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Importer.py
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Importer.py
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# .------------------------------------------------------------------------------.
# | |
# | I M P O R T E R |
# | |
# '------------------------------------------------------------------------------'
import scipy
import scipy.interpolate as interpolate
from copy import *
from Vector import Vector
from Sample import Sample
class Importer(object):
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# P U B L I C F U N C T I O N S
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def __init__(self):
# Data
self.rawData = []
# Constants
self.samplingInterval = 10
self.scalingFactorA = Vector( 2.40, 4.40, -2.60 )
self.scalingFactorB = Vector( (1/2.10), (1/3.10), (1/0.65) )
self.minutePosition = 1
self.secondPosition = 2
self.millisecondPosition = 3
self.xPosition = 9
self.yPosition = 10
self.zPosition = 11
self.numberOfPaddingSamples = 400
def getInputData(self, fileName, samplingInterval):
self.samplingInterval = samplingInterval
self.rawData = []
self.importData(fileName)
self.removeDuplicateSamples()
self.resampleData()
self.shiftData()
self.padData()
self.scaleData()
return self.rawData
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# P R I V A T E F U N C T I O N S
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def importData(self, fileName):
input = open( fileName, 'r' )
for line in input:
tokens = line.split('\t')
sample = Sample()
minutes = int( tokens[self.minutePosition] )
seconds = int( tokens[self.secondPosition] )
milliseconds = int( tokens[self.millisecondPosition] )
sample.time = minutes * 60 * 1000 + seconds * 1000 + milliseconds
sample.position.x = float( tokens[self.xPosition] )
sample.position.y = float( tokens[self.yPosition] )
sample.position.z = float( tokens[self.zPosition] )
self.rawData.append(sample)
input.close()
def removeDuplicateSamples(self):
tempData = []
tempData.append(self.rawData[0])
for sample in self.rawData:
lastTimeSaved = tempData[-1].time
if sample.time > lastTimeSaved:
tempData.append(sample)
self.rawData = tempData
def resampleData(self):
tempData = []
tempData.append(self.rawData[0])
lastRecordedTime = tempData[-1].time
nextTimeToRecord = lastRecordedTime + self.samplingInterval
for index, sample in enumerate(self.rawData):
if sample.time == nextTimeToRecord:
tempData.append(sample)
lastRecordedTime = nextTimeToRecord
nextTimeToRecord = lastRecordedTime + self.samplingInterval
elif sample.time > nextTimeToRecord:
interpolationSamples = [ self.rawData[index-1], sample ]
while sample.time >= nextTimeToRecord:
interpolatedSample = self.interpolate(interpolationSamples, \
nextTimeToRecord)
tempData.append( interpolatedSample )
lastRecordedTime = nextTimeToRecord
nextTimeToRecord = lastRecordedTime + self.samplingInterval
self.rawData = tempData
def interpolate(self, samples, currentTime):
newSample = Sample()
newSample.time = currentTime
time = [ samples[0].time, samples[1].time ]
x = [ samples[0].position.x, samples[1].position.x ]
y = [ samples[0].position.y, samples[1].position.y ]
z = [ samples[0].position.z, samples[1].position.z ]
interpolationFunction = interpolate.interp1d( time, x )
newSample.position.x = interpolationFunction(currentTime).flatten()[0]
interpolationFunction = interpolate.interp1d( time, y )
newSample.position.y = interpolationFunction(currentTime).flatten()[0]
interpolationFunction = interpolate.interp1d( time, z )
newSample.position.z = interpolationFunction(currentTime).flatten()[0]
return newSample
def shiftData(self):
tempData = []
firstTime = self.rawData[0].time
for sample in self.rawData:
if sample.time >= firstTime:
newSample = Sample()
newSample.time = sample.time - firstTime + ( 10 * self.numberOfPaddingSamples)
newSample.position = copy( sample.position )
tempData.append(newSample)
self.rawData = tempData
def padData(self):
tempData = []
for index in range(0, self.numberOfPaddingSamples):
newSample = copy( self.rawData[0] )
newSample.time = index * 10
tempData.append(newSample)
for sample in self.rawData:
tempData.append(sample)
for index in range(0, self.numberOfPaddingSamples):
newSample = copy( self.rawData[-1] )
newSample.time = newSample.time + ( ( index + 1) * 10 )
tempData.append(newSample)
self.rawData = tempData
def scaleData(self):
tempData = []
for sample in self.rawData:
newSample = Sample()
newSample.time = sample.time
newSample.position = ( sample.position + self.scalingFactorA )
newSample.position.x = newSample.position.x * self.scalingFactorB.x
newSample.position.y = newSample.position.y * self.scalingFactorB.y
newSample.position.z = newSample.position.z * self.scalingFactorB.z
newSample.position = newSample.position - Vector(1,1,1)
tempData.append(newSample)
self.rawData = tempData