def AnalyzeTrackings(simName,
simParams,
skillNames,
trackRuns,
path='.',
tag_filters=None):
dirName = os.path.join(path, simName)
trackFile = os.path.join(dirName, simParams['noisyTrackFile'])
tagFile = os.path.join(dirName, simParams['simTagFile'])
simTags = ParamUtils.ReadSimTagFile(tagFile)
keeperIDs = ParamUtils.process_tag_filters(simTags, tag_filters)
(true_tracks, true_falarms) = FilterMHTTracks(*ReadTracks(trackFile))
lastFrame = (max(trk['frameNums'][-1]
for trk in (true_tracks + true_falarms))
if len(true_tracks) + len(true_falarms) > 0 else 0)
true_AssocSegs, trackIndices = CreateSegments(true_tracks,
retindices=True,
lastFrame=lastFrame)
# TODO: need to filter trackIndices as well!
true_AssocSegs = FilterSegments(keeperIDs, true_AssocSegs)
true_FAlarmSegs, falarmIndices = CreateSegments(true_falarms,
retindices=True,
lastFrame=lastFrame)
true_FAlarmSegs = FilterSegments(keeperIDs, true_FAlarmSegs)
# Initializing the analysis data, which will hold a table of analysis
# results for this simulation
analysis = np.empty((len(skillNames), len(trackRuns)))
labels = [skillNames, trackRuns]
for trackerIndex, tracker in enumerate(trackRuns):
obvFilename = os.path.join(dirName,
simParams['result_file'] + "_" + tracker)
(obvTracks, obvFAlarms) = FilterMHTTracks(*ReadTracks(obvFilename))
trk_segs = CreateSegments(obvTracks + obvFAlarms, lastFrame=lastFrame)
trk_segs = FilterSegments(keeperIDs, trk_segs)
truthTable = MakeContingency(true_AssocSegs + true_FAlarmSegs,
trk_segs)
#print("Margin Sums: %d" % (len(truthTable['assocs_Correct']) +
# len(truthTable['assocs_Wrong']) +
# len(truthTable['falarms_Wrong']) +
# len(truthTable['falarms_Correct'])))
for skillIndex, skill in enumerate(skillNames):
analysis[skillIndex, trackerIndex] = Analyzers.skillcalcs[skill](
tracks=obvTracks,
falarms=obvFAlarms,
truthTable=truthTable,
true_tracks=true_tracks,
true_falarms=true_falarms,
track_indices=trackIndices,
falarm_indices=falarmIndices)
# (Skills x TrackRuns)
return larry(analysis, labels)
def main(args):
import os.path # for os.path.join()
import glob # for globbing
if args.bw_mode:
BW_mode() # from TrackPlot module
# FIXME: Currently, the code allows for trackFiles to be listed as well
# as providing a simulation (which trackfiles are automatically
# grabbed). Both situations can not be handled right now, though.
trackFiles = []
trackTitles = []
polyfiles = args.polys
if args.statName is not None and args.statLonLat is None:
statData = ByName(args.statName)[0]
args.statLonLat = (statData['LON'], statData['LAT'])
if args.simName is not None:
dirName = os.path.join(args.directory, args.simName)
simParams = ParamUtils.ReadSimulationParams(
os.path.join(dirName, "simParams.conf"))
if args.trackRuns is not None:
simParams['trackers'] = ExpandTrackRuns(simParams['trackers'],
args.trackRuns)
trackFiles = [
os.path.join(dirName, simParams['result_file'] + '_' + aTracker)
for aTracker in simParams['trackers']
]
trackTitles = simParams['trackers']
if args.truthTrackFile is None:
args.truthTrackFile = os.path.join(dirName,
simParams['noisyTrackFile'])
if args.simTagFile is None:
args.simTagFile = os.path.join(dirName, simParams['simTagFile'])
trackFiles += args.trackFiles
trackTitles += args.trackFiles
if args.trackTitles is not None:
trackTitles = args.trackTitles
if len(trackFiles) == 0: print "WARNING: No trackFiles given or found!"
if args.layout is None:
args.layout = (1, len(trackFiles))
if args.figsize is None:
args.figsize = plt.figaspect(float(args.layout[0]) / args.layout[1])
if len(trackFiles) < len(polyfiles):
raise ValueError("Can not have more polygon files than trackfiles!")
trackerData = [
FilterMHTTracks(*ReadTracks(trackFile)) for trackFile in trackFiles
]
polyData = [
_load_verts(f, tracks + falarms)
for f, (tracks, falarms) in zip(polyfiles, trackerData)
]
keeperIDs = None
if args.simTagFile is not None:
simTags = ParamUtils.ReadSimTagFile(args.simTagFile)
keeperIDs = ParamUtils.process_tag_filters(simTags, args.filters)
if args.statLonLat is not None:
for aTracker in trackerData:
CoordinateTransform(aTracker[0] + aTracker[1], args.statLonLat[0],
args.statLonLat[1])
for polys in polyData:
CoordinateTrans_lists(polys, args.statLonLat[0],
args.statLonLat[1])
theFig = plt.figure(figsize=args.figsize)
grid = AxesGrid(
theFig,
111,
nrows_ncols=args.layout, # aspect=False,
share_all=True,
axes_pad=0.45)
if args.truthTrackFile is not None:
(true_tracks,
true_falarms) = FilterMHTTracks(*ReadTracks(args.truthTrackFile))
if args.statLonLat is not None:
CoordinateTransform(true_tracks + true_falarms, args.statLonLat[0],
args.statLonLat[1])
true_AssocSegs = CreateSegments(true_tracks)
true_FAlarmSegs = CreateSegments(true_falarms)
if keeperIDs is not None:
true_AssocSegs = FilterSegments(keeperIDs, true_AssocSegs)
true_FAlarmSegs = FilterSegments(keeperIDs, true_FAlarmSegs)
(xLims, yLims,
frameLims) = DomainFromTracks(true_tracks + true_falarms)
else:
true_AssocSegs = None
true_FAlarmSegs = None
stackedTracks = []
for aTracker in trackerData:
stackedTracks += aTracker[0] + aTracker[1]
(xLims, yLims, frameLims) = DomainFromTracks(stackedTracks)
startFrame = args.startFrame
endFrame = args.endFrame
tail = args.tail
if startFrame is None:
startFrame = 0
if endFrame is None:
endFrame = frameLims[1]
if tail is None:
tail = endFrame - startFrame
# A common timer for all animations for syncing purposes.
theTimer = None
if args.radarFile is not None and args.statLonLat is not None:
if endFrame >= len(args.radarFile):
# Not enough radar files, so truncate the tracks.
endFrame = len(args.radarFile) - 1
files = args.radarFile[startFrame:(endFrame + 1)]
radAnim = RadarAnim(theFig, files)
theTimer = radAnim.event_source
for ax in grid:
radAnim.add_axes(ax, alpha=0.6, zorder=0)
else:
radAnim = None
showMap = (args.statLonLat is not None and args.displayMap)
if showMap:
bmap = Basemap(projection='cyl',
resolution='i',
suppress_ticks=False,
llcrnrlat=yLims[0],
llcrnrlon=xLims[0],
urcrnrlat=yLims[1],
urcrnrlon=xLims[1])
animator = SegAnimator(theFig,
startFrame,
endFrame,
tail,
event_source=theTimer,
fade=args.fade)
for index, (tracks, falarms) in enumerate(trackerData):
curAxis = grid[index]
if showMap:
PlotMapLayers(bmap, mapLayers, curAxis, zorder=0.1)
if true_AssocSegs is not None and true_FAlarmSegs is not None:
trackAssocSegs = CreateSegments(tracks)
trackFAlarmSegs = CreateSegments(falarms)
if keeperIDs is not None:
trackAssocSegs = FilterSegments(keeperIDs, trackAssocSegs)
trackFAlarmSegs = FilterSegments(keeperIDs, trackFAlarmSegs)
truthtable = CompareSegments(true_AssocSegs, true_FAlarmSegs,
trackAssocSegs, trackFAlarmSegs)
l, d = Animate_Segments(truthtable, (startFrame, endFrame),
axis=curAxis)
else:
if keeperIDs is not None:
filtFunc = lambda trk: FilterTrack(trk, cornerIDs=keeperIDs)
tracks = map(filtFunc, tracks)
falarms = map(filtFunc, falarms)
CleanupTracks(tracks, falarms)
l, d = Animate_PlainTracks(tracks,
falarms, (startFrame, endFrame),
axis=curAxis)
animator._lines.extend(l)
animator._lineData.extend(d)
#curAxis.set_aspect("equal", 'datalim')
#curAxis.set_aspect("equal")
curAxis.set_title(trackTitles[index])
if not showMap:
curAxis.set_xlabel("X")
curAxis.set_ylabel("Y")
else:
curAxis.set_xlabel("Longitude (degrees)")
curAxis.set_ylabel("Latitude (degrees)")
polyAnims = []
for ax, verts in zip(grid, polyData):
from matplotlib.animation import ArtistAnimation
polyAnim = ArtistAnimation(theFig,
_to_polygons(polys[startFrame:endFrame + 1],
ax),
event_source=theTimer)
polyAnims.append(polyAnim)
if args.xlims is not None and np.prod(grid.get_geometry()) > 0:
grid[0].set_xlim(args.xlims)
if args.ylims is not None and np.prod(grid.get_geometry()) > 0:
grid[0].set_ylim(args.ylims)
if args.saveImgFile is not None:
if radAnim is not None:
radAnim = [radAnim]
else:
radAnim = []
animator.save(args.saveImgFile, extra_anim=radAnim + polyAnims)
if args.doShow:
plt.show()
def main(args):
import os.path
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid
if args.bw_mode:
BW_mode() # from TrackPlot module
# FIXME: Currently, the code allows for trackFiles to be listed as well
# as providing a simulation (which trackfiles are automatically
# grabbed). Both situations can not be handled right now, though.
trackFiles = []
trackTitles = []
if args.simName is not None:
dirName = os.path.join(args.directory, args.simName)
simParams = ParamUtils.ReadSimulationParams(
os.path.join(dirName, "simParams.conf"))
if args.trackRuns is not None:
simParams['trackers'] = ExpandTrackRuns(simParams['trackers'],
args.trackRuns)
trackFiles = [
os.path.join(dirName, simParams['result_file'] + '_' + aTracker)
for aTracker in simParams['trackers']
]
if args.trackTitles is None:
trackTitles = simParams['trackers']
else:
trackTitles = args.trackTitles
if args.truthTrackFile is None:
args.truthTrackFile = os.path.join(dirName,
simParams['noisyTrackFile'])
if args.simTagFile is None:
args.simTagFile = os.path.join(dirName, simParams['simTagFile'])
trackFiles += args.trackFiles
if args.trackTitles is None:
trackTitles += args.trackFiles
else:
trackTitles += args.trackTitles
if len(trackFiles) == 0: print "WARNING: No trackFiles given or found!"
if len(trackTitles) != len(trackFiles):
raise ValueError("The number of TITLEs do not match the"
" number of TRACKFILEs.")
if args.statName is not None and args.statLonLat is None:
statData = ByName(args.statName)[0]
args.statLonLat = (statData['LON'], statData['LAT'])
if args.layout is None:
args.layout = (1, len(trackFiles))
if args.figsize is None:
args.figsize = plt.figaspect(float(args.layout[0]) / args.layout[1])
polyfiles = args.polys
trackerData = [
FilterMHTTracks(*ReadTracks(trackFile)) for trackFile in trackFiles
]
polyData = [
_load_verts(f, tracks + falarms)
for f, (tracks, falarms) in zip(polyfiles, trackerData)
]
keeperIDs = None
if args.simTagFile is not None:
simTags = ParamUtils.ReadSimTagFile(args.simTagFile)
keeperIDs = ParamUtils.process_tag_filters(simTags, args.filters)
if args.statLonLat is not None:
for aTracker in trackerData:
CoordinateTransform(aTracker[0] + aTracker[1], args.statLonLat[0],
args.statLonLat[1])
for polys in polyData:
CoordinateTrans_lists(polys, args.statLonLat[0],
args.statLonLat[1])
theFig = plt.figure(figsize=args.figsize)
grid = AxesGrid(theFig,
111,
nrows_ncols=args.layout,
aspect=False,
share_all=True,
axes_pad=0.35)
if args.truthTrackFile is not None:
(true_tracks,
true_falarms) = FilterMHTTracks(*ReadTracks(args.truthTrackFile))
if args.statLonLat is not None:
CoordinateTransform(true_tracks + true_falarms, args.statLonLat[0],
args.statLonLat[1])
true_AssocSegs = CreateSegments(true_tracks)
true_FAlarmSegs = CreateSegments(true_falarms)
if keeperIDs is not None:
true_AssocSegs = FilterSegments(keeperIDs, true_AssocSegs)
true_FAlarmSegs = FilterSegments(keeperIDs, true_FAlarmSegs)
(xLims, yLims,
frameLims) = DomainFromTracks(true_tracks + true_falarms)
else:
true_AssocSegs = None
true_FAlarmSegs = None
stackedTracks = []
for aTracker in trackerData:
stackedTracks += aTracker[0] + aTracker[1]
(xLims, yLims, frameLims) = DomainFromTracks(stackedTracks)
endFrame = args.endFrame
tail = args.tail
if endFrame is None:
endFrame = frameLims[1]
if tail is None:
tail = endFrame - frameLims[0]
startFrame = endFrame - tail
showMap = (args.statLonLat is not None and args.displayMap)
if args.radarFile is not None and args.statLonLat is not None:
if len(args.radarFile) > 1 and args.endFrame is not None:
args.radarFile = args.radarFile[args.endFrame]
else:
args.radarFile = args.radarFile[-1]
raddata = LoadRastRadar(args.radarFile)
else:
raddata = None
if showMap:
bmap = Basemap(projection='cyl',
resolution='i',
suppress_ticks=False,
llcrnrlat=yLims[0],
llcrnrlon=xLims[0],
urcrnrlat=yLims[1],
urcrnrlon=xLims[1])
for index, (tracks, falarms) in enumerate(trackerData):
curAxis = grid[index]
if raddata is not None:
MakeReflectPPI(raddata['vals'][0],
raddata['lats'],
raddata['lons'],
meth='pcmesh',
ax=curAxis,
colorbar=False,
axis_labels=False,
zorder=0,
alpha=0.6)
if showMap:
PlotMapLayers(bmap, mapLayers, curAxis)
if true_AssocSegs is not None and true_FAlarmSegs is not None:
trackAssocSegs = CreateSegments(tracks)
trackFAlarmSegs = CreateSegments(falarms)
if keeperIDs is not None:
trackAssocSegs = FilterSegments(keeperIDs, trackAssocSegs)
trackFAlarmSegs = FilterSegments(keeperIDs, trackFAlarmSegs)
truthtable = CompareSegments(true_AssocSegs, true_FAlarmSegs,
trackAssocSegs, trackFAlarmSegs)
PlotSegments(truthtable, (startFrame, endFrame),
axis=curAxis,
fade=args.fade)
else:
if keeperIDs is not None:
filtFunc = lambda trk: FilterTrack(trk, cornerIDs=keeperIDs)
tracks = map(filtFunc, tracks)
falarms = map(filtFunc, falarms)
CleanupTracks(tracks, falarms)
PlotPlainTracks(tracks,
falarms,
startFrame,
endFrame,
axis=curAxis,
fade=args.fade)
#curAxis.set_xlim(xLims)
#curAxis.set_ylim(yLims)
#curAxis.set_aspect("equal", 'datalim')
#curAxis.set_aspect("equal")
curAxis.set_title(trackTitles[index])
if not showMap:
curAxis.set_xlabel("X")
curAxis.set_ylabel("Y")
else:
curAxis.set_xlabel("Longitude")
curAxis.set_ylabel("Latitude")
for ax, verts in zip(grid, polyData):
_to_polygons(verts[endFrame:endFrame + 1], ax)
if args.xlims is not None and np.prod(grid.get_geometry()) > 0:
grid[0].set_xlim(args.xlims)
if args.ylims is not None and np.prod(grid.get_geometry()) > 0:
grid[0].set_ylim(args.ylims)
if args.saveImgFile is not None:
theFig.savefig(args.saveImgFile, bbox_inches='tight')
if args.doShow:
plt.show()