,
Graphics g, FlybyPlottingContext plottingContext, float xScale, float yScale, int imageWidth, int imageHeight,
out double motionRate)
{
// Do linear regression, use residual based exclusion rules
// Two possible modes: (A) non trailed and (B) trailed images
// A) Non Trailed Images
// Report interpolated times for video normal position [How to use the MPC page for this?]
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections (in both integrated and non integrated modes)
// B) Trailed Images
// TODO: R&D Required
if (fittingContext.ObjectExposureQuality == ObjectExposureQuality.GoodSignal)
{
return FitAndPlotSlowFlyby(
measurements, meaContext, fittingContext, fittingValue, getFrameStateDataCallback,
g, plottingContext, xScale, yScale, imageWidth, imageHeight, out motionRate);
}
else
{
MessageBox.Show("This operation is currently not suppored.");
motionRate = double.NaN;
return new ProcessingReturnValues();
}
}
public ProcessingReturnValues FitAndPlotSlowFlyby(
Dictionary <int, SingleMultiFrameMeasurement> measurements,
FlybyMeasurementContext meaContext,
FittingContext fittingContext,
FittingValue fittingValue,
GetFrameStateDataCallback getFrameStateDataCallback,
Graphics g, FlybyPlottingContext plottingContext, float xScale, float yScale, int imageWidth, int imageHight,
out double motionRate)
{
try
{
#region Building Test Cases
if (m_DumpTestCaseData)
{
var mvSer = new XmlSerializer(typeof(FlybyMeasurementContext));
var sb = new StringBuilder();
using (var wrt = new StringWriter(sb))
{
mvSer.Serialize(wrt, meaContext);
}
Trace.WriteLine(sb.ToString());
var fcSer = new XmlSerializer(typeof(FittingContext));
sb.Clear();
using (var wrt = new StringWriter(sb))
{
fcSer.Serialize(wrt, fittingContext);
}
Trace.WriteLine(sb.ToString());
var smfmSer = new XmlSerializer(typeof(SingleMultiFrameMeasurement));
foreach (int key in measurements.Keys)
{
sb.Clear();
using (var wrt2 = new StringWriter(sb))
{
smfmSer.Serialize(wrt2, measurements[key]);
if (measurements[key].FrameNo != key)
{
throw new InvalidOperationException();
}
Trace.WriteLine(sb.ToString());
}
}
}
#endregion
// Do linear regression, use residual based exclusion rules
// Report the interpolated position at the middle of the measured interva
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections
motionRate = double.NaN;
var rv = new ProcessingReturnValues();
int numFramesUser = 0;
rv.EarliestFrame = int.MaxValue;
rv.LatestFrame = int.MinValue;
var intervalValues = new Dictionary <int, Tuple <List <double>, List <double> > >();
var intervalMedians = new Dictionary <double, double>();
var intervalWeights = new Dictionary <double, double>();
LinearRegression regression = null;
if (measurements.Values.Count > 1)
{
rv.EarliestFrame = measurements.Values.Select(m => m.FrameNo).Min();
rv.LatestFrame = measurements.Values.Select(m => m.FrameNo).Max();
var minUncertainty = meaContext.MinPositionUncertaintyPixels * meaContext.ArsSecsInPixel;
foreach (SingleMultiFrameMeasurement measurement in measurements.Values)
{
int integrationInterval = (measurement.FrameNo - fittingContext.FirstFrameIdInIntegrationPeroid) / fittingContext.IntegratedFramesCount;
Tuple <List <double>, List <double> > intPoints;
if (!intervalValues.TryGetValue(integrationInterval, out intPoints))
{
intPoints = Tuple.Create(new List <double>(), new List <double>());
intervalValues.Add(integrationInterval, intPoints);
}
if (fittingValue == FittingValue.RA)
{
intPoints.Item1.Add(measurement.RADeg);
intPoints.Item2.Add(ComputePositionWeight(measurement.SolutionUncertaintyRACosDEArcSec, measurement, minUncertainty, fittingContext.Weighting));
}
else
{
intPoints.Item1.Add(measurement.DEDeg);
intPoints.Item2.Add(ComputePositionWeight(measurement.SolutionUncertaintyDEArcSec, measurement, minUncertainty, fittingContext.Weighting));
}
}
if (intervalValues.Count > 2)
{
regression = new LinearRegression();
foreach (int integratedFrameNo in intervalValues.Keys)
{
Tuple <List <double>, List <double> > data = intervalValues[integratedFrameNo];
double median;
double medianWeight;
WeightedMedian(data, out median, out medianWeight);
// Assign the data point to the middle of the integration interval (using frame numbers)
//
// |--|--|--|--|--|--|--|--|
// | | |
//
// Because the time associated with the first frame is the middle of the frame, but the
// time associated with the middle of the interval is the end of the field then the correction
// is (N / 2) - 0.5 frames when integration is used or no correction when integration of x1 is used.
double dataPointFrameNo =
rv.EarliestFrame +
fittingContext.IntegratedFramesCount * integratedFrameNo
+ (fittingContext.IntegratedFramesCount / 2)
- (fittingContext.IntegratedFramesCount > 1 ? 0.5 : 0);
intervalMedians.Add(dataPointFrameNo, median);
intervalWeights.Add(dataPointFrameNo, medianWeight);
if (fittingContext.Weighting != WeightingMode.None)
{
regression.AddDataPoint(dataPointFrameNo, median, medianWeight);
}
else
{
regression.AddDataPoint(dataPointFrameNo, median);
}
}
regression.Solve();
var firstPos = measurements[rv.EarliestFrame];
var lastPos = measurements[rv.LatestFrame];
double distanceArcSec = AngleUtility.Elongation(firstPos.RADeg, firstPos.DEDeg, lastPos.RADeg, lastPos.DEDeg) * 3600;
var firstTime = GetTimeForFrame(fittingContext, rv.EarliestFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, firstPos.FrameTimeStamp);
var lastTime = GetTimeForFrame(fittingContext, rv.LatestFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, lastPos.FrameTimeStamp);
double elapsedSec = new TimeSpan(lastTime.UT.Ticks - firstTime.UT.Ticks).TotalSeconds;
motionRate = distanceArcSec / elapsedSec;
}
}
FrameTime resolvedTime = null;
if (int.MinValue != meaContext.UserMidFrame)
{
// Find the closest video 'normal' MPC time and compute the frame number for it
// Now compute the RA/DE for the computed 'normal' frame
resolvedTime = GetTimeForFrame(fittingContext, meaContext.UserMidFrame, meaContext.FirstVideoFrame, getFrameStateDataCallback, measurements[meaContext.UserMidFrame].FrameTimeStamp);
#region Plotting Code
if (g != null)
{
float xPosBeg = (float)(resolvedTime.ClosestNormalIntervalFirstFrameNo - rv.EarliestFrame) * xScale + 5;
float xPosEnd = (float)(resolvedTime.ClosestNormalIntervalLastFrameNo - rv.EarliestFrame) * xScale + 5;
g.FillRectangle(s_NormalTimeIntervalHighlightBrush, xPosBeg, 1, (xPosEnd - xPosBeg), imageHight - 2);
}
#endregion
}
Dictionary <double, double> secondPassData = new Dictionary <double, double>();
int minFrameId = measurements.Keys.Min();
#region Plotting Code
if (g != null)
{
foreach (SingleMultiFrameMeasurement measurement in measurements.Values)
{
float x = (measurement.FrameNo - minFrameId) * xScale + 5;
ProcessingValues val = new ProcessingValues()
{
Value = fittingValue == FittingValue.RA ? measurement.RADeg : measurement.DEDeg,
StdDev = fittingValue == FittingValue.RA ? measurement.StdDevRAArcSec / 3600.0 : measurement.StdDevDEArcSec / 3600.0
};
double valueFrom = val.Value - val.StdDev;
double valueTo = val.Value + val.StdDev;
float yFrom = (float)(valueFrom - plottingContext.MinValue) * yScale + 5;
float yTo = (float)(valueTo - plottingContext.MinValue) * yScale + 5;
g.DrawLine(plottingContext.IncludedPen, x, yFrom, x, yTo);
g.DrawLine(plottingContext.IncludedPen, x - 1, yFrom, x + 1, yFrom);
g.DrawLine(plottingContext.IncludedPen, x - 1, yTo, x + 1, yTo);
}
}
#endregion
foreach (double integrFrameNo in intervalMedians.Keys)
{
double val = intervalMedians[integrFrameNo];
double fittedValAtFrame = regression != null
? regression.ComputeY(integrFrameNo)
: double.NaN;
bool included = Math.Abs(fittedValAtFrame - val) < 3 * regression.StdDev;
#region Plotting Code
if (g != null)
{
if (fittingContext.IntegratedFramesCount > 1)
{
Pen mPen = included ? plottingContext.IncludedPen : plottingContext.ExcludedPen;
float x = (float)(integrFrameNo - minFrameId) * xScale + 5;
float y = (float)(val - plottingContext.MinValue) * yScale + 5;
g.DrawEllipse(mPen, x - 3, y - 3, 6, 6);
g.DrawLine(mPen, x - 5, y - 5, x + 5, y + 5);
g.DrawLine(mPen, x + 5, y - 5, x - 5, y + 5);
}
}
#endregion
if (included)
{
secondPassData.Add(integrFrameNo, val);
}
}
#region Second Pass
regression = null;
if (secondPassData.Count > 2)
{
regression = new LinearRegression();
foreach (double frameNo in secondPassData.Keys)
{
if (fittingContext.Weighting != WeightingMode.None)
{
regression.AddDataPoint(frameNo, secondPassData[frameNo], intervalWeights[frameNo]);
}
else
{
regression.AddDataPoint(frameNo, secondPassData[frameNo]);
}
}
regression.Solve();
}
#endregion
if (regression != null)
{
#region Plotting Code
if (g != null)
{
double leftFittedVal = regression.ComputeY(rv.EarliestFrame);
double rightFittedVal = regression.ComputeY(rv.LatestFrame);
double err = 3 * regression.StdDev;
float leftAve = (float)(leftFittedVal - plottingContext.MinValue) * yScale + 5;
float rightAve = (float)(rightFittedVal - plottingContext.MinValue) * yScale + 5;
float leftX = 5 + (float)(rv.EarliestFrame - rv.EarliestFrame) * xScale;
float rightX = 5 + (float)(rv.LatestFrame - rv.EarliestFrame) * xScale;
g.DrawLine(plottingContext.AveragePen, leftX, leftAve - 1, rightX, rightAve - 1);
g.DrawLine(plottingContext.AveragePen, leftX, leftAve, rightX, rightAve);
g.DrawLine(plottingContext.AveragePen, leftX, leftAve + 1, rightX, rightAve + 1);
float leftMin = (float)(leftFittedVal - err - plottingContext.MinValue) * yScale + 5;
float leftMax = (float)(leftFittedVal + err - plottingContext.MinValue) * yScale + 5;
float rightMin = (float)(rightFittedVal - err - plottingContext.MinValue) * yScale + 5;
float rightMax = (float)(rightFittedVal + err - plottingContext.MinValue) * yScale + 5;
g.DrawLine(plottingContext.AveragePen, leftX, leftMin, rightX, rightMin);
g.DrawLine(plottingContext.AveragePen, leftX, leftMax, rightX, rightMax);
}
#endregion
if (int.MinValue != meaContext.UserMidFrame &&
resolvedTime != null)
{
// Find the closest video 'normal' MPC time and compute the frame number for it
// Now compute the RA/DE for the computed 'normal' frame
double fittedValueUncertainty;
double fittedValueAtMiddleFrame = regression.ComputeYWithError(resolvedTime.ClosestNormalFrameNo, out fittedValueUncertainty);
Trace.WriteLine(string.Format("{0}; Included: {1}; Normal Frame No: {2}; Fitted Val: {3} +/- {4:0.00}",
meaContext.UserMidValue.ToString("0.00000"),
numFramesUser, resolvedTime.ClosestNormalFrameNo,
AstroConvert.ToStringValue(fittedValueAtMiddleFrame, "+HH MM SS.T"),
regression.StdDev * 60 * 60));
// Report the interpolated position at the middle of the measured interval
// Don't forget to add the video normal position flag in the OBS file
// Expect elongated images and apply instrumental delay corrections
rv.FittedValue = fittedValueAtMiddleFrame;
rv.FittedValueTime = resolvedTime.ClosestNormalFrameTime;
rv.IsVideoNormalPosition = true;
rv.FittedNormalFrame = resolvedTime.ClosestNormalFrameNo;
rv.FittedValueUncertaintyArcSec = fittedValueUncertainty * 60 * 60;
#region Plotting Code
if (g != null)
{
// Plot the frame
float xPos = (float)(resolvedTime.ClosestNormalFrameNo - rv.EarliestFrame) * xScale + 5;
float yPos = (float)(rv.FittedValue - plottingContext.MinValue) * yScale + 5;
g.DrawLine(Pens.Yellow, xPos, 1, xPos, imageHight - 2);
g.FillEllipse(Brushes.Yellow, xPos - 3, yPos - 3, 6, 6);
}
#endregion
}
else
{
rv.FittedValue = double.NaN;
}
}
else
{
rv.FittedValue = double.NaN;
}
return(rv);
}
catch (Exception ex)
{
Trace.WriteLine(ex.GetFullStackTrace());
motionRate = 0;
return(null);
}
}
private FrameTime GetTimeForFrame(FittingContext context, int frameNumber, int firstVideoFrame, GetFrameStateDataCallback getFrameStateData, DateTime?ocrTime)
{
var rv = new FrameTime();
rv.RequestedFrameNo = frameNumber;
double instrumentalDelayFrames = 0;
double instrumentalDelaySeconds = 0;
if (context.InstrumentalDelayUnits == InstrumentalDelayUnits.Frames)
{
instrumentalDelayFrames = context.InstrumentalDelay;
}
else if (context.InstrumentalDelayUnits == InstrumentalDelayUnits.Seconds)
{
instrumentalDelaySeconds = context.InstrumentalDelay;
}
int precision = 1000000;
double sigma = 0.000005;
if (context.FrameTimeType == FrameTimeType.NonIntegratedFrameTime)
{
if (context.VideoFileFormat == VideoFileFormat.AVI)
{
// No integration is used, directly derive the time and apply instrumental delay
rv.ResolvedFrameNo = frameNumber - firstVideoFrame;
rv.UT =
context.FirstFrameUtcTime.AddSeconds(
((frameNumber - context.FirstFrameIdInIntegrationPeroid - instrumentalDelayFrames) / context.FrameRate) - instrumentalDelaySeconds);
}
else if (context.VideoFileFormat == VideoFileFormat.AAV2 && ocrTime.HasValue)
{
rv.ResolvedFrameNo = frameNumber - firstVideoFrame;
var dateTime = context.FirstFrameUtcTime.Date.Add(ocrTime.Value.TimeOfDay);
rv.UT = dateTime.AddSeconds(-instrumentalDelayFrames / context.FrameRate - instrumentalDelaySeconds);
}
else
{
rv.ResolvedFrameNo = frameNumber;
var frameState = getFrameStateData(frameNumber);
rv.UT = frameState.CentralExposureTime;
// Convert Central time to the timestamp of the end of the first field
rv.UT = rv.UT.AddMilliseconds(-0.5 * frameState.ExposureInMilliseconds);
if (context.NativeVideoFormat == "PAL")
{
rv.UT = rv.UT.AddMilliseconds(20);
}
else if (context.NativeVideoFormat == "NTSC")
{
rv.UT = rv.UT.AddMilliseconds(16.68);
}
if (context.AavStackedMode)
{
throw new NotSupportedException("AAV Stacked Mode is not supported!");
}
else
{
// Then apply instrumental delay
rv.UT = rv.UT.AddSeconds(-1 * instrumentalDelaySeconds);
}
}
}
else
{
// Integration was used. Find the integrated frame no
int integratedFrameNo = frameNumber - firstVideoFrame;
double deltaMiddleFrame = 0;
if (context.IntegratedFramesCount > 1)
{
deltaMiddleFrame = (context.IntegratedFramesCount / 2) - 0.5
/* This 0.5 frame correction is only used for the 'visual' mapping between where the user clicked and what is the most 'logical' normal frame to where they clicked */;
}
// The instrumental delay is always from the timestamp of the first frame of the integrated interval
rv.ResolvedFrameNo = integratedFrameNo;
rv.UT =
context.FirstFrameUtcTime.AddSeconds(
((integratedFrameNo - deltaMiddleFrame - context.FirstFrameIdInIntegrationPeroid - instrumentalDelayFrames) / context.FrameRate) - instrumentalDelaySeconds);
}
if (context.MovementExpectation == MovementExpectation.Slow)
{
precision = 100000;
sigma = 0.000005;
}
else
{
precision = 1000000;
sigma = 0.0000005;
}
double utTime = (rv.UT.Hour + rv.UT.Minute / 60.0 + (rv.UT.Second + (rv.UT.Millisecond / 1000.0)) / 3600.0) / 24;
double roundedTime = Math.Truncate(Math.Round(utTime * precision)) / precision;
rv.ClosestNormalFrameTime = new DateTime(rv.UT.Year, rv.UT.Month, rv.UT.Day).AddDays(roundedTime);
TimeSpan delta = new TimeSpan(rv.ClosestNormalFrameTime.Ticks - rv.UT.Ticks);
rv.ClosestNormalFrameNo = rv.ResolvedFrameNo + (delta.TotalSeconds * context.FrameRate);
double framesEachSide = sigma * 24 * 3600 * context.FrameRate;
rv.ClosestNormalIntervalFirstFrameNo = (int)Math.Floor(rv.ClosestNormalFrameNo - framesEachSide);
rv.ClosestNormalIntervalLastFrameNo = (int)Math.Ceiling(rv.ClosestNormalFrameNo + framesEachSide);
//Trace.WriteLine(string.Format("{0} / {1}; {2} / {3}; {4} / {5}",
// roundedTime.ToString("0.00000"), utTime,
// rv.ClosestNormalFrameNo, rv.ResolvedFrameNo,
// rv.UT.ToString("HH:mm:ss.fff"), rv.ClosestNormalFrameTime.ToString("HH:mm:ss.fff")));
return(rv);
}
public void TestInstrumentalDelayInAVI(int integratedFrames, int measureFramesPerInterval, double frameRate, double instrumentalDelaySec, bool missFirstFrame, int? clickedFrameIndex)
{
// Simulated 10 integrated frames with integration starting at frame 100
// Simulated motion in RA with rate 2.34567s per minute
// Simulated motion in DEC with rate 34.5678" per minute
double frameDurationSec = 1.0 / frameRate;
const double raArcSecRatePerMinute = 2.34567;
double raArcSecRatePerIntegrationPeriod = integratedFrames * frameDurationSec * raArcSecRatePerMinute / 60.0;
const double startingRaDeg = 123.0;
const int firstFrameId = 100;
const int numIntegrationIntervalsMeasured = 10;
DateTime firstIntegratedFrameRealMidExposureUT = DateTime.ParseExact("2016 09 08 13:45:04.718", "yyyy MM dd HH:mm:ss.fff", CultureInfo.InvariantCulture);
const double decArcSecRatePerMinute = 34.5678;
double decArcSecRatePerIntegrationPeriod = integratedFrames * frameDurationSec * decArcSecRatePerMinute / 60.0;
const double startingDecDeg = 42.0;
DateTime midExpWithDelay = firstIntegratedFrameRealMidExposureUT.AddSeconds(instrumentalDelaySec);
DateTime endFirstFieldTimeStamp = midExpWithDelay;
var measurements = new Dictionary<int, SingleMultiFrameMeasurement>();
var fittingContext = new FittingContext()
{
AavStackedMode = false,
FirstFrameIdInIntegrationPeroid = firstFrameId,
FirstFrameUtcTime = endFirstFieldTimeStamp,
FrameRate = frameRate,
FrameTimeType = FrameTimeType.TimeStampOfFirstIntegratedFrame,
InstrumentalDelay = instrumentalDelaySec,
InstrumentalDelayUnits = InstrumentalDelayUnits.Seconds,
IntegratedFramesCount = integratedFrames,
MovementExpectation = MovementExpectation.SlowFlyby,
NativeVideoFormat = null,
ObjectExposureQuality = ObjectExposureQuality.GoodSignal
};
var meaContext = new FlybyMeasurementContext()
{
FirstVideoFrame = 0, /* First frame is in the whole video file */
MaxStdDev = 0,
UserMidValue = 0 /* This is used for plotting only */
};
for (int i = 0; i < numIntegrationIntervalsMeasured; i++)
{
double de = startingDecDeg + (decArcSecRatePerIntegrationPeriod * i) / 3600;
double ra = startingRaDeg + (raArcSecRatePerIntegrationPeriod * i) / 3600;
for (int f = 0; f < measureFramesPerInterval; f++)
{
var mea = new SingleMultiFrameMeasurement()
{
RADeg = ra,
DEDeg = de,
FrameNo = firstFrameId + i * integratedFrames + f,
Mag = 14
};
measurements.Add(mea.FrameNo, mea);
}
}
if (missFirstFrame)
// Simulate a prevoous buggy condition: Missed first frame
measurements.Remove(firstFrameId);
meaContext.MinFrameNo = measurements.Keys.Min();
meaContext.MaxFrameNo = measurements.Keys.Max();
if (clickedFrameIndex == null)
// When not specified explicitely compute a normal position close to the last measured frame
meaContext.UserMidFrame = meaContext.MaxFrameNo;
else
meaContext.UserMidFrame = meaContext.MinFrameNo + clickedFrameIndex.Value;
var fitter = new FlyByMotionFitter();
double motionRate;
var raFit = fitter.FitAndPlotSlowFlyby(
measurements, meaContext, fittingContext, FittingValue.RA,
null, null, null, 0, 0, 0, 0, out motionRate);
var deFit = fitter.FitAndPlotSlowFlyby(
measurements, meaContext, fittingContext, FittingValue.DEC,
null, null, null, 0, 0, 0, 0, out motionRate);
Assert.IsNotNull(raFit);
Assert.IsNotNull(deFit);
Assert.IsTrue(raFit.IsVideoNormalPosition);
Assert.IsTrue(deFit.IsVideoNormalPosition);
#region Compute Expected Normal Position and Time of Normal Position
int userFrameIntegrationInterval = (meaContext.UserMidFrame - firstFrameId) / integratedFrames;
double userFrameIntegrationIntervalMidFrame = firstFrameId + userFrameIntegrationInterval * integratedFrames + integratedFrames / 2 - (frameDurationSec / 2 /* Correction for finding the middle even frames block */);
DateTime userFrameIntegrationIntervalMidExposureRealTimeStamp = firstIntegratedFrameRealMidExposureUT.AddSeconds(userFrameIntegrationInterval * integratedFrames * frameDurationSec);
double userFrameOffsetFromMidExposureSec = (meaContext.UserMidFrame - userFrameIntegrationIntervalMidFrame) * frameDurationSec;
DateTime userFrameRealProjectedTimeStamp = userFrameIntegrationIntervalMidExposureRealTimeStamp.AddSeconds(userFrameOffsetFromMidExposureSec);
double fractionalDaysProjectedTimeStamp = GetFractionalDays(userFrameRealProjectedTimeStamp);
double fractionalDaysClosestNormalTimeStamp = Math.Round(fractionalDaysProjectedTimeStamp * 1E6) / 1E6;
DateTime closestNormalTimeStamp =
new DateTime(userFrameRealProjectedTimeStamp.Year, userFrameRealProjectedTimeStamp.Month,
userFrameRealProjectedTimeStamp.Day).AddDays(fractionalDaysClosestNormalTimeStamp);
#endregion
TimeSpan diffExpectedMinusFitted = closestNormalTimeStamp - raFit.FittedValueTime;
if (diffExpectedMinusFitted.TotalMilliseconds > 0.5)
{
diffExpectedMinusFitted = closestNormalTimeStamp.AddDays(0.000001) - raFit.FittedValueTime;
if (diffExpectedMinusFitted.TotalMilliseconds > 0.5)
{
diffExpectedMinusFitted = closestNormalTimeStamp.AddDays(-0.000001) - raFit.FittedValueTime;
if (diffExpectedMinusFitted.TotalMilliseconds > 0.5)
{
Assert.Fail("Normal Time Difference. Expected: {0:0.0000000}, Actual: {1:0.0000000}",
GetFractionalDays(closestNormalTimeStamp),
GetFractionalDays(raFit.FittedValueTime));
}
}
}
// Make sure we calculate the position for the selected normal frame by the fitter, which may be 1 microday away from ours
closestNormalTimeStamp = raFit.FittedValueTime;
TimeSpan diffNormalMinusStartTime = closestNormalTimeStamp - firstIntegratedFrameRealMidExposureUT;
double raAtNormalTimeArcSec = startingRaDeg * 3600 + raArcSecRatePerMinute * diffNormalMinusStartTime.TotalMinutes;
double deAtNormalTimeArcSec = startingDecDeg * 3600 + decArcSecRatePerMinute * diffNormalMinusStartTime.TotalMinutes;
double fittedRaArcSec = raFit.FittedValue * 3600;
double fittedDecArcSec = deFit.FittedValue * 3600;
Trace.WriteLine(string.Format("RA-Diff={0}\", DEC-Diff-{1}\"", Math.Abs(raAtNormalTimeArcSec - fittedRaArcSec), Math.Abs(deAtNormalTimeArcSec - fittedDecArcSec)));
Assert.AreEqual(raAtNormalTimeArcSec, fittedRaArcSec, 0.1 /* 0.1 arcsec */);
Assert.AreEqual(deAtNormalTimeArcSec, fittedDecArcSec, 0.1 /* 0.1 arcsec */);
}