def readRotations(self):
#Unpacks the map parameters
inputStream = open(self.__fileName, 'rb')
somTools.ignoreHeaderComments(inputStream)
self.__numberOfImages = struct.unpack("i", inputStream.read(4))[0]
self.__somWidth = struct.unpack("i", inputStream.read(4))[0]
self.__somHeight = struct.unpack("i", inputStream.read(4))[0]
self.__somDepth = struct.unpack("i", inputStream.read(4))[0]
print ("images: " + str(self.__numberOfImages))
print ("width: " + str(self.__somWidth))
print ("height: " + str(self.__somHeight))
print ("depth: " + str(self.__somDepth))
#Unpacks data
try:
while True:
dataF = numpy.ones(self.__somWidth * self.__somHeight * self.__somDepth * self.__numberOfImages)
dataR = numpy.ones(self.__somWidth * self.__somHeight * self.__somDepth * self.__numberOfImages)
for i in range(self.__somWidth * self.__somHeight * self.__somDepth * self.__numberOfImages):
dataF[i] = struct.unpack_from("?", inputStream.read(1))[0]
dataR[i] = struct.unpack_from("f", inputStream.read(4))[0]
self.__flipped.append(dataF)
self.__rotations.append(dataR)
except:
inputStream.close()
self.__flipped = numpy.array(self.__flipped)
self.__rotations = numpy.array(self.__rotations)
print ("rotations loaded")
inputStream.close()
def readMap(self):
#Unpacks the map parameters
inputStream = open(self.__fileName, 'rb')
somTools.ignoreHeaderComments(inputStream)
self.__numberOfChannels = struct.unpack("i", inputStream.read(4))[0]
self.__somWidth = struct.unpack("i", inputStream.read(4))[0]
self.__somHeight = struct.unpack("i", inputStream.read(4))[0]
self.__somDepth = struct.unpack("i", inputStream.read(4))[0]
self.__neuronWidth = struct.unpack("i", inputStream.read(4))[0]
self.__neuronHeight = struct.unpack("i", inputStream.read(4))[0]
print ("channels: " + str(self.__numberOfChannels))
print ("width: " + str(self.__somWidth))
print ("height: " + str(self.__somHeight))
print ("depth: " + str(self.__somDepth))
print ("neurons: " + str(self.__neuronWidth) +"x" + str(self.__neuronHeight))
#Unpacks data
try:
while True:
data = numpy.ones(self.__neuronWidth * self.__neuronHeight * self.__numberOfChannels)
for i in range(self.__neuronWidth * self.__neuronHeight * self.__numberOfChannels):
data[i] = struct.unpack_from("f", inputStream.read(4))[0]
self.__neurons.append(data)
except:
inputStream.close()
self.__neurons = numpy.array(self.__neurons)
print (str(len(self.__neurons)) + " neurons loaded")
inputStream.close()
def readMap(self):
#Unpacks the map parameters
inputStream = open(self.__fileName, 'rb')
somTools.ignoreHeaderComments(inputStream) # find end of header
self.__numberOfImages = struct.unpack("i", inputStream.read(4))[0]
self.__somWidth = struct.unpack("i", inputStream.read(4))[0]
self.__somHeight = struct.unpack("i", inputStream.read(4))[0]
self.__somDepth = struct.unpack("i", inputStream.read(4))[0]
print("images: " + str(self.__numberOfImages))
print("width: " + str(self.__somWidth))
print("height: " + str(self.__somHeight))
print("depth: " + str(self.__somDepth))
start = inputStream.tell()
if os.path.getsize(
self.__fileName
) < self.__numberOfImages * self.__somWidth * self.__somHeight * self.__somDepth * 4 + start:
self.__shape = "hex"
else:
self.__shape = "box"
#Unpacks data
hexSize = int(1.0 + 6.0 * (((self.__somWidth - 1) / 2.0 + 1.0) *
(self.__somHeight - 1) / 4.0))
try:
while True:
if self.__shape == "box":
data = numpy.ones(self.__somWidth * self.__somHeight *
self.__somDepth)
for i in range(self.__somWidth * self.__somHeight *
self.__somDepth):
data[i] = struct.unpack_from("f",
inputStream.read(4))[0]
self.__maps.append(data)
else:
data = numpy.ones(hexSize)
for i in range(hexSize):
data[i] = struct.unpack_from("f",
inputStream.read(4))[0]
self.__maps.append(data)
except:
inputStream.close()
self.__maps = numpy.array(self.__maps)
print(str(len(self.__maps)) + " maps loaded")