示例#1
0
def rawFeatureVector(id2, id1, biniter):
  if not id1 in iddict:
    iddict[id1]=getDendriticProfiles(id1, biniter)
  if not id2 in iddict:
    iddict[id2]=getDendriticProfiles(id2, biniter)
  
  histo1=iddict[id1]
  histo2=iddict[id2]
  xhisto1=histo1[0]
  yhisto1=histo1[1]
  zhisto1=histo1[2]
  xhisto2=histo2[0]
  yhisto2=histo2[1]
  zhisto2=histo2[2]

  #Calculation of sum of distances in bin is now included in 
  #getDendriticProfiles function to reduce runtime
  xsumDist1 = histo1[3]
  ysumDist1 = histo1[4]
  zsumDist1 = histo1[5]
  xsumDist2 = histo2[3]
  ysumDist2 = histo2[4]
  zsumDist2 = histo2[5]
    
  rawVector =  xhisto1 + xhisto2 + yhisto1 + yhisto2 + zhisto1 + zhisto2 + xsumDist1 +xsumDist2 + ysumDist1 + ysumDist2 + zsumDist1 + zsumDist2 
  return rawVector
示例#2
0
def featureVector(id1, id2, biniter):
  if not id1 in iddict:
    iddict[id1]=getDendriticProfiles(id1, biniter)
  if not id2 in iddict:
    iddict[id2]=getDendriticProfiles(id2, biniter)

  histo1=iddict[id1]
  histo2=iddict[id2]
  trainingvector =feature1(histo1,histo2, biniter) + feature2(histo1, histo2, biniter) + feature3(histo1, histo2, biniter) + feature4(histo1, histo2, biniter)

  return trainingvector
示例#3
0
def profileDistances(ID, biniter):

  histo=getDendriticProfiles(ID, biniter)

  xhisto=histo[0]
  yhisto=histo[1]
  zhisto=histo[2]

  xdistance=[]
  ydistance=[]
  zdistance=[]

  tree = Display.getFront().getLayerSet().findById(ID)
  coords = Matrix(getNodeCoordinates(tree))
  m=coords.getRowDimension()

  for i in range(0, m):
    xdist = coords.get(i, 1 )
    if xdist > 0 :
      xdistance.append(xdist)
    else:
      xdistance.append((-1)*xdist)

  for i in range(0, m):
    ydist = coords.get(i, 0 )
    if ydist > 0 :
      ydistance.append(ydist)
    else:
      ydistance.append((-1)*ydist)

  for i in range(0, m):
    zdist = sqrt(coords.get(i, 0)**2 + coords.get(i,1)**2)
    zdistance.append(zdist)

  return xdistance, ydistance, zdistance
示例#4
0
def rawHistogramVector(id1, id2, biniter):

  if not id1 in iddict:
    iddict[id1]=getDendriticProfiles(id1, biniter)
  if not id2 in iddict:
    iddict[id2]=getDendriticProfiles(id2, biniter)

  histo1=iddict[id1]
  histo2=iddict[id2]
  xhisto1=histo1[0]
  yhisto1=histo1[1]
  zhisto1=histo1[2]
  
  xhisto2=histo2[0]
  xhisto2=reversing(xhisto2)
  yhisto2=histo2[1]
  zhisto2=histo2[2]

  trainingvector = []
  trainingvector = xhisto1 + yhisto1 + zhisto1 + xhisto2 + yhisto2 + zhisto2
  return trainingvector