def evaluate(self, p):
if self.currSignal is None:
print "please capture some data firstly."
exit(1)
currSignal1 = self.filter(self.currSignal)
upperIndex = int(p * self.sampleSize)
lowerIndex = upperIndex - len(self.currSignal)
lowerIndex = 0 if lowerIndex < 0 else lowerIndex
if self.locationPrefer == 1:
totalDist = 0
totalPos = 0
dataCount = len(self.data)
for line in self.data:
dist, pos = dtwCalculate(currSignal1, line[lowerIndex: upperIndex])
totalDist += dist
totalPos += pos
return totalDist / dataCount, totalPos / dataCount + lowerIndex
else:
bestDist = 999999999
bestPos = 0
for line in self.data:
dist, pos = dtwCalculate(currSignal1, line[lowerIndex: upperIndex])
if dist < bestDist:
bestPos = pos
bestDist = dist
return bestDist, 0
def eval(self, p):
if self.currSignal is None:
print "please capture some data firstly."
exit(1)
lower = 0 if p - self.lower < 0 else p - self.lower
upper = 1 if p - self.upper > 1 else p + self.upper
lowerIndex = int(self.standardLength * lower)
upperIndex = int(self.standardLength * upper)
if self.locationPrefer == 1:
totalDist = 0
totalPos = 0
dataCount = len(self.data)
for line in self.data:
dist, pos = dtwCalculate(self.currSignal, line[lowerIndex: upperIndex])
totalDist += dist
totalPos += pos
return totalDist / dataCount, totalPos / dataCount + lowerIndex
else:
bestDist = 999999999
bestPos = 0
for line in self.data:
dist, pos = dtwCalculate(self.currSignal, line[lowerIndex: upperIndex])
if dist < bestDist:
bestPos = pos
bestDist = dist
return bestDist, float(bestPos + lowerIndex + len(self.lastSignal)) / self.standardLength
from config.Config import config from data.DataLoader import DataLoader from algorithm.Dtw import dtwCalculate testdatafilename = config.data['datafile']['test'] dl = DataLoader() line1 = dl.read(testdatafilename[0]) sub = line1[100:105] dist, position= dtwCalculate(sub, line1)
