def createHierarchy(self, depth=1, inputSize=10):
region = []
for level in range(0, depth):
regionInputSize = int(abs(inputSize / 2**level))
regionOutputSize = int(abs(inputSize / 2**(level + 1)))
print regionInputSize
print regionOutputSize
self.regions.append(
Region([regionInputSize, regionInputSize],
[regionOutputSize, regionOutputSize],
pctInputPerCol=0.15,
pctMinOverlap=0.0,
localityRadius=regionOutputSize,
pctLocalActivity=0.0,
cellsPerCol=1,
segActiveThreshold=1,
newSynapseCount=25))
def createRegion(self):
""" Create the CLA Region and some default simple data. """
self.datas = []
self.datas.append(self.getData1())
# self.datas.append(self.getData2())
# self.datas.append(self.getData3())
# self.datas.append(self.getData4())
imgs = []
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/A.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/B.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/C.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/D.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/E.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/F.bmp"))
# imgs.append(Image.open("C:/apps/numenta/cla/bitmaps/G.bmp"))
datas = []
for img in imgs:
pix = img.load()
imgData = []
for r in xrange(img.size[0]):
row = []
for c in xrange(img.size[1]):
p = pix[c, r]
if p == 0:
p = 1
elif p == 255:
p = 0
row.append(p)
imgData.append(row)
datas.append(imgData)
self.datas.append(datas)
self.dNum = 0
self.data = list(self.datas[0][0])
self.time = 0
self.region = Region(self.data)
