def findEvents(self, records, sampleIndex):
#match records to existing tracks
for track in self.__tracking:
for rec in records:
if (track.matchPoint(sampleIndex, rec)):
track.addPoint(sampleIndex, rec["s"])
records.remove(rec)
#create new tracking for unused recs
for rec in records:
track = Track(sampleIndex, rec["d"])
track.addPoint(sampleIndex, rec["s"])
self.__tracking.append(track)
if self.trackDebugCallback != None:
self.trackDebugCallback(track, True)
#end old tracks
for track in self.__tracking:
if track.isOld(sampleIndex):
if track.isSignificant():
self.trackCallback(track)
elif self.trackDebugCallback != None:
self.trackDebugCallback(track, False)
self.__tracking.remove(track)
if dataTrack.mode == 'r':
lines = dataTrack.readlines()
for lin in lines:
spl = lin.split()
# First entry requires initialisation of track using track class definition from file
if count == 1:
track = Track((float(spl[0]), float(spl[1]), float(spl[2])), float(spl[3]), float(spl[4]), trackID, trackStart)
# Tracks are all already completed, so add straight to completeTracks array
completeTracks.append(track)
# All other entries can append existing track
else:
track.addPoint((float(spl[0]), float(spl[1]), float(spl[2])), float(spl[3]), float(spl[4]), int(spl[5]))
count += 1
dataTrack.close()
# DEBUG: Read in number of 1 frame detections for analysis
# dataSingleFrame = open("%sN1Frame.txt" % fileTrackDataOut, "r")
# line = dataSingleFrame.readlines()
# spl = line[0].split()
# N1Frame = int(spl[0])
# Plot single particle track of interest with image background:
